Benchmarking Tesla GPUs

Decommissioned NVIDIA Tesla GPUs (K80, P100, V100, etc.) are available for $60–$200 and can still be useful for homelab AI workloads. A comprehensive benchmarking suite using Docker containers tests these cards across LLM inference, computer vision training/inference, 3D rendering, speech recognition, and scientific computing. Key findings: V100 offers the best overall value, P40 outperforms P100 for LLMs, M60 excels at Whisper transcription for $50, and multi-GPU scaling is nearly linear with minimal overhead. The post also covers CPU selection tradeoffs (single-core speed vs. core count), motherboard comparisons, and concludes with a recommended BOM for a 4U homelab GPU node built around V100s.

Source: https://esologic.com/benchmarking-tesla-gpus. 8 Sync News only summarizes and links out; content copyright belongs to the authors and original sources.