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5 Reasons To Smile – Tineco Delivers Up To 56% Off On Amazon This Week

The global #1 in wet and dry hard floor cleaning goes big for the Amazon Big Smile Sale

SYDNEY, March 17, 2026 /PRNewswire/ — Tineco, the global #1 leader in wet and dry hard floor cleaning, is bringing a smile to the faces of house-proud Australians this week, with up to 56% off its wet and dry floor cleaners and stick vacuums range as part of the Amazon Big Smile Sale.

5 Reasons To Smile – Tineco Delivers Up To 56% Off On Amazon This Week
5 Reasons To Smile – Tineco Delivers Up To 56% Off On Amazon This Week

The start of autumn, wet weather and the extra dirt and mud coming through the house means it’s a great time to invest in convenient, deep and hygienic cleaning at home. Running from today through to Sunday, March 22, the Amazon Big Smile Sale will give Australians access to Tineco’s leading cleaning features, including its renowned HyperSteam, HyperStretch and FlashDry self-cleaning technologies, all at a fraction of the normal recommended retail prices.

Tineco’s model line-up for this year’s Amazon Big Smile Sale deals combine design and performance, with hard to beat savings:

A key feature that sets Tineco wet and dry floor cleaners apart is the brand’s proprietary MHCBS (Maintain Hygiene Clean Brush System) Technology, which involves a floating scraper continuously washing and rinsing the roller brush with fresh water while also keeping it free from tangles, to ensure a spotless finish and hygienic floor after cleaning. This makes a significant difference in the effectiveness of the floor clean, with only clean water used at all times of the cleaning process.

Tineco’s ongoing commitment to provide feature-rich and value-for-money cleaning solutions for consumers has led the company to be recognised as the #1 global leader in the household wet & dry floor cleaner category* for the fourth consecutive year by Euromonitor International, the world’s leading independent provider of strategic market research.

Tineco has also been the #1 wet & dry floor cleaner brand on Amazon in Australia, United States, Canada, France, Italy, and Japan for three years running, with the brand working hard to deliver deep discounts once again as part of this year’s Big Smile Sale.

Chris Loong of Tineco says: “Millions of consumers around the world put their trust in the Tineco brand to deliver deep, effective floor cleaning solutions for their home. The Amazon Big Smile Sale is the ideal opportunity for Australians to secure significant savings on our range of wet and dry floor cleaners and stick vacuums, exclusively available through Amazon Australia.”

“Whether you live in an apartment or have a busy household with children and pets, our range of wet and dry floor cleaners integrate cleaning technologies such as steam power and HyperStretch Technology with 180° lay-flat design to ensure that dust, dirt and messes have nowhere to hide.”

Tineco’s FLOOR ONE Stretch S6 (RRP $899, now $399 – 56% OFF) cleans up wet and dry messes in one step and offers Dual-sided Edge Cleaning to get close up to skirtings and walls. Its 45° swivel design helps easily manoeuvre around furniture such as chairs and table legs and combined with a lay-flat design that reduces to just 13cm to get under low furniture, the Stretch S6 has daily spot cleaning covered. The inclusion of Tineco’s signature FlashDry self-cleaning system that uses 70° fresh water and air to clean and dry from the pipes to the rollers means hands-free maintenance and an appliance that is always at the ready for its next task.

Featuring Tineco’s premium HyperSteam Technology, the FLOOR ONE i7 Stretch Steam (RRP $999, now $599 – 40% OFF) uses super-heated steam (up to 140℃ and reaching the floor at no less than 99℃) to dissolve stubborn grease, stains and sticky residue from floor surfaces. The 180° lay-flat design effortlessly reaches low areas, enabling the cleaning of hidden dust at heights as low as 13 cm. An 80-min run time allows for whole-house cleaning on a single charge and FlashDry self-cleaning makes post-use clean up quick and easy.

Boasting an elegant design, Tineco’s FLOOR ONE S7 Artist (RRP $899, now $579 – 36% OFF) subtly blends into the aesthetic of modern homes while retaining high performance, effective deep cleaning with powerful 22kPa suction and a 50-min run time. Its ultra-slim lay-flat design means the appliance compresses to just 12.85cm to fit under beds and sofas, and DualBlock Anti-Tangle scrapers prevent hair tangling and clogging – ideal for homes with fur-friends sharing living areas. FlashDry self-cleaning also features in this model, giving consumers every reason to smile thanks to a value-packed deal.

Tineco’s FLOOR ONE Switch S7 Stretch (RRP $1,199, now $799 – 33% OFF) is a 5-in-1 multi-function cleaner that features a SwitchPro Motor to switch between floor washer and vacuum for whole-house cleaning on the go. DualBlock Anti-Tangle design and ZeroTangle Brush design targets hair messes and pet fur with ease and prevents tangling. An upgraded FlashDry self-cleaning system uses fresh water heated to 85°C to effectively dissolve stains from the pipe to the brush roller after use and the 85°C hot air effectively dries every part of the machine.

Tineco’s PURE ONE Station 5 (RRP $799, now $559 – 30% OFF) automatically self-cleans and recharges when returned to its station, saving users time and hassle of after-use cleaning. This model features full-path self-cleaning meaning the brush, tube, filter and dustbin are thoroughly cleaned after each use. Its Station Dura-cyclone System features multiple cyclones and a self-cleaning HEPA filter to maintain strong, consistent suction power over time, and a unique brush head design, combined with a wider tube and a larger connection port inside the vacuum, allows the Station5 to easily pick up large debris without clogging.

