Dynamia AI Platform - GPU Virtualization & Scheduling for EKS
Dynamia Intelligence Inc · Logistics & Supply Chain
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Dynamia AI Platform brings enterprise-grade GPU virtualization and AI-aware scheduling to Amazon EKS, and includes an integrated web console for multi-cluster dashboards, inventory, and policy/governance.
GPU & scheduling capabilities
Show the rest of the publisher’s description (16 more lines)
- Fractional sharing with hard limits: per-pod SM/compute throttling and VRAM caps (MB or %), preventing noisy neighbors.
- VRAM overcommit with guardrails: increase cluster-level utilization while honoring per-pod safety limits.
- Live VRAM vertical scaling: adjust a running pod's GPU memory without restarts for many inference workloads.
- AI-purpose scheduling: binpack/spread, target by GPU model/UUID, NUMA/NVLink awareness, namespace/tenant GPU quotas; optional gang scheduling & preemption via integrations (e.g., Volcano/Koordinator).
Web console (single control plane)
- Overview dashboard: multi-cluster posture, utilization, allocation, hot spots, and SLA risk hints.
- Cluster dashboards: per-cluster health, GPU usage, allocation vs. requests, saturation trends.
- Inventories: nodes list & detail, GPUs list & detail (model/UUID/topology/health), and workloads list & detail with GPU limits/actuals.
- Governance & ops: quota management (tenant/project/namespace), storage management (volumes, classes, usage), policy enforcement and basic audit trail.
- Observability: built-in DCGM metrics and prebuilt Grafana dashboards; alerting hooks.
Integrations & compatibility
- Kubernetes-native (Helm/EKS add-on); no app changes required.
- Works with vLLM Production Stack, SGLang, TensorRT-LLM, JupyterHub, Volcano/Koordinator.
- Supports NVIDIA GPUs on Amazon EKS; optional MIG awareness; RBAC and LTS release channel.
Outcomes
- Higher GPU utilization with fewer VRAM-related failures, clearer multi-tenant controls, and faster, safer rollout of AI training and inference services.
Highlights
Highlighted by the publisher on AWS Marketplace.
Enterprise GPU virtualization for EKS -- fractional sharing with strict SM/compute & VRAM limits, VRAM overcommit, and live per-pod VRAM scaling to maximize utilization without refactoring apps.
AI-purpose scheduling & quotas -- binpack/spread placement, model/UUID targeting, NUMA/NVLink awareness, and tenant/namespace GPU quotas; optional gang scheduling & preemption via integrations.
Full web console & governance -- global & cluster dashboards, node/GPU/workload inventories, storage and quota management.
Preview
2 imagesAgent build and provenance
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Compliance
- 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.
Vendor
External enrichment
Plans and pricing as listed
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Refund terms
As stated by the publisher on AWS Marketplace.
Refunds are handled according to AWS Marketplace policies. Buyers may request a refund within 30 days of purchase if the subscription was not activated or deployment failed due to a product issue. No pro-rata refunds are offered after activation, except where required by law. Please contact info@dynamia.ai with your AWS account ID and order ID for assistance.
Sources
Publisher resources
4 linksLinked repositories
1 repoUnknown 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.
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