01
Distribution
Expose GPU capacity to additional demand channels.
GPU Infrastructure / Distribution / Revenue Management
GPU infrastructure,
delivered intelligently.
GPU.delivery is building a multi-provider GPU distribution and revenue-management layer for infrastructure operators and compute buyers.
Multi-provider · Non-exclusive partnerships · API-first architecture
The infrastructure layer
One commercial layer across GPU infrastructure.
GPU infrastructure is fragmented across providers, regions, hardware classes, pricing models and provisioning systems.
GPU.delivery is building a single layer for sourcing, distribution, provisioning and revenue management across that fragmented supply.
02
Provisioning
Standardize access across multiple infrastructure providers.
03
Pricing
Manage commercial positioning and pricing constraints across supply.
04
Reporting
Track availability, usage and realized revenue with explicit data provenance.
For infrastructure operators
Add another distribution channel.
Keep control of your infrastructure.
GPU.delivery is designed to complement existing sales channels rather than replace them.
Discuss Infrastructure PartnershipCurrently onboarding infrastructure and supply partners.
01
You retain ownership
Hardware remains under your operational control.
02
Non-exclusive
Existing customers and sales channels remain yours.
03
Pricing constraints
Partners can define minimum acceptable commercial terms.
04
Incremental demand
GPU.delivery focuses on additional demand and distribution.
05
Transparent reporting
Availability, usage and revenue are tracked separately.
For compute buyers
GPU capacity without being locked into one provider.
GPU.delivery is building a unified commercial layer for accessing GPU infrastructure across multiple suppliers, hardware classes and regions.
Hardware categories
RTX 4090
RTX 5090
A100
H100
H200
RTX PRO
Hardware shown represents target / supported infrastructure categories. Availability depends on provider inventory.
Multi-provider sourcing
One commercial relationship
Infrastructure matching
Flexible deployment models
Provider abstraction
How it works
Infrastructure in. Compute demand out.
01 — SUPPLY
Infrastructure providers
GPU clouds, data centers, bare-metal operators, render infrastructure.
02 — GPU.DELIVERY
The delivery layer
Distribution, provisioning, pricing, routing intelligence, reporting.
03 — DEMAND
Compute workloads
AI workloads, inference, training, rendering, engineering compute.
INFRASTRUCTURE PROVIDERS
HOST / CLOUD / DATACENTER / RENDER
GPU.delivery
DISTRIBUTION / PROVISIONING
PRICING / ROUTING / REPORTING
COMPUTE BUYERS
Current stage
Building the supply layer now.
GPU.delivery is currently onboarding infrastructure providers, validating commercial integrations and preparing the first multi-provider supply connections.
We are interested in speaking with
- GPU clouds
- Dedicated / bare-metal GPU providers
- Data centers
- Render farms
- Infrastructure operators with provider-owned GPU capacity
- Technology partners with provisioning APIs
FAQ
Direct answers.
Is GPU.delivery a GPU cloud?
GPU.delivery is building a distribution and orchestration layer across multiple infrastructure providers rather than operating as a single-provider cloud.
Do infrastructure partners give up control of their GPUs?
No. The partnership model is designed around provider control, defined availability and commercial constraints.
Are you already integrated with every provider shown?
No supplier logos are shown anywhere on this site. GPU.delivery is currently onboarding and validating its initial provider integrations.
What hardware do you work with?
The initial focus includes high-demand RTX and datacenter GPU classes such as RTX 4090/5090, A100, H100, H200 and professional GPU infrastructure, subject to provider availability.
Operate GPU infrastructure?
Let's build an additional distribution channel.
Infrastructure · Reseller · API · White-label · Capacity partnerships