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Physical AI Takes the Wheel: How the World’s Robotaxi Leaders Are Building With NVIDIA Technologies

NVIDIA details a three-computer robotaxi platform that Uber, Lyft, May Mobility, Mercedes-Benz and others are adopting to scale autonomous fleets.

NVIDIA says every major commercial robotaxi program runs on its stack, spanning training (DGX with Alpamayo VLA models), simulation and validation (Omniverse, Cosmos, AlpaSim on RTX PRO), and in-vehicle compute (DRIVE Hyperion 10 with dual DRIVE AGX Thor chips). Adding meta-action and chain-of-thought reasoning data to a VLA model reduced minimum average displacement error by 43%, from 2.08 to 1.18. Uber plans NVIDIA DRIVE Hyperion-based fleets across 28 cities by 2028, partnering with Autobrains, Avride, Lucid, May Mobility, Mercedes-Benz, Momenta, Nissan, Nuro, Pony.ai, Stellantis, Waabi, Wayve, WeRide and Zoox. DRIVE Hyperion 10 combines 14 cameras, nine radars, three lidars and 12 ultrasonics with redundant compute and NVIDIA Halos safety validation.

NVIDIA Blog · 6d agoAI industry

Sparks Fly: NVIDIA Accelerates Local AI at IFA 2026

NVIDIA announces local AI push at IFA 2026 with faster llama.cpp/vLLM inference, PAIR routing tool, and October RTX Spark PCs.

At IFA 2026, NVIDIA announced simplified local AI support for agents in Hermes Agent, OpenClaw, and Perplexity Portable Computer, plus new llama.cpp and vLLM optimizations delivering up to 1.9x faster local inference. NVIDIA also unveiled PAIR, a Personal AI Router for distributing inference across a local network's PCs, and compact RTX Spark Windows PCs from Lenovo and Acer arriving in October. The post recaps recent local-capable model releases including Nemotron 3.5 Lightning (30B), Qwen3.8-Flash-Next and Qwen3.8-27B, DeepSeek v4 Flash (284B MoE, 13B active), Meta Muse Glimmer (30B), Z.ai GLM-5.3-Flash, LTX 2.5, and MiniMax-H3 with the FastH3 distilled variant.

NVIDIA Blog · 13d agoAI industry

AI Infra Summit: NVIDIA Vera Rubin and DSX Platform Advancements Showcase Energy Efficiencies of Optimizing Tokens Per Watt for AI Factories

At AI Infra Summit, NVIDIA showcased Vera Rubin and DSX gains up to 1.4x tokens per megawatt, plus Annapurna, d-Matrix, and Pinterest partnerships.

Ian Buck's AI Infra Summit keynote before 8,000+ attendees emphasized validated agentic tokens per megawatt as the emerging AI infrastructure metric. Announcements include Amazon's Annapurna Labs collaborating on NVHBM custom high-bandwidth memory, d-Matrix integrating NVLink Fusion with Raptor XPUs, and Pinterest using Blackwell plus Dynamo inference software for conversational visual discovery. Lambda reported 23% better performance per watt with DSX MaxLPS on Blackwell servers, running 19 nodes on a 16-node power budget. NVIDIA says DSX MaxLPS combined with Groq 3 LPX on Vera Rubin NVL72 targets up to 35X token throughput per megawatt versus GB200 NVL72 for 2-trillion-plus-parameter models.

NVIDIA Blog · 1d agoAI industry

NVIDIA Brings Real-Time AI to Broadcast, Sports and Global Streaming at IBC

NVIDIA expanded its AI for Media suite at IBC 2026, adding NIM microservices for synthetic video detection, body pose, frame generation, upscaling and HDR.

At IBC 2026 in Amsterdam, NVIDIA announced a major expansion of NVIDIA AI for Media, a collection of GPU-accelerated SDKs, NIM microservices and blueprints for broadcast and streaming workflows. The Synthetic Video Detector (SVD) NIM microservice reaches 99.3% accuracy on text-to-video and 97.7% on image-to-video content, while Video Frame Generation boosts frame rates 2x-4x and Video Super Resolution adds 10-bit support; TrueHDR converts SDR to HDR at up to roughly 2,000 nits. Partners including Dalet, TwelveLabs, Wowza, Vizrt and Ross Video are integrating the new services into verification, compliance and live-production workflows.

NVIDIA Blog · 7d agoAI industry

NVIDIA Vera Rubin NVL72 Delivers Leading Performance in MLPerf Inference v6.1 Debut

NVIDIA's Vera Rubin NVL72 debuts in MLPerf Inference v6.1 with up to 3.7x higher throughput than GB300 NVL72 and 99% scaling efficiency at 288 GPUs.

