Dedicated hardware
Physical GPU infrastructure allocated to your team. No shared tenancy or mandatory virtualization layer.
Dedicated GPU infrastructure
Dedicated compute. On your terms.
Mohzi provides dedicated bare-metal GPU capacity for teams running sustained AI workloads. Reserve the hardware for the long term and operate it with the software stack you choose.
No shared GPUs, mandatory hypervisor, or managed orchestration. Your team gets direct access. We focus on the physical infrastructure.
01 / The first deployment
Project_
32 GB300 NVL72 racks. 2,304 GPUs. One planned deployment, built around dedicated access.
Target January 2027 / Password requiredThe model
Hardware from us.
The stack is yours.
We are not another layer between your engineers and their GPUs.
Direct access
Root access and an agreed configuration at handover. Bring your own scheduler, tooling, and workloads.
Delivered on schedule, in writing
Delivery dates, acceptance tests, delay credits, and uptime service levels are written into the agreement. You know when the compute arrives and what happens if it slips.
A longer horizon
Reserve capacity under a long-term agreement. No spot market, resale exchange, or per-minute buying interface.
Why Mohzi
Built by buyers,
for buyers.
We have bought compute for our own use and for portfolio companies. We know the questions that come before a commitment: what am I getting, when can I use it, and who owns the problem when something breaks?
Experience spanning Jump, Modal, Original Capital, and FTX. A shared focus on making the infrastructure decision clearer.
Meet the people behind Mohzi →A few practical questions
Before you commit.
What am I reserving?
Dedicated physical GPU infrastructure for your team’s exclusive use under a long-term agreement. You get bare-metal access, not a shared GPU service, a token API, or a marketplace account.
Who runs the software?
You do. Mohzi delivers the agreed operating system, drivers, CUDA, and firmware baseline at handover. After delivery, your team owns the operating system, orchestration, scheduling, and workloads. Managed Slurm and Kubernetes are not included.
Is Project_DeepThought live today?
No. It is a planned 32-rack GB300 NVL72 deployment, targeting January 2027. Delivery depends on installation and acceptance testing. The final schedule belongs in your signed agreement.
Join us / 02 open roles
Help build the foundation.
One role close to the racks. One close to the buyers.