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Fractional GPUs 101: why slicing beats renting
Oct 02, 2025
PT6M
fractional-gpuMIGMPSscheduling
The real problem: instance-sized walls
GPU demand is spiky. Instances are not. That mismatch is where budget dies.
What “fractional” actually means
Fractional compute is a scheduler promise: you get isolation + predictable performance, not a best-effort timeshare.
MIG vs MPS (and why you usually want both)
- MIG partitions hardware resources.
- MPS improves multi-process utilization.
What Kova optimizes for
Kova targets $/result, not $/hour.
A quick mental model
Slice policies define constraints → scheduling packs slices → receipts verify outcomes.
Kova Team
Operators building verifiable, fractional compute.
We write about fractional GPUs/CPUs, per-second economics, verification, and the deployment details that keep fleets stable.
