Specifications Compared
| Spec | A100 | RTX 3070 |
|---|---|---|
| TDP | 400W | 220W |
| VRAM | 40-80 GB | 8 GB |
| CUDA Cores | 6,912 | 5,888 |
| Memory Type | HBM2e | GDDR6 |
| Architecture | Ampere | Ampere |
| FP16 (dense) | 312 TFLOPS | 40.6 TFLOPS |
| Form Factors | SXM4, PCIe | PCIe |
| INT8 (dense) | 624 TOPS | 162.6 TOPS |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | PCIe 4.0 |
| Tensor Cores | 432 | 184 |
| FP32 Performance | 19.5 TFLOPS | 20.3 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | Not published |
| Memory Bandwidth | 2,039 GB/s | 448 GB/s |
| FP16 (with sparsity) | 624 TFLOPS | 81.3 TFLOPS |
| INT8 (with sparsity) | 1,248 TOPS | 325.2 TOPS |
Performance Analysis
Dense FP16 throughput on the A100 measures 312 TFLOPS against 40.6 TFLOPS on the RTX 3070 so the A100 supplies roughly eight times the dense FP16 rate. The same ratio holds when sparsity is applied because the A100 reaches 624 TFLOPS with sparsity while the RTX 3070 reaches 81.3 TFLOPS with sparsity. FP32 figures remain nearly identical at 19.5 TFLOPS for the A100 and 20.3 TFLOPS for the RTX 3070 therefore mixed precision training gains appear almost exclusively on the A100. Memory bandwidth of 2039 GB/s versus 448 GB/s allows the A100 to sustain larger batch sizes during training and inference before memory stalls occur. INT8 dense throughput follows the same pattern with 624 TOPS on the A100 against 162.6 TOPS on the RTX 3070.
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.
A100
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| LeaderGPU | The Netherlands | 8 | $0.68 | $5.42 | Deploy |
| Vast.ai | Czechia, CZ | 1 | $0.73 | — | Deploy |
| ThunderCompute | USA | 1 | $1.09 | — | Deploy |
| Hyperstack | CANADA-1 | 1 | $1.35 | — | Deploy |
| Massed Compute | us-central-2 | 1 | $1.38 | — | Deploy |
10 providers in stock, 33 offers (cheapest per provider shown). All A100 offers, price history and alerts
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.
Notify me when A100 drops below a price
One email when the cheapest in-stock on-demand price per GPU-hour falls below your threshold. Cheapest right now: $0.68/GPU-hr.
QuantaCloud
Comparing A100 providers? We broker across all of them.
Need 16+ A100s reserved for fine-tuning, simulation, or production inference? We quote volume pricing across multiple data center partners: one quote at partner rates, 24h turnaround.
When to Choose the A100
The A100 suits large scale LLM training because its 40 GB to 80 GB HBM2e capacity and 2039 GB/s bandwidth accommodate models that exceed 8 GB. Dense FP16 performance of 312 TFLOPS combined with NVLink interconnect supports multi GPU scaling for scientific computing workloads that rely on the 19.5 TFLOPS FP32 rating.
When to Choose the RTX 3070
The RTX 3070 fits single user inference tasks where 8 GB GDDR6 memory suffices and the 220 W TDP reduces electricity draw. Its 20.3 TFLOPS FP32 rating matches the A100 closely enough for workloads that do not require tensor core acceleration beyond the 40.6 TFLOPS dense FP16 figure.
Use Cases
The A100 supplies 312 TFLOPS dense FP16 and up to 80 GB HBM2e memory that the RTX 3070 cannot match.
The A100 delivers 624 TOPS INT8 with sparsity and 2039 GB/s bandwidth for sustained large batch inference.
The A100 40 GB to 80 GB memory and 312 TFLOPS dense FP16 support fine tuning of models larger than 8 GB.
The RTX 3070 20.3 TFLOPS FP32 rating and 220 W TDP suffice for consumer scale image generation workloads.
The A100 19.5 TFLOPS FP32 and NVLink interconnect enable multi GPU scientific simulations.
Frequently Asked Questions
What is the memory difference between A100 and RTX 3070?▾
The A100 provides 40 GB to 80 GB HBM2e memory while the RTX 3070 provides 8 GB GDDR6 memory. Bandwidth also differs at 2039 GB/s versus 448 GB/s.
How does FP16 performance compare on A100 versus RTX 3070?▾
Dense FP16 reaches 312 TFLOPS on the A100 and 40.6 TFLOPS on the RTX 3070. With sparsity the figures become 624 TFLOPS and 81.3 TFLOPS respectively.
What TDP values apply to each GPU?▾
The A100 TDP is 400 W and the RTX 3070 TDP is 220 W. These values affect power and cooling requirements directly.
Which GPU offers higher INT8 throughput?▾
The A100 reaches 624 TOPS INT8 dense and 1248 TOPS with sparsity. The RTX 3070 reaches 162.6 TOPS dense and 325.2 TOPS with sparsity.
Can the RTX 3070 match A100 FP32 performance?▾
FP32 performance stands at 19.5 TFLOPS on the A100 and 20.3 TFLOPS on the RTX 3070 so the two GPUs remain comparable in pure FP32 workloads.
Which is cheaper to rent, the A100 or the RTX 3070?▾
Cloud rental prices for both the A100 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 A100 have compared to the RTX 3070?▾
The A100 has 40 to 80 GB of HBM2e memory. The RTX 3070 has 8 GB of GDDR6 memory.
Can I find A100 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 A100 and the RTX 3070?▾
The A100 uses the Ampere architecture (2020) while the RTX 3070 uses Ampere (2020). The A100 delivers 7.7x the dense FP16 throughput (312 vs 40.6 TFLOPS, both without sparsity) and 4.6x 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 A100 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 A100Every 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.