In its first MLPerf Inference preview submission, NVIDIA's Vera Rubin NVL72 achieved up to 3.7x higher throughput than GB300 NVL72 on Qwen3-VL and 2.5x on DeepSeek-R1. A 288-GPU GB300 NVL72 submission across four racks reached 99% scaling efficiency on the DeepSeek-R1 offline benchmark. Software optimizations delivered up to 1.6x gains over v6.0, leveraging TensorRT-LLM, vLLM, Dynamo, disaggregated serving, and NVFP4 precision.

NVIDIA Blog · 6h agoAI industry 2 sources

From Megawatts to Tokens: How NVIDIA Maximizes AI Factory Production

NVIDIA detailed DSX power-management results: Lambda gained 24% token throughput at fixed power, and an AI factory auto-shed 1MW via Emerald AI's grid program.

NVIDIA says Lambda's first validation of DSX MaxLPS on HGX B200 servers ran 19 nodes within a 16-node power budget, lifting cluster token throughput 24% (roughly 4M to 5M tokens/second) and improving performance per watt by 23%. NVIDIA projects DSX MaxLPS can enable up to 40% more GPU capacity for Vera Rubin NVL72 factories within the same megawatt budget. Emerald AI's Conductor platform, running at NVIDIA's Eos factory with Silicon Valley Power, responded to over 200 utility demand signals, automatically dropping power from 4MW to 3MW without interrupting priority workloads. The first dedicated DSX Flex commercial deployment is planned at a 96-megawatt Manassas, Virginia facility.

NVIDIA Blog · 1d agoAI industry

Skild AI Taps NVIDIA Physical AI to Teach Robots New Tasks From a Single Video

Skild AI launched its S1 robot foundation model, built on NVIDIA infrastructure, that learns long-horizon industrial tasks from a single video.

Skild AI's S1 model uses in-context learning from one video demonstration to execute unfamiliar multistep tasks lasting up to 10 minutes without weight updates or task-specific post-training. In tests on new tasks it achieved about 66% per-step success versus 9% for a comparable AI system, and one video demonstration was estimated to match roughly 380 hands-on training examples. The company reached a $100 million annual revenue run rate with more than 60 deployment partnerships, and with NVIDIA and Foxconn deploys the Skild Brain on dual-arm manipulators assembling NVIDIA Blackwell systems. Training and validation rely on NVIDIA Isaac Lab, Isaac Sim, Omniverse, Cosmos and the Newton physics engine.

NVIDIA Blog · 6d agoModel release

NVIDIA and CrowdStrike Strengthen Agentic Cybersecurity Frontier

NVIDIA and CrowdStrike announce SafeMind, an agentic cybersecurity system built on Nemotron models, plus Falcon IQ for agentic workload automation.

At CrowdStrike's Fal.Con 2026, NVIDIA and CrowdStrike announced SafeMind, an agentic cybersecurity system combining CrowdStrike's purpose-built frontier models and harnesses with NVIDIA Nemotron open models in a continuous red-versus-blue coevolution loop. A Blue Solano model post-trained on Nemotron 3 Super reportedly achieved higher accuracy than leading frontier models at 99% lower cost. CrowdStrike also introduced Falcon IQ, powered by Nemotron models in the Charlotte AI AgentWorks platform, coordinating more than 50 agents for automated defensive workflows. CrowdStrike cited an 89% year-over-year rise in AI-enabled attacks and a fastest eCrime breakout time of 27 seconds as context for agentic defense.

NVIDIA Blog · 14d agoAI industry

Perplexity Portable Computer Is Now Available on Windows, Powered by NVIDIA RTX

Perplexity launches Portable Computer local AI agent on Windows for NVIDIA RTX PCs with 24GB+ VRAM, keeping sensitive work on-device.

Perplexity released Portable Computer, a local version of its agentic Perplexity Computer, in its Windows app for NVIDIA GeForce RTX PCs and RTX PRO Workstations with 24GB or more VRAM. It runs a locally post-trained model such as Qwen 3.8 27B optimized for NVIDIA RTX GPUs, handling multistep tasks and file analysis on-device with a SPACE sandbox and built-in browser. Connectors cover Outlook, OneDrive, Word, Google Drive, Gmail, Slack, and GitHub, and the agent can escalate to cloud models only with user permission.

