NVIDIA GB200 Grace Blackwell Superchip 372GB vs NVIDIA B100 SXM 192GB
The GB200 delivers 2.9x the FP8 throughput of the B100 (10,000 vs 3,500 TFLOPS dense). The GB200 also carries 180 GB more memory (372 GB vs 192 GB).
NVIDIA GB200 Grace Blackwell Superchip 372GB
Full specs →NVIDIA B100 SXM 192GB
Full specs →Specifications
Performance (TFLOPS)
FLOPS by Precision
What actually differs
Both GPUs launched in 2024: the GB200 on Blackwell and the B100 on Blackwell.
Dense throughput for the GB200 against the B100: FP64 80 vs 30 TFLOPS, FP32 160 vs 60 TFLOPS, FP16 5,000 vs 1,750 TFLOPS, FP8 10,000 vs 3,500 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.
Memory is 372 GB against 192 GB, fed at 16.0 TB/s versus 8.0 TB/s. More memory per GPU means larger models fit before you have to shard across cards, which often matters more than raw TFLOPS for inference.
For LLM training and inference, weight the FP8 and FP16 rows and memory capacity most heavily. For scientific and HPC workloads, the FP64 row is the one to read.
Frequently asked questions
Is the GB200 faster than the B100?
At FP8 precision the GB200 reaches 10,000 TFLOPS dense against 3,500 TFLOPS for the B100. The performance table on this page lists every published precision for both GPUs.
Which has more memory, the GB200 or the B100?
The GB200 carries 372 GB of memory versus 192 GB for the B100. Memory bandwidth is 16.0 TB/s for the GB200 and 8.0 TB/s for the B100.
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