TAHO Labs
verifiedPaidopnbook.com
Execution-fabric infrastructure that splits AI/compute workloads into units and packs GPUs to cut cost and raise utilization.
What it does
TAHO Labs (the site at opnbook.com) offers an 'execution fabric' that sits below orchestration and above silicon. It decomposes compute workloads into small units and routes each to the best-fit resource (CPU, GPU, accelerator, edge) to pack hardware densely, promising faster execution and lower compute cost.
Core features
Decomposes workloads into small routable units
Packs GPUs/CPUs to raise utilization
Works with Kubernetes, SLURM, CUDA and ROCm
Runs on cloud, on-prem and edge
Sits beneath existing orchestration with no rewrite
Best for
→Increasing GPU cluster utilization
→Cutting AI/compute infrastructure cost
→Speeding up training and inference workloads
→Getting more from existing hardware without migration