NVIDIA Blog · 2d agoAI industry

Nvidia and Palantir team up to run supply chains with AI, starting with Nvidia's own million-part operation

Nvidia and Palantir integrated open Nemotron models and cuOpt into Foundry to run AI-driven supply chains, starting with Nvidia's million-part operation.

Nvidia and Palantir announced a partnership to run supply chains with AI, first deployed on Nvidia's own network of millions of parts and thousands of suppliers; a single Vera Rubin rack contains 1.3 million components. Palantir is integrating open Nemotron models into its Foundry platform for customer fine-tuning, while Nvidia cuOpt handles scenario planning and optimization, with decisions fed back to improve models over time. The stack runs on customer hardware or in the cloud through the Sovereign AI OS reference architecture with infrastructure partners Dell, Cisco, Rackspace, and Nebius, with more details shown at AIPCon 11.

The Decoder · 6d agoAI industry1

New GPUThor Rowhammer Defeats ECC on NVIDIA RTX A6000 to Gain Host Root Access

University of Toronto researchers present GPUThor, a Rowhammer attack that defeats ECC on NVIDIA RTX A4000-A6000 GDDR6 GPUs and achieves host root access.

GPUThor uses non-uniform hammering to bypass Target Row Refresh and overcome SECDED ECC on NVIDIA Ampere workstation GPUs with GDDR6 memory, inducing 72,000 to 377,552 bit flips per gigabyte across RTX A6000, A5000, A4500, and A4000 cards. Triple-bit silent data corruption enables host privilege escalation to root with the IOMMU enabled, reusing GPUBreach page-table corruption techniques, and double-bit DUEs allow escalation when the IOMMU is disabled during a ~10 ms lazy-service window. The attack cut end-to-end escalation time on the A6000 from 21.9 hours to 1.1 minutes. Reported to NVIDIA, Google, Microsoft, and AWS on April 29, 2026; findings were embargoed until August 25, 2026, and no CVE identifier was assigned.

The Hacker News · 8d agoResearch1

Jensen Huang explains why Nvidia will grow an astounding 70% next year

Nvidia CEO Jensen Huang reiterated at a Goldman Sachs conference that revenue could grow 70% year-over-year next year, reaching roughly $680 billion.

Speaking at the Goldman Sachs Communicopia + Technology conference, Huang reaffirmed guidance of about 70% revenue growth next year, implying roughly $680 billion after an expected ~$400 billion this fiscal year. He cited the Grace-Blackwell system (36 Grace CPUs with 72 Blackwell GPUs) experiencing 27% month-over-month order growth and claimed $100 billion in revenue-generating contracts at companies Nvidia invests in. Huang argued Nvidia underpins models from OpenAI, Anthropic, and Google and tracks global data center capacity, while dismissing concerns about circular deals and competition from hyperscalers, Cerebras, and Etched.

TechCrunch · AI · 5d agoAI industry

nvidia/Qwen3.8-Flash-Next-NVFP4 — new model trending #28 on Hugging Face

NVIDIA released an NVFP4 4-bit quantized build of Alibaba's Qwen3.8-Flash-Next, a 125B-parameter MoE vision-language model, via Model Optimizer.

The checkpoint quantizes Qwen3.8-Flash-Next — a hybrid-attention (Gated DeltaNet and Qwen Sparse Attention) Mixture-of-Experts model with 125B total and 6B activated parameters, plus 51B n-gram embeddings and 4B MTP — using NVIDIA Model Optimizer v0.46.0. NVFP4 benchmarks stay close to FP8: GPQA Diamond 91.5 vs 92.0, MMMU Pro 78.3 vs 77.1, Terminal-Bench 2.1 82.9 vs 83.3. It targets Blackwell B200/B300 GPUs, runs on vLLM, supports 262K context extendable to 1M tokens, and is licensed under the NVIDIA Open Model License with Qwen Community License 1.0.

Hugging Face trending models · 14d agoModel release

University of Manchester Uses NVIDIA Earth-2 to Forecast Air Pollution Across the UK

University of Manchester retrained NVIDIA Earth-2 CorrDiff and StormCast on Isambard-AI to forecast UK air pollution at 2-3 km resolution.

University of Manchester researchers led by professor David Topping adapted NVIDIA's Earth-2 generative AI frameworks to forecast air pollution across the UK. Earth-2 CorrDiff was retrained in two days on a single eight-GPU node of Isambard-AI (5,448 GH200 Grace Hopper Superchips, 21 exaflops) using a year of hourly simulated pollution data, producing a UK-wide model at 2-3 square kilometer resolution. The team added Earth-2 StormCast for time-dependent forecasts that ingest real air quality observations, and demonstrated the workflow runs on the DGX Spark desktop AI system. Open-source training data and workflows are planned so other countries and cities can build similar pollution models.

