DECENTRALIZED COMPUTE, EXPLAINED

Physical machines.
Distributed capacity.

Decentralized compute uses independently operated hardware in multiple locations instead of relying on one centralized cloud provider. Customers gain another path to GPU capacity while infrastructure operators keep the physical systems running.

01Your workloadModel · container · data
02Secure environmentAccess · isolation · runtime
03Hosted GPUsCompute · monitoring · support

01 / The model

Compute does not have to live in one hyperscale cloud.

A distributed infrastructure model connects real GPU systems operated by independent providers. Those systems can support AI and other compute-intensive workloads when customers need additional or dedicated capacity.

1

Operators own the hardware

Physical GPU nodes are acquired, hosted, connected, secured, monitored, and maintained by infrastructure operators.

2

Customers bring workloads

A company defines its software, compute, storage, networking, access, and operating requirements.

3

Capacity is matched

Available systems are evaluated against the workload before access and commercial terms are confirmed.

4

Work runs remotely

The customer accesses the assigned environment while the operator maintains the underlying physical infrastructure.

02 / Rent directly from 202 Compute

A direct relationship from requirements to running capacity.

You contract with 202 Compute for hosted capacity. We coordinate the infrastructure, deployment, access, monitoring, and support defined in the agreement.

  1. 01

    Describe the workload

    Share GPU count, memory needs, framework or container, utilization pattern, data requirements, preferred start date, and expected term.

  2. 02

    Confirm technical fit

    We review available hardware, environment requirements, connectivity, storage, security, and operational support.

  3. 03

    Receive a capacity proposal

    The proposal documents the assigned configuration, access model, service scope, commercial structure, and availability window.

  4. 04

    Deploy and validate

    The environment is configured and validated against the agreed workload before sustained use begins.

  5. 05

    Run with ongoing monitoring

    202 Compute monitors hardware health and coordinates infrastructure maintenance throughout the engagement.

RESPONSIBILITY MODEL

Physical hardware202 COMPUTE
Hosting & connectivity202 COMPUTE
Health monitoring202 COMPUTE
Workload definitionCUSTOMER
Application & dataAGREED SCOPE

03 / Clear responsibilities

Infrastructure support without unclear ownership.

Every deployment begins with a documented scope. Responsibilities for the physical node, software environment, application, data, security controls, maintenance, and support are defined before work begins.

Specific service levels and controls depend on the contracted configuration and workload.

START A CONVERSATION

Need dedicated GPU capacity?

Send your technical requirements and timeline. We will evaluate fit and respond with the next step.

Discuss your workload