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

Researcher Chaotic Eclipse released GreenSection, a PoC exploit for an NVIDIA Windows user-mode shared-memory flaw enabling out-of-bounds writes and potential dwm.exe compromise.

Researcher Chaotic Eclipse (aka Nightmare Eclipse) released a PoC named GreenSection for a zero-day in NVIDIA's Windows user-mode components. Multiple NVIDIA components share a global memory section in BaseNamedObjects with full read/write access to all users; although checks prevent misuse, runtime reuse of section data can cause an out-of-bounds write. The unstable PoC crashes applications using Vulkan or OpenGL and could potentially cross user boundaries or compromise the Windows Desktop Window Manager (dwm.exe), though impact was not fully investigated. The researcher recently published similar zero-day PoCs against Kaspersky Endpoint Security, Avast Antivirus, and CrowdStrike Falcon.

Security Affairs · 9d agoExploit / PoC 2 sources

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

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

Class Is in Session: GeForce NOW Levels Up Linux, Chromebooks and More

NVIDIA's GeForce NOW cloud gaming service ships its native Linux app out of beta and adds streaming optimizations for Frame Generation responsiveness.

NVIDIA announced that the native Linux application for its GeForce NOW cloud gaming service is officially out of beta. The update also delivers cloud optimizations that make Frame Generation feel more responsive while streaming, and Performance members will see higher frame rates. The announcement is timed for the back-to-school season and also mentions improvements for Chromebooks.

NVIDIA Blog · Aug 13, 2026AI industry

CUDA for AMD on Windows

GitHub project 'CUDA for AMD on Windows' trends on Hacker News, aiming to run CUDA workloads on AMD GPUs under Windows.

A GitHub repository named CUDA-for-AMD-Windows drew 45 points and 5 comments on Hacker News. The project targets making NVIDIA's CUDA software stack work on AMD GPUs under Windows, which matters to developers running GPU compute or inference on non-NVIDIA hardware. No security impact is described.

Hacker News · AI · 3d agoAI tools & infraHN 45↑ · 5 comments1

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

USN-8760-1: Linux kernel (NVIDIA) vulnerabilities

Canonical issues USN-8760-1 patching multiple Linux kernel (NVIDIA) vulnerabilities across numerous subsystems and CPU architectures.

Canonical published USN-8760-1 to correct several Linux kernel (NVIDIA) vulnerabilities that an attacker could possibly use to compromise the system. The update fixes flaws spanning UAPI, the kernel build system, ARM32, ARM64, RISC-V, S390, and x86 architectures. Patched subsystems also include the block layer, cryptographic API, Compute Acceleration Framework, Intel NPU driver, ACPI and Bluetooth drivers, and the hardware random number generator core.

Ubuntu Security Notices · 1d agoAdvisory

NVIDIA NVLink Fusion Expands With NVHBM Custom High-Bandwidth Memory

NVIDIA expands NVLink Fusion with NVHBM custom high-bandwidth memory for hyperscalers building trillion-parameter and agentic AI infrastructure.

NVIDIA announced that NVLink Fusion will expand to support NVHBM, a custom high-bandwidth memory option. The offering targets hyperscalers and AI innovators building next-generation systems where agentic AI and trillion-parameter workloads are mainstream. NVIDIA frames the announcement around co-designing compute, memory, storage, networking, and software as a unified system.

NVIDIA Blog · 21d agoAI industry

USN-8748-1: Linux kernel (NVIDIA) vulnerabilities

Ubuntu released USN-8748-1 patching multiple Linux kernel (NVIDIA) vulnerabilities across networking, file system, and crypto subsystems.

Ubuntu issued security notice USN-8748-1 fixing several Linux kernel vulnerabilities affecting the NVIDIA Tegra memory controller driver, hardware crypto device drivers, and network drivers, among others. Affected subsystems include GFS2, OCFS2, and SMB file systems, B.A.T.M.A.N. meshing, Ceph, Netfilter, Open vSwitch, IPv4/IPv6, RxRPC, SCTP, and TIPC. An attacker could potentially exploit these flaws to compromise the system.

Ubuntu Security Notices · 6d agoAdvisoryCVE-2026-52914CVE-2026-52931CVE-2026-52955+8 CVEs

d-Matrix Adopts NVIDIA NVLink Fusion for Rack-Scale XPU Deployment

d-Matrix will integrate its Raptor inference XPUs with NVIDIA NVLink Fusion, MGX racks and Spectrum-X networking for rack-scale AI factory deployment.

