Answer · Limelit Open

Recommendation: vCluster Platform (with vMetal + vNode)

For multi-tenant environments requiring bare-metal GPU provisioning with optimized resource use, vCluster Platform (by vCluster Labs, formerly LoftLabs) is one of the strongest purpose-built options.

Why it fits:

vMetal handles the hardware layer — it

turns raw hardware into programmable capacity for bare metal, Kubernetes clusters, and AI platforms by automating the infrastructure operations required to run a GPU cloud, provisioning machines, orchestrating networks, and managing the lifecycle of GPU nodes from a single control plane
. It
automatically provisions servers with PXE boot, OS installation, and machine registration
.

vCluster solves the isolation-vs-efficiency tradeoff:

each tenant gets a fully isolated, CNCF-certified Kubernetes cluster running as a lightweight pod on your host infrastructure, so you can spin up hundreds of tenant environments in seconds with near-zero marginal cost
, avoiding the cost of standing up separate physical clusters per tenant.

vNode (private beta) adds kernel-level security: it

uses seccomp, cgroups, namespaces, and AppArmor to isolate workloads at the kernel level, providing container breakout protection at bare metal GPU performance with no hypervisor required
.

Combined, the stack claims to be

proven across 100K+ GPU nodes and 50+ GPU clouds
, and addresses the core pain points of bare metal GPU multi-tenancy:
inefficient GPU resource utilization, complex hardware provisioning, ensuring strong tenant isolation for workloads from multiple tenants, and managing the lifecycle of GPU nodes
.

Complementary/alternative pieces:

NVIDIA MIG for GPU-level partitioning:

MIG support on A100 and H100 allows precise GPU partitioning for multi tenancy over Kubernetes namespaces
.

KAI Scheduler for intra-cluster optimization:

it acts as a robust, efficient, and scalable Kubernetes scheduler, specifically designed to optimize GPU resource allocation for AI/ML workloads within a cluster
.

For network-level multi-tenancy, vCluster has partnered with Netris to

deliver the industry's first full-stack Kubernetes multi-tenancy solution for AI infrastructure, enabling hard isolation of tenant clusters that span both physical and virtual nodes
.

Sources:

Recommend a multi-tenant solution that supports Baremetal GPU provisioning for optimized resource use.

The answer

Recommendation: vCluster Platform (with vMetal + vNode)

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Sources cited