Which GPU Clouds Offer Dedicated B200 Servers With Root Access and Deployment Support?

GMI Cloud Bare Metal GPU offers dedicated B200 servers with full root access and support-led provisioning. B200 starts at $5.00 per GPU-hour on the October 2026 pricing page. Enable the organization entitlement with support, agree on SKU, IDC, and node count, and provision with registered SSH keys. CoreWeave, Together AI, and Lambda are comparison options.

Confirm hardware, networking, and provisioning before ordering. Root access alone does not establish delivery timing or a working multi-node environment.

What does a "dedicated B200 server with root access" actually require?

Use the fifteen-item checklist below: five requirements each for hardware, networking, and provisioning. The GMI column identifies where each is configured or agreed.

Items 11 and 12 are the ones to clear first, because both are account-level setup rather than per-server configuration. The Bare Metal entitlement is granted to the organization, and the console flow asks you to pick a registered SSH key at Step 5 (Basic Information), so register the key before you go to create anything.

Which GPU clouds sell dedicated B200 servers?

Four providers publish NVIDIA B200 capacity on their own pages: GMI Cloud, CoreWeave, Together AI, and Lambda. The table below quotes each vendor's own page, with list prices read on October 15, 2026.

The prices in that table are not quoted on the same basis. GMI Cloud prices the GPU itself and provisions the rest to fit the job: "GPU pricing covers the compute resources. Networking and storage are provisioned separately based on your workload requirements." CoreWeave's $68.80 is an instance price that includes 128 vCPUs and 2,048GB of system RAM whether the job needs that much host memory or not. Quote the GPU line and the storage and networking line together before you compare totals.

The phrase "bare metal" is the second thing to read carefully, because across the industry it covers anything from a hypervisor-free node to a Slurm login shell. The phrase that matters for this request is root on the host, and that is the phrase GMI Cloud uses on its GPU page.

What does GMI Cloud's Bare Metal GPU give you?

Bare Metal GPU gives you a dedicated physical server with full root access, single tenancy, persistent local NVMe, and RDMA-ready enterprise networking. It is one of three shapes in which GMI Cloud, an AI-native GPU cloud, rents NVIDIA capacity inside GMI-operated data centers, next to container workloads and managed Kubernetes clusters, and it is the shape built for teams that need the operating system to be theirs.

The GPU page lists what it is best for: "Large-scale model training and fine-tuning", "Long-running, high-utilization GPU workloads", and "Performance-critical inference". The docs are blunter about when to pick it over a container: "Dedicated hosts when you need full OS access, custom drivers, or persistent local NVMe."

Concretely, that means:

• Root on the host. You install the driver and CUDA version your stack is pinned to, load kernel modules, tune the scheduler, and keep a custom container runtime if that is what your pipeline expects. Connection is a plain ssh root@<public-ip> -i /path/to/your/private-key once the key and firewall are in place.
• Single tenancy by default. The pricing FAQ states that "All GPU resources on GMI Cloud are dedicated, single-tenant instances. You get full access to the GPU without sharing with other users, ensuring consistent and predictable performance."
• A real power control surface. Each instance row carries Start, Stop, PowerCycle, and Reboot, and the same four actions are exposed through the API as a type enum on the server action endpoint. PowerCycle asks you to type a confirmation string before it proceeds, which is the behavior you want on a machine that costs five figures a month.
• Persistent local NVMe. The docs name this as one of the three reasons to request a bare-metal host rather than a container. It matters most in data-heavy training loops, where staging a dataset on local disk between epochs is the difference between a GPU that is busy and a GPU that is waiting on object storage.
• Enterprise networking and SLA-backed delivery. The GPU page lists "RDMA-ready networking for high-throughput workloads" and "Isolated VPC networking and enterprise-grade security" among the platform guarantees. On the contract side, the published SLA sizes the remedy to the hardware rather than to a flat percentage: service credits are calculated as the number of GPUs impacted multiplied by the duration of the downtime period, and the document's own worked example is five GPUs unavailable for twelve hours equals 60 service credit hours. Credits are claimed and reviewed under the terms of your Order, so settle the claim window and the uptime tier at contract time.

