NVIDIA B200 SXM
NVIDIA's flagship Blackwell-architecture datacenter GPU with 192 GB of HBM3e memory and 8 TB/s of memory bandwidth. Designed for trillion-parameter LLM training and large-scale inference, with 5th-generation Tensor Cores and FP4 precision support.
VRAM
192 GB
Memory
HBM3e
Bandwidth
8000 GB/s
TDP
1000W
Suitable Workloads
Large Language Models
Training and inference for models like GPT-4, Llama 70B+
Deep Learning Training
High-performance training for neural networks
Distributed Training
Multi-node training with fast interconnects
High-Throughput Inference
Optimized for batched inference workloads
Key Highlights
- Built on Blackwell architecture
- SXM form factor
Memory
Compute Performance
Architecture
Power & Physical
Interconnect
Pricing
Notes
Compute throughput shown with 2:4 structured sparsity. Two-die package connected via NV-HBI. Liquid-cooled HGX SXM module.
Models That May Fit on NVIDIA B200 SXM
Estimates based on INT8 quantization. Actual fit depends on framework and batch size.
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Added Apr 30, 2026
Last updated: Apr 30, 2026
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