NVIDIA's Blackwell Ultra GPU represents a major advancement in AI computing hardware, featuring a dual-reticle design with 208 billion transistors and 160 streaming multiprocessors. Key innovations include fifth-generation Tensor Cores with NVFP4 precision format delivering 15 petaFLOPS performance, 288 GB of HBM3E memory, and accelerated attention mechanisms for transformer models. The architecture provides 2x faster attention processing, 50% more compute capacity than standard Blackwell, and supports enterprise features like multi-instance GPU partitioning and confidential computing. These improvements enable more efficient AI inference, larger model deployment, and better performance per watt in data center environments.

12m read timeFrom developer.nvidia.com
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Dual-reticle design: one GPUStreaming multiprocessors: compute engines for the AI FactoryNVIDIA Tensor Cores, AI compute powerhousesUltra-charged NVFP4 performanceAccelerated softmax in the attention layerMemory: high capacity and bandwidth for multi-trillion-parameter modelsInterconnect: built for scaleAdvancing performance-efficiencyEnterprise-grade featuresAI video and data processing enhancementsNVIDIA GPU chip summary comparisonFrom chip to AI factoryComplete CUDA compatibilityThe bottom lineLearn moreAcknowledgments

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