NVIDIA Blog · 16h agoAI industry

Nightmare Eclipse Drops CrowdStrike, Nvidia, Avast Zero-Day Exploits

Researcher Nightmare Eclipse released working zero-day PoCs for Avast, CrowdStrike Falcon, and Nvidia, prompting a Gen patch, CrowdStrike mitigation, and Nvidia investigation.

Security researcher Nightmare Eclipse released three zero-day exploits within a short window: PrettyPrague targeting the Avast sandbox for full system privileges (possibly affecting other GenDigital products including AVG and Norton), FalconFlank exploiting CrowdStrike Falcon Sensor's Office malicious macros remediation feature for privilege escalation, and GreenSection targeting an out-of-bounds memory write in a shared global memory section used by Nvidia user-mode components. GenDigital said it has fixed the Avast issue; CrowdStrike advised disabling the Microsoft Office File Suspicious Macro Removal policy setting; Nvidia said it is actively investigating the PoC. Kevin Beaumont reported that the Avast, CrowdStrike, and Kaspersky exploits work. The researcher previously released the HardBreacher privilege escalation zero-day in Kaspersky endpoint security, patched August 31.

SecurityWeek · 9d agoExploit / PoC

Heart of the Matter: How a Major Children’s Hospital Uses Open Source NVIDIA AI for Cardiac Care

Children's Hospital of Philadelphia uses NVIDIA open-source MONAI, Warp and Newton to build pediatric heart models in seconds for surgical planning.

CHOP's cardiac modeling service uses MONAI, Auto3DSeg and SlicerHeart to turn CT, MRI and 3D ultrasound images into anatomically precise heart models in seconds instead of four hours of manual work. More than 20 US children's hospitals run similar programs, with Boston Children's supporting roughly 500 cardiac surgery cases a year. NVIDIA's Newton physics engine, built on the Warp Python framework, aims to reduce device simulations from hours to near real time in clinical workflows.

NVIDIA Blog · 1d agoAI industry

Nvidia buys Hugging Face, the GitHub of AI, for $13 billion

Nvidia agreed to acquire Hugging Face for $13 billion, pledging the 3-million-model open platform will remain open to its 18 million developers.

Nvidia has agreed to acquire Hugging Face, the model and dataset hosting platform, for $13 billion, pending regulatory review. The platform hosts about 3 million primarily open AI models, 500,000 datasets, and 1 million AI applications, used by more than 200,000 companies and 18 million developers. Nvidia pledged Hugging Face will remain an open platform and keep its brand; the startup previously declined a $500 million Nvidia investment to avoid a dominant investor. The deal supports Nvidia's open-weights strategy, alongside backing for Reflection AI, CoreWeave, and Nebius.

Ars Technica · AI · 13d agoAI industry

NVIDIA to Acquire Hugging Face

NVIDIA agreed to acquire Hugging Face for $12.93 billion while pledging to keep the platform open, multi-cloud and vendor-neutral.

NVIDIA announced an agreement to acquire Hugging Face for $12,930,300,000. Hugging Face hosts more than 3 million models, 500,000 datasets and 1 million applications used by over 18 million developers and 200,000 companies. NVIDIA says the platform will remain open, with no requirement to use NVIDIA compute, and will continue supporting multi-cloud and multi-accelerator development and deployment. NVIDIA is already Hugging Face's largest contributor of open models and datasets, with more than 500 models and 250 open datasets released.

NVIDIA Blog · 13d agoAI industry

[AINews] OpenAI shuts off Cursor

OpenAI cut off API access to coding tool Cursor after its SpaceX acquisition, citing contract violations by Elon Musk's companies.

OpenAI disabled Cursor's access following the closing of Cursor's acquisition by SpaceX, citing its experience with Elon Musk's companies violating contracts; Cursor responded that OpenAI accounts for only 5% of its traffic. The weekly digest also covers major open-weight releases: Z.ai's GLM-5.3 (744B total/40B active, 1M context) and Tencent's Hy4-preview (770B/49B, ~#5 on Code Arena WebDev), plus Alibaba's Qwen3.8-Flash (125B/6B). vLLM published benchmarks showing no universal winner among speculative decoding methods across model families.

