NVIDIA A800 PCIe 80GB vs NVIDIA A10G 24GB
The A800 delivers 4.5x the FP16 throughput of the A10G (312 vs 70 TFLOPS dense). The A800 also carries 56 GB more memory (80 GB vs 24 GB).
NVIDIA A800 PCIe 80GB
Full specs →NVIDIA A10G 24GB
Full specs →Specifications
Performance (TFLOPS)
FLOPS by Precision
What actually differs
Both GPUs launched in 2022: the A800 on Ampere and the A10G on Ampere.
Dense throughput for the A800 against the A10G: FP32 20 vs 35 TFLOPS, FP16 312 vs 70 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.
Memory is 80 GB against 24 GB, fed at 1.9 TB/s versus 600 GB/s. More memory per GPU means larger models fit before you have to shard across cards, which often matters more than raw TFLOPS for inference.
Power budgets are 300 W for the A800 and 300 W for the A10G. At FP32 that works out to 0.07 against 0.12 TFLOPS per watt.
For LLM training and inference, weight the FP8 and FP16 rows and memory capacity most heavily. For scientific and HPC workloads, the FP64 row is the one to read.
Frequently asked questions
Is the A800 faster than the A10G?
At FP16 precision the A800 reaches 312 TFLOPS dense against 70 TFLOPS for the A10G. The performance table on this page lists every published precision for both GPUs.
Which has more memory, the A800 or the A10G?
The A800 carries 80 GB of VRAM versus 24 GB for the A10G. Memory bandwidth is 1.9 TB/s for the A800 and 600 GB/s for the A10G.
How much power do the A800 and the A10G draw?
The A800 is rated at 300 W TDP and the A10G at 300 W. On FP32 throughput per watt, the A10G is the more efficient part.
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