Largest Fund Raised to Date by Starlight, Enabling the Acquisition of over 10,000 Rental Suites

TORONTO, March 17, 2026 /PRNewswire/ — Starlight Investments (“Starlight”), a leading global real estate investment and asset management firm, today announced the successful closing of Starlight Canadian Residential Growth Fund IV (“Growth Fund IV”), the fourth fund in the firm’s flagship Growth Fund series focused on Canadian multi-family real estate.

Starlight Investments

Growth Fund IV received significant equity commitments from a diverse and global investor base, enabling the acquisition of more than 10,000 rental suites across Canada’s major markets. The Fund attracted strong participation from institutional investors across Canada, Asia-Pacific and Europe, the Middle East and Africa (EMEA), including substantial recommitments from existing limited partners, alongside several new global investors in this commingled vehicle.

“The close of Growth Fund IV reflects continued confidence in Starlight’s global experience, proven track record and performance in Canadian multi‑family, as well as the long‑term fundamentals supporting rental housing across the country,” said Raj Mehta, President, Global Markets, Starlight Investments. “We appreciate the trust shown by both long‑standing and new investors, and remain focused on delivering stable, long‑term value through disciplined investment and active asset management.”

Starlight’s Growth Fund platform is centred on the acquisition, management and stewardship of high‑quality, well-located rental properties in major Canadian cities. Backed by operational excellence, the platform delivers professionally managed rental communities that create lasting value for investors while enhancing the resident experience.

For more than three decades, Starlight has been a leading global real estate investment and asset management firm, delivering proven performance and responsible management across its real estate strategies. The company continues to broaden its global footprint, managing and investing on behalf of institutional partners across several continents.

About Starlight Investments

Starlight Investments is a leading global real estate investment and asset management firm headquartered in Toronto, Ontario, Canada. A privately held owner, developer and asset manager of over 70,000 multi-residential suites and over 7 million square feet of commercial property space with CAD $30 billion in AUM, Starlight offers a range of investment vehicles across various real estate strategies. Starlight’s guiding mission is to balance its tenure with visionary curiosity to create positive impact for investors and communities alike. At Starlight, we invest with impact.

Learn more at www.starlightinvest.com or connect with us on LinkedIn.

Contacts: Raj Mehta, President, Global Markets, +1-647-725-0498, rmehta@starlightinvest.com; Talia Schwebel, Vice President, Marketing and Communications, media@starlightinvest.com

New platform unifies collections, currency conversion, funding and settlement, enabling same-day global payments

SYDNEY, March 17, 2026 /PRNewswire/ — Today, Monoova announced the launch of its FX Hub, a new capability bringing domestic collections, foreign exchange conversion, funding, and settlement into a single automated flow.

Global payments are often slowed by fragmented banking relationships, multiple intermediaries, and disconnected processes for collections, FX conversion, funding and settlement. The result is increased FX risk, operational complexity, and liquidity pressure for businesses operating across borders. Traditional FX settlement can also take several days and often requires pre-funded accounts or overdraft facilities.

The FX Hub changes this by unifying these processes and automating the full payment lifecycle via Monoova’s API platform. By combining best-in-class domestic collection capabilities with automated FX conversion, funding, and settlement, businesses can streamline global payment operations. In addition, same-day settlements help businesses improve working capital efficiency and reduce reliance on pre-funding.

“Historically, global payments have treated FX, collections and settlement as separate problems,” said Ben Hiscox, Head of FX & Treasury at Monoova. “The FX Hub brings these together into a single automated flow, allowing businesses to collect funds locally, convert currencies and settle globally without the operational complexity that usually sits between those steps.”

The FX Hub also connects to a diversified global liquidity network of Tier 1 Banks and payment providers, helping reduce counterparty risk while maintaining competitive FX pricing.

The launch reflects Monoova’s continued focus on simplifying payment infrastructure and enabling businesses to collect, convert and move money globally through a single integrated platform.

