All news with #nvidia tag

Microsoft Expands Sovereign Cloud Capabilities, EU Focus

🛡️ Microsoft announced expanded sovereign cloud offerings aimed at helping governments and enterprises meet regulatory and resilience requirements across Europe and beyond. The update includes end-to-end AI data processing within an EU Data Boundary, expanded Microsoft 365 Copilot in-country processing to 15 countries and additional rollouts through 2026, plus a refreshed Sovereign Landing Zone for simplified deployment of sovereign controls. Azure Local gains increased scale, external SAN support, and NVIDIA RTX Pro 6000 Blackwell GPUs for high-performance on-prem AI, along with planned disconnected operations. A new Digital Sovereignty specialization gives partners a way to validate and badge their sovereign-cloud expertise.

How Scientists Can Use Gemini Enterprise for AI Workflows

🔬 Google Cloud presents how researchers can accelerate scientific workflows by combining Gemini Enterprise with integrated HPC infrastructure. It showcases AI agents—like the Deep Research agent for literature synthesis and the Idea Generation agent for proposing and ranking hypotheses—alongside developer tooling such as Gemini Code Assist and Gemini CLI for code, debugging, and workflow automation. The platform pairs these capabilities with purpose-built VMs (H4D, A4, A4X) and Google Cloud Managed Lustre to scale simulations and analysis.

Google Public Sector Summit: A New Era for Government AI

🔔 At the Google Public Sector Summit in Washington D.C., leaders highlighted a shift toward agentic AI and large-scale cloud modernization. Google introduced Gemini for Government, an accredited platform providing an AI Agent Gallery, agent-to-agent protocols, enterprise connectors, and governance controls to deploy and monitor AI agents. Speakers showcased real-world deployments across defense, city, and education sectors, and Google announced expanded partner investments plus an enhanced partnership with NVIDIA to support on-premises and air-gapped environments.

Check Point's AI Cloud Protect with NVIDIA BlueField

🔒 Check Point has made AI Cloud Protect powered by NVIDIA BlueField available for enterprise deployment, offering DPU-accelerated security for cloud AI workloads. The solution aims to inspect and protect GenAI traffic and prompts to reduce data exposure risks while integrating with existing cloud environments. It targets prompt manipulation and infrastructure attacks at scale and is positioned for organizations building AI factories.

A4X Max, GKE Networking, and Vertex AI Training Now Shipping

🚀 Google Cloud is expanding its NVIDIA collaboration with the new A4X Max instances powered by NVIDIA GB300 NVL72, delivering 72 GPUs with high‑bandwidth NVLink and shared memory for demanding multimodal reasoning. GKE now supports DRANET for topology‑aware RDMA scheduling and integrates NVIDIA NeMo Guardrails into GKE Inference Gateway, while Vertex AI Model Garden will host NVIDIA Nemotron models. Vertex AI Training adds NeMo and NeMo‑RL recipes and a managed Slurm environment to accelerate large‑scale training and deployment.

Microsoft and NVIDIA Deepen AI Infrastructure Partnership

🚀 Microsoft and NVIDIA announced expanded AI infrastructure on Azure, bringing NVIDIA RTX PRO 6000 Blackwell Server Edition to Azure Local, new Nemotron and Cosmos models via Azure AI Foundry, and broader support for Run:ai and GB300 NVL72 supercomputing clusters. These updates enable on-premises and edge AI with cloud-like management, improved GPU utilization, and infrastructure tailored for frontier reasoning, multimodal workloads, and real-time inferencing. Microsoft also highlighted NVIDIA Dynamo optimizations for ND GB200-v6 VMs to boost inference throughput at scale.

