Specifications Compared
| Spec | A10 | RTX-2070 |
|---|---|---|
| TDP | 150W | 175W |
| VRAM | 24 GB | 8 GB |
| CUDA Cores | 9,216 | 2,304 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ampere | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 288 | 288 |
| FP16 Performance | 31.2 TFLOPS | 7.5 TFLOPS |
| FP32 Performance | 31.2 TFLOPS | 7.5 TFLOPS |
| INT8 Performance | 250 TOPS | |
| Memory Bandwidth | 600 GB/s | 448 GB/s |
Performance Analysis
The A10's 31.2 TFLOPS in FP16 and FP32 provides over four times the compute power of the RTX 2070's 7.5 TFLOPS in both precisions, enabling faster model training and inference cycles. This FP16/FP32 parity on both GPUs supports balanced performance across mixed-precision workflows, but the A10's raw throughput accelerates large-scale deep learning tasks significantly.
Memory capacity emerges as a key differentiator: the A10's 24 GB VRAM handles models exceeding 8 GB, such as large language models, without swapping, while the RTX 2070 limits batch sizes in memory-intensive operations. Higher bandwidth of 600 GB/s on the A10 versus 448 GB/s on the RTX 2070 reduces bottlenecks during data transfers, supporting larger batches and quicker iterations in training.
Power efficiency favors the A10 at 150W TDP compared to 175W, allowing denser cloud deployments. In real-world terms, these specs position the A10 for production-scale AI, while the RTX 2070 suffices for prototyping where absolute speed yields to cost.
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 | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 63GB RAM 2826GB Storage | Slovenia | $0.73/GPU/hr | Available | ||
Vast.ai | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 126GB RAM 794GB 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 | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 64 vCPU 63GB RAM 557GB Storage | Czechia | $1.00/GPU/hr | Available |
When to Choose the A10
The A10 excels in scenarios demanding high VRAM and compute: training or inferring large language models that exceed 8 GB, where its 24 GB capacity and 31.2 TFLOPS prevent out-of-memory errors and deliver fourfold speedups over the RTX 2070. Datacenter users benefit from its 600 GB/s bandwidth for high-batch inference in production environments.
Professional workflows involving fine-tuning massive models or scientific simulations prioritize the A10's efficiency at 150W TDP despite higher pricing from $0.60 per hour.
When to Choose the RTX 2070
The RTX 2070 suits budget-limited prototyping and light workloads: small-scale fine-tuning or inference on models fitting within 8 GB VRAM, where its 7.5 TFLOPS and $0.02 per hour starting price offer exceptional value. Hobbyists or startups testing ideas leverage its NVLink interconnect for multi-GPU setups at an average of $0.04 per hour.
Entry-level tasks like basic Stable Diffusion generation or scientific computing on modest datasets favor the RTX 2070 to minimize costs without sacrificing usability.
Use Cases
The A10's 24 GB VRAM and 31.2 TFLOPS FP16 handle large models and batches infeasible on the RTX 2070's 8 GB and 7.5 TFLOPS.
High memory bandwidth of 600 GB/s on the A10 supports production-scale inference with larger batches, outperforming the RTX 2070's 448 GB/s.
A10's superior 31.2 TFLOPS and 24 GB VRAM accelerate fine-tuning of models over 8 GB, avoiding limitations of the RTX 2070.
RTX 2070's 8 GB suffices for standard resolutions at $0.02 per hour, but A10's 24 GB enables high-resolution batches at 600 GB/s bandwidth.
RTX 2070's low $0.04 per hour average and 7.5 TFLOPS meet modest compute needs efficiently, reserving A10 for memory-heavy simulations.
Frequently Asked Questions
Which GPU has more VRAM: A10 or RTX 2070?▾
The A10 provides 24 GB of GDDR6 VRAM, triple the RTX 2070's 8 GB. This enables the A10 to manage larger AI models without memory constraints.
How do the FLOPS compare between A10 and RTX 2070?▾
The A10 achieves 31.2 TFLOPS in FP16 and FP32, over four times the RTX 2070's 7.5 TFLOPS in each precision. This translates to faster training and inference on the A10.
What is the cloud pricing for A10 vs RTX 2070?▾
A10 starts at $0.60 per hour with an average of $1.06 across three offers, while RTX 2070 begins at $0.02 per hour averaging $0.04 across two offers. The RTX 2070 offers far lower costs for light use.
Is the A10 more power efficient than RTX 2070?▾
Yes, the A10 has a 150W TDP compared to the RTX 2070's 175W. This efficiency supports denser cloud configurations.
Which is better for large model training?▾
The A10 outperforms with 24 GB VRAM and 600 GB/s bandwidth versus RTX 2070's 8 GB and 448 GB/s. It handles bigger batches essential for LLM training.
Does RTX 2070 support NVLink?▾
The RTX 2070 includes NVLink interconnect, absent on the A10. This aids multi-GPU scaling for compatible consumer workloads.
Which is cheaper to rent, the A10 or the RTX 2070?▾
Cloud rental prices for both the A10 and RTX 2070 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 2070?▾
The A10 has 24 GB of GDDR6 memory. The RTX 2070 has 8 GB of GDDR6 memory.
Can I find A10 and RTX 2070 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 2070?▾
The A10 uses the Ampere architecture (2021) while the RTX 2070 uses Turing (2018). The A10 delivers 4.2x the FP16 throughput and 1.3x the memory bandwidth of the RTX 2070.