About Monoova

Monoova (www.monoova.com) is a leading Payment Service Provider (PSP) transforming the way businesses move money in and out of Australia. Its API-driven platform integrates NPP, PayTo, PayID, Direct Debit, BPAY, and cross-border transfers into one seamless solution. By enabling businesses to automate and streamline transactions, enhance security, and transition effortlessly from legacy systems to real-time payments, Monoova empowers clients to scale with confidence and meet the demands of a modern payment landscape. Through its clients, Monoova facilitates transactions with more than 10% of all Australians. Monoova’s FSG/PDS is available at www.monoova.com/legal   

For media inquiries, please contact: PressEnquiries@Monoova.com

DALLAS, March 17, 2026 /PRNewswire/ — Cango Inc. (NYSE: CANG), a leading Bitcoin miner leveraging its global operations to develop an integrated energy and AI compute platform, announced its unaudited financial results for the fourth quarter and full year ended December 31, 2025.

Financial and Operational Highlights

• Total revenues were $688.1 million for the full year, including US$179.5 million in Q4. Revenue from the bitcoin mining business was US$675.5 million for the year, including US$172.4 million in Q4. Adjusted EBITDA for the year was US$24.5 million, while Q4 recorded an adjusted EBITDA loss of US$156.3 million.
• A total of 6,594.6 Bitcoins were mined over the year, averaging 18.07 Bitcoins per day, of which 1,718.3 Bitcoins were mined in Q4 (averaging 18.68 Bitcoins per day). The average cost to mine, excluding machine depreciation, was $79,707 per Bitcoin for the year and $84,552 in Q4. All-in costs were $97,272 per Bitcoin for the year and $106,251 in Q4. Since entering the industry, the Company had mined 7,528.4 Bitcoins as of December 2025.
• The Company completed the termination of its ADR program and transitioned to a direct listing on the NYSE to enhance transparency, and align with its strategic focus, potentially broadening its investor base.

Paul Yu, CEO, said, “2025 marked our inaugural year as a Bitcoin miner, defined by swift execution. We initiated a comprehensive asset restructuring and established a globally distributed mining footprint. Entering 2026, we proactively strengthened our balance sheet and optimized our mining fleet to enhance efficiency and cost resilience. Concurrently, we are advancing our pivot to become an AI infrastructure provider. Through EcoHash, we are leveraging our expertise in scalable computing and energy networks to deliver flexible, cost-effective AI inference solutions. With initial site retrofits underway and product ready for deployment, we are positioned to execute with focus and strategic discipline in the new era.”

Michael Zhang, CFO, stated, “In 2025, Cango delivered significant revenue growth from our scaled Bitcoin mining operations. The net loss from continuing operations of US$452.8 million was primarily due to non-recurring transformation costs and market-driven fair-value adjustments. Our financial strategy focused on strengthening the balance sheet to reduce leverage via an adjusted Bitcoin treasury policy and liquidity management, while securing new equity infusion to provide the flexibility needed to navigate volatility and invest in high-potential areas like AI infrastructure.”

Article link: https://www.prnewswire.com/news-releases/cango-inc-reports-fourth-quarter-and-full-year-2025-unaudited-financial-results-302714552.html

Email: ir@cangoonline.com

DALLAS, March 17, 2026 /PRNewswire/ — Cango Inc. (NYSE: CANG), a leading Bitcoin miner leveraging its global operations to develop an integrated energy and AI compute platform, announced its unaudited financial results for the fourth quarter and full year ended December 31, 2025.

Financial and Operational Highlights

• Total revenues were $688.1 million for the full year, including US$179.5 million in Q4. Revenue from the bitcoin mining business was US$675.5 million for the year, including US$172.4 million in Q4. Adjusted EBITDA for the year was US$24.5 million, while Q4 recorded an adjusted EBITDA loss of US$156.3 million.
• A total of 6,594.6 Bitcoins were mined over the year, averaging 18.07 Bitcoins per day, of which 1,718.3 Bitcoins were mined in Q4 (averaging 18.68 Bitcoins per day). The average cost to mine, excluding machine depreciation, was $79,707 per Bitcoin for the year and $84,552 in Q4. All-in costs were $97,272 per Bitcoin for the year and $106,251 in Q4. Since entering the industry, the Company had mined 7,528.4 Bitcoins as of December 2025.
• The Company completed the termination of its ADR program and transitioned to a direct listing on the NYSE to enhance transparency, and align with its strategic focus, potentially broadening its investor base.

