Single Tenant Bare Metal GPU & CPU on Megaport
Single Tenant Bare Metal GPUs and CPUs on a Private Layer 2 Fabric
Key Takeaways
Bare metal GPU and CPU cloud infrastructure provides single tenant physical servers and NVIDIA Blackwell B300, H200, and H100 clusters without hypervisor overhead. Powered by Latitude.sh on the Megaport private fabric across 24 data centers in 26 countries, on demand CPU nodes deploy in minutes while custom GPU clusters link privately to your clouds and zero egress storage.
Hyperscaler virtualization overhead, noisy neighbor contention, and 6 to 8 month OEM server supply chain backlogs stall enterprise AI initiatives. Through Megaport and its acquisition of Latitude.sh, Obsidian X sources single tenant bare metal CPU servers and NVIDIA GPU clusters across 24 data centers in 26 countries connected directly to your private cloud and colocation backbone.
Latitude.sh + Megaport: Why Bare Metal Beats Virtualized Hyperscaler GPUs
When enterprises run AI fine tuning, retrieval augmented generation (RAG), or low latency agentic inference on shared public cloud instances, two bottlenecks appear immediately: hypervisor virtualization taxes raw GPU and NVMe throughput, and moving training datasets out of AWS, Azure, or Google Cloud triggers punitive public internet egress charges.
Following Megaport's acquisition of Latitude.sh (announced November 17, 2025), single tenant bare metal CPU and NVIDIA GPU servers sit directly on the Megaport private Layer 2 and Layer 3 network fabric across 24 compute data centers in 26 countries. Your workloads get 100 percent of the physical server's PCIe lanes, RAM, and local NVMe drives with zero noisy neighbor contention, while private Virtual Cross Connects (VXCs) link those servers directly to your colocation cages, AWS, Azure, Google Cloud, and zero egress storage.
On Demand Bare Metal CPU vs Scoped Multi Node NVIDIA GPU Clusters (and Planned Layer 2 AI Inference Cloud)
Enterprise buyers use the Latitude.sh and Megaport compute fabric for two distinct operational needs: immediate bare metal CPU capacity to bypass 6 to 8 month OEM server delivery delays, and dedicated NVIDIA GPU clusters for AI training and inference. Setting accurate provisioning expectations upfront is essential for project planning:
| Compute Tier | Hardware & Architecture Profile | Provisioning & Scoping Model | Primary Enterprise Use Cases |
|---|---|---|---|
| On Demand Bare Metal CPU Nodes | Single tenant AMD EPYC and Intel Xeon physical servers with high speed local NVMe and 20 TB included outbound public transfer | Spins up immediately (in minutes) via portal, API, or Terraform across 24 data centers in 26 countries | Bridging 6 to 8 month Dell, HPE, or Cisco server supply chain backlogs; low latency databases, Kubernetes nodes, and high frequency workloads |
| Dedicated NVIDIA GPU Instances & Multi Node Clusters | Single tenant NVIDIA Hopper (H100, H200), L40S, A100, and next generation NVIDIA Blackwell B300 GPU configurations | Scoped per workload and cluster size directly with Megaport and Latitude.sh engineering | LLM fine tuning, private enterprise RAG pipelines, computer vision, and high throughput batch or real time inference |
| Megaport Layer 2 AI Inference Cloud (Planned) | Fabric integrated distributed AI inference endpoints connected natively over Layer 2 VXCs | Marked Planned on Slide 22 of the October 2026 Megaport partner architecture roadmap; scoped via early architecture review | Sub millisecond regional AI agent inference linked privately to enterprise SaaS, CCaaS, and cloud databases |
Solving the 6 to 8 Month Physical Server Supply Chain Backlog
During our October 2026 engineering reviews with Megaport, one of the fastest growing enterprise use cases is supply chain bridging. IT leaders ordering physical servers for a new colocation deployment or data center refresh frequently face 6 to 8 month hardware lead times from OEMs, putting application cutovers and lease deadlines at risk.
By spinning up Latitude.sh bare metal CPU servers on flexible month to month or 12 to 36 month terms and linking them back to existing colocation cabinets or cloud VPCs over a Megaport VXC, enterprises stand up production environments immediately and either keep the workloads on bare metal or migrate seamlessly once owned hardware arrives.
Back to Cloud Connectivity & GPU Fabric HubZero Egress Storage, VAST Data NVMe & NAT GatewayDirect Connect, ExpressRoute & Megaport NaaSData Center Interconnect (DCI) & Texas On RampsAI and intelligent automation consulting
Key benefits of our Bare Metal GPU & AI Compute practice
Zero Hypervisor Virtualization Tax
Single tenant physical CPU and NVIDIA GPU servers give your workloads 100 percent of the hardware resources with zero noisy neighbor jitter.
Private Layer 2 Links to Clouds & Storage
Connect bare metal GPU and CPU clusters directly to AWS, Azure, Google Cloud, colocation racks, and Wasabi or VAST Data zero egress storage over Megaport VXCs.
24 Compute Data Centers in 26 Countries
Deploy bare metal compute close to your users and data sources across North America, Latin America, Europe, and Asia Pacific on the Latitude.sh and Megaport footprint.
