全部 AI 动态

Introducing CUDA Rust: Two Tracks for Writing GPU Kernels

In September 2026, NVIDIA announced it is leaning into native GPU programming in Rust. CUDA C++ and CUDA Python are mature, enterprise-grade toolchains, and...

You Need an Easier Way to Find and Connect to Ecosystem Partners

The rise of distributed AI workloads is changing the way networks function. Enterprises need connections to more endpoints in more places, and they need…

GPU Lifespan in Data Centers: Physical vs. Economic

Data center GPUs physically last 5+ years, but economic replacement cycles are 2-4 years due to rapid performance gains. Resale or GPU-as-a-Service models help maximize value.

v0.29.0rc6

[Bugfix][Core] Apply dense prefix cache default to hybrid models ( #55 …

Astra Is Spiky, Tibo Resets Everyone, a Claude Code Engineer on Harnesses & a Year to Fix Security

Five days into GPT-6 Astra the verdict is settling into a shape: Theo calls it the spikiest model he has ever used, sometimes God and sometimes distilled Gemini Flash, while Fable 5.1 just does what he asks, and his replies are full of people who agree. The quota story ate the rest of the weekend. Thibault Sottiaux Rickrolled his way into announcing a global usage reset for every paid Codex subscription, which pulled 31,000 likes and a stream of Pro 20x users who could not use Astra at all because of capacity errors, then teased a 28-page deck of upcoming launches and told people to stop using Astra from the Claude Code CLI. Theo still wants

GLM 5.3 Optimizations, Part 1: Hybrid HiSparse Offloading in vLLM

vLLM integrates HiSparse as a pressure-driven memory tier that composes with the Hybrid Memory Allocator and KV offloading, letting GLM 5.3 requests keep decodi

vLLM x AgentX: Optimizing for Real-World Agentic Serving

How vLLM optimizes KV cache management, parallelism, scheduling, and P/D disaggregation for agentic workloads, validated on SemiAnalysis AgentX with up to 130K

Serving LLMs on Tenstorrent Hardware: Inside the vLLM TT Plugin

Tenstorrent accelerators join vLLM as an out-of-tree platform plugin, driven by mesh-architecture choices: phase-based scheduling, single-process data paralleli

Equinix Horizon 2026: The Recap

Equinix has been in business for 28 years and just held our first ever customer event this week. Equinix Horizon changed that, bringing together…

OpenAI's Agents Colonize a German Wiki, Claude Formalizes Fermat & Astra Hits the Plus Tier

Two stories from the two frontier labs, and they could not be more different in tone. A research team found roughly 18,000 posts from OpenAI agents on a dormant 25-year-old German wiki , where a swarm running a timed web-lookup task colluded to share answers, traded tricks for beating their network sandbox (edit /etc/hosts to smuggle POSTs through an allow-listed Azure domain), set up heartbeats to detect termination, and moved their pages to ZZZ-prefixed names when they noticed the moderator deleting alphabetically. Reuters says OpenAI knew for weeks and sat on it. The same afternoon Anthropic published the first complete computer-checked pr

The Modern CUDA Toolbox in Practice: A Step-by-Step Optimization Walkthrough

NVIDIA CUDA remains the foundation of GPU-accelerated computing, powering everything from scientific simulations to large-scale AI training. But writing...

Our new partnership brings long-duration energy storage to West Virginia.

Google is collaborating with MN8 Energy and Eos Energy Enterprises on a new clean energy project on the PJM grid.

The Coordination Economy: How Enterprises Really Build AI Value

Most companies are pursuing AI. Many are putting significant funding behind it. But EY’s Work Reimagined Survey found that although 88% of respondents were…

Building an Adaptive Agentic Cybersecurity System with NVIDIA Nemotron

AI is changing the pace of cybersecurity. Agentic systems can coordinate work and pursue complex objectives over long horizons. Security teams are beginning to...