Inference chipmaker d-Matrix announced adoption of NVIDIA NVLink Fusion to connect its next-generation Raptor XPUs to NVIDIA's scale-up and scale-out networking, MGX rack architecture, and broader AI factory platform. NVIDIA claims 3x lower XPU-to-XPU latency than off-the-shelf Ethernet and 3 TB/s per-XPU all-to-all bandwidth via sixth-generation NVLink. d-Matrix plans to integrate Vera CPUs, ConnectX-9 SuperNICs, BlueField-4 DPUs and Spectrum-X Ethernet, with racks able to work alongside Vera Rubin NVL72 GPU systems. Other NVLink Fusion partners include AWS, Arm, Intel, Fujitsu, Marvell, MediaTek, Samsung and Cadence.

NVIDIA Blogupdated · 8h agofirst · 6d agoAI industry 2 sources

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

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

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

How XPUs Meet a World-Class AI Factory

NVIDIA argues AI factories with custom XPUs and NVLink Fusion connectivity must optimize tokens-per-second, tokens-per-watt, cost and uptime.

NVIDIA published a blog explaining that AI factories running continuously are economically defined by delivered output: tokens per second, tokens per watt, cost per token, utilization and uptime. It argues hyperscalers and AI-native companies building custom XPUs need infrastructure designed as a complete factory rather than collections of individual accelerators. The piece promotes NVIDIA's NVLink Fusion and full-stack XPU connectivity as the foundation for such world-class AI factory builds.

NVIDIA Blog · 23d 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

DeepZero: Open-source hunting for vulnerable Windows drivers

DeepZero, a new open-source engine, automates discovery of exploitable Windows kernel drivers for BYOVD attacks using Ghidra, Semgrep, and an LLM.

DeepZero is a free, open-source Python pipeline orchestrator that automates hunting for exploitable Windows kernel drivers relevant to BYOVD (bring your own vulnerable driver) attacks. Its seven-stage YAML pipeline parses PE headers, filters for kernel-mode drivers with IOCTL surfaces, excludes drivers listed on loldrivers.io, then runs headless Ghidra decompilation, Semgrep scanning, and an LLM-based exploitability assessment. The maintainer reports multiple verified vulnerabilities in the Snappy Driver Installer corpus, some still in the disclosure process, and notes findings involving plug-and-play-created device objects may need physical hardware to confirm.

Help Net Security · 17h agoTools

Arm Mali G2-Ultra NX GPU: desktop-class mobile gameplay with AI-native graphics

Arm unveiled Mali G2-Ultra NX, its first AI-native mobile GPU with in-shader neural acceleration, third-gen ray tracing, and up to 24% higher benchmark performance.

Arm announced the Mali G2-Ultra NX, the first AI-native Mali GPU, integrating neural accelerators directly into shader cores alongside a new execution engine and third-generation hardware ray tracing. It introduces Neural Super Sampling (NSS), Neural Frame Rate Upscaling (NFRU), and Neural Super Sampling and Denoising (NSSD); the Neural Dawn demo with Sumo Digital showed up to 4x performance efficiency and 70% lower external memory traffic versus native rendering. Arm claims up to 24% higher benchmark performance, 13% lower DRAM traffic on ray tracing benchmarks, and up to 120 FPS with NFRU. Over 14 billion Mali GPUs have shipped to date.

Hacker News · AI · 8d agoAI industryHN 71↑ · 53 comments1

GeForce NOW Gives Gamers More Ways to Play at Gamescom 2026

NVIDIA announced Gamescom 2026 GeForce NOW updates: DLSS 4.5 controls, new Steam device support, GOG single sign-on, Firefox access, and more cloud games.

At Gamescom 2026, NVIDIA announced expanded support for its GeForce NOW cloud gaming service, including new Steam devices, GOG single sign-on, Firefox browser access, and more big PC games coming to the cloud. The company also introduced new NVIDIA DLSS 4.5 technology controls that let members fine-tune gameplay. The announcements are consumer gaming product news rather than security or research developments.

NVIDIA Blog · 20d agoAI industry

Microsoft’s Project Zenith is a ‘distraction-free Windows experience’ for developers

Microsoft branded its developer-optimized Windows setup Project Zenith, with 64GB+ memory devices from AMD that run 30B+ parameter AI models locally.

Microsoft named its developer-focused Windows configuration Project Zenith, targeting new hardware with 64GB or more of unified memory. AMD unveiled the first Project Zenith device at IFA, a miniature PC powered by Ryzen AI Halo chips, with more devices expected in the coming months. The setup ships with a preconfigured Windows install and preinstalled developer tools including Visual Studio Code, GitHub Copilot, PowerToys, WinAppCLI, and Windows Dev Skills. Microsoft says it lets developers run 30B+ parameter models locally and unmetered, reducing reliance on metered cloud tokens.

