Hardware Archives
…November 17, 2025 NVIDIA Wins Every MLPerf Training v5.1 Benchmark In the age of AI reasoning, training smarter, more capable models is critical to scaling intelligence. Delivering the massive performance to…
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How Did NVIDIA Double Blackwell Performance Through Continuous Software Optimizations to Lower Token Cost?
NVIDIA doubled Blackwell performance through continuous software optimization, refining kernels, compiler paths, and inference runtimes so the same hardware delivers significantly more useful AI throughput over time. Initial gpt-oss-120b performance on an NVIDIA DGX Blackwell B200 system with the NVIDIA TensorRT LLM library was market-leading, but NVIDIA’s teams and the community have significantly optimized TensorRT LLM for open-source large language models. The TensorRT LLM v1.0 release is a major breakthrough in making large AI models faster and more responsive for everyone. Through advance
NVIDIA Blackwell Raises Bar in New InferenceMAX Benchmarks, Delivering Unmatched Performance and Lowest Cost Per TokenSupercomputing Archives
…October 13, 2025 NVIDIA Blackwell Raises Bar in New InferenceMAX Benchmarks, Delivering Unmatched Performance and Lowest Cost Per Token NVIDIA Blackwell swept the new SemiAnalysis InferenceMAX v1 benchmarks, delivering the highest performance…
Networking Archives
…NVIDIA last month announced a record-breaking benchmark result of 410 trillion traversed edges per... December 10, 2025 NVIDIA and AWS Expand Full-Stack Partnership, Providing the Secure, High-Performance Compute Platform…
NVIDIA Partners With Microsoft on Unified Stack for Agentic AI Deployment, From Windows Devices to Cloud to Local
…Paired with the NVIDIA Nemotron open model family, enterprises can run high-performance AI workloads where their data resides, whether in on-premises, hybrid or sovereign environments, without sacrificing performance or governance…
What Drives AI Inference Profitability?
…Open-weight models are also closing the gap with closed models, reducing the performance difference from 8% to just 1.7% on some benchmarks in a single year. Together, these trends are…
What’s the Difference Between Deep Learning Training and Inference?
…Evaluating Training and Inference Performance Multiple inference performance benchmarks show how the full-stack NVIDIA inference platform consistently sets new industry records. To see how these advantages translate into real-world performance…
Enterprises Onboard AI Teammates Faster With NVIDIA NeMo Tools to Scale Employee Productivity
…performance, scalable microservice uses popular post-training techniques including supervised fine-tuning and low-rank adaptation. NeMo Evaluator simplifies the evaluation of AI models and workflows on custom and industry benchmarks with…
NVIDIA Jetson Brings Agentic AI to the Physical World
…JetPack 7.2 at the base — operating system (OS), compute, deterministic performance. A new layer of agent skills in the middle, automating developer tasks. And NemoClaw at the top. JetPack 7.2…
National Robotics Week — Latest Physical AI Research, Breakthroughs and Resources
…Benchmarking the Next Generation of Generalist Robots 🔗 RoboLab is a high-fidelity simulation benchmark for developing and evaluating generalist robot policies — powering systems designed to perform diverse tasks across environments. https://blogs…
NVIDIA and Partners Show That Software-Defined AI-RAN Is the Next Wireless Generation
…New benchmarking results from partners like SynaXG showed that AI-RAN running on NVIDIA platforms delivers high-speed, carrier-grade performance — meaning extreme reliability — across multiple 5G spectrum bands. And over 20…