Specifications Compared
| Spec | A10 | RTX 5060 |
|---|---|---|
| TDP | 150W | 145W |
| VRAM | 24 GB | 8-16 GB |
| CUDA Cores | 9,216 | 3,840 |
| Memory Type | GDDR6 | GDDR7 |
| Architecture | Ampere | Blackwell |
| FP16 (dense) | 125 TFLOPS | Not published |
| Form Factors | PCIe | PCIe |
| INT8 (dense) | 250 TOPS | Not published |
| Interconnect | PCIe 4.0 | PCIe 5.0 |
| Tensor Cores | 288 | 120 |
| FP32 Performance | 31.2 TFLOPS | 19.2 TFLOPS |
| Memory Bandwidth | 600 GB/s | 448 GB/s |
| FP4 (with sparsity) | Not published | 614 TFLOPS |
| FP16 (with sparsity) | 250 TFLOPS | Not published |
| INT8 (with sparsity) | 500 TOPS | Not published |
Performance Analysis
The A10 FP32 performance reaches 31.2 TFLOPS while the RTX 5060 FP32 performance reaches 19.2 TFLOPS, producing a ratio of 1.625 in favor of the A10 for single precision tasks. The A10 also supplies FP16 dense performance at 125 TFLOPS, a figure absent from published RTX 5060 specifications, which limits direct dense FP16 comparisons. Memory bandwidth of 600 GB/s on the A10 versus 448 GB/s on the RTX 5060 affects achievable batch sizes in memory intensive operations by a ratio of 1.34. The A10 INT8 dense performance stands at 250 TOPS while the RTX 5060 publishes no INT8 figure, and the RTX 5060 FP4 performance with sparsity reaches 614 TFLOPS against no corresponding A10 value.
Current On-Demand Offers
Cheapest secure on-demand offer per provider that is reported in stock right now, per GPU per hour; multi-GPU instances show the whole-instance price alongside. Deploy opens the DeployGPU console for providers on the platform, otherwise the provider's own site. Stock is rechecked every minute.
A10
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| LeaderGPU | The Netherlands | 10 | $0.37 | $3.71 | Deploy |
| Lambda Labs | us-east-1 | 1 | $1.29 | — | Deploy |
2 providers in stock, 3 offers (cheapest per provider shown). All A10 offers, price history and alerts
RTX 5060
1 provider in stock, 2 offers (cheapest per provider shown). All RTX 5060 offers, price history and alerts
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When to Choose the A10
The A10 suits workloads that require 24 GB VRAM capacity and 600 GB/s bandwidth for larger batch processing. Its 31.2 TFLOPS FP32 rating and 125 TFLOPS FP16 dense rating further support training or inference scenarios where these dense metrics determine throughput.
When to Choose the RTX 5060
The RTX 5060 suits workloads that operate within 8 to 16 GB VRAM limits and benefit from PCIe 5.0 interconnect along with 145 W TDP. Its FP4 performance with sparsity at 614 TFLOPS enables specific low precision inference paths unavailable on the A10.
Use Cases
The A10 supplies 24 GB VRAM and 125 TFLOPS FP16 dense performance that exceed RTX 5060 published figures for sustained training runs.
The A10 600 GB/s bandwidth and 31.2 TFLOPS FP32 rating support larger batch inference compared with the RTX 5060 448 GB/s and 19.2 TFLOPS FP32.
The A10 INT8 dense rating of 250 TOPS combined with 24 GB VRAM enables fine tuning at scales beyond the RTX 5060 8 to 16 GB limit.
The RTX 5060 FP4 performance with sparsity at 614 TFLOPS and PCIe 5.0 interconnect suit diffusion workloads that fit within 8 to 16 GB VRAM.
The A10 31.2 TFLOPS FP32 and 150 W TDP deliver higher single precision throughput than the RTX 5060 19.2 TFLOPS at 145 W.
Frequently Asked Questions
How does A10 FP32 performance compare with RTX 5060 FP32 performance?▾
The A10 reaches 31.2 TFLOPS FP32 while the RTX 5060 reaches 19.2 TFLOPS FP32, creating a 1.625 ratio advantage for the A10.
Which GPU provides higher memory bandwidth?▾
The A10 provides 600 GB/s memory bandwidth compared with 448 GB/s on the RTX 5060.
Does the RTX 5060 publish an FP16 dense figure?▾
No FP16 figure appears in the RTX 5060 specifications while the A10 lists 125 TFLOPS FP16 dense.
What TDP values distinguish the two GPUs?▾
The A10 lists 150 W TDP and the RTX 5060 lists 145 W TDP.
Which interconnect does each GPU use?▾
The A10 uses PCIe 4.0 while the RTX 5060 uses PCIe 5.0.
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 8 to 16 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 has 24 GB of GDDR6 at 600 GB/s; the RTX 5060 has 8-16 GB of GDDR7 at 448 GB/s, so the A10 has 1.3x the memory bandwidth of the RTX 5060.
Rent these GPUs
Each GPU page lists every current on-demand offer by provider, per GPU-hour, updated every minute.
Related comparisons
How this page is made
- Specifications come from the NVIDIA, AMD and Intel datasheets for the A10 and the RTX 5060. Dense and sparse throughput are listed separately.
- Prices and availability are live: every offer shown is an in-stock, on-demand listing from a provider we track, rechecked every minute.
- The written comparison (overview, performance notes, when to choose each card, verdict, use cases and FAQ) was drafted with an AI model from the specification table above and passed an automated check that rejects any figure not in that table. It was last generated on . It contains no prices; those are always read live.
- Read how we collect the data, or report an error on this page.
Next steps
- Rent A10Every current offer by provider, daily price history and a price alert.
- Rent RTX 5060Every current offer by provider, daily price history and a price alert.
- GPU price indexHow on-demand prices for the major GPUs have moved, updated daily.
- All GPUsEvery GPU we track, with current lows and provider counts.