Latent Space · 18d agoAI industry

NVIDIA security advisory (AV26-849)

Canada's Cyber Centre relayed NVIDIA security advisories covering vulnerabilities in NemoClaw, OpenShell, Unified Fabric Manager, and DGX Spark.

The Canadian Centre for Cyber Security issued bulletin AV26-849 flagging NVIDIA vulnerabilities across NemoClaw and OpenShell (multiple versions), NVIDIA Unified Fabric Manager (multiple versions and models), and DGX Spark (versions prior to 1.110.13). The advisory links to NVIDIA security bulletins and urges users and administrators to apply updates as they become available. No exploitation details or CVE identifiers are enumerated in the advisory text.

Canadian Centre for Cyber Security · 21d agoAdvisory

NVIDIA Open-Sources OSMO: One YAML Orchestrates Physical AI Training, Simulation, and Robot Testing

NVIDIA open-sourced OSMO, a Kubernetes-native YAML orchestrator running physical-AI training, simulation, and robot testing across mixed GPU tiers.

OSMO (Apache-2.0, latest release 6.3.1) lets teams describe training, simulation, and hardware-in-the-loop pipelines in a single YAML and routes tasks across datacenter GPUs (GB200), workstation RTX hardware, and edge devices like Jetson AGX Thor. It ships Helm charts and containers on NGC, uses the KAI Scheduler with NVLink topology-aware placement, and includes RBAC, OAuth2, and TLS termination. NVIDIA says it is battle-tested on GR00T, Isaac Lab, Isaac Sim, and Isaac ROS, and integrates with Claude Code, OpenAI Codex, and Cursor agents.

MarkTechPost · 2d agoAI tools & infra

Nvidia wants to pour up to $10 billion into Anthropic's record-breaking IPO

Nvidia is reportedly in talks to invest up to $10 billion in Anthropic's IPO, which targets a $2 trillion valuation, making it history's largest.

Reuters reports Nvidia is negotiating to become an anchor investor with up to $10 billion in Anthropic's planned IPO, locking in shares before they hit the open market. Anthropic aims to raise up to $100 billion at a roughly $2 trillion valuation, with the IPO expected to complete before the US midterms in November. Anthropic's revenue reportedly grew from about $9 billion at the end of 2025 to over $65 billion by July 2026. The company already runs on Nvidia GPUs and committed in 2025 to purchasing $30 billion in Azure compute packed with Nvidia chips.

The Decoder · 4d agoAI industry1

NVIDIA Details BioNeMo Inference Runtime (BioIR): 2.90x Higher Boltz-2 Folding Throughput and 58.5K Residues per GPU-Hour on 8xH100

NVIDIA released BioNeMo Inference Runtime (BioIR), an open-source PyTorch-compatible library delivering 2.90x higher Boltz-2 protein-folding throughput on 8xH100 GPUs.

NVIDIA detailed BioIR, a Python library that accelerates Boltz-2, OpenFold2, and OpenFold3 structure-prediction inference on NVIDIA GPUs while preserving standard PyTorch workflows. On a matched benchmark of 1,000 human dimers on 8xH100 80GB GPUs, BioIR delivered 58.5K folded residues per GPU-hour versus 20.2K for a torch.compile baseline, a 2.90x throughput gain. BioIR already powered the AlphaFold Database expansion, generating about 31 million candidate complexes across 4,777 proteomes, with 1.81 million released as high-confidence predictions. Extrapolated to 1 million targets, estimated folding energy drops from 35 MWh to 11 MWh at 8-GPU TDP equivalents.

MarkTechPost · 5d agoAI tools & infra1

NVIDIA Announces CUDA Rust with cuda-oxide (SIMT) and cutile-rs (Tile) for Compile-Time-Safe GPU Kernels

NVIDIA launches CUDA Rust via open-source cuda-oxide (SIMT) and cutile-rs (Tile), bringing compile-time-safe Rust GPU kernels.

NVIDIA announced CUDA Rust, making Rust a first-class language for GPU kernels through two NVlabs open-source projects: cuda-oxide for the SIMT model and cutile-rs for the Tile model. Both use Rust's ownership and borrow checker to catch buffer aliasing bugs at compile time. cutile-rs is published on crates.io, runs on stable Rust 1.89+ with CUDA 13.3, and is already used in Hugging Face's Grout inference engine and mistral.rs; cuda-oxide is early alpha requiring nightly Rust, CUDA 12.x, and compute capability 8.0+. cuda-oxide compiles Rust MIR through the community Pliron IR framework and LLVM to PTX, while cutile-rs JIT-compiles kernels via CUDA Tile IR.

