High-Performance Computing & Machine Learning
Heterogeneous GPU Cluster Scheduling
The challenge
Most cluster tools only support one GPU brand, leaving AMD, Apple Silicon, and Intel hardware idle while teams wait for expensive cloud instances.
Our approach
We deploy a single-binary gossip scheduler that discovers and balances tasks across mixed NVIDIA CUDA, AMD ROCm, Apple Metal, and Intel Arc hardware without a central master node.
Outcomes
40% to 60% reduction in cluster idle time across mixed hardware fleets
Single-binary deployment under 25 MB with zero runtime dependencies
Resilient peer-to-peer cluster coordination with zero single points of failure