Securing the AI Factory: Palo Alto Networks and NVIDIA

🔒 Palo Alto Networks outlines a platform-centric approach to protect the enterprise AI Factory, announcing integration of Prisma AIRS with NVIDIA BlueField DPUs. The collaboration embeds distributed zero-trust security directly into infrastructure, delivering agentless, penalty-free runtime protection and real-time workload threat detection. Validated on NVIDIA RTX PRO Server and optimized for BlueField‑3, with BlueField‑4 forthcoming, the solution ties into Strata Cloud Manager and Cortex for end-to-end visibility and control, aiming to secure AI operations at scale without compromising performance.

TEE.Fail breaks confidential computing on DDR5 CPUs

🔓 Academic researchers disclosed TEE.Fail, a DDR5 memory-bus interposition side-channel that can extract secrets from Trusted Execution Environments such as Intel SGX, Intel TDX, and AMD SEV-SNP. By inserting an inexpensive interposer between a DDR5 DIMM and the motherboard and recording command/address and data bursts, attackers can map deterministic AES-XTS ciphertexts to plaintext values and recover signing and cryptographic keys. The method requires physical access and kernel privileges but can be implemented for under $1,000; Intel, AMD and NVIDIA were notified and are developing mitigations.

AI Hypercomputer Update: vLLM on TPUs and Tooling Advances

🔧 Google Cloud’s Q3 AI Hypercomputer update highlights inference improvements and expanded tooling to accelerate model serving and diagnostics. The release integrates vLLM with Cloud TPUs via the new tpu-inference plugin, unifying JAX and PyTorch runtimes and boosting TPU inference for models such as Gemma, Llama, and Qwen. Additional launches include improved XProf profiling and Cloud Diagnostics XProf, an AI inference recipe for NVIDIA Dynamo, NVIDIA NeMo RL recipes, and GA of the GKE Inference Gateway and Quickstart to help optimize latency and cost.

G4 VMs: High-performance P2P Fabric for Multi‑GPU Workloads

🚀 Google Cloud's newly GA G4 VMs combine NVIDIA RTX PRO 6000 Blackwell GPUs with a custom, software-defined PCIe fabric to enable high-performance peer-to-peer (P2P) GPU communication. The platform accelerates collective operations like All-Gather and All-Reduce without code changes, delivering up to 2.2x faster collectives. For tensor-parallel inference, customers can see up to 168% higher throughput and up to 41% lower inter-token latency. G4 integrates with GKE Inference Gateway for horizontal scaling and production deployments.

Google Cloud G4 VMs: NVIDIA RTX PRO 6000 Blackwell GA

🚀 The G4 VM is now generally available on Google Cloud, powered by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs and offering up to 768 GB of GDDR7 memory per instance class. It targets latency-sensitive and regulated workloads for generative AI, real-time rendering, simulation, and virtual workstations. Features include FP4 precision support, Multi-Instance GPU (MIG) partitioning, an enhanced PCIe P2P interconnect for faster multi‑GPU All-Reduce, and an NVIDIA Omniverse VMI on Marketplace for industrial digital twins.

ThreatsDay Bulletin: $15B Crypto Seizure, Weekly Risks

🔔 This week’s ThreatsDay bulletin highlights a historic U.S. DOJ seizure of roughly $15 billion in cryptocurrency linked to an alleged transnational fraud network, alongside active commodity malware, phishing-as-a-service, and novel abuses of legitimate tools. Notable incidents include the Brazil-distributed Maverick banking trojan spread via a WhatsApp worm, consumer-grade interception of geostationary satellite traffic, and UEFI BombShell flaws enabling bootkit persistence. Priorities: identity resilience, patching, and monitoring of remote-access and cloud services.

Google Cloud and NVIDIA Power AI Innovation Week in D.C.

🤝 At the end of October in Washington, D.C., Google Cloud and NVIDIA will lead a week of events highlighting advances in AI, high-performance computing, and secure mission deployments. NVIDIA GTC DC (Oct. 27–29) features keynotes, demos, and hands-on sessions showcasing next-generation models and infrastructure. The Google Public Sector Summit (Oct. 29) convenes government leaders to explore practical uses of technologies like Gemini for Government and discuss secure, scalable AI adoption for mission impact.

