Performance articles

Align CPU and GPU resources with Kubernetes NUMA policies

Combine CPU Manager eligibility, full-core allocation, and Topology Manager policy, then compare CPU/GPU workloads with Polyaxon.

Measure AI agent workflow bottlenecks

Measure Polyaxon agent workflow bottlenecks across planning, queueing, execution, transfers, and evaluation using critical-path timing and quality-aware comparisons.

Keep Polyaxon sandboxes ready with bounded lifetimes

Keep Polyaxon sandbox services ready for active sessions while controlling idle cost, absolute lifetime, state persistence, and cleanup.

Reduce AI agent startup latency with Polyaxon

Reduce Polyaxon agent startup latency by measuring queueing, image preparation, initialization, and readiness before tuning capacity or workspace reuse.

Tune checkpoint storage with Kubernetes VolumeAttributesClass

Change persistent-volume performance profiles, inspect the completed change, and compare checkpoint behavior in Polyaxon GPU jobs.

When CPU-accelerated AI inference makes sense

Evaluate CPU inference using model fit, precision, latency, throughput, memory, Kubernetes placement, and end-to-end cost instead of assuming every model needs a GPU.