Specifications Compared
| Spec | H100 | RTX 4070 |
|---|---|---|
| TDP | 700W | 200W |
| VRAM | 80-94 GB | 12-16 GB |
| CUDA Cores | 16,896 | 5,888 |
| FP8 (dense) | 1,979 TFLOPS | 116.6 TFLOPS |
| Memory Type | HBM3 | GDDR6X |
| Architecture | Hopper | Ada Lovelace |
| FP16 (dense) | 989 TFLOPS | 58.3 TFLOPS |
| Form Factors | SXM5, PCIe, NVL | PCIe |
| INT8 (dense) | 1,979 TOPS | 233.2 TOPS |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | PCIe 4.0 |
| Tensor Cores | 528 | 184 |
| FP32 Performance | 67 TFLOPS | 29.1 TFLOPS |
| FP64 Performance | 34 TFLOPS | Not published |
| Memory Bandwidth | 3,350 GB/s | 504 GB/s |
| FP8 (with sparsity) | 3,958 TFLOPS | 233.2 TFLOPS |
| FP16 (with sparsity) | 1,979 TFLOPS | 116.6 TFLOPS |
| INT8 (with sparsity) | 3,958 TOPS | 466.4 TOPS |
Performance Analysis
The FP16 to FP32 performance delta reaches 989 TFLOPS dense FP16 versus 67 TFLOPS FP32 on the H100 while the RTX 4070 shows 58.3 TFLOPS dense FP16 versus 29.1 TFLOPS FP32. This ratio indicates greater acceleration potential for mixed precision workloads on the H100 during both training and inference phases. Memory bandwidth of 3350 GB/s on the H100 compared with 504 GB/s on the RTX 4070 directly influences sustainable batch sizes with larger batches feasible on the H100 before bandwidth saturation occurs. Dense FP16 figures must be compared only against other dense FP16 figures and sparse against sparse to maintain accuracy in projections.
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 |
| Hyperstack | CANADA-1 | 8 | $2.60 | $20.80 | Deploy |
| Massed Compute | us-central-3 | 1 | $2.73 | — | Deploy |
| Ori | dallas-2 | 4 | $2.90 | $11.60 | Deploy |
| Lambda Labs | us-west-3 | 1 | $3.29 | — | Deploy |
8 providers in stock, 18 offers (cheapest per provider shown). All H100 offers, price history and alerts
RTX 4070
RTX 4070 is not offered on-demand by any provider we track right now. See the RTX 4070 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: $2.59/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 scenarios that require 80 to 94 GB of HBM3 memory and 3350 GB/s bandwidth for handling large scale models. Its 989 TFLOPS dense FP16 rating and support for NVLink interconnect further enable efficient multi GPU scaling in demanding environments.
When to Choose the RTX 4070
The RTX 4070 fits workloads constrained to 200W TDP and 12 to 16 GB of GDDR6X memory where 58.3 TFLOPS dense FP16 suffices. Its PCIe 4.0 interconnect and lower power draw align with compact systems focused on lighter inference or development tasks.
Use Cases
The H100 delivers 989 TFLOPS dense FP16 and 80 to 94 GB memory which exceed the RTX 4070 ratings for large model training.
The H100 provides 1979 TFLOPS FP8 with sparsity and higher bandwidth of 3350 GB/s enabling larger batch inference than the RTX 4070.
The H100 3350 GB/s bandwidth and 989 TFLOPS dense FP16 support efficient fine tuning of sizable models compared to 504 GB/s on the RTX 4070.
The RTX 4070 200W TDP and 58.3 TFLOPS dense FP16 meet requirements for image generation without excess power or memory overhead.
The H100 67 TFLOPS FP32 and 700W TDP configuration handles intensive scientific simulations beyond the RTX 4070 29.1 TFLOPS FP32 limit.
Frequently Asked Questions
What is the FP16 performance difference between H100 and RTX 4070?▾
The H100 achieves 989 TFLOPS dense FP16 compared to 58.3 TFLOPS dense FP16 on the RTX 4070 for a ratio near 17 times higher on the H100.
Which GPU has higher memory bandwidth?▾
The H100 reaches 3350 GB/s bandwidth whereas the RTX 4070 reaches 504 GB/s allowing greater data throughput on the H100.
How do the TDP values differ for H100 and RTX 4070?▾
The H100 lists 700W TDP while the RTX 4070 lists 200W TDP indicating higher power requirements for the H100.
Does the H100 support NVLink?▾
The H100 includes NVLink interconnect support in addition to PCIe 5.0 and InfiniBand while the RTX 4070 uses only PCIe 4.0.
What FP32 performance do these GPUs provide?▾
The H100 provides 67 TFLOPS FP32 and the RTX 4070 provides 29.1 TFLOPS FP32 for compute intensive floating point tasks.
Which is cheaper to rent, the H100 or the RTX 4070?▾
Cloud rental prices for both the H100 and RTX 4070 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 4070?▾
The H100 has 80 to 94 GB of HBM3 memory. The RTX 4070 has 12 to 16 GB of GDDR6X memory.
Can I find H100 and RTX 4070 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 4070?▾
The H100 uses the Hopper architecture (2022) while the RTX 4070 uses Ada Lovelace (2023). The H100 delivers 17.0x the dense FP16 throughput (989 vs 58.3 TFLOPS, both without sparsity) and 6.6x the memory bandwidth of the RTX 4070.
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 4070. 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 4070Every 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.