Tineco’s Amazon Big Smile Sale deals are available at www.amazon.com.au from 16th March to 22nd March 2026. To learn more about Tineco’s Amazon range of intelligent stick vacuums, floor washers, and carpet cleaners, visit https://www.amazon.com.au/tineco

ABOUT TINECO
Tineco (“tin-co”) was founded in 1998 with its first product launch as a vacuum cleaner and, in 2019, pioneered the first-ever smart vacuum. Today, the brand has evolved into a global leader in intelligent appliances spanning floor care, kitchen, and personal care categories. With a growing user base of over 23 million households and availability in approximately 30 countries worldwide, Tineco remains committed to its brand vision of making life easier through smart technology and continuous innovation. For more information, visit https://au.tineco.com/  

Nscale Acquires American Intelligence & Power Corporation, Creating a Full Stack AI Hyperscaler, Integrated from Energy to Compute

  • Nscale Acquires the Monarch Compute Campus — America’s First State-Certified AI Microgrid with a Potential of up to 8GW+ of Onsite Powered Microgrid

SAN JOSE, Calif., March 17, 2026 /PRNewswire/ — Nscale has signed an agreement to acquire American Intelligence & Power Corporation (“AIPCorp”), sponsored by Fidelis New Energy and 8090 Industries, including the Monarch Compute Campus in West Virginia — with plans to build one of the world’s largest AI Factories.

The acquisition secures the Monarch Compute Campus, a site with up to 2,250 acres in Mason County, West Virginia, and the United States’ first state-certified AI microgrid with a power runway scalable to over 8 gigawatts. It also establishes Nscale Energy & Power, a new global division of Nscale headquartered in Houston, Texas. The site has access to long-term, low-cost, onsite powered microgrid to support multi-gigawatt expansion over the long-term, a key bottleneck in the buildout of in-demand, cutting-edge AI compute.

The West Virginia campus is the first state-certified utility grid purpose-built for AI workloads in the United States. Initial power capacity of 2 gigawatts is expected to be online by the first half of 2028 with an expansion to approximately 8 gigawatts planned for 2031.

“Nscale is a global company, and the US is the world’s largest AI infrastructure market. AI infrastructure needs to be built where demand is, and right now a significant share of that demand is in the United States,” said Josh Payne, CEO of Nscale. “Monarch allows us to meet that demand. The acquisition builds on our existing US footprint and reflects the pace at which we are scaling to serve customers around the world.”

Nscale Energy & Power

Nscale Energy & Power will be led by veteran energy executive Daniel Shapiro as Chief

Power Officer, alongside Bengt Jarlsjo as Deputy Chief Power Officer. The full AIPCorp and Fidelis New Energy organization — leadership and staff — joins Nscale as part of the acquisition. AIPCorp’s team brings nearly a decade of experience and continuity in AI infrastructure development and will support Nscale’s development of the Monarch Compute Campus and Nscale’s future global development and expansion operations.

“The vision for AIPCorp was always to build the vertically integrated power-and-compute model that this combination achieves instantly. This combination — plus Nscale’s disciplined balance sheet — delivers exactly what the high-growth AI market demands: a debottlenecked, integrated neocloud platform built to scale,” said Daniel Shapiro, Chief Power Officer.

Morgan Stanley & Co. LLC acted as financial advisor, and Latham & Watkins served as legal counsel, each to Nscale. Greenhill, a Mizuho affiliate, acted as exclusive financial advisor to AIPCorp, and Vinson & Elkins LLP served as legal counsel to Fidelis New Energy.

About Nscale

Nscale is building the global hyperscaler engineered for AI infrastructure. Through vertically integrated AI solutions and modular, first-principles datacenter design across Europe and North America, Nscale delivers the compute foundation for enterprise AI training, fine-tuning, and inference at scale.

Media Contact: press@nscale.com 

Nscale and Microsoft Announce Collaboration with NVIDIA and Caterpillar to Deliver 1.35GW of NVIDIA Vera Rubin NVL72 GPUs at Flagship AI Factory Campus in West Virginia

  • Nscale Acquires the Monarch Compute Campus — America’s First State-Certified AI Microgrid with a potential of up to 8GW+ of onsite powered microgrid
  • Nscale Signs Letter of Intent with Microsoft for up to 1.35GW of AI Compute using NVIDIA Vera Rubin NVL72 GPUs
  • Establishes Nscale Energy & Power, Positions Nscale as Global Flagship Deployment Partner for NVIDIA Vera Rubin Architecture, NVIDIA DSX AI Factory

SAN JOSE, Calif., March 17, 2026 /PRNewswire/ — Nscale has signed a letter of intent with Microsoft to provide 1.35 gigawatts of AI compute capacity, setting up the West Virginia Monarch AI campus as a global flagship deployment of NVIDIA’s next-generation Vera Rubin GPUs as Vera Rubin NVL72 systems engineered with the NVIDIA Vera Rubin DSX AI Factory reference design.

Nscale today also announced the acquisition of American Intelligence & Power Corporation (“AIPCorp”), sponsored by Fidelis New Energy and 8090 Industries, which includes the Monarch Compute Campus, a site with up to 2,250 acres in Mason County, West Virginia, and the United States’ first state-certified AI microgrid with a power runway scalable to over eight gigawatts.

