Sold by: Dynamia Intelligence Inc
Deployed on AWS
Enterprise GPU virtualization & AI scheduling for EKS, with a full web console (global & cluster dashboards; node/GPU inventory; workload, storage & quota control) plus fractional sharing, VRAM overcommit, and live per-pod VRAM scaling.
Overview
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gpu share
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Topology-aware scheduling
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
- 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
- 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.
Details
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Delivery method
Supported services
Delivery option
dynamia ai v1
Latest version
Operating system
Linux
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
NVIDIA T4 | One NVIDIA T4 GPU, for g4 and g5 instances. | $133.00 |
NVIDIA L4 | One NVIDIA L4 GPU, for g6 instances. | $133.00 |
NVIDIA A10G | One NVIDIA A10G GPU, for g5 instances. | $133.00 |
NVIDIA A100-SXM4-40GB | One NVIDIA A100-SXM4-40GB, for p4d instances. | $216.00 |
NVIDIA A100-SXM4-80GB | One NVIDIA A100-SXM4-80GB, for p4de instances. | $216.00 |
NVIDIA L40S | One NVIDIA L40S, for g6e instances. | $133.00 |
NVIDIA H100 | One NVIDIA H100, for p5 instances. | $216.00 |
NVIDIA H200 | One NVIDIA H200, for p5e instances. | $216.00 |
NVIDIA B200 | One NVIDIA B200, for p6 instances. | $216.00 |
AWS Neuron | One AWS Neuron chip, for trn1 instances. | $133.00 |
Dimensions summary
You buy this platform per accelerator unit under a contract. Each dimension maps to one specific chip type tied to certain EC2 instance families. Nine dimensions cover individual NVIDIA GPUs, from T4, L4, and A10G, through A100 (40GB and 80GB), L40S, H100, H200, and B200. A tenth dimension covers one AWS Neuron chip for trn1 instances. Pricing scales with the number and type of accelerators you run, so you pick the units matching your hardware. There are no separate feature tiers here; each unit reflects the chip it virtualizes and schedules.
Top-of-mind questions for buyers
Each unit maps to one physical accelerator chip of that specific type. For example, one NVIDIA T4 unit covers a single T4 GPU on g4 or g5 instances. You count the number of chips of each type running in your cluster and buy that many units.
Each accelerator type bills independently on the same invoice. You add up the units per chip type separately. Your total reflects the mix of hardware you run, so clusters with more high-end chips like H100, H200, or B200 will show those dimensions as separate line items alongside T4, L4, or Neuron units.
No. The platform provides the same GPU virtualization, sharing, and scheduling regardless of chip type. The dimension only reflects which accelerator you virtualize and schedule. The platform also supports multiple accelerator vendors, but on AWS Marketplace you buy per NVIDIA GPU or per AWS Neuron chip.
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Vendor refund policy
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.
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Delivery details
dynamia ai v1
Supported services: Learn more
- Amazon EKS
Helm chart
Helm charts are Kubernetes YAML manifests combined into a single package that can be installed on Kubernetes clusters. The containerized application is deployed on a cluster by running a single Helm install command to install the seller-provided Helm chart.
Version release notes
Fix hami extended resource quota do not take effect.
Additional details
Usage instructions
You can follow this instruction to deploy dynamia ai platform in your cluster:
Resources
Vendor resources
Support
Vendor support
Email: info@dynamia.ai Docs & tickets: https://dynamia.ai
SLA: P1 247 (1-hour response) P2 85 (next business day) Enterprise services include onboarding, architecture reviews, and LTS updates via Helm/EKS add-on.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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