Neocloud computing operations
202 Compute builds, deploys, and operates GPU machines as one distributed neocloud. We turn physical infrastructure into a managed computing service for customers—and a structured operating platform for hardware, property, financing, insurance, and strategic partners.
01 / The 202 Compute Network
Customers rent computing capacity from the network. Partners can expand the supply behind it by owning a system we operate or by providing approved space for a 202 Compute machine.
Contract directly with 202 Compute for a defined remote environment. We operate the physical machine while your team uses the assigned capacity for AI, rendering, development, or another qualified workload.
View available compute ↗Purchase a purpose-built GPU system and have 202 Compute deploy and operate it. We connect eligible capacity to our customer network and share covered revenue under a written operating agreement.
Explore system ownership ↗Provide an approved garage or utility space for equipment owned and operated by 202 Compute. We coordinate installation, electricity, connectivity, monitoring, and service; the host receives contract-defined compensation.
Explore property hosting ↘02 / What a neocloud operator does
A GPU alone is not a cloud product. 202 Compute combines each machine with a qualified site, power, connectivity, remote access, monitoring, maintenance, capacity allocation, and a direct customer relationship.
Deploy the infrastructure with the hardware, site, power, networking, cooling, and security required to operate.
Run the fleet through remote access, health telemetry, temperature and power tracking, maintenance, and support.
Serve customer demand by qualifying workloads, assigning capacity, and managing direct commercial agreements.
A discreet infrastructure system operated as part of the wider 202 Compute Network.
03 / Host our equipment
A property host provides a qualified location and permits agreed installation and service access. The machine remains part of the 202 Compute operation; we coordinate the equipment, electricity, internet connectivity, monitoring, maintenance, customer use, and daily management.
WHAT YOU PROVIDE
Share the property location, a short description, and photos of the proposed installation area.
Our team evaluates placement and determines everything needed for a safe, reliable deployment.
Review the compensation, access schedule, responsibilities, and operating terms before moving forward.
202 Compute coordinates the complete setup and manages the site from installation through ongoing service.
We plan and coordinate the installation, power, connectivity, monitoring, and service requirements for the approved location.
Submitting an application does not guarantee placement or income. Host eligibility, equipment configuration, electrical work, compensation, and operating terms depend on technical review and a signed agreement.
05 / Business and partnership overview
Standardized compute configurations, documented components, managed enclosures, networking, and deployment requirements create a defined physical asset base.
Machine health, utilization, temperatures, power, energy, connectivity, and availability are brought into a private operating console for day-to-day management.
Eligible capacity is offered through direct customer relationships and qualified workloads, with commercial terms documented for each customer and partner arrangement.
202 Compute / Infrastructure economics
Explore how rental pricing, utilization, financing, and retained hardware value shape the economics of a GPU system.
01 / Market context
Jan 2025: $2.99 +33%
Jan 2025: $3.99 +33%
Current snapshot only
Used in the scenario below
Runpod Secure Cloud list prices in USD per GPU-hour; dated observations, not market averages or 202 Compute prices. H100 and H200 changes compare January 2025 with October 2026. Announcements precede provider availability. View sources ↗
An eight-GPU B300 server was reported at approximately $500k in late 2025 → $550k in April 2026 in the US. These purchase-price observations do not establish what a used system will resell for.
Reuters reporting ↗02 / Ownership model
8 × NVIDIA B300 · 36-month analysis · USD
Runpod Secure Cloud · USD · dated list-price observations
Each snapshot holds its rental rate constant using your current utilization, owner share, system cost, and operating costs. Payback = system cost ÷ monthly operating cash. Scales are shared within each metric; a shorter payback is better. These are modeled comparisons, not historical earnings.
Before deducting initial cash invested and remaining debt.
Modeled surplus after recovering initial cash, including assumed sale and repayment of remaining debt.
| Year | Owner revenue | Operating costs | Debt service | Net cash flow |
|---|
Scenario model, not a forecast or an offer. Revenue = 8 GPUs × 730 hours × rate × billable utilization × owner share. Loan payments are fully amortizing; rate changes compound monthly. Cash recovery means cumulative distributions have covered the down payment, not that the loan is repaid. Resale occurs only at the end of the selected holding period. Taxes, transaction costs, financing fees, and costs beyond the operating-cost input are excluded. No 202 Compute operating results are represented here.
Research checked October 15, 2026. Provider list rates can change; delivered capacity, contract length, region, and configuration affect pricing. Higher rates in selected observations do not establish that every GPU or rental market appreciates.
Only comparable, sourced historical rental observations are shown. B200 and B300 have no historical percentage change here. Purchase cost, owner share, utilization, operating costs, financing, rental-rate change, and resale retention in the calculator are editable assumptions, not vendor quotes or offered terms.
The 202 Compute thesis
We are building the operating layer between high-performance GPU hardware and the organizations that need access to it. Each deployment is intended to be identifiable, monitorable, serviceable, and commercially accountable.
A professional diligence path
Serious financing, insurance, infrastructure, and qualified investment conversations can move through a structured review. We share the materials relevant to the proposed relationship, confirm responsibilities, and document the final scope before capital is committed.
Request the partner briefingIdentify the proposed financing, policy, partnership, or investment discussion and the information each party needs.
Examine relevant specifications, budgets, deployment plans, operating procedures, telemetry, and commercial support.
Document ownership, security interests, insurance obligations, maintenance, reporting, access, and commercial terms.
Capital, coverage, or partnership activity begins only after diligence is complete and final agreements are executed.
AVAILABLE FOR QUALIFIED REVIEW
This website is a business overview only. It is not an offer to sell securities, a promise of financing, or a guarantee of revenue, utilization, asset value, insurance coverage, or investment return. Any relationship requires separate diligence and definitive written agreements.
06 / Start a conversation
Request dedicated GPU capacity, purchase a system for 202 Compute to operate, submit a property to host equipment, or begin a financing, insurance, or strategic capital discussion. We will confirm fit, explain the structure, and outline the next step.
No purchase, placement, financing, coverage, revenue, or return is guaranteed. Final scope and terms require independent review and signed agreements.