A10G vs L4
Compare NVIDIA A10G and NVIDIA L4 specs, performance, and cloud pricing
A10G
24GB
From $0.540/hr
L4
24GB
From $0.350/hr
Architecture
Ampere
vs Ada Lovelace
FP16 Gap
1.0x
A10G leads
| Specification | A10G | L4 |
|---|---|---|
| VRAM | 24 GB | 24 GB |
| VRAM Type | GDDR6X | GDDR6 |
| FP16 TFLOPS | 250 TFLOPS | 242 TFLOPS |
| FP8 TFLOPS | N/A | 485 TFLOPS |
| Memory Bandwidth | 600 GB/s | 300 GB/s |
| TDP | 150W | 72W |
| Interconnect | PCIe Gen4 | PCIe Gen4 |
| Architecture | Ampere | Ada Lovelace |
Price Comparison
| Metric | A10G | L4 |
|---|---|---|
| Cheapest On-Demand | $0.540/hr | $0.350/hr |
| Cheapest Spot | $0.270/hr | $0.210/hr |
| Providers Available | 2 | 3 |
Verdict
Best for Training
NVIDIA A10G
250 TFLOPS FP16 with 24GB VRAM
Best Value
NVIDIA L4
691 TFLOPS per $/hr
Best for Inference
NVIDIA L4
485 TFLOPS FP8/FP16
Use-Case Recommendations
Large-Scale Training
Training LLMs and large multi-modal models
Winner
A10G
250 TFLOPS FP16 with 24GB GDDR6X provides the best training throughput.
Inference at Scale
Deploying models in production for real-time inference
Winner
L4
485 TFLOPS FP8/FP16 gives superior inference throughput.
Budget-Conscious Workloads
Getting the best performance per dollar
Winner
L4
Starting at $0.350/hr delivers the best TFLOPS per dollar.