Specifications Compared
| Spec | GH200 | V100 |
|---|---|---|
| TDP | 900W | 300W |
| VRAM | 96 GB | 16-32 GB |
| CUDA Cores | 16,896 | 5,120 |
| FP8 (dense) | 1,979 TFLOPS | Not published |
| Memory Type | HBM3 | HBM2 |
| Architecture | Hopper | Volta |
| FP16 (dense) | 989 TFLOPS | 125 TFLOPS |
| Form Factors | SXM | SXM2, PCIe |
| INT8 (dense) | 1,979 TOPS | Not published |
| Interconnect | NVLink-C2C, PCIe 5.0 | NVLink, PCIe 3.0 |
| Tensor Cores | 528 | 640 |
| FP32 Performance | 67 TFLOPS | 15.7 TFLOPS |
| FP64 Performance | 34 TFLOPS | 7.8 TFLOPS |
| Memory Bandwidth | 4,000 GB/s | 900 GB/s |
| FP8 (with sparsity) | 3,958 TFLOPS | Not published |
| FP16 (with sparsity) | 1,979 TFLOPS | Not published |
| INT8 (with sparsity) | 3,958 TOPS | Not published |
Performance Analysis
Dense FP16 performance reaches 989 TFLOPS on the GH200 against 125 TFLOPS on the V100 so training workloads that rely on dense FP16 finish faster on the newer GPU. The same pattern holds for sparse FP16 where the GH200 reaches 1979 TFLOPS compared with the V100 figure that remains lower. Memory bandwidth of 4000 GB/s on the GH200 versus 900 GB/s on the V100 permits larger batch sizes during both training and inference before memory capacity limits are reached. FP32 throughput at 67 TFLOPS versus 15.7 TFLOPS further widens the gap for scientific kernels that stay in single precision.
Current On-Demand Offers
Cheapest secure on-demand offer per provider that is reported in stock right now, per GPU per hour; multi-GPU instances show the whole-instance price alongside. Deploy opens the DeployGPU console for providers on the platform, otherwise the provider's own site. Stock is rechecked every minute.
GH200
GH200 is not offered on-demand by any provider we track right now. See the GH200 rental page for last-seen listed prices and a price alert.
V100
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| VERDA | FIN-HEL | 2 | $0.22 | $0.45 | Deploy |
| Ori | lille-3 | 1 | $0.83 | — | Deploy |
| Paperspace | ca1 | 1 | $2.30 | — | Deploy |
3 providers in stock, 73 offers (cheapest per provider shown). All V100 offers, price history and alerts
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QuantaCloud
Comparing H-series providers? We broker across all of them.
Hopper stock changes by the hour and prices differ by provider. If you need 16+ GPUs reserved or a cluster in the next 90 days, we quote H-series or B300 inventory at partner rates: one quote, 24h turnaround.
When to Choose the GH200
The GH200 suits LLM training jobs that require 96 GB HBM3 and 4000 GB/s bandwidth to hold large models and maintain high throughput. Dense FP16 at 989 TFLOPS and FP8 at 1979 TFLOPS accelerate both training and inference phases on modern frameworks.
When to Choose the V100
The V100 fits smaller inference tasks or legacy code bases that run within 16-32 GB HBM2 and do not need the higher TDP of 900W. Its 300W envelope and NVLink interconnect remain adequate for established scientific codes that use 15.7 TFLOPS FP32.
Use Cases
The GH200 supplies 96 GB HBM3 and 989 TFLOPS dense FP16 that accommodate large models and accelerate gradient updates beyond the V100 limits.
FP8 dense performance at 1979 TFLOPS and 4000 GB/s bandwidth on the GH200 support higher token throughput than the V100 configuration.
Memory capacity of 96 GB on the GH200 allows full parameter updates without the swapping required on the 16-32 GB V100.
Both GPUs handle diffusion workloads yet the GH200 finishes faster while the V100 suffices for smaller batch sizes at lower power.
FP32 throughput of 67 TFLOPS combined with 4000 GB/s bandwidth on the GH200 speeds matrix operations compared with 15.7 TFLOPS on the V100.
Frequently Asked Questions
What is the memory bandwidth difference between these GPUs?▾
The GH200 reaches 4000 GB/s whereas the V100 reaches 900 GB/s allowing the GH200 to feed compute units more rapidly during dense operations.
Which GPU offers higher dense FP16 performance?▾
The GH200 delivers 989 TFLOPS dense FP16 while the V100 delivers 125 TFLOPS dense FP16 resulting in shorter training runs on the GH200.
How does TDP affect deployment choices for the GH200 versus the V100?▾
The GH200 TDP is 900W and the V100 TDP is 300W so clusters using the V100 consume less power per socket when workload scale fits within its memory limits.
Can the V100 run modern FP8 workloads?▾
The V100 does not publish FP8 figures while the GH200 supplies 1979 TFLOPS dense FP8 so current low precision inference stacks target the GH200.
What interconnect options exist on each GPU?▾
The GH200 uses NVLink-C2C and PCIe 5.0 while the V100 uses NVLink and PCIe 3.0 therefore multi GPU scaling bandwidth favors the GH200.
Which is cheaper to rent, the GH200 or the V100?▾
Cloud rental prices for both the GH200 and V100 vary by provider, configuration, and availability. This page shows live pricing from 25+ providers updated every 60 seconds. Scroll to the Live Cloud Pricing section to compare current rates.
How much VRAM does the GH200 have compared to the V100?▾
The GH200 has 96 GB of HBM3 memory. The V100 has 16 to 32 GB of HBM2 memory.
Can I find GH200 and V100 GPUs available to rent right now?▾
Yes. This page shows real-time availability across 25+ cloud GPU providers. The Live Cloud Pricing section displays only in-stock offers with current pricing.
What is the main difference between the GH200 and the V100?▾
The GH200 uses the Hopper architecture (2023) while the V100 uses Volta (2017). The GH200 delivers 7.9x the dense FP16 throughput (989 vs 125 TFLOPS, both without sparsity) and 4.4x the memory bandwidth of the V100.
Rent these GPUs
Each GPU page lists every current on-demand offer by provider, per GPU-hour, updated every minute.
Related comparisons
How this page is made
- Specifications come from the NVIDIA, AMD and Intel datasheets for the GH200 and the V100. Dense and sparse throughput are listed separately.
- Prices and availability are live: every offer shown is an in-stock, on-demand listing from a provider we track, rechecked every minute.
- The written comparison (overview, performance notes, when to choose each card, verdict, use cases and FAQ) was drafted with an AI model from the specification table above and passed an automated check that rejects any figure not in that table. It was last generated on . It contains no prices; those are always read live.
- Read how we collect the data, or report an error on this page.
Next steps
- Rent GH200 Grace HopperEvery current offer by provider, daily price history and a price alert.
- Rent V100Every current offer by provider, daily price history and a price alert.
- GPU price indexHow on-demand prices for the major GPUs have moved, updated daily.
- All GPUsEvery GPU we track, with current lows and provider counts.