Introducing NVIDIA DSX POD, a reference design for ecosystem partners to build factory-integrated containers for deploying productive AI capacity faster and at scale. Powered by the NVIDIA Vera Rubin platform, it defines requirements across compute, networking, storage, power, liquid cooling, cabling, and mechanical design, providing a repeatable approach to accelerate AI factory deployment. Learn more: https://nvda.ws/4zafwxQ
NVIDIA AI Infrastructure
Computer Hardware Manufacturing
Santa Clara, California 338,087 followers
About us
The NVIDIA accelerated computing platform is optimized for energy efficiency while accelerating AI performance, helping enterprises deploy secure, future-ready AI data centers.
- Website
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https://www.nvidia.com/en-us/data-center/
External link for NVIDIA AI Infrastructure
- Industry
- Computer Hardware Manufacturing
- Company size
- 10,001+ employees
- Headquarters
- Santa Clara, California
Updates
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NVIDIA 💚 Nokia Together with Nokia and T-Mobile, we completed the world's first AI-RAN call on a live commercial network. With leading operators in Europe including BT Group, Elisa, Deutsche Telekom and Orange, we're turning networks into distributed intelligence platforms. 🔗 Read the press announcement: https://nvda.ws/4sjwlU4 📺 Rewatch the moment from Jensen's keynote at #NVIDIAGTC Berlin: https://nvda.ws/3W0iJRO
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Unlocking AI infrastructure starts with power. ⚡ Companies around the world are using the NVIDIA DSX AI Factory Platform to plan, simulate and run the grid and AI factory as one system, from substation to rack. See how energy and technology leaders are helping accelerate deployment, strengthen grid reliability and get more compute from every watt. ➡ https://nvda.ws/3UEOqje
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We’re launching NVIDIA Minerva to bring end-to-end observability to AI factories at scale. The NVIDIA Minerva AIOps platform connects infrastructure and workload telemetry across GPUs, networking, storage, and schedulers, using AI to surface root causes and reduce alert noise across factories with hundreds of thousands of GPUs. Read the news from #NVIDIAGTC Berlin: https://nvda.ws/4zSZWXj
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We built NVIDIA Sentry on BlueField-4 to secure AI agents from a layer they can’t reach or tamper with. Agents can drift from their designed intent, leak data, or escape their sandbox, making independent runtime protection essential. DOCA Tower inspects agent communications, and DOCA Argus monitors the agent’s execution environment from inside the silicon. Learn how we built an independent security layer for AI agents at runtime ➡️ https://nvda.ws/4if6Qir
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“CUDA-X libraries — these are the crown jewels of our company... Ultimately, what makes those agents useful, what makes them able to do real work are the tools.” Learn more about CUDA-X from Jensen Huang's keynote at #NVIDIAGTC Berlin: https://nvda.ws/4sm3YVx
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Today, Siemens, in collaboration with NVIDIA, introduced a new way to tackle 3D IC power and thermal challenges: agentic AI. The Fuse EDA AI Agent, integrated with Intelligence Center X, orchestrates coupled electrothermal analysis across nine workflow stages and seven Siemens EDA tools. Engineers define the design objective. The agent runs the analyses, identifies missed targets and diagnoses whether the root cause lies in power delivery, die placement, package materials or a combination of all three. It then guides design-space exploration, evaluates tradeoffs and reruns promising configurations against engineering targets. In benchmark studies, this approach: 📉 Reduced engineering effort by up to 95% ⏱️ Cut workflow setup time by up to 99% ✅ Enabled up to 50x greater design-exploration coverage compared with conventional manual flows Learn more: https://lnkd.in/g5xxenJK
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Europe is building its next wave of AI infrastructure, with NVIDIA Vera CPUs at the core. At #NVIDIAGTC Berlin, Nebius, Nscale, and Verda shared how they’re using Vera to power agents, data processing and scientific discovery, joined by a growing lineup of server makers, data platforms and developer platforms across the region. Learn more: https://nvda.ws/4jyeiYf
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Complex designs demand faster simulation. Announced at #NVIDIAGTC Berlin, NVIDIA cuDSS is now generally available, accelerating the sparse solves that often limit engineering and scientific simulation throughput. Part of NVIDIA CUDA-X, cuDSS helps teams explore larger, more realistic models and a wider design space, scaling from individual workstations to large computing clusters. https://nvda.ws/484AguL
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