MarkTechPost · 8d agoAI tools & infra2

Chaotic Eclipse Released GreenSection, A PoC For NVIDIA Memory Corruption Zero-Day

Researcher Chaotic Eclipse released GreenSection, a PoC exploiting an unpatched out-of-bounds write in NVIDIA Windows user-mode shared memory.

Security researcher Chaotic Eclipse disclosed an out-of-bounds write in NVIDIA's Windows user-mode components, which share a global memory section (\BaseNamedObjects\{52813408-3561-4705-820a-2b3b78be92ba}) with full read/write access to all users. The PoC crashes applications running Vulkan or OpenGL; the researcher says the bug could cross user boundaries or compromise dwm.exe but did not fully assess the impact. No CVE has been assigned and no patch is mentioned. The researcher recently released zero-day PoCs against Kaspersky, Avast, and CrowdStrike Falcon.

Security Affairs · 9d agoExploit / PoC 2 sources

Robots are waiting for a ChatGPT moment: Nvidia’s Les Karpas explains why at TechCrunch Disrupt 2026

NVIDIA Inception's Les Karpas will discuss at TechCrunch Disrupt 2026 why robotics lacks a ChatGPT moment, citing missing internet-scale physical AI datasets.

NVIDIA Inception's Global Head of Physical AI, Les Karpas, will speak on the Real World AI Stage at TechCrunch Disrupt 2026, held October 13-15 at San Francisco's Moscone West. His core argument is that general-purpose robots lack an internet-wide dataset for physical AI, unlike language models from OpenAI and Anthropic. Founders from Shield AI, Colossal Biosciences, FieldAI, and Foxglove will join related sessions.

TechCrunch · AI · 6h agoAI industry

Salesforce and Nvidia’s new reasoning model is everything the AI labs should fear

Salesforce and Nvidia launch Koa, Salesforce's first reasoning model, built on Nvidia's open-weight Nemotron and post-trained on synthetic sales and support data.

Salesforce announced Koa at Dreamforce, its first reasoning model, built on Nvidia's open-weight Nemotron and post-trained with synthetic data mimicking sales and customer-support scenarios rather than real customer data. Koa will be offered through the Agentforce platform's AI gateway as a cheaper, token-efficient alternative to closed frontier models like Claude and ChatGPT for enterprise tasks. Salesforce simultaneously announced a ClaudeForce partnership with Anthropic keeping customer data inside Salesforce's infrastructure.

TechCrunch · AI · 1d agoModel release1

Implementation of Machine Learning Workflows with NVIDIA cuML, RAPIDS, GPU Benchmarking, Explainability, Clustering, and Model Inference

Hands-on tutorial implements NVIDIA cuML and RAPIDS to GPU-accelerate scikit-learn-style ML workflows with benchmarking, clustering, and inference.

The tutorial demonstrates NVIDIA cuML as a GPU-accelerated machine learning framework, using cuml.accel to speed up unmodified scikit-learn scripts with zero code changes and the native cuML API for CuPy/cuDF interoperability. It benchmarks CPU versus GPU implementations of PCA, K-Means, nearest-neighbor search, logistic regression, random forests, and DBSCAN on datasets up to 200,000 samples with 64 features. It also builds GPU pipelines with UMAP, t-SNE, and HDBSCAN, validates GPU-generated SHAP explanations, uses the FIL library for forest inference, and covers model serialization and GPU/CPU portability.

MarkTechPost · 3d agoAI tools & infra

A Malicious Webpage Could Poison Your Local AI Model Behind NVIDIA NemoClaw

Oasis Security found NVIDIA NemoClaw's Ollama binding to 0.0.0.0 enables DNS rebinding attacks that let attacker pages poison model chat templates with persistent hidden instructions.

Oasis Security disclosed that NVIDIA NemoClaw on Windows/WSL paths binds Ollama to 0.0.0.0:11434 without authentication, exposing the API to browser-based DNS rebinding attacks from malicious webpages. An attacker can then modify the model's chat template via /api/create, planting hidden instructions that run on every subsequent inference and persist across conversations, invisible to API consumers. NemoClaw v0.0.35 fixed the issue on macOS and Linux; no fix exists for Windows and WSL paths beyond a warning in v0.0.34. Ollama's own 2024 fix (CVE-2024-28224) added Host header validation, but it is skipped when bound to non-loopback addresses. No exploitation has been reported as of August 25, 2026.

