Models & Labs
NVIDIA Blackwell Tops Agentic AI Benchmark
NVIDIA Bloghigh confidence
Why it matters
- →Agentic AI benchmarks provide a new way to measure AI system performance on complex tasks.
- →NVIDIA Blackwell's efficiency could significantly reduce costs for large-scale AI deployments.
- →This sets a new standard for evaluating AI infrastructure in real-world applications.
NVIDIA's Blackwell Ultra NVL72 platform has achieved top performance in the inaugural AgentPerf benchmark for agentic AI, developed by Artificial Analysis. This benchmark evaluates AI systems on their ability to handle complex, multi-step tasks, a departure from traditional AI benchmarks focused on single LLM calls. The Blackwell platform demonstrated the ability to run 20 times more agents per megawatt compared to NVIDIA Hopper, highlighting its efficiency in large-scale AI deployments. This performance is crucial for enterprises looking to optimize their AI infrastructure investments.
Read originalThe story around this
Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
How we got here
- 1NVIDIA Nemotron 3 Available on Together AI
Together AI Blog · March 11, 2026 · Background
- 2NVIDIA Launches Nemotron 3 Nano Omni
Matt Wolfe · May 1, 2026 · Background
- 3Hugging Face Launches Open Agent Leaderboard
Hugging Face Blog · May 18, 2026 · Related
- 4Together AI's Inference Engine Outperforms Competitors
Together AI Blog · May 19, 2026 · Related
- 5Nvidia Unveils AI Agent-Centric Tech at COMPUTEX
The Rundown AI · June 2, 2026 · Related
- 6NVIDIA Launches Nemotron 3 Ultra Model
Ollama Blog · June 4, 2026 · Related
- 7NVIDIA Unveils Nemotron 3 Ultra Model
Sam Witteveen · June 4, 2026 · Related
- 8NVIDIA Unveils Nemotron 3 Ultra for AI Agents
Matt Wolfe · June 5, 2026 · Related
What happened next
- 9Benchmarking Open Models for Agentic Use
Hugging Face Blog · June 18, 2026 · Related
- 10NVIDIA Highlights Performance per Watt for AI Efficiency
NVIDIA Blog · July 14, 2026 · Same story
- 11Intel Explores Agentic AI for Enterprise Workflows
MIT Technology Review AI · July 27, 2026 · Related
- 12NVIDIA Nemotron 3.5 Lightning Launches for Local AI Agents
Ollama Blog · August 11, 2026 · Related
- 13NVIDIA Vera Rubin NVL72 Boosts AI Agent Efficiency
NVIDIA Blog · August 24, 2026 · Same story
Follow this story
Open the full story →NVIDIA Blackwell Tops Agentic AI Benchmark
2 developments
- Jun 12 · NVIDIA Blog
NVIDIA Blackwell Tops Agentic AI Benchmark (This article) - Jun 16 · NVIDIA Blog
NVIDIA Blackwell Dominates MLPerf Training 6.0↳ Blackwell leads all MLPerf Training 6.0 categories including new mixture-of-experts workloads scaling to 8,192 GPUs.
More in Models & Labs
Models & Labsmodels
llama.cpp b12029 adds CUDA 13 and Snapdragon support
This release quietly cements llama.cpp as the universal inference runtime by finally supporting NVIDIA's latest CUDA 13 stack alongside AMD's ROCm 10.0. The inclusion of native builds for Linux arm64 with Snapdragon chips, covering CPU, Adreno GPU, and Hexagon NPU, signals a serious push into mobile edge deployment. While Apple Silicon KleidiAI is disabled in this specific build, the broader hardware coverage means developers no longer need to compile from source for most modern accelerators. It’s less about new features and more about removing friction for anyone running local models on bleeding-edge or diverse hardware.
llama.cpp Releases
© The Verge AIModels & Labsother
Apple Intelligence arrives in China via iOS 27.3
Apple is finally unlocking its AI suite for Chinese users with the iOS 27.3 beta, marking a significant regulatory milestone after months of approval delays. The rollout relies on Alibaba’s Qwen model rather than OpenAI, integrating features like notification summaries and visual intelligence directly into the OS. By sidestepping the new Siri in favor of established text and image tools, Apple is prioritizing immediate utility over the full generative experience. This move effectively brings Apple’s AI capabilities to a massive new market, albeit with localized constraints that distinguish it from the global release.
The Verge AI
© Matt WolfeModels & Labsmodels
Google Releases Gemini 4 Carbon for Cost-Efficient Inference
Google launched Gemini 4 Carbon, a new model variant aimed at providing high performance at a lower cost for inference tasks.
Matt Wolfe