ISVs can now use Omnistrate to deploy and operate GPU-backed AI services on Nebius and other neocloud environments.
Enterprise customers are asking AI software vendors to support more infrastructure options. The reasons are practical: access to specific GPU architectures and capacity, control over AI infrastructure strategy, and pressure to improve price-performance as AI workloads move from experiments into production.
The result is that infrastructure choice is becoming an enterprise requirement.
Omnistrate now supports Nebius, an AI-first neocloud built for large-scale, GPU-intensive workloads. With this native integration, software vendors can enable Nebius for their customers as a deployment target and operate enterprise-grade AI services through the same control plane they use across clouds and customer environments.
What Is a Neocloud?
A neocloud is a specialized cloud platform built primarily for AI and high-performance computing workloads. Neocloud providers typically focus on dense GPU infrastructure, high-bandwidth networking, and storage architectures designed for model training, fine-tuning, and inference. Nebius is one example, combining AI-focused compute infrastructure with the cloud services needed to run production workloads.
Neoclouds give ISVs another deployment option for AI workloads that need specialized infrastructure. When GPU availability, purpose-built AI infrastructure, or price-performance becomes the deciding factor, a neocloud can be the right environment for a customer workload.
Why ISVs Need More AI Infrastructure Options
The demand for neocloud support is increasingly coming from the enterprise customers buying AI software. As those customers move larger workloads into production, they are asking ISVs to support infrastructure that aligns with their technical requirements and economics.
GPU Availability
AI workloads may require a specific GPU generation, memory profile, cluster size, or region. Adding neoclouds gives ISVs access to more capacity pools and hardware configurations, helping them match each workload to an appropriate environment without making one provider the default for every customer.
Control Over AI Infrastructure Strategy
Enterprise AI infrastructure decisions are driven by workload needs, security, regional constraints, procurement, and long-term strategy. Customers need the flexibility to choose and change environments as these factors evolve. Supporting neoclouds gives ISVs that flexibility while maintaining a consistent product experience across infrastructure.
Price-Performance
The infrastructure economics of sustained training and inference can materially affect product margins and customer pricing. For GPU-intensive workloads, neoclouds can deliver significantly better price-performance than general-purpose cloud infrastructure. This enables ISVs to offer a more cost-efficient deployment option while preserving the flexibility to support other cloud and customer-controlled environments.
What It Takes for ISVs to Support Neoclouds
For ISVs, adding support for another cloud provider is not straightforward.
Supporting Nebius requires more than connecting to its GPU infrastructure.
For ISVs with an existing control plane, the challenge is extending the ISV's delivery and operations model to a new cloud environment without turning it into another provider-specific engineering project.
Each cloud provider introduces different APIs, IAM models, networking constructs, storage services, and GPU configurations. Supporting those differences directly can make every new infrastructure option a separate integration and ongoing maintenance effort.
Omnistrate provides native support for Nebius, allowing ISVs to add it as a deployment target without building the provider integration and operational foundation from scratch.
For new ISVs, they need to build an enterprise control plane from scratch to enable customer deployments, operate reliably, and scale as the number of customer deployments grows.
What the Enterprise Control Plane Must Handle
Nebius provides the underlying infrastructure primitives: compute, GPUs, networking, storage, identity and access management, and related services. The ISV still needs an enterprise control plane that turns those primitives into a consistent, production-ready service.
That control plane must automate:
- Customer-specific deployments: Provision and configure each customer environment according to its infrastructure, security, and product requirements.
- Subscription and governance controls: Maintain isolation, zero-trust controls, configuration, and manage subscriptions across tenants.
- Scaling and lifecycle management: Automate scaling, upgrades, rollback, recovery, and decommissioning.
- Observability and operations: Provide health monitoring, telemetry, alerts, dashboards, and operational response workflows.
- Metering and commercial workflows: Track infrastructure and application usage for entitlements, billing, and customer reporting.
- Customer self-service and fleet control: Deliver consistent APIs, portals, and internal controls across deployment targets.
These capabilities do not come from the cloud provider. They live in the ISV's control plane—the product and operations layer that turns infrastructure into a repeatable enterprise service.
Building that layer separately for every cloud or neocloud creates parallel delivery stacks, inconsistent customer experiences, and long-term engineering debt. The infrastructure changes, but the enterprise requirements around deployment, operations, governance, and commercialization remain largely the same.
How Omnistrate Enables Enterprise-Grade Delivery on Nebius
For existing ISVs, enabling Nebius is straightforward: they can simply connect their Nebius environment with the appropriate account and access configuration.
