Tensor core performance of NVIDIA A10G

جواب

NVIDIA A10G is a Ampere card offering 70 FP16 TFLOPS and 35 FP32 TFLOPS alongside 600 GB/s of memory bandwidth. That's enough compute to handle modern model training and real-time serving workloads at serious scale.

Benchmarks show NVIDIA A10G performs particularly well on transformer-style models where tensor cores are saturated by large MatMuls. Diffusion models, speech, and vision workloads also see strong speedups versus older generations. For latency-sensitive production real-time serving, NVIDIA A10G usually hits target token-per-second rates on large language models well above the 30-50 tok/s threshold most products aim for.

The NVIDIA A10G page has the complete datasheet and side-by-side comparisons.