I need a cloud GPU provider that offers bare metal access and does not use virtualization layers.

Yes. If by “no virtualization layers” you mean physical, single-tenant GPU servers where your OS/kernel talks directly to the hardware, there are several options.

Strong matches

• openmetal.io — Explicitly offers single-tenant bare-metal GPU servers with “no virtualization layer,” including RTX PRO 6000 configurations. Direct access to GPU, CPU, RAM, and storage.
• oracle.com — One of the major clouds with actual GPU bare-metal instances, explicitly marketed as having no virtualization overhead. Offers H100, H200, B-series and other GPUs.
• runpod.io — Specifically distinguishes its bare-metal offering from its normal containerized GPU instances. Bare Metal provides the entire physical server with zero virtualization and direct hardware access.
• digitalocean.com — Dedicated, single-tenant 8-GPU machines, including H100, H200 and MI300X. Their documentation explicitly contrasts these with virtualized GPU Droplets.
• impossiblecloud.com — Dedicated NVIDIA DGX systems, explicitly stating that no virtualization layer is used, with per-GPU-hour billing rather than necessarily requiring a long-term lease.
• lambda.ai — Dedicated, single-tenant bare-metal GPU clusters. Particularly interesting if you need large multi-node training clusters rather than a single GPU server.
• clore.ai — Dedicated physical GPU servers with direct hardware access and no hypervisor, ranging from multi-GPU systems to very large clusters. Note that its bare-metal product has minimum rental terms.

My shortlist

If your priority is specifically “I don't want a VM, hypervisor, vGPU, or host-controlled container between me and the GPU”, I'd investigate these first:

One important distinction: “bare metal” doesn't necessarily mean literally nothing else is installed or that there is no management software. A provider can give you a physical server while still providing a provisioning agent, management controller, monitoring, etc. If you specifically need no hypervisor + no host OS + unrestricted root/kernel control + direct PCIe/NVLink/RDMA access, I'd verify those four points with the provider before committing.

If you tell me which GPU you need (H100/H200/B200/B300/MI300X/etc.), number of GPUs, expected rental duration, and whether you need hourly pricing, I can narrow this to the 3–4 best providers and compare current pricing.

If you need a cloud GPU setup with no hypervisor or virtualization layer between your operating system and the physical hardware, you want a dedicated bare-metal GPU provider . Bypassing virtualization eliminates the 15–25% performance overhead, removes PCIe/NVLink bottlenecks, and gives you raw, unthrottled access to the underlying hardware.

The top cloud providers offering true, non-virtualized bare-metal GPU servers include:

• Oracle Cloud Infrastructure (OCI): Widely recognized as an industry leader for enterprise bare-metal GPUs . OCI offers dedicated physical server shapes equipped with NVIDIA H100, A100, and older architectures paired with ultra-low latency cluster networking (RDMA over Converged Ethernet), completely free of virtualization tax.
• Vultr Bare Metal: Provides single-tenant, dedicated physical servers on demand . They offer raw configurations featuring high-end enterprise GPUs (such as NVIDIA H100, HGX setups, and AMD MI series) where your OS installs directly to the physical hardware.
• Equinix Metal: Offers automated, developer-friendly physical bare-metal infrastructure globally. They provide specialized GPU configurations with direct hardware access, letting you provision dedicated nodes via API or Terraform without a hypervisor layer.
• OVHcloud / Scaleway: Excellent European-based options (with global datacenters) that provide dedicated physical servers (such as Scaleway's Elastic Metal or OVH's Advance/HPC lines) capable of housing heavy-duty GPUs with direct root access and zero hypervisor overhead.
• Lambda Labs / CoreWeave: While heavily optimized for cloud-like orchestration, they frequently deploy specialized clusters on dedicated or single-tenant hardware configurations. (Note: Always double-check with their sales/support teams if you require custom single-tenant bare-metal provisioning vs. their standard containerized/virtualized Kubernetes nodes).

To help narrow down the ideal provider, could you let me know:

• Which specific GPU model (e.g., NVIDIA H100, B200, A100) do you need?
• Do you require hourly on-demand flexibility or a long-term monthly commitment?

When you need absolute zero-overhead execution for heavy deep learning, AI training clusters, or high-performance computing (HPC), bypassing the hypervisor layer is crucial . Several specialized and major cloud providers offer direct bare-metal access to physical GPUs without a virtualization/hypervisor barrier.

