Specifications Compared
| Spec | A10 | RTX-3060 |
|---|---|---|
| TDP | 150W | 170W |
| VRAM | 24 GB | 12 GB |
| CUDA Cores | 9,216 | 3,584 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ampere | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 288 | 112 |
| FP16 Performance | 31.2 TFLOPS | 12.7 TFLOPS |
| FP32 Performance | 31.2 TFLOPS | 12.7 TFLOPS |
| INT8 Performance | 250 TOPS | |
| Memory Bandwidth | 600 GB/s | 360 GB/s |
Performance Analysis
The A10's 31.2 TFLOPS FP16 and FP32 performance doubles the RTX 3060 Ti's 12.7 TFLOPS, enabling roughly twice the speed in AI training and inference tasks using mixed precision. This delta accelerates model convergence in training and reduces latency in inference for real-time applications. Equal FP16 and FP32 rates on both GPUs support seamless transitions between half-precision training and single-precision evaluation. Memory specs amplify this: A10's 24 GB VRAM and 600 GB/s bandwidth handle larger models and batch sizes than RTX 3060 Ti's 12 GB and 360 GB/s, preventing out-of-memory errors in transformer-based LLMs. Lower TDP of 150W on A10 versus 170W on RTX 3060 Ti implies better power efficiency per TFLOP, ideal for sustained cloud runs. Bandwidth advantage sustains high throughput in data-heavy scientific computing, where RTX 3060 Ti may throttle on large datasets.
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 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 | ||
Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 64 vCPU 63GB RAM 646GB Storage | Czechia | $1.07/GPU/hr | Available |
RTX 3060 Ti
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
Vast.ai | NVIDIA GeForce RTX 3060 12GB VRAM | 12GB | 36 vCPU 31GB RAM 862GB Storage | Texas | $0.23/GPU/hr | Available | ||
Vast.ai | 4×NVIDIA GeForce RTX 3060 12GB VRAM | 12GB | 128 vCPU 336GB RAM 1431GB Storage | Texas | $0.23/GPU/hr $0.90/hr total (4×) | Available | ||
Vast.ai | 2×NVIDIA GeForce RTX 3060 12GB VRAM | 12GB | 24 vCPU 55GB RAM 1940GB Storage | Texas | $0.23/GPU/hr $0.45/hr total (2×) | Available | ||
Vast.ai | 2×NVIDIA GeForce RTX 3060 12GB VRAM | 12GB | 64 vCPU 126GB RAM 3050GB Storage | Texas | $0.23/GPU/hr $0.45/hr total (2×) | Available |
When to Choose the A10
Choose the NVIDIA A10 for memory-bound workloads like training large language models exceeding 12 GB VRAM. Its 24 GB capacity and 600 GB/s bandwidth support bigger batch sizes, reducing training time with 31.2 TFLOPS compute. Datacenter reliability suits production inference at scale.
When to Choose the RTX 3060 Ti
Opt for the NVIDIA GeForce RTX 3060 Ti in budget-constrained scenarios with lighter models fitting 12 GB VRAM. At $0.03/hr from $0.06/hr average, it delivers 12.7 TFLOPS for cost-effective fine-tuning or Stable Diffusion. Suitable for prototyping where speed trumps capacity.
Use Cases
A10's 24 GB VRAM and 31.2 TFLOPS handle large models with bigger batches, outperforming RTX 3060 Ti's 12 GB and 12.7 TFLOPS limits.
A10 supports higher concurrency via 600 GB/s bandwidth and 24 GB VRAM for batched requests, faster than RTX 3060 Ti's 360 GB/s.
Both suffice for models under 12 GB; RTX 3060 Ti offers savings at $0.06/hr average, while A10 accelerates with 31.2 TFLOPS.
RTX 3060 Ti's 12 GB VRAM and 12.7 TFLOPS generate images efficiently at low $0.03/hr cost, adequate for most diffusion tasks.
A10's 600 GB/s bandwidth and 150W TDP sustain simulations with large datasets, exceeding RTX 3060 Ti's 360 GB/s capacity.
Frequently Asked Questions
Which GPU has more VRAM: A10 or RTX 3060 Ti?▾
The NVIDIA A10 has 24 GB GDDR6 VRAM, double the NVIDIA GeForce RTX 3060 Ti's 12 GB. This enables larger models on A10. Bandwidth follows suit at 600 GB/s versus 360 GB/s.
How do their compute performances compare?▾
A10 achieves 31.2 TFLOPS in FP16 and FP32, twice the RTX 3060 Ti's 12.7 TFLOPS. This doubles training and inference speeds. Both share Ampere architecture for compatibility.
What are the cloud rental prices?▾
NVIDIA A10 rents from $0.60/hr, averaging $1.06/hr across 3 offers. NVIDIA GeForce RTX 3060 Ti starts at $0.03/hr, averaging $0.06/hr across 2 offers. Costs reflect performance gaps.
Which has lower power consumption?▾
A10 uses 150W TDP, lower than RTX 3060 Ti's 170W. A10 delivers more efficiency at 0.21 W/TFLOP versus 0.22 W/TFLOP. Both fit PCIe slots.
Can RTX 3060 Ti handle LLM fine-tuning?▾
RTX 3060 Ti manages fine-tuning for models under 12 GB VRAM with 12.7 TFLOPS. Larger tasks exceed limits, favoring A10's 24 GB. Pricing favors RTX 3060 Ti for small jobs.
Are they from the same generation?▾
Both use Ampere architecture from 2021. A10 targets professional use, RTX 3060 Ti consumer gaming. PCIe form factors enable direct cloud comparisons.
Which is cheaper to rent, the A10 or the RTX 3060?▾
Cloud rental prices for both the A10 and RTX 3060 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 3060?▾
The A10 has 24 GB of GDDR6 memory. The RTX 3060 has 12 GB of GDDR6 memory.
Can I find A10 and RTX 3060 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 3060?▾
The A10 uses the Ampere architecture (2021) while the RTX 3060 uses Ampere (2021). The A10 delivers 2.5x the FP16 throughput and 1.7x the memory bandwidth of the RTX 3060.