T4 vs A10
Complete side-by-side comparison of specs, performance, memory, power efficiency, and pricing.
T4
5
Spec Wins
A10
10
Detailed Specifications
T4 — Best For
A10 — Best For
Who Should Choose Each GPU?
Choose T4 if you…
- ✓Need maximum CUDA/TensorRT/vLLM ecosystem compatibility
- ✓Have power-constrained data centers (70W vs 150W TDP)
- ✓Working with a tighter CapEx budget (lower list price)
- ✓Running Budget Inference workloads
- ✓Running NLP Serving workloads
- ✓Running High-Density GPU Farms workloads
Choose A10 if you…
- ✓Need maximum CUDA/TensorRT/vLLM ecosystem compatibility
- ✓Need more VRAM (24GB vs 16GB) for large model inference
- ✓Running Inference Serving workloads
- ✓Running Fine-Tuning workloads
- ✓Running Virtual Desktops workloads
Verdict
The T4 and A10 target different priorities. The A10's 24GB of GDDR6 gives it a clear edge for large-model inference where fitting the full model in VRAM eliminates quantization overhead. Both GPUs use CUDA, so ecosystem switching cost is not a factor. Use our TCO Calculator to model the full 3-year cost difference for your specific utilization and power costs.
T4 vs A10: Common Questions
Which is faster, T4 or A10?+
In FP8 throughput, the A10 leads with 0 TFLOPS vs 0 TFLOPS. For LLM inference, memory capacity and bandwidth often matter more than raw TFLOPS — the A10 has more VRAM (24GB).
Is T4 or A10 better for LLM training?+
For LLM training at scale, the A10 has higher raw throughput. However, the choice also depends on your software stack: T4 offers CUDA compatibility with the widest framework support (PyTorch, JAX, TensorRT).
What is the price difference between T4 and A10?+
The T4 is estimated at $2,000 per unit and the A10 at $4,000. Actual pricing varies by vendor, volume, and configuration. Check our Buy page for current reseller pricing.
Which GPU is more power efficient, T4 or A10?+
The T4 has a lower TDP (70W vs 150W). Performance-per-watt depends on your workload — for FP8 inference, divide TFLOPS by TDP: T4 = 0.0 TFLOPS/W vs A10 = 0.0 TFLOPS/W.