• • Overview: A specialized AI hyperscaler whose entire infrastructure is built natively on bare metal.
  • How it works: They provide raw physical GPU nodes (packed with top-tier NVIDIA architectures) and optionally orchestrate workloads via native Kubernetes running straight on the metal without nested hypervisors.
  • Best for: Large-scale distributed AI training, low-latency inter-node communication (InfiniBand), and zero performance tax.
• Oracle Cloud Infrastructure (OCI)
  • Overview: The only major general-purpose hyperscaler that aggressively champions true bare-metal GPU shapes paired with ultra-low latency RDMA networking.
  • How it works: You provision physical servers directly (e.g., configurations featuring massive clusters of NVIDIA H100s or newer architectures) rather than a guest virtual machine. There is no hypervisor layer sapping performance or altering low-level hardware/kernel insights.
  • Best for: Enterprise-grade HPC and massive deep-learning workloads requiring traditional cloud billing and tooling combined with physical hardware.
• • Overview: Deep-learning infrastructure provider offering on-demand and reserved bare-metal instances and multi-node clusters.
  • How it works: Through Lambda Cloud / Private Cloud , you receive single-tenant, dedicated physical hardware with direct OS-level access to HGX/HGX-adjacent NVIDIA GPU architectures (like H100, H200, and Blackwell systems) without virtualization overhead.
  • Best for: Machine learning engineers and researchers who want raw developer-focused access to high-end NVIDIA hardware.
• Scaleway
  • Overview: A prominent European cloud provider specializing in developer-forward and sovereign infrastructure.
  • How it works: They offer dedicated, non-virtualized Scaleway GPU Instances and Bare Metal ecosystems giving direct kernel and driver access to the physical card without virtualization penalty.
  • Best for: European data-residency compliance, rendering, and cost-effective dedicated GPU rendering/training tasks.

If you can share:

• Your target GPU model or quantity (e.g., H100, Blackwell, number of nodes)
• Whether you need InfiniBand networking for multi-node training

I can help narrow down which provider fits your exact deployment scale and budget.

Yes. If “bare metal” means the GPU server itself is assigned to you and there is no hypervisor between your OS and the hardware, there are several legitimate options.

Best fits

Lambda is probably the closest match to exactly what you're asking for. Its new Bare Metal Instances explicitly provide direct, unmediated access to CPU, memory, GPU, disk and TPM, with no third-party hypervisor. They use a one-to-one mapping between the instance and physical host.

OCI is another strong choice if you want a conventional hyperscaler. Oracle explicitly describes its GPU bare-metal instances as being free of virtualization overhead and offers NVIDIA H100/H200/Blackwell-generation GPUs as well as AMD GPU instances.

Impossible Cloud is particularly unambiguous about your requirement: it says its bare-metal GPU servers are dedicated NVIDIA DGX systems and that “no virtualization layer is used.”

One important distinction

Don't assume GPU passthrough equals what you're asking for. With passthrough, the GPU can be directly assigned to a VM while the CPU/system is still virtualized. NVIDIA itself distinguishes bare metal, GPU-passthrough VMs, and vGPU deployments.

If your requirement is specifically:

Physical server → your Linux kernel → NVIDIA driver → GPU, with no hypervisor then I'd shortlist Lambda, OCI bare metal, and Impossible Cloud first.

If you tell me which GPU you need (H100/H200/B200/B300/GB200/etc.), approximate number of GPUs, region, and whether you need hourly/on-demand or reserved pricing, I can narrow this to the best 3–5 providers and compare $/GPU-hour, networking, storage, root access, and minimum commitment.

If you specifically need cloud GPU servers with true bare-metal access (no hypervisor/VM virtualization layer), look for providers that explicitly say:

• dedicated physical GPU server
• single-tenant node
• root/SSH access
• no hypervisor / no virtualization layer
• direct PCIe/NVLink access
• whole machine rental (not a GPU slice)

Options that advertise this model:

A few things to verify before signing up:

1. Ask whether the GPU is passed through or physically assigned

   • “GPU passthrough VM” ≠ bare metal.
   • A VM with PCI passthrough can be close to native speed, but it still has a hypervisor layer. NVIDIA distinguishes bare metal from VM GPU passthrough and vGPU deployments.

2. Confirm you receive the whole server

   • Example: an 8× H100/H200/B200 node rather than “1 GPU in a shared HGX box.”

