Specifications Compared
| Spec | GH200 | RTX 3070 |
|---|---|---|
| TDP | 900W | 220W |
| VRAM | 96 GB | 8 GB |
| CUDA Cores | 16,896 | 5,888 |
| FP8 (dense) | 1,979 TFLOPS | Not published |
| Memory Type | HBM3 | GDDR6 |
| Architecture | Hopper | Ampere |
| FP16 (dense) | 989 TFLOPS | 40.6 TFLOPS |
| Form Factors | SXM | PCIe |
| INT8 (dense) | 1,979 TOPS | 162.6 TOPS |
| Interconnect | NVLink-C2C, PCIe 5.0 | PCIe 4.0 |
| Tensor Cores | 528 | 184 |
| FP32 Performance | 67 TFLOPS | 20.3 TFLOPS |
| FP64 Performance | 34 TFLOPS | Not published |
| Memory Bandwidth | 4,000 GB/s | 448 GB/s |
| FP8 (with sparsity) | 3,958 TFLOPS | Not published |
| FP16 (with sparsity) | 1,979 TFLOPS | 81.3 TFLOPS |
| INT8 (with sparsity) | 3,958 TOPS | 325.2 TOPS |
Performance Analysis
The FP16 dense figure of 989 TFLOPS on the GH200 exceeds the FP16 dense figure of 40.6 TFLOPS on the RTX 3070 by a wide margin and the same pattern holds when sparsity is applied with 1979 TFLOPS versus 81.3 TFLOPS. This gap in dense FP16 and sparse FP16 directly influences training throughput and inference latency for models that fit within the respective memory limits. Memory bandwidth of 4000 GB/s on the GH200 versus 448 GB/s on the RTX 3070 permits larger batch sizes during both training and inference steps before memory capacity of 96 GB versus 8 GB becomes the limiting factor.
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.
RTX 3070
RTX 3070 is not offered on-demand by any provider we track right now. See the RTX 3070 rental page for last-seen listed prices and a price alert.
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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 workloads that require the 96 GB HBM3 capacity and 4000 GB/s bandwidth to accommodate large model states. Its 989 TFLOPS dense FP16 rating and 67 TFLOPS FP32 rating further support scientific computing tasks that scale with those exact performance numbers and the 900W TDP is accepted when maximum throughput per socket is required.
When to Choose the RTX 3070
The RTX 3070 fits workloads that remain within the 8 GB GDDR6 capacity and that benefit from the 220W TDP for lower overall system power draw. Its 40.6 TFLOPS dense FP16 rating and 20.3 TFLOPS FP32 rating remain adequate for smaller inference jobs or consumer graphics applications where the PCIe form factor and 448 GB/s bandwidth suffice.
Use Cases
The 96 GB HBM3 capacity and 989 TFLOPS dense FP16 rating accommodate models that exceed the 8 GB limit of the alternative.
The 4000 GB/s bandwidth and 1979 TFLOPS sparse FP16 rating support higher throughput for large models than the 448 GB/s and 81.3 TFLOPS sparse FP16 rating.
The combination of 96 GB memory and 1979 TOPS dense INT8 rating enables fine-tuning passes that the 8 GB memory and 162.6 TOPS dense INT8 rating cannot sustain.
The 220W TDP and PCIe form factor align with consumer-scale image generation workloads that fit inside 8 GB GDDR6.
The 67 TFLOPS FP32 rating and NVLink-C2C interconnect provide the precision and connectivity needed for simulation codes beyond the 20.3 TFLOPS FP32 rating.
Frequently Asked Questions
What are the FP16 dense ratings for each GPU?▾
The GH200 lists 989 TFLOPS dense FP16 and the RTX 3070 lists 40.6 TFLOPS dense FP16. These numbers set the baseline for training and inference speed comparisons.
Which GPU offers higher memory bandwidth?▾
The GH200 provides 4000 GB/s while the RTX 3070 provides 448 GB/s. Bandwidth directly limits achievable batch sizes during model execution.
What power draw is specified for the GH200 and the RTX 3070?▾
The GH200 carries a 900W TDP and the RTX 3070 carries a 220W TDP. System designers must account for these values when planning power and cooling infrastructure.
Does the GH200 support sparsity in FP8?▾
The GH200 lists 3958 TFLOPS FP8 with sparsity and 1979 TFLOPS FP8 dense. The RTX 3070 does not publish FP8 figures.
What interconnect does each GPU use?▾
The GH200 uses NVLink-C2C and PCIe 5.0 while the RTX 3070 uses PCIe 4.0. These interfaces affect multi-GPU scaling options.
Which is cheaper to rent, the GH200 or the RTX 3070?▾
Cloud rental prices for both the GH200 and RTX 3070 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 RTX 3070?▾
The GH200 has 96 GB of HBM3 memory. The RTX 3070 has 8 GB of GDDR6 memory.
Can I find GH200 and RTX 3070 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 RTX 3070?▾
The GH200 uses the Hopper architecture (2023) while the RTX 3070 uses Ampere (2020). The GH200 delivers 24.4x the dense FP16 throughput (989 vs 40.6 TFLOPS, both without sparsity) and 8.9x the memory bandwidth of the RTX 3070.
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 RTX 3070. 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 RTX 3070Every 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.