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HAMi - GPU Virtualization & Unified Scheduling for K8s

dynamia.ai · Software Development

No attestation published

Certification per AWS Marketplace.

Provenance reach3 of 12 layers traced

Evidence tier Source Confirmed · 4 captures on record

User ratingNot rated0 reviews on the listing
Runs onUnknownContainer
ProvenanceUnknown33% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on AWS Marketplace.

HAMi (Heterogeneous AI Computing Virtualization Middleware) is an open-source solution for GPU virtualization and unified scheduling in Kubernetes clusters.

It enables compute power limiting and memory isolation for GPUs at the Kubernetes layer, allowing multiple workloads to share the same physical GPU without interference.

Show the rest of the publisher’s description (7 more lines)

For AWS Neuron devices , HAMi integrates with the AWS Neuron Device Plugin to support shared access, while providing a unified scheduling layer for both GPU and Neuron resources.

Key capabilities:

  • GPU virtualization: Split NVIDIA GPUs by compute percentage and memory size, enabling fine-grained sharing for inference and training.
  • AWS Neuron integration: Works with AWS Neuron Device Plugin to enable shared usage of Inferentia and Trainium devices, with HAMi handling unified scheduling.
  • Topology-aware scheduling: Optimize workload placement based on NUMA and NVLink topology for better performance.
  • Works with popular AI stacks: Fully compatible with NVIDIA GPU Operator, Xinference, and vLLM Production Stack.

HAMi is ideal for AI inference, large model serving, and training workloads on Kubernetes, helping maximize hardware utilization across mixed GPU and AWS Neuron environments.

Highlights

Highlighted by the publisher on AWS Marketplace.

Unified Kubernetes management for NVIDIA GPUs and AWS Neuron devices.

Fine-grained GPU slicing and topology-aware scheduling for optimal utilization.

Works with NVIDIA GPU Operator, Xinference, and vLLM Production Stack.

Agent build and provenance

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Compliance

Government
  • FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27

Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.

Refund terms

As stated by the publisher on AWS Marketplace.

This product is free of charge. Refunds are not applicable.

Sources

Marketplace listingaws.amazon.comSource
App certificationaws.amazon.comSource
StandardEulaStandardEulaSource

Publisher resources

2 links
HAMi GitHub Repositorygithub.comSource
HAMi Documentationproject-hami.ioSource

Linked repositories

1 repo
Project-HAMi/HAMigithub · AWS MarketplaceSource

Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.

Pricing
Unknown
Not stated
Delivery
Container
Email: info@dynamia.ai GitHub Issues: https://github.com/Project-HAMi/HAMi/issues Community support is available via GitHub issues and email.
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