Specifications Compared
| Spec | H100 | Quadro RTX 8000 |
|---|---|---|
| TDP | 700W | 260W |
| VRAM | 80-94 GB | 48 GB |
| CUDA Cores | 16,896 | 4,608 |
| FP8 (dense) | 1,979 TFLOPS | Not published |
| Memory Type | HBM3 | GDDR6 |
| Architecture | Hopper | Turing |
| FP16 (dense) | 989 TFLOPS | 130.5 TFLOPS |
| Form Factors | SXM5, PCIe, NVL | PCIe |
| INT8 (dense) | 1,979 TOPS | Not published |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | NVLink, PCIe 3.0 |
| Tensor Cores | 528 | 576 |
| FP32 Performance | 67 TFLOPS | 16.3 TFLOPS |
| FP64 Performance | 34 TFLOPS | Not published |
| Memory Bandwidth | 3,350 GB/s | 672 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 of 989 TFLOPS on the H100 compared with 130.5 TFLOPS on the Quadro RTX 8000 shows that matrix multiplications complete more than seven times faster on the H100 during both training and inference passes. The FP32 rating of 67 TFLOPS versus 16.3 TFLOPS further widens the advantage for precision sensitive scientific workloads. Memory bandwidth of 3350 GB/s on the H100 against 672 GB/s on the Quadro RTX 8000 permits larger batch sizes before data movement limits throughput. When sparsity is applied the H100 reaches 1979 TFLOPS in FP16 with sparsity while the Quadro RTX 8000 remains limited to its published dense FP16 value of 130.5 TFLOPS.
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.
H100
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| Hyperstack | CANADA-1 | 1 | $2.50 | — | Deploy |
| QuantaCloud | us-midwest-2 | 2 | $2.59 | $5.18 | Deploy |
| Massed Compute | us-central-3 | 1 | $2.73 | — | Deploy |
| Ori | dallas-2 | 2 | $2.90 | $5.80 | Deploy |
| RunPod | global | 1 | $3.19 | — | Deploy |
10 providers in stock, 25 offers (cheapest per provider shown). All H100 offers, price history and alerts
Quadro RTX 8000
Quadro RTX 8000 is not offered on-demand by any provider we track right now. See the Quadro RTX 8000 rental page for last-seen listed prices and a price alert.
Notify me when H100 drops below a price
One email when the cheapest in-stock on-demand price per GPU-hour falls below your threshold. Cheapest right now: $2.50/GPU-hr.
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 H100
The H100 suits large model training and inference because its 989 TFLOPS dense FP16 rating and 3350 GB/s bandwidth exceed the Quadro RTX 8000 by wide margins. Its 80 GB HBM3 capacity and support for PCIe 5.0 plus InfiniBand also enable scaling across multiple units in NVLink clusters where the Quadro RTX 8000 cannot match throughput.
When to Choose the Quadro RTX 8000
The Quadro RTX 8000 fits power constrained environments that require only 260W TDP and modest VRAM of 48 GB GDDR6. Its PCIe form factor and 16.3 TFLOPS FP32 rating remain adequate for legacy applications that do not demand the 989 TFLOPS dense FP16 or 3350 GB/s bandwidth of the H100.
Use Cases
The H100 supplies 989 TFLOPS dense FP16 together with 80 GB HBM3 that together exceed the 130.5 TFLOPS and 48 GB GDDR6 of the Quadro RTX 8000.
The H100 achieves 989 TFLOPS dense FP16 and 3350 GB/s bandwidth that support larger batch sizes than the 130.5 TFLOPS and 672 GB/s of the Quadro RTX 8000.
The H100 provides 989 TFLOPS dense FP16 and 1979 TFLOPS FP16 with sparsity that accelerate adaptation steps beyond the dense 130.5 TFLOPS limit of the Quadro RTX 8000.
The Quadro RTX 8000 delivers sufficient 48 GB GDDR6 and 130.5 TFLOPS dense FP16 for many diffusion workloads at lower 260W TDP than the H100.
The H100 offers 67 TFLOPS FP32 that surpass the 16.3 TFLOPS FP32 of the Quadro RTX 8000 for precision heavy simulations.
Frequently Asked Questions
What is the memory bandwidth of the H100 versus the Quadro RTX 8000?▾
The H100 reaches 3350 GB/s while the Quadro RTX 8000 reaches 672 GB/s. Higher bandwidth on the H100 reduces stalls when moving large tensors between memory and compute units.
Which GPU has higher dense FP16 performance?▾
The H100 reaches 989 TFLOPS in dense FP16 while the Quadro RTX 8000 reaches 130.5 TFLOPS in dense FP16. The gap determines relative speed for half precision matrix operations.
How does TDP differ between the H100 and Quadro RTX 8000?▾
The H100 lists 700W TDP and the Quadro RTX 8000 lists 260W TDP. Lower power draw on the Quadro RTX 8000 suits installations with strict thermal or electrical limits.
Does the H100 support higher speed interconnects than the Quadro RTX 8000?▾
The H100 supports PCIe 5.0 and InfiniBand in addition to NVLink while the Quadro RTX 8000 supports PCIe 3.0 and NVLink. Faster interconnects on the H100 improve multi GPU scaling.
Which is cheaper to rent, the H100 or the Quadro RTX 8000?▾
Cloud rental prices for both the H100 and Quadro RTX 8000 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 H100 have compared to the Quadro RTX 8000?▾
The H100 has 80 to 94 GB of HBM3 memory. The Quadro RTX 8000 has 48 GB of GDDR6 memory.
Can I find H100 and Quadro RTX 8000 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 H100 and the Quadro RTX 8000?▾
The H100 uses the Hopper architecture (2022) while the Quadro RTX 8000 uses Turing (2018). The H100 delivers 7.6x the dense FP16 throughput (989 vs 130.5 TFLOPS, both without sparsity) and 5.0x the memory bandwidth of the Quadro RTX 8000.
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 H100 and the Quadro RTX 8000. 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 H100Every current offer by provider, daily price history and a price alert.
- Rent QUADRO RTX 8000Every 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.