Bridge 6 to 8 Month Hardware Backlogs
Spin up on demand bare metal CPU instances in minutes when OEM server delivery delays threaten a data center exit, repatriation project, or new application launch.
NVIDIA Blackwell B300, H200 & H100 Access
Work with Obsidian X and Megaport engineering to scope dedicated NVIDIA Hopper and Blackwell GPU clusters tailored to your exact model weights and throughput.
Flexible Hourly or Term Commitments
Use on demand hourly or monthly billing for burst workloads and hardware stopgaps, or lock in 12, 24, and 36 month reservations for up to 30 percent compute savings.
Where it pays off
Private Enterprise LLM Fine Tuning & RAG
Keep proprietary corporate datasets off the public internet by connecting enterprise colocation or cloud databases privately into single tenant NVIDIA GPU nodes.
Hardware Supply Chain Stopgap
Deploy bare metal AMD EPYC or Intel Xeon servers in minutes to hit project deadlines while waiting 6 to 8 months for purchased physical servers to ship.
Zero Egress AI Training Pipelines
Pair Latitude.sh GPU clusters with Megaport High Performance NVMe Storage powered by VAST Data (up to 1 Tbps with NFS, RDMA, and GPUDirect) with zero egress fees.
Cloud Repatriation Without CapEx Lock In
Move steady state compute and database workloads off expensive hyperscaler virtual machines onto predictable single tenant bare metal connected via Megaport MCR.
From first look to proven results
- 01
Compute, Model & Dataset Sizing
We document your CPU core counts, GPU memory requirements (H100, H200, L40S, or Blackwell B300), storage throughput, and target metro latency.
- 02
Fabric & Storage Topology Design
Our engineers design the private Layer 2 and Layer 3 links connecting your bare metal nodes to AWS, Azure, Google Cloud, colocation racks, and zero egress storage.
- 03
Provider & Colocation Benchmarking
We compare Latitude.sh on Megaport against specialized GPU clouds and owned hardware in colocation across 250+ suppliers so you see the true 12 to 36 month TCO.
- 04
Cluster Provisioning & Private Cutover
We coordinate instant CPU node turn up or custom GPU cluster reservation, configure private VLANs and VXCs, and validate end to end throughput.
Bare Metal GPU & AI Compute in your industry
Frequently Asked Questions
Questions buyers actually ask about bare metal gpu & ai compute, answered plainly.
How did Latitude.sh become part of the Megaport fabric?
Megaport announced the acquisition of Latitude.sh on November 17, 2025 to integrate global bare metal CPU and NVIDIA GPU compute directly into Megaport's software defined network fabric. Instead of buying bare metal from a standalone server host and hauling traffic over the public internet, enterprises provision Latitude.sh bare metal instances across 24 data centers in 26 countries with native Layer 2 and Layer 3 connectivity to over 318 cloud on ramps and 1,000+ enabled locations.
Do bare metal CPU servers and NVIDIA GPU clusters spin up at the same speed?
Standard single tenant bare metal CPU servers spin up on demand in minutes via web portal, API, or Terraform, making them ideal for immediate capacity bursts or bridging 6 to 8 month physical server delivery delays. Dedicated multi node NVIDIA GPU clusters (such as H100, H200, and Blackwell B300 configurations) and Megaport's Layer 2 AI Inference Cloud (marked Planned on Slide 22 of the October 2026 architecture roadmap) are scoped per workload and capacity reservation with Megaport engineering.
Why choose bare metal GPUs over virtualized GPU instances in AWS, Azure, or Google Cloud?
Bare metal GPU servers eliminate hypervisor overhead, giving your training and inference workloads direct access to PCIe lanes, NVMe storage, and GPU memory with zero noisy neighbor contention. Furthermore, when paired with Megaport's private fabric and zero egress storage powered by VAST Data and Wasabi, you avoid the steep outbound data transfer fees hyperscalers charge when moving datasets between clouds or regions.
How do enterprises use Latitude.sh bare metal to solve hardware supply chain delays?
Lead times for high density enterprise servers frequently stretch 6 to 8 months. Rather than delaying a data center consolidation, cloud repatriation, or new customer deployment, IT teams provision single tenant bare metal CPU nodes on Latitude.sh in minutes and connect them privately back to their existing colocation racks or cloud VPCs over a Megaport Virtual Cross Connect.
How do bare metal GPU clusters connect to high speed storage for AI training?
Bare metal GPU clusters on the Megaport fabric connect directly over private Layer 2 circuits to Megaport High Performance Storage powered by VAST Data, which delivers up to 1 Tbps of sustained throughput over NVMe flash using NFS, NFS with RDMA, GPUDirect, and SMB protocols, with zero egress fees, zero API fees, and zero retrieval fees.
Should we rent bare metal GPUs on a fabric or buy our own GPU racks in colocation?
Both architectures have a clear place. Renting bare metal CPU and GPU instances on Latitude.sh and Megaport wins when you need rapid deployment, zero CapEx, multi region global distribution, or flexible 1 to 36 month terms. Buying hardware and placing it in high density liquid cooled colocation often wins for steady multi year workloads at scale. Obsidian X models both options side by side with no fee for our advisory work and no obligation to buy.
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