VFF - The signal in the noise
NewsTrending

D-Matrix Adopts Nvidia Networking to Connect AI Chips

Read original
Share
D-Matrix Adopts Nvidia Networking to Connect AI Chips

D-Matrix, an AI chip startup, announced it will integrate Nvidia's NVLink Fusion networking hardware to connect its chips and link them to Nvidia's Vera CPUs used in data centers. The partnership deepens Nvidia's ecosystem integration with specialized AI hardware makers. This move signals growing standardization around Nvidia's interconnect technology for multi-chip AI deployments.

  • D-Matrix will use Nvidia's NVLink Fusion products, including switches, to connect its AI chips
  • Integration extends to Nvidia's Vera central processing units deployed in data centers
  • Partnership reflects broader trend of AI startups building on Nvidia's networking infrastructure
  • Demonstrates Nvidia's expanding role as platform provider beyond GPU manufacturing

As AI models grow larger and more complex, efficient chip-to-chip communication becomes critical infrastructure. Nvidia's dominance in GPUs is extending into the networking layer that connects specialized processors. This partnership shows how Nvidia is consolidating control over the full AI hardware stack, from compute to interconnect.

For enterprises deploying custom AI chips alongside Nvidia hardware, standardized interconnects reduce engineering complexity and time-to-market. For Nvidia, deepening partnerships with chip startups locks in ecosystem dependency and creates switching costs. For D-Matrix, access to proven networking infrastructure validates its chip design and accelerates customer adoption.

  • Nvidia's networking products are becoming table stakes for AI chip startups seeking data center viability
  • D-Matrix gains credibility and interoperability by integrating with Nvidia's Vera CPUs rather than competing directly
  • The partnership suggests D-Matrix chips are designed as accelerators or specialized processors, not GPU replacements

Monitor whether other AI chip startups announce similar NVLink Fusion integrations, which would signal Nvidia's networking becoming an industry standard. Track D-Matrix's customer announcements to see if enterprises adopt the combined solution. Watch for any competing interconnect standards emerging from non-Nvidia chip makers.

OneUpAI
OneUp Your Business. Get More Done. OneUp Your Business. Get More Done. OneUp Your Business. Get More Done.
Learn More
Share

Subscribe to the newsletter

The latest stories and analysis, delivered to your inbox.

Free. No spam. Unsubscribe any time.

Related stories

inDrive to test Pony.ai robotaxis in Kazakhstan in 2027
TrendingNews

inDrive to test Pony.ai robotaxis in Kazakhstan in 2027

inDrive, a ride-hailing competitor to Uber, plans to launch robotaxi testing with Pony.ai in Kazakhstan's capital during the first half of 2027. The partnership involves Nvidia technology and marks inDrive's entry into autonomous vehicle operations. The tests will evaluate robotaxi viability in a Central Asian market.

by Jagmeet Singh· TechCrunch AI
Kazakhstan Builds AI Compute Hub with 45,000 NVIDIA GPUs
TrendingNews

Kazakhstan Builds AI Compute Hub with 45,000 NVIDIA GPUs

NVIDIA CEO Jensen Huang visited Kazakhstan on October 23, meeting with President Kassym-Jomart Tokayev and Deputy Prime Minister Zhaslan Madiyev to discuss the country's AI infrastructure expansion. Firebird announced a major investment agreement securing 45,000 NVIDIA Grace Blackwell GPUs for a data center launching in Q3 2027, while Kazakhstan pursues Kazakh-language AI models and physical AI applications in mining, agriculture, and logistics. The visit signals Kazakhstan's shift from planning to deploying compute infrastructure as part of a broader strategy to export AI capabilities alongside its energy resources.

by Rev Lebaredian· NVIDIA Blog (AI)
European Retailers Cut AI Costs 90% With Open Models
TrendingNews

European Retailers Cut AI Costs 90% With Open Models

European retailers are deploying NVIDIA-accelerated open models and robotics to cut costs and improve operations. Shopify reduced inference costs by 90% through post-trained models, Zooplus achieved 86% search accuracy in product discovery, and L'Oréal accelerated ingredient research from months to hours using AI-based screening. The deployments span digital commerce, fulfillment automation, and R&D workflows.

by Mavi Nafria· NVIDIA Blog (AI)
Power Becomes the AI Bottleneck, NVIDIA Pushes Integrated Solutions
TrendingNews

Power Becomes the AI Bottleneck, NVIDIA Pushes Integrated Solutions

NVIDIA is promoting its DSX AI Factory Platform as a solution to power infrastructure bottlenecks, which currently affect over 200 gigawatts of U.S. projects in interconnection queues and create more than $300 billion in equipment backlog. The platform integrates grid, facility, and compute systems through simulation, flexible demand management, and optimization tools. Major energy and infrastructure companies including GE Vernova, Hitachi Energy, Schneider Electric, and Siemens Energy are adopting or developing complementary solutions to address the power constraint problem.

by Vladimir Troy· NVIDIA Blog (AI)