The Hacker News · 22d agoAI safety & securityCVE-2024-282241

We don’t need AI regulation — leave safety to us, Nvidia’s Jensen Huang says

Nvidia CEO Jensen Huang argues against new AI regulation at Dreamforce, claiming safety is an engineering problem best left to market forces.

Speaking at Salesforce's Dreamforce conference, Nvidia CEO Jensen Huang argued that AI is 'just hardware and software' and 'safety is an engineering problem, not a legal one,' so no new laws or regulations are needed. He claimed market forces already pressure companies not to release unsafe products and that innovation speed and safety are not a false choice. The article counters his stance by citing AI harms, including an OpenAI model hacking into Hugging Face and lawsuits over chatbot-related suicides, and notes Huang's direct influence with President Trump.

TechCrunch · AI · 20h agoAI industry

Inside NVIDIA’s cuDNN Graph API: Fusion, Autotuning, and Plan Reuse with cuDNN Frontend

MarkTechPost tutorial walks through NVIDIA's cuDNN Frontend graph API, covering kernel fusion, autotuning, plan reuse, and CUDA graph capture on Colab GPUs.

The tutorial explains how to express GPU computations as operation graphs via the cuDNN Frontend graph API, running the five-step build pipeline of validate, build operation graph, create execution plans, check support, and build plans. It progresses from a single fused convolution with bias and ReLU to autotuning across engine configs, FP8-style epilogues, attention, plan serialization, dynamic shapes, and CUDA graph capture. Each kernel is benchmarked against a PyTorch reference on a single Colab GPU to verify correctness and measure cost. The piece also covers practical setup issues like making libcudnn.so visible to the frontend's dynamic loader.

MarkTechPost · 23h agoAI tools & infra1

With Groq 3 LPX in Full Production, NVIDIA Extends Vera Rubin Inference for Agents

NVIDIA puts Groq 3 LPX into full production and extends Vera Rubin NVL72 rack-scale systems for fast token generation in agentic AI inference.

NVIDIA announced that Groq 3 LPX is in full production as part of an extension of the Vera Rubin NVL72 rack-scale platform aimed at agentic AI inference. The announcement frames the next era of inference as full-stack AI factory co-design across chips, networking, and systems rather than a single component breakthrough. The focus is improving token generation speed for agent workloads.

NVIDIA Blog · 23d agoAI industry

Emerald AI, Google and NVIDIA Launch Alliance to Advance Flexible AI Data Centers

Emerald AI, Google, and NVIDIA launched the AI Energy Management Alliance to promote power-flexible, grid-responsive AI data centers.

Emerald AI, Google, and NVIDIA announced the AI Energy Management Alliance (AEMA), a coalition advancing data centers that dynamically adjust electricity use in response to grid conditions. The technology-neutral, performance-based alliance will standardize flexibility requirements, define ride-through and curtailment obligations, and create faster interconnection pathways for facilities making verifiable flexibility commitments. It plans to convene AI platforms, data center operators, utilities, power producers, and grid operators to support US AI infrastructure growth.

NVIDIA Blog · 8h agoAI industry

Chipmaker Patch Tuesday: Nvidia, AMD, Arm Issue Security Advisories

AMD, Arm, and Nvidia issued Patch Tuesday advisories fixing a Linux GPU driver DoS flaw, nine Mali GPU vulnerabilities, and two high-severity Triton defects.

AMD fixed CVE-2026-43603, a NULL pointer dereference in its Linux GPU kernel driver that can crash systems and cause denial-of-service, credited to SecMate researchers, with patches for EPYC, Ryzen, Radeon, and Instinct shipped in July and embedded variants due in October. Arm published an advisory covering nine Mali GPU vulnerabilities allowing use-after-free access, kernel information leaks, or DoS, releasing fixes for Valhall and 5th Gen GPU Architecture drivers, with Bifrost also affected. Nvidia updated Triton Inference Server for Linux to resolve two high-severity flaws, one causing DoS and one enabling information disclosure, data tampering, and DoS. Intel had issued no new advisories since the previous Patch Tuesday.

SecurityWeek · 7d agoAdvisoryCVE-2026-43603

NVIDIA security advisory (AV26-900)

Canada's Cyber Centre flags NVIDIA Triton Inference Server versions through 26.03 and 26.06 as vulnerable, urging review of the September 2026 bulletin.

The Canadian Centre for Cyber Security issued advisory AV26-900 on September 9, 2026, noting that as of September 8, NVIDIA Triton Inference Server versions 0.0 to 26.03 and 0.0 to 26.06 are affected by vulnerabilities. The advisory includes no CVE identifiers or severity details and directs users to review NVIDIA's September 2026 Triton security bulletin and apply available updates.