Microsoft Azure Debuts Large-Scale NVIDIA GB300 Cluster

🚀 Microsoft Azure announced the first production-scale cluster using more than 4,600 NVIDIA GB300 NVL72 (Blackwell Ultra) GPUs, co-engineered with NVIDIA to support OpenAI and other frontier AI workloads. The new ND GB300 v6 VMs are optimized for reasoning models, agentic systems, and multimodal generative AI, delivered on rack-scale systems with 72 GPUs per rack and 36 NVIDIA Grace CPUs. Microsoft says this infrastructure will shorten training from months to weeks and will scale to hundreds of thousands of Blackwell Ultra GPUs globally.

Zeroday Cloud contest: $4.5M bounties for cloud tools

🔐 Zeroday Cloud is a new hacking competition focused on open-source cloud and AI tools, offering a $4.5 million bug bounty pool. Hosted by Wiz Research with Google Cloud, AWS, and Microsoft, it takes place December 10–11 at Black Hat Europe in London. The contest features six categories covering AI, Kubernetes, containers, web servers, databases, and DevOps, with bounties ranging from $10,000 to $300,000. Participants must deliver complete compromises and register via HackerOne.

Cisco Talos Discloses Multiple Nvidia and Adobe Flaws

⚠ Cisco Talos disclosed five vulnerabilities in NVIDIA's CUDA Toolkit components and one use-after-free flaw in Adobe Acrobat Reader. The Nvidia issues affect tools like cuobjdump (12.8.55) and nvdisasm (12.8.90), where specially crafted fatbin or ELF files can trigger out-of-bounds writes, heap overflows, and potential arbitrary code execution. The Adobe bug (2025.001.20531) involves malicious JavaScript in PDFs that can reuse freed objects, leading to memory corruption and possible remote code execution if a user opens a crafted document.

Inside Fairwater: Microsoft's New Frontier AI Datacenter

🚀 Microsoft unveiled Fairwater, a purpose-built AI datacenter in Wisconsin and sister sites in Norway and the UK, designed to operate as a single, global-scale supercomputer. The facility deploys interconnected racks of NVIDIA GB200 servers (72 GPUs per rack) and claims 10× the performance of the world’s fastest supercomputer. It combines closed-loop liquid cooling, exabyte-scale storage and an AI WAN to enable distributed training and large-scale inference across Azure.

CrowdStrike Secures AI Across the Enterprise with Partners

🔒 CrowdStrike describes how the Falcon platform delivers unified visibility and lifecycle defense across the full AI stack, from GPUs and training data to inference pipelines and SaaS agents. The post highlights integrations with NVIDIA, AWS, Intel, Dell, Meta, and Salesforce to extend protection into infrastructure, data, models, and applications. It also introduces agentic defense via Charlotte AI for autonomous triage and rapid response, and emphasizes governance controls to prevent data leaks and adversarial manipulation.

Amazon SageMaker Adds EC2 P6-B200 Notebook Instances

🚀 Amazon Web Services announced general availability of EC2 P6-B200 instances for SageMaker notebooks. These instances include eight NVIDIA Blackwell GPUs with 1,440 GB of high-bandwidth GPU memory and 5th Gen Intel Xeon processors, offering up to 2x the training performance versus P5en. They enable interactive development and fine-tuning of large foundation models in JupyterLab and CodeEditor, and are available in US East (Ohio) and US West (Oregon).

Disaggregated AI Inference with NVIDIA Dynamo on GKE

⚡ This post announces a reproducible recipe to deploy NVIDIA Dynamo for disaggregated LLM inference on Google Cloud’s AI Hypercomputer using Google Kubernetes Engine, vLLM, and A3 Ultra (H200) GPUs. The recipe separates prefill and decode phases across dedicated GPU pools to reduce contention and lower latency. It includes single-node and multi-node examples and step-by-step deployment actions. The repository provides configuration guidance and future plans for broader GPU and engine support.