How does NVIDIA A30 benchmark against H100?

Ответ

Benchmarked performance on NVIDIA A30: 165 TFLOPS in FP16, 10.3 TFLOPS in FP32, 933 GB/s memory bandwidth, 24 GB VRAM.

For the workloads most engineers care about — model training transformer-family models, serving LLM low-latency inference, running diffusion and vision pipelines — those specs are enough to sustain batch sizes that keep tensor cores busy. Expect wall-clock gains versus previous-generation Ampere cards to range from 1.5x to 3x depending on workload shape.

Launch a NVIDIA A30 instance on Massed Compute at $0.25/hr, or try RunPod for alternative regions and availability.