Paul Yu, CEO, said, “2025 marked our inaugural year as a Bitcoin miner, defined by swift execution. We initiated a comprehensive asset restructuring and established a globally distributed mining footprint. Entering 2026, we proactively strengthened our balance sheet and optimized our mining fleet to enhance efficiency and cost resilience. Concurrently, we are advancing our pivot to become an AI infrastructure provider. Through EcoHash, we are leveraging our expertise in scalable computing and energy networks to deliver flexible, cost-effective AI inference solutions. With initial site retrofits underway and product ready for deployment, we are positioned to execute with focus and strategic discipline in the new era.”

Michael Zhang, CFO, stated, “In 2025, Cango delivered significant revenue growth from our scaled Bitcoin mining operations. The net loss from continuing operations of US$452.8 million was primarily due to non-recurring transformation costs and market-driven fair-value adjustments. Our financial strategy focused on strengthening the balance sheet to reduce leverage via an adjusted Bitcoin treasury policy and liquidity management, while securing new equity infusion to provide the flexibility needed to navigate volatility and invest in high-potential areas like AI infrastructure.”

Article link: https://www.prnewswire.com/news-releases/cango-inc-reports-fourth-quarter-and-full-year-2025-unaudited-financial-results-302714552.html

Email: ir@cangoonline.com

NeuralMesh and Augmented Memory Grid Integration with NVIDIA STX Increases Token Production by 6.5x in the Same GPU Footprint, Slashing Cost of Inference for AI-Driven Organizations

SAN JOSE, Calif. and CAMPBELL, Calif., March 17, 2026 /PRNewswire/ — From GTC 2026: WEKA, the AI storage and memory systems company, today announced the integration of its NeuralMesh™ software with the NVIDIA STX reference architecture. WEKA’s breakthrough Augmented Memory Grid™ memory extension technology running on NeuralMesh will support NVIDIA STX to bring high-throughput context memory storage to agentic AI factories, making long-context reasoning seamless across sessions, tools, and tasks. Leveraging NVIDIA Vera Rubin NVL72, NVIDIA BlueField-4, and NVIDIA Spectrum-X Ethernet, the NeuralMesh solution based on NVIDIA STX will deliver an estimated increase of 4-10x more tokens per second for context memory while supporting at least 320 GB read and 150 GB write throughput per second for AI workloads, more than double the throughput of conventional AI storage platforms.

WEKA and NVIDIA unlock cost-efficient AI inference at scale

Solving the Inference Cost Problem with Shared KV Cache Infrastructure
Scaling agentic systems, especially for software engineering applications, exposes a hard truth: today’s AI economics are decided at the memory infrastructure layer. Every large-scale inference fleet hits the memory wall: limited high-bandwidth memory (HBM) on the GPU is rapidly exhausted, key-value (KV) cache is evicted, context is lost, and the system is forced to repeat work it already completed. This architectural inefficiency sends inference costs soaring. The answer is a shared KV cache infrastructure that keeps context live across agents, users, and sessions. It eliminates redundant computation, sustains token throughput, and maintains predictable performance. Without shared KV cache infrastructure, every increase in concurrent users and agents becomes a liability — costs rise, experiences degrade, and the inference fleet becomes harder to operate the larger it grows. With STX for context memory, NVIDIA is introducing a blueprint to address these core inference bottlenecks.

Context Memory Storage: The Foundation of Agentic AI Factories
With co-designed WEKA solutions based on NVIDIA STX architecture, AI clouds, enterprises, and AI model builders can deploy the infrastructure foundation they need to run GPUs at peak productivity, sustain high-volume token production, and make large-scale inference more energy and cost-efficient.

Leading AI innovators and cloud providers, such as Firmus, are already transforming their inference economics with Augmented Memory Grid on NeuralMesh.

“Real-world AI doesn’t run in a lab— it has power constraints, cooling limits, and relentless workload demand. Firmus is built for exactly that. Paired with NVIDIA AI infrastructure, WEKA Augmented Memory Grid delivers up to 6.5x higher tokens per second and 4x faster TTFT at scale, proving we can get more performance from the same GPU footprint. With NeuralMesh and Augmented Memory Grid integrated into our NVIDIA-aligned AI Factory and NVIDIA STX reference architecture, we’ll be able to deliver the fastest context memory network for predictable and efficient inference at scale,” said Daniel Kearney, Chief Technology Officer at Firmus.

