Specifications Compared
| Spec | H100 | RTX 6000 Ada |
|---|---|---|
| TDP | 700W | 300W |
| VRAM | 80-94 GB | 48 GB |
| CUDA Cores | 16,896 | 18,176 |
| FP8 (dense) | 1,979 TFLOPS | 728.5 TFLOPS |
| Memory Type | HBM3 | GDDR6 |
| Architecture | Hopper | Ada Lovelace |
| FP16 (dense) | 989 TFLOPS | 364 TFLOPS |
| Form Factors | SXM5, PCIe, NVL | PCIe |
| INT8 (dense) | 1,979 TOPS | 728.5 TOPS |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | PCIe 4.0 |
| Tensor Cores | 528 | 568 |
| FP32 Performance | 67 TFLOPS | 91.1 TFLOPS |
| FP64 Performance | 34 TFLOPS | Not published |
| Memory Bandwidth | 3,350 GB/s | 960 GB/s |
| FP8 (with sparsity) | 3,958 TFLOPS | 1,457 TFLOPS |
| FP16 (with sparsity) | 1,979 TFLOPS | 728 TFLOPS |
| INT8 (with sparsity) | 3,958 TOPS | 1,457 TOPS |
Performance Analysis
Dense FP16 performance reaches 989 TFLOPS on the H100 and 364 TFLOPS on the RTX 6000 Ada, so the H100 supplies 2.7 times the dense FP16 throughput for training or inference steps that rely on that precision. With sparsity the H100 reaches 1979 TFLOPS dense FP16 equivalent while the RTX 6000 Ada reaches 728 TFLOPS, preserving the same ratio. FP32 performance reverses the pattern because the RTX 6000 Ada delivers 91.1 TFLOPS against 67 TFLOPS on the H100, favoring the RTX 6000 Ada in workloads that stay in single precision. Memory bandwidth of 3350 GB per second on the H100 versus 960 GB per second on the RTX 6000 Ada permits larger batch sizes before the H100 saturates, directly extending the number of tokens or samples processed per iteration in memory bound phases.
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 |
|---|---|---|---|---|---|
| QuantaCloud | us-midwest-2 | 1 | $2.59 | — | Deploy |
| Massed Compute | us-central-3 | 1 | $2.73 | — | Deploy |
| RunPod | global | 1 | $2.89 | — | Deploy |
| Ori | dallas-2 | 4 | $2.90 | $11.60 | Deploy |
| Scaleway | Paris, France (PAR2) | 1 | $3.23 | — | Deploy |
7 providers in stock, 17 offers (cheapest per provider shown). All H100 offers, price history and alerts
RTX 6000 Ada
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| QuantaCloud | us-midwest-1 | 4 | $0.78 | $3.11 | Deploy |
| Massed Compute | us-central-2 | 2 | $0.79 | $1.58 | Deploy |
| LeaderGPU | The Netherlands | 8 | $0.91 | $7.29 | Deploy |
| RunPod | global | 1 | $0.99 | — | Deploy |
| VERDA | FIN-HEL | 1 | $1.34 | — | Deploy |
5 providers in stock, 16 offers (cheapest per provider shown). All RTX 6000 Ada offers, price history and alerts
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: $2.59/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 scale LLM training because its 80 to 94 GB HBM3 capacity and 3350 GB per second bandwidth accommodate models that exceed 48 GB. Dense FP8 throughput of 1979 TFLOPS on the H100 further accelerates inference pipelines that quantize to that format while the 700 W TDP remains acceptable in rack scale clusters.
When to Choose the RTX 6000 Ada
The RTX 6000 Ada suits FP32 dominant scientific computing because its 91.1 TFLOPS FP32 rating exceeds the 67 TFLOPS of the H100. Its 300 W TDP also fits single node workstations where power limits preclude 700 W cards and where 48 GB GDDR6 suffices for the working set.
Use Cases
The H100 supplies 989 TFLOPS dense FP16 and 3350 GB per second bandwidth that support larger models and batches than the 364 TFLOPS and 960 GB per second of the RTX 6000 Ada.
Dense FP8 performance of 1979 TFLOPS on the H100 accelerates quantized inference while its memory capacity holds larger context windows than the 48 GB limit of the RTX 6000 Ada.
The H100 1979 TFLOPS dense FP16 rating and higher bandwidth enable faster gradient updates on large parameter sets compared with the RTX 6000 Ada.
Both cards handle diffusion workloads yet the RTX 6000 Ada 91.1 TFLOPS FP32 may benefit precision sensitive image pipelines while the H100 favors throughput oriented batches.
The RTX 6000 Ada 91.1 TFLOPS FP32 rating exceeds the 67 TFLOPS of the H100, suiting single precision simulations within its 300 W power envelope.
Frequently Asked Questions
What is the memory difference between H100 and RTX 6000 Ada?▾
The H100 provides 80 to 94 GB HBM3 while the RTX 6000 Ada provides 48 GB GDDR6. This capacity gap determines maximum model size before offloading occurs.
How does FP16 performance compare on these GPUs?▾
Dense FP16 reaches 989 TFLOPS on the H100 and 364 TFLOPS on the RTX 6000 Ada. Sparse FP16 reaches 1979 TFLOPS on the H100 and 728 TFLOPS on the RTX 6000 Ada.
Which GPU has higher FP32 throughput?▾
The RTX 6000 Ada lists 91.1 TFLOPS FP32 while the H100 lists 67 TFLOPS FP32. Workloads that remain in single precision therefore favor the RTX 6000 Ada.
What TDP values apply to each card?▾
The H100 TDP is 700 W and the RTX 6000 Ada TDP is 300 W. Power constrained environments must account for this four hundred watt spread.
Do both GPUs support NVLink?▾
Only the H100 lists NVLink interconnect support. The RTX 6000 Ada relies on PCIe 4.0 without NVLink.
Which architecture generation do these GPUs belong to?▾
The H100 uses Hopper architecture released in 2022. The RTX 6000 Ada uses Ada Lovelace architecture also released in 2022.
Which is cheaper to rent, the H100 or the RTX 6000 Ada?▾
Cloud rental prices for both the H100 and RTX 6000 Ada 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 RTX 6000 Ada?▾
The H100 has 80 to 94 GB of HBM3 memory. The RTX 6000 Ada has 48 GB of GDDR6 memory.
Can I find H100 and RTX 6000 Ada 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 RTX 6000 Ada?▾
The H100 uses the Hopper architecture (2022) while the RTX 6000 Ada uses Ada Lovelace (2022). The H100 delivers 2.7x the dense FP16 throughput (989 vs 364 TFLOPS, both without sparsity) and 3.5x the memory bandwidth of the RTX 6000 Ada.
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 RTX 6000 Ada. 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 RTX 6000 ADAEvery 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.