Specifications Compared
| Spec | A10 | RTX-A2000 |
|---|---|---|
| TDP | 150W | 70W |
| VRAM | 24 GB | 6-12 GB |
| CUDA Cores | 9,216 | 3,328 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ampere | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 288 | 104 |
| FP16 Performance | 31.2 TFLOPS | 8 TFLOPS |
| FP32 Performance | 31.2 TFLOPS | 8 TFLOPS |
| INT8 Performance | 250 TOPS | |
| Memory Bandwidth | 600 GB/s | 288 GB/s |
Performance Analysis
The A10's 31.2 TFLOPS in FP16 and FP32 provides nearly 4 times the compute power of the RTX A2000's 8 TFLOPS, accelerating machine learning training and inference significantly on compute-intensive models. Equal FP16 and FP32 rates on each GPU support efficient mixed-precision workflows, but the A10's scale handles larger datasets faster. Memory bandwidth of 600 GB/s on the A10 doubles the RTX A2000's 288 GB/s, allowing bigger batch sizes without memory bottlenecks during training. This reduces out-of-memory errors for models exceeding 12 GB, where the A10's 24 GB VRAM excels over the RTX A2000's limit. In inference, higher bandwidth and VRAM on the A10 support more concurrent requests with larger inputs. Power efficiency favors the RTX A2000 at 70W, but the A10's 150W enables superior throughput for production-scale operations.
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 646GB Storage | Czechia | $1.07/GPU/hr | Available |
RTX A2000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA RTX A2000 12GB VRAM | 12GB | 6 vCPU 20GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the A10
Select the A10 for workloads demanding high memory capacity, such as training large language models that require over 12 GB VRAM. Its 24 GB GDDR6 and 600 GB/s bandwidth handle extensive datasets and large batch sizes effectively. The 31.2 TFLOPS performance cuts training times compared to the RTX A2000's constraints, justifying the $1.06/hr average cost for professional deployments.
When to Choose the RTX A2000
Opt for the RTX A2000 in budget-conscious scenarios like development testing or small-scale inference with models under 6 GB. Its low 70W TDP and $0.23/hr average pricing minimize operational costs for light workloads. The 8 TFLOPS suffices for entry-level tasks where 288 GB/s bandwidth meets modest batch size needs.
Use Cases
The A10's 24 GB VRAM and 31.2 TFLOPS support large models that exceed the RTX A2000's 6-12 GB and 8 TFLOPS limits.
A10's 600 GB/s bandwidth enables larger batch sizes for high-throughput inference, surpassing the RTX A2000's 288 GB/s.
24 GB VRAM on the A10 accommodates bigger models during fine-tuning, unlike the RTX A2000's 6-12 GB capacity.
RTX A2000's 6-12 GB VRAM handles standard Stable Diffusion at 8 TFLOPS cost-effectively; A10's 24 GB excels for high-resolution batches.
A10's 31.2 TFLOPS FP32 and 600 GB/s bandwidth accelerate simulations better than RTX A2000's 8 TFLOPS and 288 GB/s.
Frequently Asked Questions
What is the VRAM difference between A10 and RTX A2000?▾
The A10 has 24 GB GDDR6 VRAM, while the RTX A2000 offers 6-12 GB GDDR6. This makes the A10 better for large models exceeding 12 GB. Memory bandwidth is 600 GB/s on A10 versus 288 GB/s on RTX A2000.
How do their compute performances compare?▾
A10 delivers 31.2 TFLOPS in FP16 and FP32, nearly 4 times the RTX A2000's 8 TFLOPS in each. This gap accelerates training and inference on A10. Both share Ampere architecture from 2021.
What are the current cloud prices?▾
A10 starts from $0.60/hr with $1.06/hr average across 3 offers; RTX A2000 from $0.06/hr averaging $0.23/hr across 3 offers. RTX A2000 suits low-budget needs. Prices reflect real-time data.
Which has lower power consumption?▾
RTX A2000 uses 70W TDP compared to A10's 150W. This favors RTX A2000 for energy-sensitive setups. Both are PCIe form factors.
Can RTX A2000 handle LLM inference?▾
RTX A2000 manages small LLMs under 6 GB with 8 TFLOPS and 288 GB/s bandwidth. For larger models, A10's 24 GB VRAM is necessary. Batch sizes stay modest on RTX A2000.
Are they suitable for Stable Diffusion?▾
Both work, but A10's 24 GB VRAM supports high-resolution generations at 31.2 TFLOPS. RTX A2000 handles basics with 6-12 GB at lower $0.23/hr cost.
Which is cheaper to rent, the A10 or the RTX A2000?▾
Cloud rental prices for both the A10 and RTX A2000 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 A2000?▾
The A10 has 24 GB of GDDR6 memory. The RTX A2000 has 6 to 12 GB of GDDR6 memory.
Can I find A10 and RTX A2000 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 A2000?▾
The A10 uses the Ampere architecture (2021) while the RTX A2000 uses Ampere (2021). The A10 delivers 3.9x the FP16 throughput and 2.1x the memory bandwidth of the RTX A2000.