Once connected, they can add the infrastructure configuration to define any compute, networking, storage, and GPU resource requirements.
For new ISVs, getting started is just as simple. Vendors define their application using existing artifacts, specify the infrastructure requirements and deployment model, and select their deployment targets, along with configuring the Day-2 controls they need.
Omnistrate then generates the enterprise control plane, including the APIs, customer portal, provisioning workflows, observability, metering, and fleet operations required to distribute and operate the product across infrastructure environments.
This turns infrastructure support into the enterprise-grade control plane described above, automating tenant onboarding, subscription controls, customer deployments, lifecycle management, observability, metering, governance, and Day-2 operations.
With that control plane, ISVs can support neoclouds, major public clouds, and on-premises environments through a single operating model, while also offering the deployment models different customer segments require, including cellular multi-tenant SaaS, single-tenant SaaS, BYOC, and air-gapped environments.
Nebius provides the specialized AI infrastructure. Omnistrate generates the enterprise control plane. The ISV retains ownership of the application, product logic, and customer experience.
Deploying vLLM on Nebius with Omnistrate-backed Control Plane
The public vLLM on Nebius reference implementation shows the integration end to end. It builds a vLLM single-hosted SaaS on Nebius.
It then demonstrates how ISV customers can create a sample GPU-backed deployment using the managed vLLM service. The deployment exposes an OpenAI-compatible HTTPS endpoint and includes built-in service and NVIDIA GPU observability through dashboards.
At a high level, the workflow is:
Onboard the Nebius environment. Configure the Nebius account access required to deploy your control plane. Define the application and Nebius infrastructure requirements to define the control plane spec. Here is an example vLLM spec on Nebius: https://github.com/omnistrate-community/nebius-vllm-demo
# yaml-language-server: $schema=https://api.omnistrate.cloud/2022-09-01-00/schema/service-spec-schema.json
name: Nebius vLLM GPU Inference
deployment:
hostedDeployment:
NebiusTenantId: "tenant-e00cs44jqcew4hv3xb"
features:
CUSTOMER:
metrics:
....
services:
- name: vllm
compute:
rootVolumeSizeGi: 256
instanceTypes:
....
network:
ports:
- 8000
endpointConfiguration:
api:
host: "$sys.network.externalClusterEndpoint"
....
helmChartConfiguration:
chartName: chart-vllm
chartVersion: 0.0.7
chartRepoName: omnistrate-vllm
chartRepoURL: oci://ghcr.io/omnistrate/vllm
....
Build the vLLM managed service. Submit the spec to generate your control plane and build your vLLM-as-a-Service.
omctl build -f spec-gpu-cluster.yaml \
--product-name 'Nebius' \
--spec-type ServicePlanSpec \
--release-as-preferred
╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ environment plan_id plan_name release_description service_id service_name version version_set_status │
│─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────│
│ Dev pt-VRWPNLImF0 Nebius vLLM GPU Inference Initial Release Version Set s-GuWdEcfcP5 Nebius vLLM Demo 1.0 Preferred │
╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
Check the service plan result at: https://omnistrate.cloud/product-tier?serviceId=s-GuWdEcfcP5&environmentId=se-BGBkF9Nwqq
Access your SaaS offer at: https://saasportal.instance-w6vidhd14.hc-pelsk80ph.us-east-2.aws.f2e0a955bb84.cloud/service-plans?serviceId=s-GuWdEcfcP5&environmentId=se-BGBkF9Nwqq
Test drive the vLLM service. Create the GPU-backed deployment, access the endpoint, and manage telemetry and lifecycle operations through Omnistrate.
omctl instance create \
--service=Nebius \
--environment=dev \
--plan='Nebius vLLM GPU Inference' \
--resource=vllm \
--cloud-provider=nebius \
--region=<ready-nebius-region>
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ cloud_provider environment instance_id plan region resource service status subscription_id tags version │
│────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────│
│ nebius Dev <instance-id> Nebius vLLM GPU Inference us-central1 vllm Nebius vLLM Demo DEPLOYING sub-6OR7umU3Ei 1.0 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
Enterprise AI Infrastructure Without More Operational Sprawl
AI software vendors operating at scale will need to meet the needs of different customer segments without multiplying their deployment and operations stacks. That requires streamlining customer deployments, cloud flexibility, and the enterprise-grade capabilities to manage different customer environments.
Together, Nebius and Omnistrate give ISVs a practical way to enable GPU-optimized environments for their customers while maintaining enterprise-grade delivery.