Specifications Compared
| Spec | A10 | RTX-5070 |
|---|---|---|
| TDP | 150W | 250W |
| VRAM | 24 GB | 12 GB |
| CUDA Cores | 9,216 | 6,144 |
| Memory Type | GDDR6 | GDDR7 |
| Architecture | Ampere | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 288 | 192 |
| FP16 Performance | 31.2 TFLOPS | 40.6 TFLOPS |
| FP32 Performance | 31.2 TFLOPS | 40.6 TFLOPS |
| INT8 Performance | 250 TOPS | 650 TOPS |
| Memory Bandwidth | 600 GB/s | 448 GB/s |
Performance Analysis
The RTX 5070 Ti achieves 40.6 TFLOPS in FP16 and FP32, surpassing the A10's 31.2 TFLOPS by 30 percent. This advantage accelerates training and inference for compute-limited tasks, reducing iteration times in model optimization. The Blackwell architecture enhances tensor core efficiency over Ampere, benefiting mixed-precision workflows. However, the A10's 24 GB VRAM supports larger batch sizes than the RTX 5070 Ti's 12 GB, preventing out-of-memory errors in large model handling. Memory bandwidth tells a similar story: 600 GB/s on the A10 versus 448 GB/s enables sustained data throughput for memory-bound operations. Higher TDP at 250 W for the RTX 5070 Ti versus 150 W implies greater power draw, potentially affecting dense cloud scaling. Overall, compute favors the newer GPU, while memory-intensive scenarios prefer the A10.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A10
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 LeaderGPU | 10×NVIDIA A10 24GB VRAM | 24GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.60/GPU/hr $6.00/hr total (10×) | Available | ||
 Vast.ai | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 126GB RAM 5672GB Storage | Slovenia | $0.73/GPU/hr $1.47/hr total (2×) | Available | ||
Vast.ai | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 126GB RAM 769GB Storage | Slovenia | $0.73/GPU/hr $1.47/hr total (2×) | Available | ||
LeaderGPU | 8×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.90/GPU/hr $7.20/hr total (8×) | Available | ||
Vast.ai | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 64 vCPU 126GB RAM 1114GB Storage | Czechia | $1.00/GPU/hr $2.00/hr total (2×) | Available |
When to Choose the A10
Select the A10 for memory-heavy workloads like training large language models exceeding 12 GB VRAM requirements. Its 24 GB capacity and 600 GB/s bandwidth accommodate bigger batches without model sharding. Datacenter tasks with sustained high-throughput data access also benefit from this edge over the RTX 5070 Ti.
When to Choose the RTX 5070 Ti
The RTX 5070 Ti fits budget-conscious inference or fine-tuning of models under 12 GB. Its 40.6 TFLOPS deliver 30 percent faster performance than the A10's 31.2 TFLOPS at one-sixth the average hourly cost of $0.19 versus $1.06. Blackwell features optimize modern AI pipelines for quick prototyping.
Use Cases
The A10's 24 GB VRAM handles large batch sizes critical for training massive models. Its 600 GB/s bandwidth sustains data flow better than the RTX 5070 Ti's 12 GB and 448 GB/s.
RTX 5070 Ti's 40.6 TFLOPS offers 30 percent more compute than A10's 31.2 TFLOPS for faster serving. Lower $0.19 per hour pricing suits high-volume deployments.
Smaller models fit RTX 5070 Ti's 12 GB with superior 40.6 TFLOPS speed. Larger ones need A10's 24 GB VRAM.
RTX 5070 Ti's Blackwell architecture and 40.6 TFLOPS accelerate image generation efficiently. Consumer optimizations pair with $0.10 per hour starting price.
A10's 24 GB VRAM and 600 GB/s bandwidth support complex simulations with large datasets. Lower 150 W TDP aids prolonged runs.
Frequently Asked Questions
Which GPU has more VRAM, A10 or RTX 5070 Ti?▾
The A10 has 24 GB GDDR6 VRAM, double the RTX 5070 Ti's 12 GB GDDR7. This makes the A10 better for memory-intensive tasks. Batch sizes scale accordingly in AI workloads.
What are the FP32 performance differences?▾
RTX 5070 Ti delivers 40.6 TFLOPS FP32, 30 percent above A10's 31.2 TFLOPS. Training and simulations run faster on the newer GPU. FP16 matches this delta at identical rates.
How do cloud prices compare for A10 and RTX 5070 Ti?▾
A10 pricing starts at $0.60 per hour averaging $1.06 across three offers. RTX 5070 Ti begins at $0.10 per hour with $0.19 average over two offers. Cost savings favor the RTX for light use.
Which has higher memory bandwidth?▾
A10 provides 600 GB/s, exceeding RTX 5070 Ti's 448 GB/s by 34 percent. This aids data-heavy inference. Larger models benefit most from the A10.
What are the TDPs of these GPUs?▾
A10 consumes 150 W TDP, more efficient than RTX 5070 Ti's 250 W. Power costs lower for A10 in dense clusters. Performance per watt slightly favors A10 despite lower TFLOPS.
Which architecture is newer?▾
RTX 5070 Ti uses Blackwell from 2025, advancing beyond A10's Ampere of 2021. Tensor improvements boost AI tasks. Both support PCIe interconnects.
Which is cheaper to rent, the A10 or the RTX 5070?▾
Cloud rental prices for both the A10 and RTX 5070 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 5070?▾
The A10 has 24 GB of GDDR6 memory. The RTX 5070 has 12 GB of GDDR7 memory.
Can I find A10 and RTX 5070 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 5070?▾
The A10 uses the Ampere architecture (2021) while the RTX 5070 uses Blackwell (2025). The RTX 5070 delivers 1.3x the FP16 throughput and 1.3x the memory bandwidth of the A10.