HAMi

HAMi 2.7.0 Major Release | Broader Heterogeneous Chip Support, More Stable Scheduling, Stronger Ecosystem

# **HAMi v2.7.0 — Unified GPU Scheduling Across Heterogeneous Hardware** > **Source:** Dynamia Melon Intelligence --- ## **Of Silicon & Scheduling — Connecting All Chips Through One Order** A tribute to *Kubernetes 1.34*’s *Of Wind & Will*. There, the path is defined by *wind* and *will*; here, we navigate by

GPU utilization

Please, Stop Letting Your GPU Slack Off in Public!

Why Your GPU Is Probably Idle — And How HAMi Fixes That Most of the time, your GPU’s computing power is idle, with utilization often dropping below 20%. --- Expensive GPUs, Low Usage Let’s look at a few tempting — and wallet-draining — models: NVIDIA A100 80GB, H800 80GB, RTX 4090