Vast.ai Useful-Work Performance Tuning

Overview

Provider benchmark fields help shortlist offers but do not replace workload measurement. Tune one bottleneck at a time and compare completed-work latency, throughput, reliability, and total cost on immutable workload bytes.

Prerequisites

• Representative input, warm-up, sample count, correctness assertion, and target SLO
• Pinned code/image/model plus candidate GPU, VRAM, host, network, and disk profiles
• Baseline throughput, utilization, memory, startup time, and useful-work cost

Instructions

Step 1: Build the baseline

Measure end-to-end completion, startup, data wait, GPU utilization, memory, errors, and cost on the current profile.

Step 2: Shortlist offers