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: nvda.ws/4yD3tbb
We’re excited to launch NVIDIA Minerva with Aolani, @Bitdeer_AI, @Dell, @IBM, @IREN_Ltd, Jio, @LambdaAPI, @Lenovo, @_quakeai, @Supermicro, and @Tesla. 🤝
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 ➡️ nvda.ws/4jzSUBV
“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. nvda.ws/4ia8amn
Rewatch the moment from Jensen Huang’s keynote at #NVIDIAGTC Berlin. nvda.ws/4jzkZsW
📣 @googlecloud announces general availability of NVIDIA Vera Rubin infrastructure.
Coming next month, A5X instances bring together NVIDIA Vera Rubin NVL72, NVIDIA ConnectX-9 SuperNICs and the Google Cloud Virgo Network for training, inference and large-scale reinforcement learning.
Discover how @IneffableLabs is advancing “superlearner” systems and how @WPP is bringing next-gen creative agents to A5X using NVIDIA Nemotron and NVIDIA OpenShell. ➡️ nvda.ws/3VYBtRJ
Europe is building its next wave of AI infrastructure, with NVIDIA Vera CPUs at the core.
At #NVIDIAGTC Berlin, @nebiusai, @nscale, and @verdacloud 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: nvda.ws/3WiFG2D
Complex designs demand faster simulation.
Announced at #NVIDIAGTC Berlin, NVIDIA cuDSS 1.0 is now generally available to accelerate direct sparse solves for engineering and scientific simulations, helping teams solve complex systems faster and explore more designs from workstations to multi-node clusters.
➡️ nvda.ws/4snea08
From semiconductor devices to industrial systems, @Applied4Tech, @Cadence, @COMSOL_Inc, @Dassault3DS, @Siemens, and @Synopsys are helping engineers simulate faster with NVIDIA cuDSS.
Scale AI securely across global infrastructure while maintaining full control of your models and data.
At #NVIDIAGTC Berlin, we’re introducing Confidential Bare Metal with NVIDIA Confidential Computing, enabling model builders to run sensitive AI workloads on dedicated third-party infrastructure securely.
@googlecloud is extending Confidential Bare Metal support to A4X Max instances, and @cohere plans to integrate it into Cohere Model Vault. ➡️ nvda.ws/4ixVneZ
NVIDIA Cloud Partners across Europe, the Nordics, Africa, and Central Asia are building full-stack AI factories that are sovereign, open and safe for AI agents.
Our partners are expanding infrastructure to advance sovereign AI, scale inference, and bring physical AI into production using technologies spanning NVIDIA DSX, Vera Rubin, OpenShell, BlueField, and Spectrum-X.
Read the #NVIDIAGTC Berlin announcement: nvda.ws/4z3o7Cn
Our CEO Jensen Huang is LIVE at #NVIDIAGTC Berlin.
Watch the keynote now ⬇️ youtube.com/live/PvFjbPYEOZI…
NVIDIA AI Infrastructure retweeted
AI factory deployment at a prepared site: from six months down to 14 days.
NVIDIA DSX POD brings Vera Rubin AI factories in containers, integrated and validated before delivery.
Announced at GTC Berlin: nvda.ws/4slQvNp
👀 @ChipsandCheese9 just published a deep dive into the system architecture behind NVIDIA Vera CPU and the takeaway speaks for itself: exceptionally strong per-core performance, backed by tremendous memory bandwidth.
Hello you fine Internet folks,
Today we are looking at Nvidia's Vera System level architecture and how they are feeding those 88 Olympus cores.
Hope y'all enjoy!
chipsandcheese.com/p/nvidia-…
Join us at IBM TechXchange 2026 to see how we're collaborating with @IBM to implement enterprise AI across infrastructure, software, and services.
Explore our sessions about building data platforms, deploying agents with AI factories, GPU-accelerated analytics, high-performance KV cache, and more.
Learn more and register: nvda.ws/4yZiZ1Q
The @BSC_CNS’s AI Factory Accelerator Programme is now in full operation, giving startups access to sovereign compute, technical support and training across industries.
Starting today, select BSC AI Factory services are also available to NVIDIA Inception members.
See how startups in Spain are advancing regional innovation: nvda.ws/484FYg7
This is what packing more sandboxes per host while maintain low latency looks like.
Thank you to the @modal team for sharing their benchmarks.
More NVIDIA Vera CPU surprises coming!
We got our hands on @nvidia's new Vera CPU and put it to the test.
We built a benchmark using real-world agentic workloads to see how it performs under contention.
In early tests, Vera delivered up to 2x the throughput of comparable x86 hardware, maintaining low latency even as hundreds of concurrent workloads competed for resources.
For Modal Sandboxes, that could mean running more agents in parallel without sacrificing latency.















