B300 compute / Proposed deployment

Build around the workload.

Our proposed initial fleet brings 64 B300 GPUs together in 8 complete Supermicro systems at Mead, Oklahoma. The campus concept places direct-liquid-cooled systems in Buildings A and C. Final equipment, installed costs and engineering acceptance determine procurement and service availability.

SMARTTEC / SPATIAL CONCEPT3D EXPLORER

64 B300 GPUs in 8 complete Supermicro systems. The A/C campus split is illustrative; procurement and commissioning are ahead.

Explore the compute environment.

AI hardware concept · Not installed inventory or an OEM configuration drawing.

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Illustrative hall from the homepage. The current proposal is 64 B300 GPUs in 8 Supermicro systems; the scene is not an OEM layout or installed inventory.

Proposed B300 GPUs
64 Planning count, not available inventory
Complete systems
8 8 B300 GPUs per Supermicro system
Campus concept
Buildings A + C Four-plus-four split is illustrative
Deployment status
Proposed Procurement and commissioning ahead

Eight systems. A complete deployment to validate.

8 complete Supermicro systems

NVIDIA B300 compute

Each proposed system contains 8 B300 GPUs. Management describes complete systems with CPUs, NVSwitch fabric, networking, storage, software and support. Exact configuration, included cluster infrastructure and support terms remain subject to supplier verification.

External networking, storage, installation and ongoing service obligations must be reconciled with the full deployment requirements.

Proposed allocation

60 modeled saleable + 4 held back

The four-GPU reserve is a financial allocation within eight complete systems. It is not a complete standby server or a validated failover design.

Scheduling, maintenance and node-failure recovery need validation before we offer a service level. These GPUs are not currently bookable inventory.

Commercial stage. Planned SmartTec-owned and operated systems; not a purchased or commissioned fleet. Management reports signed three-year marketplace access; no signed customer contracts or guaranteed minimum receipts have been established. Payment is only for rented GPU-hours. Customer availability follows procurement, workload validation and facility and network acceptance.

Choose capacity around the job.

Planned service

Shared inference capacity

Planned inference on SmartTec-owned GPU nodes shared by multiple customers. Scheduling, tenant controls, supported models and performance targets will be validated before service.

Planned service

Dedicated GPU servers

Planned SmartTec-owned GPU servers for one tenant per node. The proposal will define isolation, GPU allocation, software access and support.

Planned service

Colocation

Planned space, power, cooling and connectivity for servers you own, subject to a separate equipment and facility allocation review.

SmartTec-owned hosting has two service modes: shared inference on nodes serving multiple customers, and dedicated GPU servers intended for one tenant per node. Both use the same proposed fleet. The 60-GPU financial allocation does not itself establish how complete eight-GPU servers will be divided between them; deployment design and customer terms must settle that allocation before service.

Tell us the application, model size, memory needs, storage throughput and intended software stack. We assess the required GPU allocation, networking, security, support and service targets against a representative workload.

Inference, rendering and suitable fine-tuning require different software and performance tests. A GPU count alone does not establish throughput, latency or a customer outcome.

The workload planner helps you prepare the model, tenancy, storage and service requirements for a deployment review. Hardware allocation and performance follow validation of that brief.

Initial proposal
8 systems × 8 B300 GPUs64 GPUs in total; planning status.
Cooling concept
Direct liquid coolingExact Supermicro SKU, server coolant requirements and residual room cooling need supplier and engineering confirmation.
Building allocation
Buildings A and CFour systems in A and four in C are illustrated; final allocation and measured fit-out remain subject to design. Gross building area is not usable rack space; equipment, aisles, service access and electrical systems require a measured layout.
Power allocation
Engineering review pendingNo measured OEM load or exclusive continuous site capacity is established by this proposal.

Published model 14 September management target · v6.1.1 cost basis retains an air-cooled, one-building financial baseline. The approved campus experience illustrates a proposed direct-liquid design across Buildings A and C; it requires updated equipment quotes, engineering and repricing before it is included financially. Financial scenarios remain in the protected investor area.

Designed with power and cooling.

The campus concept uses direct liquid cooling for B300 systems in Buildings A and C, with a proposed chiller yard behind B. The owner specifies a closed-loop Daikin plant at 208V; the exact model and compatible operating conditions remain to be confirmed.

A coolant distribution unit (CDU) exchanges heat between separate facility-water and server-coolant circuits. Overhead supply and return pipes feed rack manifolds and server cold plates. Residual room cooling, maintenance access and local-weather performance remain part of the complete design.

Owner-reported Dobson handoff in Building B. The external provider route and internal campus fiber paths remain unverified. The reported handoff location does not establish an accepted or live service.

The campus electrical commissioning milestone is an 8 October 2026 target. Planned Dobson Telephone Company fiber has an 8 October–5 November 2026 target window. These management targets are distinct from completed customer service acceptance.

Explore the infrastructure

Explore the latest campus concept, then trace its cooling, electrical and fiber connections. Equipment placement and routing illustrate the proposal; they do not establish installed capacity.

Bring us your workload.

We review platform fit, capacity, timing and support needs, then develop a proposal with the configuration and commercial terms. You can also discuss colocation for hardware you already own.