AI factories for the era of AI reasoning.
Joined November 2009
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Join us at #HPEDiscover 2026 for a series of sessions on how we're collaborating with @HPE to power the secure agentic enterprise with full-stack AI factory solutions.
Sessions:
🔒 Secure AI in the Age of Agents: On-Prem Infrastructure Protects Your Data, Budget & Advantage
⚙️ NVIDIA Vera: Reimagining CPUs for Agents, Reasoning, and What's Next
⚡ Unleash Peak AI Performance: Powering Your HPE GenAI Infrastructure with NVIDIA Networking
🪙 Agentic AI Burns Tokens. Let's Fix That: How NVIDIA AI Computing by HPE Solves Agentic AI
🔗 Learn more: nvda.ws/4a1PyBX
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More than 500 researchers across all seven of @Stanford University’s schools now have access to a massive upgrade in computing power.
In partnership with NVIDIA and Mark III Systems, Stanford has deployed "Marlowe", a DGX SuperPOD equipped with 248 NVIDIA Hopper GPUs. The goal is simple: democratize large-scale research access.
Marlowe is already powering cross-disciplinary breakthroughs, from materials science and neuroscience to medical imaging and AI.
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Huge congratulations to the @SpaceX team on a historic IPO debut.
Fueling the next frontier of space and AI. 🌌
NVIDIA's partnership with SpaceX spans nearly a decade, from hand-delivering the world's first #NVIDIADGX-1 supercomputer in 2016 to the custom DGX Spark handoff at Starbase. Together, we've been pushing the boundaries of accelerated computing to help power the future of space exploration.
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📣 There's now a benchmark for agentic AI workloads.
AgentPerf, from @ArtificialAnlys, is the industry's first open hardware benchmark that measures how many concurrent AI agents an inference system can support while hitting real-world performance targets.
Here's what it measures — and what NVIDIA results show. 🧵
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The performance advantage comes from extreme co-design across the full stack:
✅ 72 GPUs connected via NVLink Switch — 130 TB/s of interconnect
✅ NVIDIA software for KV-aware routing disaggregated prefill/decode
✅ WideEP DeepGEMM fused MoE ops to maximize GPU utilization at scale
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Discover how NVIDIA Blackwell delivers the performance you need for your agentic workloads.
Full methodology and results ⤵️ nvda.ws/4g1nSRJ
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🎉 Congratulations to @lmsysorg for setting a new record on NVIDIA GB300 NVL72!
🚀New record on GB300 NVL72: SGLang exceeds 12K tok/s per GPU on DeepSeek V4 Pro 1.6T (FP4, 8K/1K), orchestrated with NVIDIA Dynamo (SGLang) and MTP.
Per @SemiAnalysis_ InferenceX benchmarks, performance stays strong across the entire interactivity curve.
More to come with @NVIDIAAIInfra 🤝
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Configuring InfiniBand security for a multi-tenant AI cluster used to take hours. Now it takes one click.
In our latest technical blog, we show how NVIDIA UFM delivers intent-based security profiles for faster deployment, hardware-enforced P-key isolation for multi-tenant environments, and a real-time Security Health Score for continuous monitoring.
Learn more ➡️ nvda.ws/3S5BbGG
ALT One-Click Multi-Tenant Security with NVIDIA Quantum InfiniBand
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Most teams figure out AI infrastructure the hard way. NVIDIA Enterprise Reference Architectures exist so they don't have to.
Episode 1 of AI Factory Insider dives into the full stack behind production-ready AI deployments — and how NVIDIA's proven blueprints help enterprises get there faster.
Watch the full breakdown 👉 nvda.ws/4e5mWKD
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Demand for AI factories is extraordinary, and delivering them requires a new approach.
Our strategic partnership with Helix brings together world class infrastructure expertise and the proven NVIDIA DSX blueprint to support the buildout of AI factories built for speed, efficiency and lowest total cost of ownership.
Learn more: nvda.ws/43vqGis
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📣 We're hitting the main stage at Pure Accelerate 2026 — and we're bringing the full AI data story with us.
Join us June 17 in Las Vegas for sessions spanning the keynote to the breakout floor. From governed enterprise data to production AI outcomes — see how @EverpureData and NVIDIA are making it real.
🔗 Learn more: nvda.ws/43ZMBhQ
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AI models are precious, and they need real protection.
At #NVIDIAGTC Taipei, our CEO Jensen Huang explained why NVIDIA Vera BlueField-4 STX is critical for agentic AI.
With the new in-silicon security for AI storage, NVIDIA DOCA enables STX to provide up to 1,000x faster runtime threat detection and enforces file access at speeds up to 800Gb/s.
Learn more ➡️ nvda.ws/4edeHLb
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👏 Congratulations to the @Oracle Cloud team on being among the first to bring up NVIDIA Vera Rubin NVL72.
Together, we're delivering the infrastructure for the agentic AI era.
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OCI continues to push the frontier of AI infrastructure. We are among the first cloud providers to bring up an @nvidia Vera Rubin NVL72 rack for validation testing, working closely with NVIDIA to deliver next-generation accelerated computing to customers at cloud scale.
Pic 1: What it takes to bring up the first rack. Pic 2: What it looks like after the models it will help train get a chance to clean up the photo.
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Operational maturity shouldn't break your existing enterprise IT workflows when scaling AI infrastructure. 🛠️
Discover how NVIDIA DGX Spark and NVIDIA GB10 systems deliver a modular, agentless manageability framework designed to integrate seamlessly into your current CMDB, SIEM, and monitoring pipelines.
📖 Read the blog: nvda.ws/49RXfut
ALT Delivering Lifecycle Control for AI Infrastructure at Scale with NVIDIA DGX Spark Enterprise Manageability
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NVIDIA Vera Rubin is ramping into full production to power agentic AI factories worldwide.
With a supply chain twice as large as NVIDIA Grace Blackwell, Vera Rubin provides manufacturing, cloud, and infrastructure partners with a POD-scale platform to fuel the buildout of tomorrow’s AI factories.
Read the press release → nvda.ws/4aC2XRl
#NVIDIAGTC
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Proud to collaborate on the next frontier of private AI. 🔒
Apple is expanding Private Cloud Compute to @GoogleCloud using NVIDIA GPUs.
nvda.ws/4ewJl3q
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