Nvidia B100
Blackwell data center GPU for next-generation AI training and inference.
- Arch
- Blackwell
- Memory
- 192 GB HBM3e
- Bandwidth
- 8.00 TB/s
- Released
- Q4 2024
At a glance
We don't currently track any B100 offers. See alternative GPUs.
Technical Specifications
Nvidia B100 · Per GPU
| Compute · dense | |
|---|---|
| FP4 | 7,000 TFLOPS 14,000 with sparsity |
| FP8 | 3,500 TFLOPS 7,000 with sparsity |
| FP16 / BF16 | 1,750 TFLOPS 3,500 with sparsity |
| INT8 | 3,500 TOPS 7,000 with sparsity |
| FP32 | 60 TFLOPS |
| FP64 | 30 TFLOPS |
| Precision support | FP4FP6FP8FP16BF16TF32FP32FP64INT8 |
| Memory | |
|---|---|
| Capacity | 192 GB HBM3e |
| Bandwidth | 8,000 GB/s |
| ECC | Yes |
| Silicon | |
|---|---|
| Architecture | Blackwell |
| Process | TSMC 4NP |
| Transistors | 208 billion |
| Fabric and host | |
|---|---|
| GPU interconnect | NVLink 1,800 GB/s |
| Host interface | PCIe 5.0 x16 |
| Power | |
|---|---|
| Cooling | Passive |
| Platform | |
|---|---|
| Partitioning | MIG, up to 7 instances |
Source: official Nvidia B100 datasheet.
Frequently Asked Questions
Why choose the B100?
-
192GB HBM3e with Blackwell architecture FP4 Tensor Cores. 1800 GB/s NVLink for massive multi-GPU scaling. Significant inference throughput improvement over H100 with FP4 precision.
Alternatives to Nvidia B100
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