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Two professionals examine performance graphs on a monitor in a server room with NVIDIA hardware.

Benchmarking LLM Performance at Scale with NVIDIA AIPerf

You're deploying a model on a system. It starts up, prompts are getting responses. Now the hard question: Is this fast? Your instincts might lead you to send curl commands, hand-roll an asyncio script, or write yet another one-off load generator. All these approaches share the same problems: single-process performance limits, Python's GIL capping concurrency, or numbers measured against a reference you built yourself. Either way, you end up with results you can't fully trust, attached to tooling you'll have to rewrite the moment requirements change. What you need is a load client that can...

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A macOS desktop displays the OpenClaw welcome window with a pink mascot, setup instructions, and a scenic background.

OpenClaw Brings Native App Installation to macOS, Simplifies Local AI Setup on Windows

OpenClaw has inspired hundreds of thousands of developers to run agents on their own hardware. But getting started hasn't always been straightforward—even technically experienced users spend more than 30 minutes wrestling with setup before achieving a working agent. In June, OpenClaw launched a Windows App installer to simplify onboarding for users avoiding the terminal. Today, the company is bringing that native app experience to macOS, and making Windows setup even simpler for machines with NVIDIA RTX GPUs. .abn-galeria .uk-slidenav, .abn-galeria .uk-slidenav:hover, ...

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Frontier Intelligence Goes Local

Frontier Intelligence Goes Local

At IFA 2026, NVIDIA, Microsoft and their partners are unveiling faster inference capabilities and simplified tools for running AI agents locally on NVIDIA hardware. New compact NVIDIA RTX Spark Windows PCs arrive in October, offering AI enthusiasts, developers and creators local, secure agent deployment. Simplified Local AI Support and Performance Improvements Simplified local AI support for NVIDIA GPUs is coming to Hermes Agent, OpenClaw and Perplexity Portable Computer. Up to 1.9x faster local inference — New llama.cpp and vLLM optimizations are available now directly through LM Studio...

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Perplexity and NVIDIA logos side by side on a black background with a green "NVIDIA Local AI" button below.

Perplexity Portable Computer Windows NVIDIA RTX

As local models become more capable, AI agents can handle more work directly on a PC while keeping sensitive information on the device. Portable Computer Portable Computer is a local version of the agent Perplexity Computer that plans and carries out multistep tasks. Accelerated by NVIDIA GPUs, it uses local models to analyze data, bring together information across files, and handle recurring work. Sensitive information stays on device, and locally completed work doesn't consume Perplexity Computer credits. Users can also orchestrate work to cloud models for more advanced research and...

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Glowing green network links connect laptops and devices in a distributed system on a dark reflective surface.

NVIDIA PAIR: Distributed AI Inference for Home Networks

AI agents are learning to work together more effectively. A lead agent can break complex tasks into smaller jobs and assign them to specialized subagents, with users increasingly running multiple agent sessions simultaneously. Multi-agent workflows are becoming more common, but this approach can bottleneck the system as many requests flood the GPU at once. NVIDIA Personal AI Router (PAIR) addresses this problem by leveraging local hardware to distribute inference requests across available systems on a home network. PAIR routes each independent request to an available machine and works with...

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Black ASUS ProArt motherboard with gold accents, CPU socket, RAM slots, and M.2 slots, featuring geometric design elements.

ASUS Showcases AI-Powered ProArt Creator Solutions at IBC 2026

The lineup spans professional SDI monitors, advanced OLED display technology, and AI-accelerated creation powered by NVIDIA RTX Spark, demonstrating how AI now touches every stage of production: from on-device generation and inference on ultra-portable hardware to remote access to full workstation-class GPU power to real-time AI video generation on multi-GPU workstations. AI Creator Laptops and Portable Platforms At the center of ASUS's AI creator story are the ProArt P16 and ProArt P14, slim Windows creator laptops built for personal AI-agent workflows and powered by RTX Spark. They...

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Agent Skill Security: ClawHub's Open Security Pipeline

Agent Skill Security: ClawHub’s Open Security Pipeline

Agent skill files have a reputation for being insecure, and that reputation is earned. When we launched ClawHub alongside OpenClaw, we were immediately targeted by actors who tried to publish skills bundling known malware. We partnered with VirusTotal to flag those skills and ban the publishers automatically. Traditional malware scanning is a relatively solved problem. Identifying agentic risk is not. A skill can claim to summarize your logs while bundling a script that ships them off your machine. A well-meaning skill can point your agent at a CLI that wipes production on the wrong flag....

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Glowing NVIDIA and Google logos on a dark circuit-patterned surface, symbolizing tech collaboration.

Gemma 4 brings NVIDIA-optimized local AI across devices

Google and NVIDIA have introduced the Gemma 4 family of open models, specifically optimized for local execution on NVIDIA hardware. These models represent a transition toward on-device intelligence that leverages real-time context to perform complex actions across various form factors. From professional workstations and RTX-powered PCs to the DGX Spark personal AI supercomputer and compact Jetson Orin Nano modules, this initiative scales advanced reasoning and multimodal capabilities directly to the hardware level. Model Specifications and Performance Benchmarks The Gemma 4 lineup includes...

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