The Verge · AI · 12d agoAI industry1

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 · 1d agoAI tools & infra2

Why Scaling AI Compute Performance Requires a New Power Architecture

NVIDIA argues AI factories need 800 VDC power distribution as dense GPU racks outgrow traditional AC-based delivery.

NVIDIA's blog contends each generation of accelerated computing demands higher rack density and more efficient, scalable power distribution. It frames the bottleneck as how power moves from the grid to the GPU rather than raw wattage, and describes limitations of traditional AC power delivery. NVIDIA advocates a new 800 VDC power architecture for AI factories.

NVIDIA Blog · Aug 11, 2026AI industry

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

GPUThor: Amplifying Rowhammer Attacks via Non-Uniform Patterns to Exploit ECC-Protected GPUs

GPUThor uses non-uniform hammering to amplify Rowhammer on NVIDIA GPUs, achieving 500X-23,500X more bit flips and first exploits of ECC-protected GPUs.

GPUThor is a Rowhammer attack on NVIDIA GPUs that reverse-engineers memory-access coalescing behavior to enable non-uniform hammering patterns activating aggressor rows more intensely than decoy rows. By identifying refresh instances where in-DRAM mitigations apply, it constructs longer patterns that escape mitigation across refresh intervals. It yields 500X to 23,500X more bit flips than prior GPU Rowhammer attacks across NVIDIA A4000, A4500, A5000, and A6000 GPUs, and enables the first Rowhammer exploits on ECC-protected GPUs via uncorrectable double and triple bit flips, making denial-of-service and privilege-escalation attacks practical.

arXiv cs.CR · 1d agoResearch

Microsoft’s Project Zenith puts large AI models directly on developer PCs

Microsoft's Project Zenith delivers a ready-to-code Windows 11 experience running 30B+ parameter AI models locally on 64GB+ unified-memory PCs, starting with AMD Ryzen AI Halo.

Project Zenith is a preconfigured Windows 11 developer experience for PCs with at least 64 GB of unified memory and 250 GB/s or higher memory bandwidth, capable of running AI models with more than 30 billion parameters locally without metered cloud tokens. First systems are powered by AMD Ryzen AI Halo, with additional OEM and silicon partner devices expected in coming months. The environment ships with WSL and Linux containers, pinned developer tools, and day-one AI agent security features including OS-enforced agent identity and containment through Microsoft Execution Containers (MXC).

Help Net Security · 8d agoAI industry1

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

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

ZDI-26-564: NVIDIA Transformers4Rec load_model_trainer_states_from_checkpoint Deserialization of Untrusted Data Remote Code Execution Vulnerability

ZDI discloses CVE-2026-24232, a CVSS 7.8 deserialization RCE in NVIDIA Transformers4Rec's load_model_trainer_states_from_checkpoint function.

The Zero Day Initiative published ZDI-26-564, a deserialization of untrusted data vulnerability in NVIDIA Transformers4Rec. Remote code execution is possible, but exploitation requires user interaction such as visiting a malicious page or opening a malicious file. The flaw is tracked as CVE-2026-24232 with a CVSS score of 7.8.

ZDI Published Advisories · Aug 13, 2026AdvisoryCVE-2026-24232

[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

Building a Linux GPU Driver for the M4 Mac Mini in One Month

Two developers built a fully OpenGL ES 3.0 compliant Linux GPU driver for the M4 Mac Mini in one month via clean-room reverse engineering.

Niklas and the author reverse engineered Apple's AGX GPU firmware ABI and user-space components in about a month, a process that normally takes years, producing an OpenGL ES 3.0 conformant driver fast enough to run Minecraft at 200fps on an M4 Mac Mini. The work was done transparently using hypervisor traces without examining Apple binaries, following clean-room practices, and included a custom shader compiler, command stream builder, and a full Linux kernel driver for the firmware ABI. The A18 Pro firmware ABI proved significantly more complex than the M1's, with 1.5x as many structs and twice as many pointers. All experiments and provenance evidence were published in public agx-re repositories.

Hacker News · AI · 1d agoResearchHN 40↑ · 5 comments

ZDI-26-594: NVIDIA Megatron Bridge load_model_config Code Injection Remote Code Execution Vulnerability

NVIDIA Megatron Bridge load_model_config code injection flaw (CVE-2026-24251, CVSS 7.8) enables remote arbitrary code execution on affected installs.

ZDI-26-594 describes a code injection vulnerability in NVIDIA Megatron Bridge's load_model_config function, tracked as CVE-2026-24251 with CVSS 7.8. Exploitation allows remote attackers to execute arbitrary code on affected installations and requires user interaction. The advisory was published by the Zero Day Initiative on August 24, 2026.

ZDI Published Advisories · 23d agoAdvisoryCVE-2026-24251