Specifications Compared
| Spec | A10 | L4 |
|---|---|---|
| TDP | 150W | 72W |
| VRAM | 24 GB | 24 GB |
| CUDA Cores | 9,216 | 7,424 |
| FP8 (dense) | Not published | 242 TFLOPS |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ampere | Ada Lovelace |
| FP16 (dense) | 125 TFLOPS | 121 TFLOPS |
| Form Factors | PCIe | PCIe |
| INT8 (dense) | 250 TOPS | 242 TOPS |
| Interconnect | PCIe 4.0 | PCIe 4.0 |
| Tensor Cores | 288 | 232 |
| FP32 Performance | 31.2 TFLOPS | 30.3 TFLOPS |
| FP64 Performance | Not published | 0.5 TFLOPS |
| Memory Bandwidth | 600 GB/s | 300 GB/s |
| FP8 (with sparsity) | Not published | 485 TFLOPS |
| FP16 (with sparsity) | 250 TFLOPS | 242 TFLOPS |
| INT8 (with sparsity) | 500 TOPS | 485 TOPS |
Performance Analysis
The FP16 dense performance reaches 125 TFLOPS on the A10 compared to 121 TFLOPS on the L4. This small difference in dense FP16 means similar throughput for mixed precision training tasks. The FP16 with sparsity figure of 250 TFLOPS on the A10 exceeds the 242 TFLOPS on the L4 by a comparable margin. Memory bandwidth of 600 GB/s on the A10 supports larger batch sizes than the 300 GB/s available on the L4 during inference or training. The FP32 to FP16 dense ratio is 31.2 to 125 on the A10 and 30.3 to 121 on the L4. These ratios indicate both GPUs accelerate half precision workloads by roughly the same factor.
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
L4
1 provider in stock, 3 offers (cheapest per provider shown). All L4 offers, price history and alerts
Notify me when A10 drops below a price
One email when the cheapest in-stock on-demand price per GPU-hour falls below your threshold. Cheapest right now: $0.37/GPU-hr.
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When to Choose the A10
The A10 suits applications that require the higher memory bandwidth of 600 GB/s. Workloads such as large batch inference benefit from this bandwidth advantage over the L4 300 GB/s figure. Its INT8 dense rating of 250 TOPS also exceeds the L4 value.
When to Choose the L4
The L4 fits environments where power efficiency matters because its TDP is 72W compared to 150W for the A10. Newer Ada architecture may offer better support for FP8 dense at 242 TFLOPS in emerging inference pipelines.
Use Cases
The A10 supplies 600 GB/s memory bandwidth that supports larger batches than the 300 GB/s on the L4 during training runs.
The L4 operates at 72W TDP while delivering FP16 dense performance of 121 TFLOPS close to the A10 125 TFLOPS figure.
The A10 INT8 dense rating reaches 250 TOPS which exceeds the 242 TOPS on the L4 for fine tuning workloads.
Both GPUs share 24 GB GDDR6 memory and FP16 dense ratings within 4 TFLOPS so either handles diffusion tasks adequately.
The A10 FP32 performance of 31.2 TFLOPS surpasses the 30.3 TFLOPS on the L4 for compute intensive scientific jobs.
Frequently Asked Questions
What are the FP16 dense ratings for the A10 and L4?▾
The A10 reaches 125 TFLOPS in FP16 dense. The L4 reaches 121 TFLOPS in FP16 dense. Both GPUs therefore deliver nearly identical dense half precision throughput.
How does TDP differ between the A10 and L4?▾
The A10 TDP is 150W. The L4 TDP is 72W. Lower power draw on the L4 suits deployments where energy consumption is a primary constraint.
Which GPU offers higher INT8 dense performance?▾
The A10 offers 250 TOPS in INT8 dense. The L4 offers 242 TOPS in INT8 dense. The A10 holds a modest advantage in this metric.
What FP32 performance do the A10 and L4 deliver?▾
The A10 delivers 31.2 TFLOPS in FP32. The L4 delivers 30.3 TFLOPS in FP32. The A10 therefore provides slightly higher single precision compute.
Which is cheaper to rent, the A10 or the L4?▾
Cloud rental prices for both the A10 and L4 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 L4?▾
The A10 has 24 GB of GDDR6 memory. The L4 has 24 GB of GDDR6 memory.
Can I find A10 and L4 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 L4?▾
The A10 uses the Ampere architecture (2021) while the L4 uses Ada Lovelace (2023). Both deliver the same dense FP16 throughput (125 TFLOPS without sparsity), and the A10 has 2.0x the memory bandwidth of the L4.
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 L4. 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 L4Every 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.