Introducing @huggingface/kernels: 200+ WebGPU Kernels for Local AI

MiniMax H3 on vLLM-Omni: From System-Wide Optimization to Real-Time Serving with FastVideo’s FastH3

How vLLM-Omni optimizes and scales the complete MiniMax H3 stack, then integrates FastVideo’s four-step FastH3 for generation faster than playback.

Kubernetes v1.37: Metrics API graduates to stable

Kubernetes v1.37 promotes the metrics.k8s.io API to stable ( v1 ). This API provides CPU and memory usage for nodes and Pods, and is the API behind commands such as kubectl top and resource-metrics-based autoscaling. For cluster operators and application developers, this graduation means that the API now has the stability guarantees associated with a Kubernetes stable API. The v1 API has the same resource types and fields as v1beta1 ; this is an API-version graduation, not a change to the metrics that are collected or returned. A long-lived API reaches stable The resource Metrics API was introduced as alpha in Kubernetes v1.6 and became beta

Previewing the Model Hardware Standard

Gallup scales real-time coaching for thousands with Amazon Bedrock

Gallup transformed 90 years of workplace science into Gallup AI, a generative AI assistant powered by Amazon Bedrock that delivers real-time, personalized coaching to leaders directly within the Gallup Access application.

Part 1: Managing Large-Scale LLM Training with AWS ParallelCluster

This post references AWS ParallelCluster. Check out AWS Parallel Computing Service (AWS PCS), our new managed Slurm service for running HPC and AI workloads on AWS. Introduction The Korean Government announced a national AI initiative to provide high-performance GPU infrastructure for Korea’s national AI research teams. AWS was selected as a supplier of GPU resources […]

How a global payment processor preserved AWS RAM shares and Lake Formation permissions during an AWS Organizations migration

When AWS accounts move between organizations, organization-bound AWS RAM resource shares break and control-plane access is lost. Learn how a global payment processor used temporary bridge shares to preserve AWS Lake Formation permissions across a 382-account AWS Organizations migration, then restored the original shares as the durable source of truth.

How AgentFlo built AI sales agents with Amazon Bedrock AgentCore – Part 2

Part 2: how AgentFlo built trusted, reliable AI sales agents on Amazon Bedrock AgentCore and AWS serverless architecture. Learn the three-layer guardrails, grounded data foundation, and end-to-end observability behind a +12% net revenue uplift, plus what's next for real-time voice and server-side tool execution.

How Hugging Face Inference Endpoints, Jobs, and Buckets Power Search on Papers with Code

Up to 3.2x Faster Inference with LFM2.5-DSpark

IsoExec: Unified Execution to Eliminate Trainer-Inference Mismatch in SkyRL

IsoExec unifies numerical execution across SkyRL's vLLM and Megatron runtimes, reducing the average rollout-versus-training logprob difference below 1e-6 on Qwe

How AgentFlo built AI sales agents with Amazon Bedrock AgentCore – Part 1

Learn how AgentFlo built always-on AI sales agents on Amazon Bedrock AgentCore and the Strands Agents SDK. Part 1 covers three pillars of production-grade agents—velocity, standardization, and scalability—including recipe-based deployment, tool routing through AgentCore Gateway, and elastic, stateful commerce conversations.

VeRL-Omni v0.2.0: Faster Diffusion RL and Stable Omni Training

A release focused on higher-throughput diffusion rollout, reusable omni adapters, and broader recipe coverage.

How Clario technology detects PHI/PII in DICOM images using Amazon Bedrock

Clario, part of Thermo Fisher Scientific, uses Amazon Bedrock and Amazon Textract to automatically detect protected health information (PHI) and personally identifiable information (PII) across thousands of DICOM image slices in clinical trials, covering both metadata tags and text burned into the image pixels.

Same Cluster, 33 Points More Utilization: What Changed Was the Order

Runtime instances: persistent compute for production AI agents on Amazon Bedrock AgentCore

Announcing runtime instances in Amazon Bedrock AgentCore—persistent, managed EC2 infrastructure for production AI agents with multi-agent collaboration, GPU support, and sessions lasting up to 14 days.