Specifications Compared
| Spec | A10 | RTX-5060 |
|---|---|---|
| TDP | 150W | 180W |
| VRAM | 24 GB | 12 GB |
| CUDA Cores | 9,216 | 4,608 |
| Memory Type | GDDR6 | GDDR7 |
| Architecture | Ampere | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 288 | 144 |
| FP16 Performance | 31.2 TFLOPS | 23.1 TFLOPS |
| FP32 Performance | 31.2 TFLOPS | 23.1 TFLOPS |
| INT8 Performance | 250 TOPS | 370 TOPS |
| Memory Bandwidth | 600 GB/s | 448 GB/s |
Performance Analysis
The A10 delivers 31.2 TFLOPS in FP16 and FP32, surpassing the RTX 5060 Ti's 23.1 TFLOPS by 35 percent in both precisions. This advantage supports faster matrix multiplications in deep learning training and inference, where half-precision computations dominate. Equal FP16 and FP32 rates on both indicate strong tensor core utilization for AI workloads.
With 24 GB VRAM versus 12 GB, the A10 handles larger models or batch sizes without out-of-memory errors, such as loading 13 billion parameter LLMs fully. Its 600 GB/s bandwidth exceeds the RTX 5060 Ti's 448 GB/s by 34 percent, reducing bottlenecks in data-heavy operations like training with large batches. The A10's 150W TDP is lower than the 180W of the RTX 5060 Ti, aiding dense cloud deployments.
Blackwell's advancements may yield efficiency gains in specific kernels, but raw specs favor the A10 for throughput in memory-bound scenarios.
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 | ||
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 | ||
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 |
RTX 5060 Ti
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
Vast.ai | 2×NVIDIA GeForce RTX 5060 Ti 16GB VRAM | 16GB | 128 vCPU 63GB RAM 1345GB Storage | Maryland | $0.27/GPU/hr $0.53/hr total (2×) | Available | ||
Vast.ai | NVIDIA GeForce RTX 5060 Ti 16GB VRAM | 16GB | 128 vCPU 31GB RAM 1526GB Storage | Maryland | $0.27/GPU/hr | Available |
When to Choose the A10
Select the A10 for workloads demanding high VRAM, such as training large language models exceeding 12 GB. Its 24 GB capacity and 600 GB/s bandwidth enable bigger batch sizes, accelerating convergence by 20 to 30 percent in memory-constrained setups. The 31.2 TFLOPS FP16 performance suits professional data center inference at scale.
When to Choose the RTX 5060 Ti
Choose the RTX 5060 Ti for budget-driven tasks like lightweight inference or fine-tuning small models under 12 GB. At $0.07 per hour average, it offers superior value with 23.1 TFLOPS FP16 and Blackwell optimizations. Newer GDDR7 memory benefits bursty gaming-adjacent AI like Stable Diffusion generation.
Use Cases
The A10's 24 GB VRAM and 600 GB/s bandwidth support larger models and batches critical for training. The RTX 5060 Ti's 12 GB limits scale.
RTX 5060 Ti's low $0.07 per hour cost and 23.1 TFLOPS FP16 handle high-throughput serving efficiently. Blackwell architecture aids optimized inference kernels.
Both offer sufficient FP16 at 31.2 TFLOPS for A10 and 23.1 for RTX 5060 Ti; choose A10 for models over 12 GB or RTX 5060 Ti for cost savings.
RTX 5060 Ti's GDDR7 and Blackwell excel in generative tasks under 12 GB VRAM. Lower 180W TDP and $0.15 average pricing boost accessibility.
A10's higher 31.2 TFLOPS FP32 and 24 GB VRAM accelerate simulations with large datasets. Bandwidth edge prevents stalls in HPC workloads.
Frequently Asked Questions
Which GPU has more VRAM: A10 or RTX 5060 Ti?▾
The A10 provides 24 GB GDDR6 VRAM, doubling the RTX 5060 Ti's 12 GB GDDR7. This makes the A10 better for large models. The RTX 5060 Ti suffices for smaller workloads.
What are the cloud rental prices for A10 vs RTX 5060 Ti?▾
A10 pricing starts at $0.60 per hour, averaging $1.06 across three offers. RTX 5060 Ti starts at $0.07 per hour, averaging $0.15 across ten offers. The RTX 5060 Ti offers far better affordability.
How do FP16 performances compare between A10 and RTX 5060 Ti?▾
A10 achieves 31.2 TFLOPS FP16, 35 percent above RTX 5060 Ti's 23.1 TFLOPS. Both match FP16 to FP32 rates for AI efficiency. A10 leads in raw compute.
Which has higher memory bandwidth?▾
A10 bandwidth reaches 600 GB/s, exceeding RTX 5060 Ti's 448 GB/s by 34 percent. This benefits batch processing. RTX 5060 Ti's GDDR7 narrows the gap in latency-sensitive tasks.
What is the TDP difference?▾
A10 consumes 150W TDP, lower than RTX 5060 Ti's 180W. Lower power aids multi-GPU clouds. Performance per watt favors A10 slightly at 0.208 TFLOPS/W FP16.
Is RTX 5060 Ti newer than A10?▾
Yes, RTX 5060 Ti uses 2025 Blackwell architecture versus A10's 2021 Ampere. Newer design brings efficiency gains. Specs show A10 ahead in capacity.
Which is cheaper to rent, the A10 or the RTX 5060?▾
Cloud rental prices for both the A10 and RTX 5060 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 5060?▾
The A10 has 24 GB of GDDR6 memory. The RTX 5060 has 12 GB of GDDR7 memory.
Can I find A10 and RTX 5060 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 5060?▾
The A10 uses the Ampere architecture (2021) while the RTX 5060 uses Blackwell (2025). The A10 delivers 1.4x the FP16 throughput and 1.3x the memory bandwidth of the RTX 5060.