Under the collaboration with Microsoft, Nscale will construct and operate advanced AI data center infrastructure to host this large-scale GPU deployment based on the latest generation NVIDIA Vera Rubin NVL72 GPUs and future technologies. The deployment will be delivered across multiple tranches beginning in late 2027, creating one of the largest dedicated AI compute installations in the world.

The planned infrastructure will operate under a long-term framework that includes an initial multi-year compute services term alongside a long-term data centre lease structure, reflecting the scale and strategic importance of the facility. This positions the campus to be a cornerstone facility for next-generation AI training and inference capacity in the United States.

“This collaboration with Microsoft marks a pivotal milestone both for Nscale and the development of the Monarch Campus,” said Josh Payne, CEO of Nscale. “By integrating our specialized AI infrastructure with Microsoft’s global platform, we are creating a foundation for innovation that can scale alongside the most ambitious AI models in the world”.

This acquisition and collaboration comes at a crucial moment. AI is forecast to drive a sharp increase in global data center demand, but estimates suggest existing supply is constrained by the pace at which power and new capacity can be brought online. McKinsey estimates AI-related data center capacity demand could reach 156 GW by 2030. The Monarch Compute Campus will build on Nscale’s current capacity of over 1GW.

The expansion capabilities of this site — which has the potential for a total power draw of 8GW — will allow Nscale to develop power capacity rapidly while supporting one of the largest announced AI compute deployments in the market today.

The campus is also expected to provide high-speed fiber connectivity to some of the nation’s largest AI hubs. Its close proximity to major centers of AI and cloud infrastructure, including Ashburn and Chicago, will offer customers low latency and minimal delays for AI workloads.

“Microsoft’s datacenter approach is to build the best global infrastructure informed by near-term and long-term demand,” said Jon Tinter, President, Business Development and Ventures at Microsoft. “Our investments blend owned datacenters, leased facilities, and strategic collaborations. This collaboration with Nscale and NVIDIA is an important step to deliver meaningful AI innovation to our customers.”

“AI is becoming essential infrastructure for every industry,” said Nico Caprez, Vice President, Global AI Infrastructure Growth, NVIDIA. “With this large-scale NVIDIA DSX AI Factory Blueprint, Nscale is building the infrastructure required to produce intelligence at industrial scale and power the next wave of global innovation.”

Power collaboration with Caterpillar

Through a strategic collaboration with Caterpillar, Nscale will deploy Caterpillar G3500 series natural gas generator sets at sufficient scale to achieve two gigawatts of power generation by the first half of 2028, powering the NVIDIA Vera Rubin DSX AI Factory reference design.

“This collaboration reflects Caterpillar and our dealers’ continued focus on supporting customers that require primary, continuous-duty power at scale through our broad energy solutions portfolio,” said Melissa Busen, senior vice president of Electric Power, Caterpillar. “Projects like Monarch demonstrate how Caterpillar’s natural gas generation platforms are being deployed as core infrastructure for data centers and other power intensive applications where reliability, speed of deployment, and lifecycle performance are critical.”

The G3500 series units provide Nscale with a proven, rapid-deployment power solution that collapses traditional infrastructure timelines and accelerates the path from site to live compute.

Providing positive community impact

Nscale is working closely with state and local officials and community partners to ensure the development delivers lasting value for the region. The campus is being designed with local and environmental resources in mind. Power will be generated on-site as the facility operates independently of the local grid, eliminating the burden on existing utility customers and protecting ratepayers’ bills. The microgrid is also designed to enable future tie-in to the grid for export of power back to the grid.

Nscale is also pursuing carbon sequestration to offset emissions, with access to significant sequestration capacity in West Virginia. Even at full 8GW capacity, the campus will use a high-efficiency design that consumes less water with no impact on municipal water supply or residential users.

About Nscale

Nscale is building the global hyperscaler engineered for AI infrastructure. Through vertically integrated AI solutions and modular, first-principles datacenter design across Europe and North America, Nscale delivers the compute foundation for enterprise AI training, fine-tuning, and inference at scale.

Media Contact: press@nscale.com 

AIC to Showcase AI Storage Platforms for Scalable Inference at NVIDIA GTC 2026

SAN JOSE, Calif., March 17, 2026 /PRNewswire/ — AIC, a global leader in enterprise storage and server solutions, will exhibit at NVIDIA GTC 2026, taking place March 16-19 at the San Jose McEnery Convention Center. At booth #140, AIC will present its latest AI storage platforms designed to support CMX-aligned architectures for large-scale inference, enabling shared NVMe tiers that extend GPU memory for long-context and agent-based workloads.

AI inference requires high-density, low-latency storage to support KV cache, vector databases, and continuous data streams. AIC’s NVMe and DPU-enabled platforms provide the flash capacity and bandwidth needed to keep GPUs supplied with data across rack-scale deployments. In parallel, AIC is showcasing system designs that support GPU-initiated storage access models, where data is delivered directly from NVMe to accelerated compute to reduce CPU overhead and improve I/O efficiency for data-intensive workloads.

