GPU orchestration
Connect workflows, queues, resource placement, and recovery to turn shared GPU capacity into completed work.
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Choosing GPU infrastructure for Polyaxon
Shortlist Lambda, CoreWeave, Nebius, Crusoe, and Vast.ai by Kubernetes fit, capacity, infrastructure ownership, and workload requirements.
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What is GPU orchestration?
Understand how orchestration connects workflows, queues, and resource placement.
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Queue management for machine learning workloads
Set priorities and concurrency for shared infrastructure.
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Gang scheduling for distributed training
Coordinate worker admission for distributed training.
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How to improve GPU utilization
Find queue delays, input bottlenecks, and fragmented capacity.
Validate GPU networking with NCCL and RCCL
Check collective communication before running distributed GPU workloads.
GPU jobs stuck Pending on Kubernetes: a debugging guide
Locate queue, scheduling, storage, and startup problems in GPU jobs.
GPU sharing on Kubernetes: MIG vs. time-slicing
Choose GPU sharing based on memory isolation and measured workload behavior.
Compare platforms
Apply the concepts above to a documented platform decision, including where each option fits and when they can coexist.
Polyaxon vs Run:ai
Decide whether you need an end-to-end AI workload platform, specialized GPU resource orchestration, or a validated combination.
Polyaxon vs SkyPilot
Compare a Kubernetes AI lifecycle platform with portable compute provisioning across clouds, Kubernetes, Slurm, and existing machines.
Polyaxon vs dstack
Compare Kubernetes workload and lifecycle operations with GPU provisioning across clouds, clusters, and on-premises servers.
Polyaxon vs Runpod
Separate Kubernetes workload orchestration from the purchase of on-demand GPU Pods and serverless workers.
Put it into practice
Integrations for this topic
Kubernetes
Connect a compute cluster and verify GPU allocation.
Amazon EKS
Configure EKS GPU capacity, identity, and networking.
Google GKE
Configure GKE GPU pools and workload identity.
CoreWeave
Connect CKS and configure GPU placement, storage, and distributed networking.
Lambda GPU Cloud
Connect Lambda Managed Kubernetes.
Crusoe Cloud
Connect Crusoe Managed Kubernetes.
Nebius AI Cloud
Connect Nebius Managed Kubernetes.
AMD GPUs
Configure AMD device allocation and ROCm.
Google Cloud TPU
Request TPU resources and verify JAX device discovery.
Tenstorrent
Review Tenstorrent runtime and device-access requirements.