Nvidia's Blackwell chips are leading AI benchmarks, delivering high performance in training and deployment of next-generation AI applications.
The Blackwell architecture excelled on the MLPerf Training benchmarks, showcasing its superiority across various AI workloads.
Nvidia's at-scale submissions using the Blackwell platform demonstrated significant performance improvements compared to previous generations.
The Blackwell architecture features advanced technologies like high-density liquid-cooled racks, large coherent memory, fifth-gen NVLink, and Nvidia Quantum-2 InfiniBand networking.
Nvidia's NeMo Framework software stack enhances multimodal LLM training for agentic AI applications, essential for various industries.
AI-powered applications from Nvidia will run in AI factories, contributing to the agentic AI economy by generating valuable intelligence across industries.
Nvidia's data center platform includes GPUs, CPUs, high-speed fabrics, and software libraries to accelerate model training and deployment.
Nvidia's partner ecosystem actively participated in the MLPerf benchmarks, showcasing collaborative efforts for AI advancements.
Nvidia's focus on pre-training and post-training scaling in AI models aims to optimize performance and value generation in the AI landscape.
The MLPerf benchmark ensures standardized performance comparisons while reflecting Nvidia's commitment to AI innovation and excellence.