Featured Demonstrations at AIC’s Booth #140:

  • F2026-G5 JBOF with BlueField integration 
    A high-density, DPU-accelerated NVMe platform designed to support CMX-aligned shared flash tiers, enabling scalable NVMe-oF architectures for large-scale AI inference deployments.
  • CMX, 2U 24-bay Bluefield DPU Solution.
    A compact, high-performance NVMe platform populated with Solidigm PCIe Gen5 enterprise NVMe SSDs and powered by the NVIDIA BlueField DPU to accelerate KV cache access, enabling higher-performance and more efficient AI inference. The platform is optimized for high-capacity flash configurations that support KV cache expansion, vector database workloads, and CMX-aligned inference environments.
  • 3U SCADA-Optimized System 
    A 3U system configured to support GPU-driven storage access models, enabling accelerated data delivery for data-intensive AI workloads such as vector search and graph processing.
  • VAST Data CERES Platform 
    High-throughput NVMe storage supporting AI data pipelines, retrieval-augmented generation, and real-time analytics environments. Utilizing VAST’s Disaggregated Shared Everything (DASE) architecture.

In addition to the 2U 24-bay NVMe Storage System populated with Solidigm enterprise SSDs on display at AIC’s booth, an AIC F2032 platform will be featured in Micron Technology’s booth (#1407) as part of their SSD showcase. These collaborations reflect AIC’s continued work with leading flash vendors to deliver scalable NVMe platforms for next-generation AI infrastructure.

“Designed for the AI era, Solidigm’s eSSDs are uniquely positioned to power the next wave of AI infrastructure by delivering the performance, density, and efficiency required for emerging inference-centric architectures. The AIC F2026 platform with Solidigm eSSDs acts as a foundational context memory tier that helps operators extend GPU cache beyond traditional limits, accelerate throughput, and unlock scalable, long-context AI inference without compromising power or footprint,” said Greg Matson, SVP, Head of Products and Marketing, Solidigm.

“AI infrastructure is evolving rapidly, and storage architecture must evolve with it,” said Michael Liang, President and CEO of AIC. “Working closely with NVIDIA and our ecosystem partners, AIC is developing NVMe platforms aligned with CMX architectures and DPU-accelerated data paths to support emerging workloads such as KV cache expansion and GPU-driven AI pipelines. As AI systems scale toward multi-agent and large-context workloads, scalable and disaggregated storage becomes a critical part of the architecture. Our focus is ensuring the storage systems needed for the next generation of AI are being built today.”

Event Details:

NVIDIA GTC
March 16-19, 2026
AIC Booth #140

Attendees are invited to visit AIC’s booth to explore the showcased platforms and speak with AIC representatives about building scalable NVMe infrastructure for modern AI inference environments.

About AIC

AIC is a global leader in the design and manufacturing of enterprise storage and server solutions. With a focus on innovation, flexibility, and time-to-market, AIC delivers high-performance platforms for AI, cloud, HPC, and data center applications. By combining advanced system design, global manufacturing, and close collaboration with ecosystem partners, AIC enables customers to deploy scalable, efficient infrastructure for data-intensive workloads worldwide.

Hesai Joins NVIDIA Halos AI Systems Inspection Lab to Advance Safety in Autonomous Vehicles and Robotics

PALO ALTO, Calif., March 17, 2026 /PRNewswire/ — Hesai Technology (NASDAQ: HSAI; HKEX: 2525), a global leader in automotive lidar solutions, today announced it has joined the NVIDIA Halos AI Systems Inspection Lab, the first ANSI National Accreditation Board (ANAB) accredited inspection lab for AI-driven physical systems. As a member, Hesai will evaluate and validate its lidar platforms within this unified framework for functional safety, cybersecurity, and AI compliance.

NVIDIA Halos is a comprehensive full‑stack safety system for physical AI that unifies safety elements across vehicle and robotics architectures and their underlying AI models. It combines hardware and software components, tools, models, and design principles to safeguard AI‑based, end‑to‑end AV and robotics stacks.

“Autonomous systems will only achieve broad adoption if they meet the highest standards of safety and reliability,” said David Li, Co‑Founder and CEO of Hesai Technology. “As autonomous vehicles and intelligent machines move toward large‑scale deployment, safety becomes the defining requirement for the entire system.”

Li continued: “Our work with NVIDIA began several years ago with the integration of Hesai lidar on NVIDIA autonomous computing platforms. Lidar is often the primary sensor responsible for detecting hazards in the most critical situations on the road. Joining the NVIDIA Halos ecosystem allows us to further strengthen the safety architecture required to bring trusted autonomous technology into everyday use.”

Hesai has cumulatively delivered more than 2 million lidar units globally, empowering advanced driver assistance systems, autonomous vehicles, and robotics applications across a growing number of commercial platforms. With the largest number of lidar units deployed in the industry, Hesai is helping define the safety architecture for next-generation autonomous systems and supporting some of the world’s most advanced autonomous vehicle development programs.

Lidar is a foundational sensing technology in the safety architecture of autonomous systems. By delivering precise 3D perception of the surrounding environment, lidar enables autonomous systems to detect objects, understand road conditions, and respond to potential hazards in real time.

From its founding, Hesai has developed lidar systems with the understanding that these sensors operate in safety-critical situations where reliability and accuracy directly impact human safety. Safety has therefore been embedded in the company’s engineering philosophy from the very beginning.

Hesai introduced the world’s first lidar to obtain ISO 26262 ASIL B Functional Safety Product Certification, accredited by Germany’s SGS TÜV. Today the company holds the largest portfolio of ISO 26262 certified lidar products globally. Hesai also contributes to the development of global lidar safety standards through ISO TC22 SC32 AHG1, alongside industry leaders including Bosch, Denso, Sony, Nissan, and ZF.

