NVIDIA GB200 Grace Blackwell Superchip 372GB vs NVIDIA RTX PRO 6000 Blackwell Workstation Edition

The GB200 delivers 9.9x the FP8 throughput of the RTX PRO 6000 Blackwell (10,000 vs 1,008 TFLOPS dense). The GB200 also carries 276 GB more memory (372 GB vs 96 GB).

GB200: Blackwell, 2024 RTX PRO 6000 Blackwell: Blackwell, 2025
FP8 dense lead
9.9x
GB200: 10,000 vs 1,008 TFLOPS
Memory
372 vs 96 GB
276 GB more for the GB200
Bandwidth
16.0 TB/s vs 1.8 TB/s
GB200 moves data faster

Specifications

GB200
RTX PRO 6000 Blackwell
Architecture
BlackwellBlackwell
Launch Year
20242025
Form Factor
SuperchipPCIe
Memory
372 GB96 GB
Memory Bandwidth
16.0 TB/s1.8 TB/s
TDP
600 W
Process Node
4nm4nm

Performance (TFLOPS)

GB200
RTX PRO 6000 Blackwell
FP64
80 TFLOPS 2 TFLOPS
FP32
160 TFLOPS 126 TFLOPS
TF32
2,500 TFLOPS
5,000 TFLOPS sparse
252 TFLOPS
504 TFLOPS sparse
BF16
5,000 TFLOPS
10,000 TFLOPS sparse
504 TFLOPS
1,008 TFLOPS sparse
FP16
5,000 TFLOPS
10,000 TFLOPS sparse
504 TFLOPS
1,008 TFLOPS sparse
FP8
10,000 TFLOPS
20,000 TFLOPS sparse
1,008 TFLOPS
2,015 TFLOPS sparse
FP6
10,000 TFLOPS
20,000 TFLOPS sparse
No verified data available
FP4
20,000 TFLOPS
40,000 TFLOPS sparse
2,015 TFLOPS
4,030 TFLOPS sparse
INT8
10,000 TOPS
20,000 TOPS sparse
1,008 TOPS
2,015 TOPS sparse

FLOPS by Precision

What actually differs

The RTX PRO 6000 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 GB200 against the RTX PRO 6000 Blackwell: FP64 80 vs 2 TFLOPS, FP32 160 vs 126 TFLOPS, FP16 5,000 vs 504 TFLOPS, FP8 10,000 vs 1,008 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.

Memory is 372 GB against 96 GB, fed at 16.0 TB/s versus 1.8 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 RTX PRO 6000 Blackwell?

At FP8 precision the GB200 reaches 10,000 TFLOPS dense against 1,008 TFLOPS for the RTX PRO 6000 Blackwell. The performance table on this page lists every published precision for both GPUs.

Which has more memory, the GB200 or the RTX PRO 6000 Blackwell?

The GB200 carries 372 GB of memory versus 96 GB for the RTX PRO 6000 Blackwell. Memory bandwidth is 16.0 TB/s for the GB200 and 1.8 TB/s for the RTX PRO 6000 Blackwell.

Can I rent the GB200 or the RTX PRO 6000 Blackwell in the cloud?

Yes. Live cloud listings tracked by Flopper start at $0.92 per GPU hour. The rental pricing section on this page lists current providers and rates for both GPUs.

Where to Rent

NVIDIA RTX PRO 6000 Blackwell Workstation Edition

ProviderConfigurationPrice/GPU-hrChecked
DataCrunch
1× RTX PRO 6000 Blackwell Workstation Edition Spot $0.92 just now View →
Nebius
1× RTX PRO 6000 Blackwell Workstation Edition Spot $0.95 just now View →
Vast.ai
1× RTX PRO 6000 Blackwell Workstation Edition Community $1.20 just now View →
RunPod
1× RTX PRO 6000 Blackwell Workstation Edition Community $1.69 just now View →
Nebius
1× RTX PRO 6000 Blackwell Workstation Edition $1.80 just now View →
DataCrunch
1× RTX PRO 6000 Blackwell Workstation Edition $1.84 just now View →
RunPod
1× RTX PRO 6000 Blackwell Workstation Edition $2.19 just now View →
Massed Compute
1× RTX PRO 6000 Blackwell Workstation Edition $2.19 just now View →
AceCloud
1× RTX PRO 6000 Blackwell Workstation Edition $2.19 just now View →
Latitude.sh
8× RTX PRO 6000 Blackwell Workstation Edition $3.41 just now View →
Oracle Cloud (OCI)
1× RTX PRO 6000 Blackwell Workstation Edition $4.50 just now View →
All RTX PRO 6000 Blackwell listings and price history →

Get Comparison Updates

New GPUs added weekly. Be the first to see how they compare.