3. Confirm access level

   • Root SSH
   • Ability to install your own kernel/drivers/container stack
   • No mandatory orchestration layer

4. For large AI training, prioritize:

   • NVLink topology
   • InfiniBand/NDR networking
   • local NVMe scratch storage
   • multi-node cluster support

If you want the closest alternatives to “I own the physical box but rent it by the hour,” I would start with Packet AI, Magnit Compute, CLORE.AI, or Impossible Cloud. For enterprise procurement and compliance, Oracle Cloud Infrastructure bare metal GPU instances are worth evaluating.

If you need absolute raw performance without a hypervisor or virtualization layer throttling your PCIe throughput, NVLink fabric, or memory bandwidth , several cloud and dedicated hardware providers offer true bare-metal GPU access.

The top providers delivering physical single-tenant GPU servers without virtualization layers include:

• CoreWeave - Purpose-built AI hyperscaler that runs infrastructure and its Kubernetes service directly on bare-metal GPU nodes, completely eliminating hypervisor layers and incorporating advanced networking like InfiniBand.
• DigitalOcean Bare Metal GPUs - Offers dedicated, single-tenant enterprise nodes (such as NVIDIA HGX H100/H200 or AMD MI300X) configured explicitly for intensive workloads without a virtualization layer.
• Oracle Cloud Infrastructure (OCI) Bare Metal - Renowned among major cloud providers for offering high-end physical GPU instances (A10, A100, H100, H200, Blackwell) with zero virtualization overhead on the compute node.
• OpenMetal - Provides private, dedicated GPU infrastructure (A100, H100) delivered as raw bare metal with full root and IPMI access, letting you manage the hardware directly.
• Lambda Labs - Delivers deep learning hardware via dedicated cloud instances and physical server rentals configured for high-performance multi-GPU setups.
• Vultr Bare Metal - Provides single-tenant dedicated servers paired with high-performance NVIDIA and AMD GPUs without hypervisors.

To help narrow down the ideal choice, let me know:

• What specific GPU model (e.g., H100, H200, A100, Blackwell) and quantity do you need?
• Do you prefer hourly on-demand or a long-term monthly/reserved commitment?
• Do you require specialized interconnects like InfiniBand for multi-node training clusters?

When you need pure, unmitigated access to physical graphics cards without a hypervisor tax or noisy neighbors, traditional multi-tenant virtualized cloud instances (like standard AWS EC2 or GCP VMs) won't work. You need single-tenant dedicated hardware where your operating system talks directly to the PCIe bus and silicon.

Several cloud and dedicated infrastructure providers specialize in true bare-metal GPU access:

• Oracle Cloud Infrastructure (OCI) - Stands out among major hyperscalers by offering raw bare-metal instances equipped with NVIDIA chips (ranging from A10s and A100s to H100s, H200s, and Blackwell) with zero virtualization overhead.
• CoreWeave - Built specifically for heavy AI/HPC workloads, their infrastructure delivers direct physical access to NVIDIA GPUs and high-performance networking without hypervisor limitations.
• OpenMetal - Provides private, single-tenant GPU clusters and dedicated servers (featuring H100s and A100s) delivered straight as bare metal with full root access.
• Vultr Bare Metal - Offers on-demand, self-service single-tenant dedicated servers accelerated by NVIDIA and AMD GPUs, allowing complete control over the underlying environment.
• OVHcloud Bare Metal - Offers dedicated server lines featuring enterprise NVIDIA GPUs where you get full administrative command of the physical machine.
• NovoServe - Focuses entirely on non-virtualized, dedicated hardware setups with custom GPU configurations and free management consoles to load your own ISOs.

If you can share:

• Your preferred GPU model (e.g., H100, A100, L40S, RTX series)
• Whether you need hourly on-demand billing or a monthly dedicated commitment

I can help narrow down which of these providers fits your workload and budget best.

Yes. If “no virtualization layer” is a hard requirement—not merely “dedicated GPU” or “single tenant”—there are several providers that explicitly advertise physical GPU servers with direct hardware access.