At the core of Hesai’s engineering approach is the company’s “Safety Triad”, which integrates functional safety, Safety of the Intended Functionality (SOTIF), and cybersecurity across all lidar system designs to ensure safe deployment in complex real-world environments.

Hesai’s work with NVIDIA dates back to 2019, when Hesai lidar technology was first integrated with NVIDIA autonomous computing platforms to deliver high‑precision ground truth data for use in advanced driver assistance and autonomous driving systems.

In addition, Hesai was recently selected by NVIDIA as a lidar partner for NVIDIA DRIVE AGX Hyperion 10, a reference compute and sensor architecture that makes any vehicle level 4-ready, enabling automakers and developers to build safe, scalable, AI-defined fleets.

As autonomous technologies move from development programs to real-world deployment, collaboration across the industry will be essential to establish trusted safety frameworks. Through its work with NVIDIA and continued engagement in global safety standards, Hesai aims to help define the sensing technologies that will support the next generation of autonomous mobility.

SK hynix to Showcase AI Memory Leadership at NVIDIA GTC 2026

  • SK hynix to participate in ‘GTC 2026’ in San Jose, March 16-19
  • Exhibition themed ‘Spotlight on AI Memory’ to unveil full lineup of AI memory solutions
  • Key executives, including SK Chairman Chey Tae-won and SK hynix CEO Kwak Noh-jung, to attend and expand global AI collaborations

SEOUL, South Korea, March 17, 2026 /PRNewswire/ — SK hynix Inc. (or “the company”, www.skhynix.com) announced today that it is participating in GTC 2026, held from March 16 to 19 in San Jose, California. 

NVIDIA GTC is the global AI conference where business leaders and developers gather to share the latest breakthroughs and future trends in AI and accelerated computing.

SK hynix memory solutions are designed to minimize data bottlenecks and maximize performance for both AI training and inference in NVIDIA AI infrastructure. Through its participation in GTC 2026, the company plans to demonstrate its competitive edge in memory technology — the core infrastructure of the AI era.

Under the theme ‘Spotlight on AI Memory,’ SK hynix will feature an exhibition space dedicated to the AI memory technologies and solutions. The booth will consist of three main areas: the NVIDIA Collaboration Zone, the Product Portfolio Zone, and the Event Zone. The exhibition is designed around interactive content to provide visitors with an intuitive understanding of AI memory technology.

The NVIDIA Collaboration Zone, located at the entrance, is the centerpiece of the exhibition, highlighting the synergy between SK hynix and NVIDIA. The company will display the memory configuration mounted on GPU-based AI accelerators through physical models and actual hardware, focusing on the actual application of SK hynix’s memory products such as HBM4, HBM3E, and SOCAMM2 designed for NVIDIA AI platforms.

Notably, the company will showcase a liquid-cooled eSSD developed in collaboration with NVIDIA, along with an NVIDIA DGX Spark, desktop AI supercomputer equipped with SK hynix’s LPDDR5X.

In the Product Portfolio Zone, visitors can view a comprehensive lineup of memory products engineered for the AI era. This includes the infrastructure-essential HBM4 and HBM3E, as well as high-capacity server DRAM modules, LPDDR6, GDDR7, eSSD, and Automotive Solutions.

An interactive environment allows visitors to use joysticks to select products and view specific features and use cases on-screen, enabling them to explore and understand the technology at their own pace.

The Event Zone offers a hands-on experience with an ‘HBM 16-High Stacking Game.’ By virtually stacking memory chips, participants can gain insight into the TSV (Through Silicon Via) process and high-stack packaging technology, fostering a deeper understanding of how high-performance AI semiconductors are manufactured.

Throughout GTC 2026, SK hynix plans to explore future collaboration strategies aligned with current global AI trends. Key executives, including SK Chairman Chey Tae-won and SK hynix CEO Kwak Noh-jung, will meet with global tech giants to share insights on AI evolution and infrastructure shifts while discussing long-term strategic partnerships.

The company will also host technical sessions to discuss the future of AI-driven manufacturing and the pivotal role of memory technology in achieving high-performance AI.

SK hynix highlighted that as AI technology evolves, memory is transcending its role as a mere component to become a core element that determines the architecture and performance of the entire AI infrastructure. By applying its memory expertise across the entire AI spectrum — from data centers to on-device applications — the company aims to shape the future of AI alongside its global partners.

About SK hynix Inc.

SK hynix Inc., headquartered in Korea, is the world’s top-tier semiconductor supplier offering Dynamic Random Access Memory chips (“DRAM”) and flash memory chips (“NAND flash”) for a wide range of distinguished customers globally. The Company’s shares are traded on the Korea Exchange, and the Global Depository shares are listed on the Luxembourg Stock Exchange. Further information about SK hynix is available at www.skhynix.com, news.skhynix.com.

