NVIDIA GB10 Grace Blackwell vs NVIDIA GB200 Grace Blackwell Superchip 372GB
The GB200 delivers 5.2x the FP32 throughput of the GB10 Grace Blackwell (160 vs 31 TFLOPS dense). The GB200 also carries 244 GB more memory (372 GB vs 128 GB).
NVIDIA GB10 Grace Blackwell
Full specs →NVIDIA GB200 Grace Blackwell Superchip 372GB
Full specs →Specifications
Performance (TFLOPS)
FLOPS by Precision
What actually differs
The GB10 Grace Blackwell is the newer part: Blackwell, launched in 2025, against the GB200's Blackwell from 2024. Newer architectures typically add lower-precision formats and better throughput per watt, so check the precision rows your workload actually uses.
Dense throughput for the GB10 Grace Blackwell against the GB200: FP32 31 vs 160 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.
Memory is 128 GB against 372 GB, fed at 273 GB/s versus 16.0 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 GB10 Grace Blackwell faster than the GB200?
At FP32 precision the GB200 reaches 160 TFLOPS dense against 31 TFLOPS for the GB10 Grace Blackwell. The performance table on this page lists every published precision for both GPUs.
Which has more memory, the GB10 Grace Blackwell or the GB200?
The GB200 carries 372 GB of memory versus 128 GB for the GB10 Grace Blackwell. Memory bandwidth is 273 GB/s for the GB10 Grace Blackwell and 16.0 TB/s for the GB200.
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