Enterprises and research organizations requiring:
Typical adopters include AI cloud platforms, hyperscalers, and institutions developing custom large AI models.Availability Notes
The B200 launched into production as NVIDIAβs flagship Blackwell GPU for data centers; pricing tends to reflect its premium positioning. Early availability was paced due to rampβup cycles typical of advanced semiconductor yields.
The NVIDIA B200 is NVIDIAβs current flagship dataβcenter GPU built on the nextβgeneration Blackwell architecture, designed to dramatically advance AI training and inference performance. The B200 targets hyperscale generative AI workloads, including large language models (LLMs), multiβmodality, and highβthroughput inference serving.
Key architectural innovations include fifthβgeneration Tensor Cores, expanded ultraβhigh bandwidth memory, and enhanced interconnect fabric for multiβGPU scaling.
| Specification | B200 GPU |
|---|---|
| Architecture | NVIDIA Blackwell |
| CUDA Cores | ~16,896 (derived relative to H100 comparisons) |
| Tensor Cores | ~528 |
| Memory | 192Β GB HBM3e |
| Memory Bandwidth | ~8Β TB/s |
| Interconnect | NVLinkΒ 5 (multi-GPU) |
| Form Factor | SXM |
| Max TGP | ~1000Β W |
| Precision Support | FP64, TF32, FP16/FP8/FP4 |
| Typical AI Compute | ~20Β PFLOPS (FP4) |
| Process Node | TSMCΒ 4NP |
| Transistor Count | ~208Β billion |
| MIG Support | Supported |
| NVLink (peer) | 1.8Β TB/s bidirectional (est.) |
Comparable NVIDIA GPUs:
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Complementary Silicon:
The NVIDIA B200 represents the current pinnacle of NVIDIAβs datacenter GPU lineup, combining highβcapacity memory, leading tensor performance, and advanced interconnect for scalable AI workloads. It is engineered to accelerate nextβgeneration generative AI models, both in training and inference, and serves as a strategic backbone for enterprise and cloud AI infrastructure.