Supermicro Reveals DCBBS® with New NVIDIA Vera Rubin NVL72, HGX Rubin NVL8, and Vera CPU Systems, Designed to Accelerate Customer Time-to-Market

  • Supermicro’s NVIDIA Vera Rubin NVL72 and HGX Rubin NVL8 systems are built on the DCBBS liquid-cooling stack, targeting up to 10x throughput per watt and one-tenth the token cost, compared to NVIDIA Blackwell solutions.
  • Supermicro’s 2U HGX Rubin NVL8 system is the most flexible platform supporting NVIDIA Vera and next-generation x86 CPUs, scaling to 72 Rubin GPUs per rack, as well as a DCBBS Liquid-to-Air (L2A) Sidecar CDU option for data centers without liquid-cooling.
  • Supermicro’s new NVIDIA Vera CPU systems include a 2U server supporting up to 6 RTX PRO 4500 Blackwell Server Edition GPUs and a new AI storage system for context memory extension integrated with NVIDIA BlueField-4 DPU.

SAN JOSE, Calif., March 17, 2026 /PRNewswire/ — Super Micro Computer, Inc. (NASDAQ: SMCI), a Total IT Solution Provider for Cloud Computing, AI/ML, Storage, and 5G/Edge, today unveiled its upcoming system portfolio powered by the NVIDIA Vera Rubin platform. As data centers transform into AI factories, producing intelligence at massive scale, agentic reasoning, long-context AI, and Mixture-of-Experts (MoE) workloads are driving demand for an entirely new class of compute and storage infrastructure. Supermicro’s NVIDIA Vera Rubin NVL72, NVIDIA HGX Rubin NVL8, NVIDIA Vera CPU systems are being designed and built with Supermicro’s Data Center Building Block Solutions (DCBBS) advanced liquid-cooling technology stack to accelerate time-to-market for customers.

Supermicro Reveals DCBBS® with New NVIDIA Vera Rubin NVL72, HGX Rubin NVL8, and Vera CPU Systems, Designed to Accelerate Customer Time-to-Market
Supermicro Reveals DCBBS® with New NVIDIA Vera Rubin NVL72, HGX Rubin NVL8, and Vera CPU Systems, Designed to Accelerate Customer Time-to-Market

“We are entering a new era where every organization requires an AI factory to win in the marketplace, as the demand for inference workloads is reshaping what data center infrastructure must deliver,” said Charles Liang, president and CEO of Supermicro. “Supermicro’s DCBBS technology stack is being engineered to empower upcoming NVIDIA Vera Rubin NVL72, HGX Rubin NVL8, and Vera CPU systems to give our customers a fast, clear path to deploying next-generation AI factories, at scale. We are excited to provide an early look at these solutions as a testament to being first to market with the infrastructure that will power the next frontier of AI.”

For more information visit NVIDIA Vera Rubin | Supermicro.

Supermicro DCBBS for NVIDIA Vera Rubin and Rubin Platforms

Delivering AI factory performance at scale requires much more than just compute — It demands power, cooling, and networking infrastructure that performs seamlessly. Supermicro’s modular DCBBS approach enables data center operators to deploy validated, pre-engineered rack solutions rather than custom-building infrastructure for each project — reducing time-to-online, minimizing integration risk, and lowering total cost of ownership across AI factory deployments of any scale.

Supermicro’s DCBBS are engineered specifically to meet the evolving thermal, power, and networking demands needed to enable rapid and robust deployment of upcoming NVIDIA Vera Rubin NVL72, NVIDIA HGX Rubin, and NVIDIA Vera CPU infrastructure. To meet the needs of Vera Rubin platforms, which will be fully liquid-cooled from this generation forward, DCBBS includes a full suite of validated liquid-cooling infrastructure. This expansion includes in-rack and in-row components such as coolant distribution units (CDUs), manifolds, and liquid-to-air sidecar. Also included are infrastructure solutions such as cooling towers and cabling design and implementation services — designed to integrate seamlessly with Supermicro’s next-generation system portfolio.

Supermicro NVIDIA Vera Rubin NVL72 SuperCluster

Supermicro is engineering its NVIDIA Vera Rubin NVL72 with new DCBBS liquid-cooling components to fully support the power and thermal envelope at rack and cluster scale. This includes the manufacturing of optimized NVIDIA MGX racks, in-rack or in-row CDU, RDHx and L2A sidecar to streamline production and deployment of the rack-scale AI supercomputer at scale. The Vera Rubin NVL72 operates as a single rack-scale accelerator, unifying six co-designed chips — Rubin GPU, Vera CPU, NVIDIA NVLink 6, NVIDIA ConnectX-9 SuperNIC, NVIDIA BlueField-4 DPU, and NVIDIA Spectrum-X Ethernet — to deliver up to 3.6 Exaflops of inference, 75TB of fast memory, and 1.6 PB/s of HBM4 bandwidth, targeting up to 10x the throughput per watt and one-tenth the token cost compared to NVIDIA Blackwell.

NVIDIA HGX Rubin NVL8 System

The 2U HGX Rubin NVL8 system provides the densest and most flexible HGX platform — and the first HGX platform to offer greater flexibility in CPU selections including NVIDIA Vera CPUs alongside next-generation AMD and Intel x86 processors. Built on the NVIDIA MGX rack architecture with Supermicro’s blind mate busbar and manifold for tool-free rack integration, it gives customers the freedom to pair eight Rubin GPUs with the CPU platform that best fits their workload and software stack.

The design supports 9 HGX Rubin NVL8 systems per rack — up to 72 Rubin GPUs total — for large-scale AI training, inference, and accelerated HPC. DCBBS provides in-rack CDU, in-row CDU, RDHx and an optional Liquid-to-air (L2A) sidecar for customers deploying in liquid-cooled or air-cooled data center environments.

