GB200 vs V100
Comparing the GB200 and V100 for cloud rental? The GB200 is available from 0 providers starting at —, while the V100 starts at — across 0 providers. Below is a live breakdown of pricing, VRAM, compute throughput, and where to rent each GPU.
GB200 vs V100 at a glance
Spec profile
Each axis is scaled to the stronger GPU — the outer edge is better.
Value for money
Live pricing for both GPUs is needed to compute value-for-money metrics. See the provider tables below for current rates.
Specs are manufacturer peak FP16 Tensor figures; real-world throughput varies by workload, precision, and software stack.
GB200 vs V100 specs & pricing
| Specification | GB200 | V100 |
|---|---|---|
| Cheapest price | — | — |
| VRAM | 192 GB | 32 GB |
| FP16 TFLOPS | 1125 | 125 |
| Memory bandwidth | 8000 GB/s | 900 GB/s |
| Release year | 2024 | 2017 |
| Cloud providers | — | — |
Which should you choose?
- •GB200 has more VRAM (192 GB), so it fits larger models and bigger batch sizes without sharding.
- •GB200 offers higher FP16 throughput, training and serving faster on compute-bound workloads.
Provider availability
Frequently asked questions
How much VRAM do the GB200 and V100 have?
The GB200 has 192 GB of VRAM and the V100 has 32 GB. More VRAM lets you serve larger models and longer context windows on a single GPU.
Which is faster, the GB200 or V100?
On paper the GB200 is faster, with 1125 FP16 TFLOPS versus 125. Real-world speed also depends on memory bandwidth and software stack.
Live prices come from public provider catalogs and can change quickly. How we collect prices.
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