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 NVIDIA’s flagship Blackwell GPU for data centers; pricing tends to reflect its premium positioning. Early availability was paced due to ramp‑up cycles typical of advanced semiconductor yields.
The NVIDIA B200 is NVIDIA’s current flagship data‑center GPU built on the next‑generation Blackwell architecture, designed to dramatically advance AI training and inference performance. The B200 targets hyperscale generative AI workloads, including large language models (LLMs), multi‑modality, and high‑throughput inference serving.
Key architectural innovations include fifth‑generation Tensor Cores, expanded ultra‑high bandwidth memory, and enhanced interconnect fabric for multi‑GPU scaling.
| Specification | B200 GPU |
|---|---|
| Architecture | NVIDIA Blackwell |
| CUDA Cores | ~16,896 (derived relative to H100 comparisons) |
| Tensor Cores | ~528 |
| Memory | 192 GB HBM3e |
| Memory Bandwidth | ~8 TB/s |
| Interconnect | NVLink 5 (multi-GPU) |
| Form Factor | SXM |
| Max TGP | ~1000 W |
| Precision Support | FP64, TF32, FP16/FP8/FP4 |
| Typical AI Compute | ~20 PFLOPS (FP4) |
| Process Node | TSMC 4NP |
| Transistor Count | ~208 billion |
| MIG Support | Supported |
| NVLink (peer) | 1.8 TB/s bidirectional (est.) |
Comparable NVIDIA GPUs:
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Complementary Silicon:
The NVIDIA B200 represents the current pinnacle of NVIDIA’s datacenter GPU lineup, combining high‑capacity memory, leading tensor performance, and advanced interconnect for scalable AI workloads. It is engineered to accelerate next‑generation generative AI models, both in training and inference, and serves as a strategic backbone for enterprise and cloud AI infrastructure.