NVIDIA Vera CPU System with RTX PRO

Supermicro’s Vera CPU next-generation agentic AI system is being engineered as a versatile AI compute node for organizations targeting next-generation agentic AI deployments. The system features dual NVIDIA Vera CPUs supporting up to 6 RTX PRO 4500 Blackwell Server Edition GPUs in a compact 2U chassis — delivering the compute density and energy efficiency that enterprise AI inference, agentic workloads, visualization, and adding accelerated computing to all enterprise workloads. It is a high-bandwidth LPDDR5X memory subsystem and PCIe GPU acceleration in a space-efficient footprint.

NVIDIA BlueField-4 STX Context Memory Storage Platform

Supermicro’s upcoming Context Memory Storage Platform (CMX) introduces a new class of AI-native storage for context memory — architected as an intelligent pod-level context memory storage tier that extends GPU KV cache capacity and serves long-context inference data at the throughput that Vera Rubin NVL72 super pod clusters demand. Powered by NVIDIA BlueField-4 processor, NVIDIA Vera CPUs, NVIDIA ConnectX-9 SuperNICs, Spectrum-X Ethernet NVIDIA DOCA, and NVIDIA Dynamo, the system provides the high-bandwidth, low-latency fabric and intelligent data path offload that large-scale AI inference pipelines and RAG workloads require.

Supermicro NVIDIA Blackwell Solutions — Available Now

With next-generation systems in rapid development, Supermicro’s current portfolio of NVIDIA Blackwell-based systems is in full production and available for immediate deployment through Supermicro’s US and global manufacturing capacity, enabling customers to build and scale production AI infrastructure today. Supermicro is investing across both its current Blackwell lineup and its next-generation systems to ensure customers have the right platform at every stage of this transformation.

Visit Supermicro at GTC San Jose 2026

Supermicro will be unveiling early previews of its Vera Rubin platform systems alongside its current production Blackwell portfolio. Supermicro experts will be available to discuss current procurement options, roadmap planning, and deployment timelines for both near-term and next-generation AI infrastructure in Supermicro booth #1113.

About Super Micro Computer, Inc.

Supermicro (NASDAQ: SMCI) is a global leader in Application-Optimized Total IT Solutions. Founded and operating in San Jose, California, Supermicro is committed to delivering first-to-market innovation for Enterprise, Cloud, AI, and 5G Telco/Edge IT Infrastructure. We are a Total IT Solutions provider with server, AI, storage, IoT, switch systems, software, and support services. Supermicro’s motherboard, power, and chassis design expertise further enables our development and production, enabling next-generation innovation from cloud to edge for our global customers. Our products are designed and manufactured in-house (in the US, Asia, and the Netherlands), leveraging global operations for scale and efficiency and optimized to improve TCO and reduce environmental impact (Green Computing). The award-winning portfolio of Server Building Block Solutions® allows customers to optimize for their exact workload and application by selecting from a broad family of systems built from our flexible and reusable building blocks that support a comprehensive set of form factors, processors, memory, GPUs, storage, networking, power, and cooling solutions (air-conditioned, free air cooling or liquid cooling).

Supermicro, Server Building Block Solutions, and We Keep IT Green are trademarks and/or registered trademarks of Super Micro Computer, Inc.

All other brands, names, and trademarks are the property of their respective owners.

 

Supermicro Launches Seven AI Data Platform Solutions with NVIDIA and Leading Ecosystem Partners to Accelerate Enterprise AI Innovation

  • Supermicro’s advanced GPU and storage architectures form the backbone of seven next-generation AI Data Platform solutions.
  • Built with industry leaders including Cloudian, DDN, Everpure (formerly Pure Storage), IBM, Nutanix, VAST Data, and WEKA to deliver fully integrated, enterprise-ready AI infrastructure.
  • Purpose-built AI Data Platforms unlock the full value of enterprise data — accelerating insight, automation, and intelligent transformation at scale.

SAN JOSE, Calif., March 17, 2026 /PRNewswire/ — Supermicro, Inc. (NASDAQ: SMCI), a Total IT Solution Provider for AI, Cloud, Storage, and 5G/Edge, today announced seven fully integrated AI Data Platform solutions designed to accelerate enterprise AI adoption. Built on NVIDIA reference architectures and powered by Supermicro’s high-performance GPU and storage systems, the platforms leverage NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs and the new NVIDIA RTX PRO™ 4500 Blackwell Server Edition GPUs, NVIDIA Spectrum-X Ethernet networking, and enterprise AI software including NVIDIA NIM microservices and NVIDIA NeMo, to enable advanced AI agents.

Supermicro AI Data Platform Solutions
Supermicro AI Data Platform Solutions

“Supermicro is bringing together the industry’s most advanced GPU, storage, and networking technologies to deliver fully integrated AI Data Platforms to the enterprise and cloud,” said Charles Liang, president and CEO of Supermicro. “By combining our Data Center Building Block Solutions®, rack-scale integration expertise, and advanced cooling innovations with leading ecosystem partners, we are making AI deployment faster, more efficient, and truly turnkey to accelerate enterprise AI adoption worldwide.”