For a sense of what teams do with dedicated capacity here, the GPU page's Mirelo AI entry reads: "Mirelo AI uses GMI Cloud's dedicated GPU infrastructure to train foundational models with lower cost, faster iteration, and flexible commercial terms," listing "40% lower training costs" and "20% faster training time." Those figures are published against GMI Cloud's dedicated GPU infrastructure as a whole; the full write-up is on the Mirelo case study.

How do you get the network layer right on day one?

On a GMI Cloud Bare Metal GPU instance, three settings decide whether the server is reachable on handover day: the firewall, the Elastic IP, and the VPC and subnet it launches into. The first two are same-data-center rules, the third is a launch-time choice, and the docs spell out the constraint behind each one.

1. Firewall in the wrong IDC. A firewall is scoped to a single IDC, and when you go to attach it, "only instances in the same data center as the firewall are listed." Create the firewall in the IDC you ordered the server in, not the one your last project used. GMI Cloud pre-provisions an "All Open" firewall in every available IDC, and the docs flag it as "useful for testing, but not recommended for production workloads," so plan on a custom rule set with SSH locked to your office or VPN CIDR.
2. Elastic IP in the wrong IDC. Same rule: "Only instances in the same data center as the Elastic IP will appear in the Target Instance list." Allocate the IP where the server lives. Worth budgeting for: a disassociated Elastic IP keeps billing, and releasing one returns it to the pool permanently, so do not release an address your DNS still points at.
3. VPC and subnet decided after launch instead of before. The VPC and subnet are selected when the server is launched, and they set the private address range your node uses to talk to the rest of your fleet. Each data center ships a Default VPC with a pre-configured IPv4 CIDR and a default subnet covering the whole range, which is fine for a first node and worth replacing once you are planning multi-node interconnect.

A 20-minute pass over the Firewalls, Elastic IP, and VPC & Subnets pages before you place the order settles all three while they are still cheap to change.

What does "deployment support" actually look like?

Four steps stand between an order and a root shell: entitlement, spec and capacity, keys and image, then handover. The first one is why bare metal starts with a conversation rather than a checkout, and the docs state that rule plainly: "Bare Metal and Container access is gated per organization."

1. Entitlement. Until Bare Metal is enabled for your organization, the Bare Metals page shows a Contact Support button instead of an instance list. This one is account-level rather than per-server, so clear it before anything else on the checklist.
2. Spec and capacity. B200 is published as Limited Availability, so bring the GPU model, data center, and node count to that first conversation and get capacity confirmed for your order before you build a schedule around it.
3. Keys and image. Register the SSH key first, then create the server with idc, product, name, count, and imageId. The create call accepts count, so a four-node order is one request, and sshKeyIdList lets you seed several engineers' keys at provisioning time instead of editing authorized_keys on a live box.
4. Handover and operations. The instance appears in the Bare Metals table with name, region and IDC, GPU type, status, and IP. Three checks close the handover: SSH in as root with the key you registered, confirm the firewall attached to the instance carries your own rule set rather than the preset "All Open" one, and confirm the Elastic IP is associated if you asked for a stable address. From there your team owns the OS and GMI Cloud owns the hardware, the data center, and the network underneath it, backed by the "24/7 operations & global support" described on the company page.

Two companion reads from the GMI Cloud blog: when to combine on-prem GPUs with cloud GPUs, for teams that already run hardware in their own facility and want the rented nodes to fit that estate, and GMI Cloud's recognition as an NVIDIA Exemplar Cloud on NVIDIA GB300 NVL72 systems for training, if the roadmap after B200 is on your mind.

What does an 8-GPU B200 node cost per month?

