Capability
Cost Optimized Spot Gpu Provisioning
20 artifacts provide this capability.
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PolyaxonPlatform44/100
via “cost-optimization-with-spot-instances-and-concurrency-limits”
ML lifecycle platform with distributed training on K8s.
Unique: Couples spot instance scheduling with concurrency enforcement at multiple levels (global, queue), enabling both cost optimization and resource protection. Integrates with queue-based routing for heterogeneous infrastructure management.
vs others: More integrated than cloud-native spot scheduling because it enforces concurrency limits; more cost-aware than simple load balancing because it prevents resource exhaustion.