For more information about the new Supermicro AI Data Platform solution please visit:  www.supermicro.com/aifactory

Developed in collaboration with leading data platform innovators Cloudian, DDN, Everpure, IBM, Nutanix, VAST Data, and WEKA, these purpose-built solutions unify compute, networking, storage, and AI software into turnkey platforms that help enterprises rapidly transform data into intelligent action at scale.

“Meeting the inference demands of advanced AI workloads require full-stack infrastructure that unifies compute, networking and storage,” said Jason Hardy, vice president, Storage Technologies, NVIDIA. “By building upon the NVIDIA AI Data Platform reference architectures, Supermicro and its partners are delivering turnkey AI Data Platforms that put enterprise data to work for AI.”

Cloudian

“Every AI initiative lives or dies on its data infrastructure,” said Amit Rawlani, Senior Director of Alliances at Cloudian. “With Cloudian HyperScale® AIDP, we’re bringing GPU-based compute directly to enterprise data. Leveraging best-of-breed compute, networking, and storage nodes from partners like Supermicro, the platform delivers a tightly integrated solution that enables organizations to manage massive datasets and run AI workloads at scale, from training to real-time inference.”

DDN

“AI factories require purpose-built compute and data platforms architected for measurable business outcomes,” said Sven Oehme, CTO at DDN. “Building on our long-standing collaboration, Supermicro, NVIDIA, and DDN are launching Driving AI Breakthroughs—a joint mobile AI Factory debuting at GTC and traveling nationwide. Featuring production-ready AI pipelines running on turnkey HyperPOD and AI factory systems, it gives enterprises a proven path from pilots to scalable, ROI-driven AI.”

Everpure

“Enterprise AI depends on data that is ready for AI consumption,” said Kaycee Lai, Vice President, AI, Everpure. “By collaborating with Supermicro, we bring Everpure’s enterprise data platform and our Data Stream software together with GPU-optimized infrastructure to deliver an integrated AI Data Platform that keeps GPUs fed, reduces operational complexity, and helps enterprises move from pilot to production faster.”

IBM

“Enterprise AI is only as powerful as the infrastructure behind it, and IBM Storage Scale on Supermicro Petascale Storage Servers deliver high-throughput, low-latency parallel data access that supports enterprises deploying NVIDIA AI Data Platform at scale,” said Sam Werner, GM Storage, IBM. “IBM Storage Scale automatically extracts semantic meaning from unstructured enterprise data, detecting changes in real time, and keeps data within NVIDIA AI Data Platform updated without costly data duplication. Together with Supermicro, we are giving enterprises a fully integrated platform that turns existing data estates into a secured, AI-ready intelligence layer — to reduce hallucinations, accelerate time to insight, and make inference at enterprise scale production-ready.”

Nutanix

“The Nutanix Agentic AI solution includes the integration of the Nutanix AHV hypervisor, the open Nutanix Kubernetes Platform, Nutanix Unified Storage, and new technologies that will include the Nutanix AI Gateway,” said Thomas Cornely, Executive Vice President, Product Management, Nutanix. “This solution, following a deployment model similar to the Nutanix NX platform, runs on a variety of specialized servers designed and built by Supermicro, along with the integration of supported NVIDIA’s software libraries, allowing enterprises to deploy and secure sovereign Agentic AI initiatives.”

VAST Data

“Our collaboration with Supermicro continues to push the boundaries of production AI infrastructure,” said John Mao, Vice President, Global Technology Alliances, at VAST Data. “The CNode-X AI Data Platform, powered by the VAST AI Operating System, builds on the success of large-scale EBox deployments to deliver the performance, resilience, and operational simplicity enterprises require to power next-generation AI applications and accelerate real-world outcomes.”

WEKA

“Enterprises are under pressure to deploy AI fast, and that means infrastructure can’t be an obstacle,” said Ajay Singh, Chief Product Officer at WEKA. “By combining NeuralMesh™ by WEKA with Supermicro’s advanced GPU and rack-scale systems, we’re giving organizations a foundation that doesn’t just support AI workloads today but grows stronger as those workloads scale. That’s how enterprises can move from data to intelligent action without the friction of piecing together infrastructure themselves.”

These solutions will be shown in the Supermicro booth #1113 at the NVIDIA GPU Technology Conference (GTC) March 16-19.

About Super Micro Computer, Inc.
Supermicro (NASDAQ: SMCI) is a global leader in Application-Optimized Total IT Solutions. Founded and operating in San Jose, California, Supermicro is committed to delivering first-to-market innovation for Enterprise, Cloud, AI, and 5G Telco/Edge IT Infrastructure. We are a Total IT Solutions provider with server, AI, storage, IoT, switch systems, software, and support services. Supermicro’s motherboard, power, and chassis design expertise further enables our development and production, enabling next-generation innovation from cloud to edge for our global customers. Our products are designed and manufactured in-house (in the US, Asia, and the Netherlands), leveraging global operations for scale and efficiency and optimized to improve TCO and reduce environmental impact (Green Computing). The award-winning portfolio of Server Building Block Solutions® allows customers to optimize for their exact workload and application by selecting from a broad family of systems built from our flexible and reusable building blocks that support a comprehensive set of form factors, processors, memory, GPUs, storage, networking, power, and cooling solutions (air-conditioned, free air cooling or liquid cooling).

Supermicro, Server Building Block Solutions, and We Keep IT Green are trademarks and/or registered trademarks of Super Micro Computer, Inc.

All other brands, names, and trademarks are the property of their respective owners.