NeuralMesh and NVIDIA STX: Purpose-Built for Agentic AI
NeuralMesh is WEKA’s intelligent, adaptive storage system built on over 170 patents. It will run across the full-stack STX reference architecture, providing the next-generation storage organizations need to standardize high-performance AI data services and accelerate agentic AI outcomes. WEKA’s Augmented Memory Grid is a purpose-built memory extension layer that pools and persists KV cache outside of GPU memory, keeping long-context sessions stable and concurrency high as inference workloads grow. First unveiled at GTC 2025 and generally available to NeuralMesh customers today, Augmented Memory Grid has been validated with Supermicro on NVIDIA Grace CPUs and BlueField-3 DPUs to deliver numerous benefits that improve AI economics, including:

• Faster User Experiences: Augmented Memory Grid on NeuralMesh delivers up to 4-20x improvement in time-to-first-token, keeping AI agents and applications responsive under real-world load.
• More Revenue from the Same Hardware: Serve 6.5x more tokens per GPU — without adding infrastructure.
• Sustained Performance at Scale: Augmented Memory Grid maintains high KV cache hit rates even as sessions, agents, and context windows grow — preventing the performance cliff that hits DRAM-only architectures.
• GPU-Native Efficiency: BlueField-4 integration offloads the storage data path from the CPU, keeping GPUs fully productive and eliminating I/O bottlenecks.

“With coding LLMs advancing, we’re seeing unprecedented adoption of Agentic AI use cases for software engineering, where productivity increases by 100-1000x. As coding assistants make repeated calls against largely unchanged codebases and prompts, WEKA’s Augmented Memory Grid reuses cached context instead of forcing redundant prefill, even as context windows grow to incredible lengths. This provides a major boost in response times and greatly increases the number of concurrent users running on the same infrastructure,” said Liran Zvibel, co-founder and CEO at WEKA. “WEKA first identified this need for context memory storage more than a year ago and launched Augmented Memory Grid at GTC 2025. Now, NVIDIA STX opens the door to organizations running their storage and memory extension infrastructure on state-of-the-art NVIDIA Vera Rubin architecture, including NVIDIA BlueField-4 and NVIDIA Spectrum-X Ethernet. Running Augmented Memory Grid on NeuralMesh for NVIDIA STX delivers extreme performance and efficiency that translates directly to game-changing AI economics.”

Availability

WEKA’s Augmented Memory Grid is commercially available with NeuralMesh today.

Organizations that don’t address the memory wall today will find it harder and more expensive to scale tomorrow. As agentic workloads grow and context windows expand, DRAM-only architectures face a compounding cost problem: each additional concurrent user or session increases recomputation overhead, GPU idle time, and operational cost. The organizations that architect for persistent KV cache now will have a structural cost and performance advantage over those that wait.

For more information about NeuralMesh, visit: weka.io/NeuralMesh.
For more information about Augmented Memory Grid, visit: weka.io/augmented-memory-grid.

Organizations can learn more at weka.io/nvidia or visit WEKA at GTC 2026, booth #1034.

About WEKA
WEKA is transforming how organizations build, run, and scale AI workflows with NeuralMesh™ by WEKA®, its intelligent, adaptive mesh storage system. Unlike traditional data infrastructure, which becomes slower and more fragile as workloads expand, NeuralMesh becomes faster, stronger, and more efficient as it scales, dynamically adapting to AI environments to provide a flexible foundation for enterprise AI and agentic AI innovation. Trusted by 30% of the Fortune 50, NeuralMesh helps leading enterprises, AI cloud providers, and AI builders optimize GPUs, scale AI faster, and reduce innovation costs. Learn more at www.weka.io or connect with us on LinkedIn and X.

WEKA and the W logo are registered trademarks of WekaIO, Inc. Other trade names herein may be trademarks of their respective owners.

WEKA_v1_Logo_new

SEOUL, South Korea and KATOWICE, Poland, March 17, 2026 /PRNewswire/ — LX Pantos, a leading global logistics company (Global CEO: Lee Yong-ho), is accelerating its global expansion through strategic partnerships and infrastructure investments.

On March 16, LX Pantos announced that a consortium including the Korea Overseas Infrastructure & Urban Development Corporation (KIND) and the PIS No. 2 Fund, a policy fund under Korea’s Ministry of Land, Infrastructure and Transport, has acquired a newly built logistics complex in Katowice, southern Poland, in a transaction valued at approximately USD 148 million.

