High-performance NVIDIA GPUs located in Michigan for fast, secure AI development - while strengthening local forests and removing more carbon than we produce.
Designed for teams that need real GPU power, local collaboration, and a tangible climate-positive impact - without hyperscaler complexity.
We start with a single 8-GPU node and scale to larger clusters over time. Annual clients can request custom GPU configurations and dedicated infrastructure.
A standard deployment is an 8-GPU node with RTX Pro 6000 Server / L40-class performance, ready in under 45 days for qualified clients. By leveraging NVIDIA MIG (Multi-Instance GPU) technology, we can partition each RTX Pro 6000 S into 4 independent 24GB GPU instances, effectively enabling us to serve up to 32 smaller clients or one larger client with greater GPU resource flexibility.
Ideal for:
Options for dedicated or shared infrastructure, private networking, and integration with your existing security controls.
Start on one GPU and grow into multi-GPU and multi-node configurations as additional Blackwell-class nodes come online in Ann Arbor.
Each node is built around dual AMD EPYC Turin/Genoa processors and eight NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, with dense DDR5 memory and NVMe storage.
Our standard node is engineered for sustained, high-power AI workloads, integrating dual EPYC CPUs, dense DDR5 ECC memory, and eight Blackwell GPUs with modern PCIe 5.0 I/O.
Designed to handle dense GPU power envelopes safely and reliably.
Built for secure, operator-friendly access in a managed Ann Arbor environment.
In addition to GPU workloads, we carve out dedicated CPU and memory capacity on our nodes for web applications, APIs, and general-purpose virtual machines.
Each node is backed by 2× AMD EPYC 9554 processors and dense DDR5 ECC, giving you modern CPU performance for web stacks, APIs, and background jobs alongside GPU workloads.
Tiers are examples only – we’ll right-size vCPU, memory, and storage to your workloads when we scope your deployment.
Final pricing is based on hardware configuration, reservation term, and workload profile. We start with a short call to match you to the right model.
Choose how you engage with GBL Servers - from shorter pilot runs to fully reserved, dedicated capacity.
No obligation. We’ll only recommend a configuration we’d deploy for our own workloads.
GBL Servers is an Ann Arbor GPU compute provider delivering secure, local access to AI infrastructure - with a mission to improve Michigan’s natural systems.
GBL Servers is an Ann Arbor GPU compute provider delivering secure, local access to AI infrastructure. We serve teams that need real GPU power, close collaboration, and infrastructure they can understand end-to-end.
Our regenerative model removes more carbon than we produce by improving Michigan forest ecosystems and protecting local natural resources. A portion of profits directly supports forest restoration, conservation, and long-term stewardship in the region.
We treat each deployment as a long-term partnership: tuning hardware to workloads, aligning security and connectivity requirements, and ensuring that the compute you rely on is backing a healthier local environment.
A quick 15–30 minute conversation to align on workloads, timelines, and availability. From there, we move straight into planning a deployment.
Use the calendar link below to choose a time that works for you. If you prefer, you can also call directly.
Tell us about your organization and what you’re planning to run. We’ll follow up with availability and next steps.
