The Hidden Complexity of GPU Orchestration — And Why Developers Hate It

Developers want to build features, not fight GPU memory allocation errors.

But GPU orchestration is messy:

• device-specific kernels

• PCIe bandwidth contention

• fragmented memory allocations

• unpredictable training spikes

• multi-model co-location issues

Today’s GPU schedulers treat these problems like they don’t exist.

Agnitra doesn’t ignore them — it solves them.

Our runtime layer constantly monitors the GPU’s internal state:

• memory health

• tensor movement

• kernel performance

• cache hit ratios

• active thread blocks

This lets us route workloads in ways developers never had access to before.

Agnitra turns GPU orchestration from a nightmare into a fully automated system developers can trust.