The Katowice Logistics Center consists of five buildings with a combined total floor area of 109,000㎡. The complex is being developed and brought into operation in phases, with full completion scheduled for the first half of 2026. Several global and local companies have already secured leases.

Through the Katowice Logistics Center, LX Pantos plans to establish an Eastern European logistics hub and expand services for key industries such as automotive parts, consumer goods, and home appliances. The facility is also expected to serve as a forward logistics base to support reconstruction-driven demand in Ukraine once rebuilding begins.

Beyond Europe, the company is actively expanding its global operations in key strategic markets, including the United States and Asia. In the United States, LX Pantos established Boxlinks LLC, a joint venture with Ocean Network Express (ONE), and acquired a large-scale logistics center in Georgia with a site area of 304,769 m², equivalent to approximately 43 soccer fields, to strengthen its intermodal operations. In Northeast Asia, the company formed FutureLinks with Sinotrans to expand China–Korea multimodal transport and tap the fast-growing Sea & Air market driven by China-origin e-commerce cargo.

“LX Pantos operates subsidiaries in 40 countries and more than 380 global networks, delivering integrated sea, air, rail, and contract logistics solutions,” said Lee Yong-ho, Global CEO of LX Pantos. “Against this backdrop, the Katowice Logistics Center represents a strategic milestone in strengthening our presence in the European logistics market.”

• About LX Pantos

Established in 1977, LX Pantos is a leading global logistics provider headquartered in Korea. It delivers comprehensive logistics solutions across sea, air, rail, and contract logistics through a worldwide network spanning more than 40 countries.

New NeuralMesh AI Data Platform Closes the Gap Between AI Proof-of-Concept and Profitable Production, Delivering Scalable Business Intelligence and Faster AI Outcomes with NVIDIA

SAN JOSE, Calif. and CAMPBELL, Calif., March 17, 2026 /PRNewswire/ — From GTC 2026: WEKA, the AI storage and memory systems company, today announced general availability of its enterprise-ready NeuralMesh™ AI Data Platform (AIDP), which delivers composable, high-performance infrastructure optimized for AI Factory deployments. Based on NVIDIA AI Data Platform reference design, the solution is an end-to-end system that accelerates the delivery of AI-ready data to AI factories. The result: AI project timelines speed up from months to minutes, empowering organizations to deliver production-scale agentic AI applications using best-in-class technologies across their ecosystem.

WEKA and NVIDIA accelerate enterprise-ready AI factories

Leveraging NeuralMesh’s uniquely adaptive architecture, the solution addresses the most persistent obstacle in enterprise AI: organizations can demonstrate AI concepts work in proof-of-concept (POC) but consistently struggle to reach production scale.

Built on more than 170 patents and over a decade of AI-native storage innovation, a foundation no competing storage platform can replicate, NeuralMesh is the only solution that gets faster and more resilient as AI environments scale to exabytes and beyond. As AI Factory data infrastructure becomes a critical layer in enterprise AI architecture, NeuralMesh is helping customers to close the gap between POC and production deployments today. Customers running NeuralMesh with Augmented Memory Grid™ can achieve 6.5x more tokens per GPU for inference workloads, reflecting the compounding advantage of a purpose-built architecture over retrofitted infrastructure.

“Enterprises are now deploying AI Factories internally, driving a major shift to inference throughout the ecosystem. These companies require rapid AI outcomes and need turnkey solutions that come with the enterprise table-stakes of reliability, security, and optimal price-performance and cost-effectiveness,” said Liran Zvibel, cofounder & CEO at WEKA. “WEKA’s NeuralMesh AIDP gives organizations everything they need to run always-on AI factories: extreme storage performance and the flexible architecture required to operationalize AI at production scale. Whether an organization is just beginning its AI journey or running full-stack NVIDIA deployments, NeuralMesh AIDP scales seamlessly as they grow.”

“The deployment of agentic AI in production demands a new focus on managing the continuous, coherent flow of data and inference context,” said Jason Hardy, vice president, storage technologies at NVIDIA. “By leveraging the NVIDIA AI Data Platform, solutions like WEKA’s NeuralMesh AIDP deliver the persistent context tier necessary for stable and high-scale agentic inference.”