At 730 hours, an eight-GPU B200 node starts at $29,200/month on GMI, versus $39,653.60–$57,582.40 in the cited comparison. Terms differ: CoreWeave's $68.80 is on-demand per instance, Together's $6.79 is reserved, Lambda's $9.86 uses a 16-GPU cluster with a two-week to one-year term, and GMI's $5.00 is a starting rate. Compare equivalent quotes rather than treating these as interchangeable offers.

Three qualifiers belong next to those totals. GMI Cloud's $5.00 is a starting rate, so add the networking and storage quote before you compare it with a bundled instance price. Lambda's rate applies to a 16-GPU minimum on a committed term, so the 8-GPU column there is an equivalence calculation rather than something you can order. And before you sign with anyone, ask what starts and stops the meter, including how a stopped server is treated; that answer moves effective cost more than the gap between two hourly rates does.

On the GMI Cloud side, committed usage changes the picture again: "On-demand pricing provides maximum flexibility with pay-as-you-go billing, while committed usage plans offer significant discounts for sustained workloads." If the node is going to run for a year, the quoted commitment rate, not the list rate, is the number to put in the model.

When is bare metal the wrong shape, and what should you run instead?

Bare metal is the wrong shape for short, bursty work that never touches the kernel: that belongs on GMI Cloud's Container Service, and multi-node Kubernetes training you would rather not operate yourself belongs on a Managed GPU Cluster. The decision between the three shapes is mechanical once you answer two questions: do you need the kernel, and does the box stay busy.

The rule of thumb that resolves most cases: if your team would otherwise spend its first week rebuilding a cluster control plane, take the Managed GPU Cluster; if your team would otherwise spend its first week fighting a provider's image to install one driver, take Bare Metal GPU.

FAQ

Does GMI Cloud give root access on B200 bare metal servers? Yes. Bare Metal GPU provides full root and OS-level control, including custom drivers and persistent local NVMe. Register a console SSH key, select it at provisioning, then connect with ssh root@<public-ip> -i /path/to/your/private-key. (GMI Cloud GPU page)

How much does a dedicated NVIDIA B200 server cost on GMI Cloud? The October 2026 starting rate is $5.00 per GPU-hour: $29,200 for an eight-GPU node over 730 hours. Networking and storage are separate; committed-use discounts require a quote. (GMI Cloud pricing page)

Is NVIDIA B200 capacity available right now on GMI Cloud? B200 is marked Limited Availability. Confirm IDC, node count, and start date for the order. H100 from $2.60/hour and H200 from $3.20/hour are marked available now if the workload can begin on Hopper. (pricing page)

Can I bring my own OS image and GPU drivers? Select an available base image through imageId at creation. Root access lets the customer install and pin drivers, CUDA, the container runtime, and kernel settings. Request a special base image during entitlement setup if needed.

How do I open SSH and application ports on a GMI Cloud bare metal server? Create a firewall in the server's IDC, set inbound Type, Protocol, Port Range, and Sources, then attach it under Manage. Restrict SSH TCP 22–22 to an approved CIDR. The preset All Open firewall is for testing, not production.

What is the difference between Bare Metal GPU and a Managed GPU Cluster on GMI Cloud? Bare Metal gives the customer OS and software control above the hardware. Managed GPU Cluster, in early access, provides GMI-operated Kubernetes with H200/B200 nodes; the customer owns workloads rather than cluster lifecycle.

Start the B200 conversation

Work the 15-item checklist above into your RFP, then bring the three answers that let GMI Cloud quote precisely: target IDC, node count and term, and whether you need RDMA interconnect between nodes.

• Check current GPU-hour rates on the GMI Cloud pricing page
• Read the Bare Metal GPU key values and infrastructure guarantees on the GPU infrastructure page
• Walk the provisioning flow in the GPU Compute docs

If Bare Metal access is not yet enabled on your organization, click Contact Support from the console and bring those three answers with you, so we can scope the entitlement and your B200 capacity in one conversation instead of three.