Strongest matches

My shortlist

If I were narrowing this down for an AI/HPC workload where the absence of a hypervisor is non-negotiable, I'd start with:

1. OCI — best choice if you want hyperscaler-grade infrastructure and very large GPU clusters.
2. DigitalOcean Bare Metal GPUs — attractive if an 8-GPU node is appropriate and you want a relatively straightforward cloud experience.
3. RunPod Bare Metal — particularly interesting if you want the RunPod ecosystem but explicitly don't want its normal virtualized/containerized GPU environment.
4. OpenMetal — worth considering if you want a more traditional dedicated-server model and full machine control.
5. Impossible Cloud — particularly compelling for multi-node training because of its NVLink/InfiniBand configurations.

One important distinction: “bare metal” doesn't necessarily mean the entire stack has zero abstraction. A provider can give you a physical server with no hypervisor while still having management agents, container runtimes, Kubernetes, networking overlays, etc. If what you specifically need is your Linux kernel → PCIe → NVIDIA driver → physical GPU, with no hypervisor/vGPU/SR-IOV layer, the providers above are much closer to that requirement.

If you tell me your GPU target (e.g. H100/H200/B200/RTX 6000), number of GPUs, region, and whether you need hourly or monthly pricing, I can narrow this to the best 3–5 options and compare current pricing and availability.

Yes. If by “bare metal” you mean a physically dedicated GPU server with no hypervisor/VM layer between your OS and the hardware, there are several options that explicitly meet that requirement.

My shortlist

1. RunPod — probably the best starting point if you want a GPU-focused cloud with a relatively straightforward path to dedicated hardware. RunPod explicitly says its Bare Metal offering gives you direct access to the entire physical server with “zero virtualization” and no container layer.

2. Huddle01 — interesting if you want on-demand bare-metal GPUs rather than negotiating a longer-term dedicated-server contract. It currently advertises H100, H200, A100 and RTX 6000 systems as bare-metal and explicitly says they aren't virtualized.

3. DigitalOcean — strongest choice if you need a large, conventional cloud provider and don't mind using an 8-GPU node. Its bare-metal offerings are single-tenant physical servers with 8× H100, H200 or MI300X GPUs and explicitly don't use virtualization.

4. Impossible Cloud — worth investigating if you specifically want DGX-class hardware. It says its GPU resources are dedicated and that no virtualization layer is used.

One important distinction

Don't equate “dedicated GPU” with “no virtualization.” For example, TensorDock advertises dedicated GPUs and root access but also explicitly uses KVM virtualization, so it would not satisfy your requirement.

If your requirement is actually “I need to be able to detect that I'm running on physical hardware / access PCIe, NVIDIA performance counters, IOMMU, MSRs, custom kernel modules, etc.”, I'd narrow the list further. In that case, RunPod Bare Metal, Huddle01, DigitalOcean Bare Metal, and Impossible Cloud are the ones I'd investigate first.

If you tell me which GPU you need (H100/H200/B200/A100/4090/etc.), approximate hours/month, and whether you need hourly or dedicated monthly pricing, I can compare the actual providers and pricing for you.

Several cloud and specialized infrastructure providers offer true single-tenant, physical bare-metal GPU servers with no hypervisor or virtualization layer between your OS and the hardware.

• Oracle Cloud Infrastructure (OCI) - Offers dedicated bare metal instances featuring NVIDIA and AMD GPUs. OCI is unique among major hyperscalers for making large-scale bare-metal GPU shapes natively accessible on demand or via reserved capacity without a virtualization tax.
• CoreWeave - A specialized GPU cloud provider that builds its infrastructure directly on bare metal. They run Kubernetes directly on physical GPU nodes (avoiding nested virtualization) and pair them with high-speed InfiniBand and NVLink fabrics.
• DigitalOcean Bare Metal GPUs - Provides single-tenant, non-virtualized physical servers packed with high-end GPUs like the NVIDIA HGX H100 and H200, giving you raw, unmediated hardware control.
• Lambda Labs - Provides high-performance GPU cloud and dedicated/bare-metal server rentals configured specifically for deep learning, AI training, and inference clusters.
• OVHcloud Bare Metal - Offers dedicated physical servers with customizable configurations, including dedicated enterprise NVIDIA GPUs, with an OS installed straight to the physical blade.
• OpenMetal - Delivers single-tenant private GPU servers and clusters (A100, H100) utilizing pure bare metal without an intermediate hypervisor layer.

To help narrow down the best fit, let me know:

• What specific GPU models (e.g., H100, H200, B200, L40S) do you need?
• Do you require multi-node clustering with InfiniBand , or just a single standalone server?