One System, Every AI Workload: Delivering End-to-End AI Factories

AI factories provide enterprises with purpose-built production systems designed to operate AI at scale, but they demand storage capabilities that extend beyond where data sits to actively support context and continuous data movement. NeuralMesh, WEKA’s intelligent, adaptive storage system, delivers the continuous data-loop performance that AI factory workloads demand.

Out-of-the-Box AI Applications Designed to Accelerate Business Outcomes

NeuralMesh AIDP enables enterprises and AI cloud providers to unify AI operations from retrieval to inference on a single, ready-to-deploy platform. With pre-integrated hardware and software options from NVIDIA (including NVIDIA RTX 6000 PRO Server Edition GPUs and the newly announced NVIDIA RTX 4500 PRO Server Edition GPUs) alongside Red Hat, Spectro Cloud and Supermicro, organizations can eliminate months of AI integration work.

The platform provides a simplified solution that allows teams to focus on intelligence output rather than managing underlying infrastructure. It delivers ready-to-use pipelines for a spectrum of business use cases that work across verticals, including: Semantic Search, Video Search & Summarization (VSS), AlphaFold for drug discovery, AIQ/Agentic RAG and more.  

These AI applications are already being used by enterprise and research customers to drive outcomes across high-priority sectors:

• Health & Life Sciences: Identify patient subgroups across multiple studies and accelerate discovery in data-intensive workflows such as cryo-EM.
• Financial Services: Get early market signal detection as data lands and institutionalize knowledge access into a shared, secure resource.
• Public Sector: Detect potential threats based on context and meaning, not keywords, and automate evidence synthesis across sources to improve decision-making cycles.
• Physical AI & Robotics: Shorten the loop from real-world data capture to retrained model deployment, improving fleet performance, reliability, and time to market.

“The missing piece in production AI isn’t reasoning models or compute power. It’s having an efficient platform that unifies the AI Factory pipeline and makes it truly scalable,” said Shimon Ben-David, CTO at WEKA. “The NeuralMesh AIDP was designed to close AI’s production and profitability gap, taking enterprise experiments to full-scale operations and making AI economically viable for everything from next-generation agents to healthcare applications.”

Supporting Partner & Customer Quotes

“Getting AI to production requires more than technology— it requires consistency and control. By using the NeuralMesh AI Data Platform with Red Hat AI Enterprise, based on Red Hat OpenShift, organizations can run data-intensive AI pipelines across on-premises and cloud environments at the scale that enterprise production demands, without sacrificing governance or security,” said Ryan King, vice president, AI and Infrastructure Partners at Red Hat.

“The real challenge in AI is no longer training models. It is running them reliably in production, at scale, with predictable performance and cost. That’s where most AI initiatives stall. The NeuralMesh AI Data Platform integrates with our AI Acceleration Cloud, Neysa Velocis, to solve that problem directly. It gives teams a way to run AI workloads as dependable systems, without carrying the operational burden of stitching together complex infrastructure,” said Anindya Das, cofounder and CTO at Neysa.

Availability
The NeuralMesh AI Data Platform solution is available now, delivered as an appliance-style system. Organizations can learn more at weka.io/nvidia or visit WEKA at GTC 2026, booth #1034 for a demo.

For more information on the NeuralMesh AIDP:

• Blog: weka.io/blog/ai-ml/neuralmesh-aidp-built-to-operationalize-AI-at-enterprise-scale/
• Solution Webpage: weka.io/product/neuralmesh-aidp/

About WEKA

WEKA is transforming how organizations build, run, and scale AI workflows with NeuralMesh™ by WEKA®, its intelligent, adaptive mesh storage system. Unlike traditional data infrastructure, which becomes slower and more fragile as workloads expand, NeuralMesh becomes faster, stronger, and more efficient as it scales, dynamically adapting to AI environments to provide a flexible foundation for enterprise AI and agentic AI innovation. Trusted by 30% of the Fortune 50, NeuralMesh helps leading enterprises, AI cloud providers, and AI builders optimize GPUs, scale AI faster, and reduce innovation costs. Learn more at www.weka.io or connect with us on LinkedIn and X.

WEKA and the W logo are registered trademarks of WekaIO, Inc. Other trade names herein may be trademarks of their respective owners.

WEKA: The Foundation for Enterprise AI