GeezerVison is showing www.vcluster.com — Planet Scale Distributed Inference | vCluster

planet scale distributed inference

One Control Plane. Every Compute Source.

Aggregate distributed GPU capacity across public cloud, AI clouds, and bare metal into one Kubernetes control plane.

Get a Demo

Get started free

Trusted by the fastest-growing AI cloud providers

The Market Reality

Aggregating GPU Compute Is Multiplying Your Ops Problem

You need a unified operations layer, not a different Kubernetes stack for every supplier.

Build One Platform, Not Four

Every new compute source ships with its own Kubernetes flavor, networking model, and upgrade cycle. Your team rebuilds the integration from scratch every time.

Every Supplier Fragments Your Stack

Your infra team is managing EKS, GKE, k3s, and bare metal simultaneously. Nothing is shared. Expertise doesn’t transfer. On-call gets worse every quarter.

Ops Headcount Scales With Compute

Onboarding a new GPU supplier takes months. There’s no shared playbook, only bespoke runbooks per source and no failover when a supplier goes down.

Don’t have the cycles to build a unified control plane from scratch for every compute tier?

vCluster normalizes your entire fleet under one operational model. Same playbook. Every supplier. Every time.

Get a Demo

HOW IT WORKS

A Single Control Plane, Connected to Every Compute Tier

One ops team managing your entire compute fleet. Every GPU supplier onboarded through the same repeatable playbook. Zero per-provider tooling, custom integrations, or fragmented runbooks.

Central management plane for your entire GPU fleet
vCluster Standalone connects each supplier via encrypted tunnel
Same six-step onboarding playbook for every new compute source
Shared policies, observability, and auto-scaling across every tier
Register new capacity directly to your inference gateway

One Platform. Every Compute Source. Full-Stack Control.

vCluster delivers the complete infrastructure stack for teams building distributed inference platforms, from bare metal provisioning through tenant-isolated GPU environments and inference gateway integration. Each layer is production-proven and works independently or as a unified platform.

Kernel-native workload isolation

Full Kubernetes for every customer

Operate GPU infrastructure like a cloud

Kernel-native workload isolation

Explore

Strong isolation, zero VM overhead

Each workload runs in its own secure runtime using kernel-level isolation, seccomp, cgroups, namespaces, and AppArmor. No VMs, no hypervisor tax.

Bare metal GPU performance with strict boundaries

Direct GPU access with near-zero overhead. Full performance for your tenants with strict security boundaries between every workload.

Purpose-built for untrusted customer inference workloads

Designed for dynamic code execution, package installs, and root access, safely. Built for inference platforms running customer workloads on shared GPU infrastructure.

Isolated GPU environments for every customer

Explore

Every customer gets their own Kubernetes environment

Give each tenant a fully isolated control plane, their own API server, etcd, and RBAC, on shared GPU infrastructure. No separate physical clusters required.

Maximize GPU utilization across shared infrastructure

Run hundreds of isolated tenant clusters on a single host cluster. Isolate tenants while maximizing utilization of every GPU in your fleet.

Platform-level control at scale

Manage clusters, policies, and lifecycle across your entire platform from one control plane. Provision via CI/CD, APIs, or self-service portals in seconds.

Operate GPU infrastructure like a cloud

Explore

Zero-touch bare metal provisioning

PXE boot and configure GPU servers automatically. New hardware joins your fleet without manual intervention, at any scale.

Full machine lifecycle management

Provision, upgrade, repurpose, and decommission hardware from one platform. No more fragmented tooling across lifecycle stages.

Hard network isolation, per tenant

Powered by Netris: hardware-enforced multi-tenancy with programmatic VLANs, VRFs, ACLs, and DPU policies provisioned across your full fabric. Hard network boundaries, zero manual ops.

SCALE FASTER, OPERATE LEANER

What This Means for Your Business

Faster Time to Capacity

After the first supplier onboarding, the playbook repeats. New GPU capacity reaches your platform faster, with less engineering involvement every time.

Decreased TCO

One operational model across all compute tiers means shared tooling, shared expertise, and shared upgrade cycles. Your platform team’s work compounds instead of fragmenting.

Increased ROI

Source cheaper GPU capacity from AI clouds or bare metal alongside public cloud and manage it all through one control plane. Your cost per inference request drops without adding ops complexity.

CUSTOMER STORIES

Trusted by Leading AI Cloud Operators

Helping teams unify distributed GPU infrastructure and onboard new compute sources in hours, not months.

Nebius uses vCluster to unify its distributed inference platform and wire new AI cloud suppliers directly to its Token Factory inference gateway.

How We Work

A Platform Partner, Not Just a Vendor

More AI cloud provider deployments than anyone else. That accumulated knowledge comes with every engagement.

Deep Expertise, Applied to Your Stack

We go deep on your infrastructure, goals, and constraints, so what we build is shaped around what you’re actually trying to run, not a generic template.

Production-Ready in a Day

We stand up a resilient, scalable platform on your infrastructure within a single day. Not a pilot. Not a POC. Production.

One Message Away

A Slack message or a call is all it takes. Our team is directly reachable to debug, troubleshoot, and resolve issues alongside you.

Every Engagement Makes the Platform Smarter

Every support ticket and deployment feeds back into the platform. When you partner with vCluster, you get the accumulated knowledge of every AI cloud we’ve worked with.

DIVE DEEPER