mlperf
27 articles about mlperf in AI news
NVIDIA Blackwell Sweeps MLPerf Training 6.0, GB300 Hits 1.6x Speedup
NVIDIA Blackwell swept MLPerf Training 6.0 across all seven benchmarks. GB300 NVL72 delivered 1.6x speedup over GB200 NVL72 using NVFP4 and 8,192 GPUs.
CoreWeave Trains DeepSeek-V3 in 2 Minutes, Claims MLPerf v6.0 Record
CoreWeave trained DeepSeek-V3 in ~2 minutes on MLPerf v6.0, beating AWS's record by 43% using 11K+ H100 GPUs across 4 data centers.
MLPerf 6.0: NVIDIA Sweeps New Benchmarks, AMD MI355X Within 30% on Select Tests
MLPerf 6.0 results show NVIDIA winning every new benchmark, with its GB300 NVL72 system achieving nearly 3x more throughput than six months ago. AMD's MI355X showed progress, coming within 10-30% on select single-node tests but skipping most new benchmarks.
Nvidia Claims MLPerf Inference v6.0 Records with 288-GPU Blackwell Ultra Systems, Highlights 2.7x Software Gains
MLCommons released MLPerf Inference v6.0 results, introducing multimodal and video model tests. Nvidia set records using 288-GPU Blackwell Ultra systems and achieved a 2.7x performance jump on DeepSeek-R1 via software optimizations alone.
KV Cache Offload Makes Storage the New AI Bottleneck
Storage, driven by KV cache offload and rising SSD costs, is now the primary AI bottleneck per Supermicro and SemiAnalysis.
GPT-5.6 Sol on Cerebras Hits 750 Token/s
GPT-5.6 Sol on Cerebras claimed at 750 token/s, but no official data or model release exists. Unverified claim needs vendor confirmation.
China's 14nm AI Chip Hits 520 TFLOPS Via Architecture, Not Shrink
China's 14nm AI chip claims 520 TFLOPS and 6.4TB/s bandwidth via software-defined and 3D near-memory architecture, bypassing advanced node restrictions.
NVIDIA Blackwell Cuts DeepSeek V4 Token Costs 5x in One Month
NVIDIA claims Blackwell inference stack cut DeepSeek V4 token costs 5x in one month, per a newly published report shared by @rohanpaul_ai.
Etched Hits $5B Valuation, $1B in Orders for AI Inference Chip
Etched hits $5B valuation with $1B in orders for TSMC-made inference chips, raising $500M from top investors. The startup targets Nvidia's dominance.
NVIDIA Vera Rubin: One Rack Matches TOP500, 35 EU Labs Deploy
NVIDIA's Vera Rubin NVL72 delivers TOP500-class performance in a single rack, with 35 European labs deploying the system for AI and HPC.
JUPITER Exascale Maps Brain at Cellular Scale on 4,096 Grace Hopper Nodes
JUPITER, Europe's first exascale supercomputer, trained CytoNet brain model on 6.5 PB in 5 days and runs climate, 6G, and quantum simulations.
Zalando Introduces MLLM-Based Evaluation for Product Retrieval
Zalando presents a multimodal LLM-based evaluation for product retrieval, aiming to enhance search relevance in e-commerce. This matters as it could set a new standard for assessing AI in retail search.
Intel Targets Nvidia, AMD with New AI Chip Launch by End 2026
Intel plans to launch a new AI data center chip by end of 2026, targeting Nvidia and AMD in the AI infrastructure market.
Canada Deploys Grace Blackwell via $220M Bell-Cohere Deal
Canada's $220M Bell-Cohere deal puts Grace Blackwell on domestic soil for sovereign AI, reducing reliance on US cloud providers.
AWS Beats Cloud Rivals to NVIDIA Blackwell with EC2 G7 — 4.6x AI Inference Gain Over G6
AWS launched EC2 G7 instances on June 19, 2026, becoming the first major cloud to offer NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs. The instances claim 4.6x AI inference performance over G6, backed by 700 Gbps EFA networking and 32 GB GDDR7 per GPU. The move arrives the same week AWS confirme
Lansing AI data center petition hits 20,000 signatures
Over 20,000 signatures oppose a Lansing AI data center tied to Nvidia's Vera Rubin build-out, signaling growing local resistance.
Tensordyne Claims 10x Efficiency Gain with Napier Architecture
Tensordyne claims 10x efficiency over Nvidia in inference with Napier gen, but lacks data or verification.
Amazon, Nvidia, AMD Lead $310M Odyssey ML Round at $1.45B Valuation
Odyssey ML raised $310M at $1.45B from Amazon, Nvidia, AMD to build 3D world models simulating physics beyond LLMs.
Cerebras Claims Performance Parity With Nvidia H100 on AI Training
Cerebras claims wafer-scale chips match Nvidia H100 on AI training performance per watt, challenging Nvidia's dominance.
China Launches Photonics Lab to Bypass US Chip Curbs on AI
China launched a photonics lab to bypass US chip curbs and develop energy-efficient AI computing using light instead of electrons.
mlx-vlm v0.6.2 Adds Gemma 4 QAT Support for Local GPUs
mlx-vlm v0.6.2 adds launch-day support for Google DeepMind's Gemma 4 QAT checkpoints, enabling local inference on consumer GPUs and edge devices with video input for the 12B model.
Google’s Virgo network interconnects 134K TPUv8t chips at 47 Pbps
Google's Virgo network interconnects 134,400 TPUv8t chips at 47 Pbps, targeting large-scale training clusters.
Cerebras Hits 981 Tokens/sec on 1T-Parameter Kimi K2.6, Claims 6.7× GPU Cloud Speedup
Cerebras reported 981 tokens/sec on the 1T-parameter Kimi K2.6 model, a 6.7× speedup over the next GPU cloud, validated by an independent third party.
Perplexity Claims 3x Blackwell Inference Throughput for 70B Models
Perplexity AI claims 3x inference throughput for 70B models on Nvidia Blackwell GPUs via FP4 and custom scheduling. The gain exceeds Nvidia's own 2x marketing claim.
MLX-Benchmark Suite Launches as First Comprehensive LLM Eval for Apple Silicon
The MLX-Benchmark Suite has been released as the first comprehensive evaluation framework for Large Language Models running on Apple's MLX framework. It provides standardized metrics for models optimized for Apple Silicon hardware.
NVIDIA Spotlights Physical AI Tools for Robotics Week 2026
NVIDIA is highlighting its platforms for robot simulation, synthetic data, and AI-powered learning during National Robotics Week 2026, aiming to accelerate the transition from virtual training to physical deployment.
Beyond the Hype: The New Open Benchmark Putting Every AI Code Review Tool to the Test
A new open benchmarking platform allows developers to test their custom AI code review bots against eight leading commercial tools using real-world data. This transparent approach moves beyond marketing claims to provide objective performance comparisons.