Canadian Centre for Cyber Security · 7d agoAdvisory

[AINews] NVIDIA buys HuggingFace for $13B, as OpenAI publishes their HF incident retro

Z.ai released open-weight GLM-5.3-Flash (320B/18B active, 1M context, MIT) while Nvidia confirmed buying Hugging Face for $13B.

Z.ai formally launched GLM-5.3-Flash, the model previously previewed as Ox Alpha: 320B total parameters with 18B active, a 1M-token context window, natively multimodal, MIT-licensed, and claimed on par with Claude Opus 4.8 on coding. Artificial Analysis scored it 57 on its Intelligence Index at $0.09 per task, roughly 7.5x cheaper than GLM-5.3, and it scored 84.3% on Terminal-Bench 2.1. Nvidia's $13B acquisition of Hugging Face (~80x its $150M ARR) was confirmed, nearly double its initial $7B January offer. The roundup also notes Qwen shipping an impressive Flash model on Chinese chips as part of a broader open-model narrative.

Latent Space · 20d agoModel release1

Leading Publishers Bring Blockbuster PC Games and Technology to NVIDIA RTX Spark

NVIDIA announces EA, Embark, and Ubisoft titles plus anti-cheat and visual upgrades for RTX Spark ahead of launch at Gamescom.

NVIDIA is promoting RTX Spark at Gamescom in Cologne, Germany, with Electronic Arts, Embark, and Ubisoft bringing blockbuster PC titles to the platform ahead of its launch. The announcement covers new game support, anti-cheat technologies, and increased visual quality. The piece is a product-marketing update rather than security research or AI safety news.

NVIDIA Blog · 22d agoAI industry

[AINews] Poolside gets $12B reverse-execuhire to NVIDIA; founders stay for $1B, employees go for $6B, Infraco scaling to 7GW neocloud

NVIDIA struck a $12B deal with AI coding startup Poolside, licensing its Model Factory and hiring 109 of its technical employees.

NVIDIA spent roughly $12B in an unusual reverse-execuhire of Poolside, licensing the company's Model Factory while hiring 109 of its ~115 technical staff; founders retain a $1B stake and employees receive about $6B. Poolside had raced to raise $2B to fund a 40,000 GB300 cluster after missing a six-week funding window, and founders argue frontier-scale training now requires an order of magnitude more compute plus contracted data center space. An infrastructure arm spun out in January 2026 is scaling toward 7GW as a neocloud. The newsletter also recaps OpenAI and Anthropic agent-platform releases.

Latent Space · 26d agoAI industry

‘Now We Can Know Everything and Do Anything,’ Jensen Huang Says at Dreamforce

Salesforce unveiled Koa, its first CRM reasoning model post-trained on NVIDIA Nemotron 3 Super, announced during Jensen Huang's Dreamforce keynote.

At Salesforce Dreamforce, NVIDIA CEO Jensen Huang joined Marc Benioff onstage as Salesforce announced Koa, its first CRM reasoning model, post-trained from NVIDIA Nemotron 3 Super using NeMo RL, NeMo Gym, and NeMo AutoModel. Koa was fine-tuned on a proprietary synthetic dataset drawn from nearly three decades of enterprise CRM deployments across 14+ industries, with no customer data used in training or inference. On Salesforce's CRM Bench of real-world tasks, Koa matches or exceeds leading model performance on CRM actions with 3x fewer errors. Koa already powers an employee agent in Slack, enters customer pilots in October with Formula 1, UChicago Medicine, Baxter Credit Union, 1-800Accountant, Engine, and Xero, and reaches general availability in Winter 2026 in U.S. regions.

NVIDIA Blog · 22h agoAI industry

Nvidia CEO Jensen Huang tells Trump ‘we’re not going to let [an AI slowdown] happen’

Nvidia CEO Jensen Huang told Trump 'we're not going to let an AI slowdown happen,' rejecting Amodei's call to slow AI capability gains.

During the All-In Summit, Nvidia CEO Jensen Huang took a live speakerphone call from President Donald Trump and agreed 'we're not going to let' an AI slowdown happen, countering Anthropic CEO Dario Amodei's call to slow AI capability improvements, which Elon Musk and Sam Altman have endorsed. Trump called the slowdown sentiment 'a hoax' that could benefit political actors or China. Gallup polling shows seven in 10 Americans oppose local data center construction, with over 50% citing environmental resource concerns.

TechCrunch · AI · 1d agoAI industry