Specifications Compared
| Spec | A10 | RTX 3070 |
|---|---|---|
| TDP | 150W | 220W |
| VRAM | 24 GB | 8 GB |
| CUDA Cores | 9,216 | 5,888 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ampere | Ampere |
| FP16 (dense) | 125 TFLOPS | 40.6 TFLOPS |
| Form Factors | PCIe | PCIe |
| INT8 (dense) | 250 TOPS | 162.6 TOPS |
| Interconnect | PCIe 4.0 | PCIe 4.0 |
| Tensor Cores | 288 | 184 |
| FP32 Performance | 31.2 TFLOPS | 20.3 TFLOPS |
| Memory Bandwidth | 600 GB/s | 448 GB/s |
| FP16 (with sparsity) | 250 TFLOPS | 81.3 TFLOPS |
| INT8 (with sparsity) | 500 TOPS | 325.2 TOPS |
Performance Analysis
Dense FP16 performance reaches 125 TFLOPS on the A10 compared with 40.6 TFLOPS on the RTX 3070 while sparse FP16 performance reaches 250 TFLOPS on the A10 compared with 81.3 TFLOPS on the RTX 3070. The threefold advantage in dense FP16 allows the A10 to complete matrix operations for training and inference in fewer cycles when sparsity is unavailable. Memory bandwidth of 600 GB/s on the A10 versus 448 GB/s on the RTX 3070 supports larger batch sizes before data movement becomes the limiter during both training and inference passes.
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.
A10
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| LeaderGPU | The Netherlands | 10 | $0.37 | $3.71 | Deploy |
| Lambda Labs | us-west-1 | 1 | $1.29 | — | Deploy |
2 providers in stock, 3 offers (cheapest per provider shown). All A10 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 A10 drops below a price
One email when the cheapest in-stock on-demand price per GPU-hour falls below your threshold. Cheapest right now: $0.37/GPU-hr.
QuantaCloud
Comparing providers? We broker across all of them.
Stop tab-switching between pricing pages. Tell us what you need, 16+ GPUs reserved or cluster capacity, and we return one quote at partner rates within 24 hours.
When to Choose the A10
The A10 suits sustained inference workloads that require the full 24 GB of GDDR6 memory and the 150 W TDP rating. Its 600 GB/s bandwidth further enables larger batch processing than the 448 GB/s bandwidth of the RTX 3070 when FP32 throughput of 31.2 TFLOPS is needed.
When to Choose the RTX 3070
The RTX 3070 suits lighter inference tasks where the 8 GB of GDDR6 memory is sufficient and the 220 W TDP rating remains acceptable. Its dense INT8 rating of 162.6 TOPS still delivers usable throughput for smaller models that fit within the available memory.
Use Cases
The A10 supplies 24 GB of memory and 31.2 TFLOPS FP32 compared with 8 GB and 20.3 TFLOPS on the RTX 3070.
The A10 delivers 125 TFLOPS dense FP16 and 600 GB/s bandwidth versus 40.6 TFLOPS dense FP16 and 448 GB/s on the RTX 3070.
The A10 provides 250 TOPS dense INT8 together with 24 GB memory while the RTX 3070 provides 162.6 TOPS dense INT8 and 8 GB memory.
The RTX 3070 TDP of 220 W and 8 GB memory suffice for typical diffusion workloads that do not require the higher 24 GB capacity of the A10.
The A10 FP32 rating of 31.2 TFLOPS exceeds the 20.3 TFLOPS rating of the RTX 3070 while its 150 W TDP remains lower.
Frequently Asked Questions
What is the FP32 performance difference between the A10 and the RTX 3070?▾
The A10 achieves 31.2 TFLOPS FP32 while the RTX 3070 achieves 20.3 TFLOPS FP32.
How do the dense FP16 ratings compare?▾
The A10 reaches 125 TFLOPS dense FP16 while the RTX 3070 reaches 40.6 TFLOPS dense FP16.
What TDP values are listed for each card?▾
The A10 lists a TDP of 150 W while the RTX 3070 lists a TDP of 220 W.
Do both GPUs use the same interconnect?▾
Both the A10 and the RTX 3070 use PCIe 4.0 interconnect.
Which is cheaper to rent, the A10 or the RTX 3070?▾
Cloud rental prices for both the A10 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 A10 have compared to the RTX 3070?▾
The A10 has 24 GB of GDDR6 memory. The RTX 3070 has 8 GB of GDDR6 memory.
Can I find A10 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 A10 and the RTX 3070?▾
The A10 uses the Ampere architecture (2021) while the RTX 3070 uses Ampere (2020). The A10 delivers 3.1x the dense FP16 throughput (125 vs 40.6 TFLOPS, both without sparsity) and 1.3x 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 A10 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 A10Every 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.