GPU infrastructure · Austin, Texas

Dedicated GPU Compute, Hosted for Your Workload

Rent high-performance NVIDIA GPU capacity directly from 202 Compute. We host and operate the physical systems while your team gets a documented environment for qualified commercial workloads.

202 / NODE ARCHITECTURESYSTEM DESIGN
GPUACCELERATOR LAYER
NETHIGH-BANDWIDTH FABRIC
RUNCONTAINER RUNTIME
OPSMONITORING LAYER

01 / Infrastructure

Purpose-built systems.
Operational discipline.

We build modern GPU compute environments from the hardware layer through remote operations, with a focus on clear configuration, reliable maintenance, and measured expansion.

01
GPU

NVIDIA GPU hardware

Accelerator-based systems configured around workload and platform requirements.

02

High-bandwidth networking

Connectivity designed to support data movement across demanding compute workloads.

03
CTR

Containerized environments

Portable runtime environments for repeatable deployment and workload isolation.

04
KEY

Secure administration

Controlled remote access practices for system configuration and maintenance.

05
MON

Monitoring & maintenance

Ongoing observation paired with documented operating and maintenance procedures.

06

Expandable designs

Systems developed with capacity growth and evolving deployment needs in mind.

02 / Capabilities

Compute for the workloads being built now.

Infrastructure is developed for a range of AI and compute-platform use cases. Availability depends on active infrastructure deployment and each platform’s technical requirements.

01

AI inference

GPU resources configured for production inference and application-serving workloads.

02

Model deployment

Container-ready environments that support model packaging and deployment workflows.

03

Dedicated GPU compute

Hosted systems assigned directly to qualified customer workloads.

04

Reserved capacity

Predictable infrastructure access shaped around commercial operating requirements.

05

Private workload hosting

Selected hosted workloads evaluated against capacity, security, and operating requirements.

06

Dedicated compute partnerships

Direct infrastructure arrangements shaped around defined commercial workloads.

OPERATIONS / CONTROL PLANE

Administrative accessCONTROLLED
Workload environmentsISOLATED
CommunicationsENCRYPTED
System healthMONITORED
MaintenanceDOCUMENTED

03 / Operations & security

Built with control in mind.

Our operating approach centers on controlled administrative access, isolated workloads, encrypted communications, monitoring, and documented maintenance.

Every deployment is evaluated against the applicable platform’s technical and security requirements. Controls evolve as infrastructure and workload needs develop.

i

Security practices reduce risk; they do not eliminate it. Specific controls depend on deployment scope and platform requirements.

04 / Company

Focused on compute infrastructure.

202 Compute develops and operates high-performance computing infrastructure for artificial intelligence workloads.

Our work focuses on acquiring, configuring, securing, and operating GPU systems for compute-platform participation and selected commercial workloads.

Location
Austin, Texas
Focus
GPU infrastructure
Approach
Measured deployment
Workloads
Artificial intelligence

05 / Current status

Building capacity, step by step.

Our roadmap prioritizes sound infrastructure decisions before scale.

  1. 01
    Infrastructure acquisition

    Hardware evaluation and procurement.

  2. 02
    System configuration & validation

    Assembly, configuration, and workload testing.

  3. 03
    Platform deployment

    Integration based on platform requirements.

  4. 04
    Utilization optimization

    Operational learning and workload tuning.

  5. 05
    Capacity expansion

    Measured growth based on qualified demand.

06 / Request capacity

Let’s discuss what you need to run.

We work directly with companies seeking dedicated hosted GPU capacity. Share the workload, preferred GPU count, software stack, start date, and expected contract term.

Request a compute proposal

Capacity and configuration are confirmed before an agreement is offered.