Advanced GPU Sourcing
Connect qualified demand with advanced GPU systems and AI infrastructure supply.
We match projects based on GPU model, quantity, product configuration, delivery location, deployment requirements and commercial terms.
GREEN, with purpose. LINK, with responsibility.
Connecting advanced GPU supply, qualified buyers and deployment partners — from sourcing to real‑world deployment.
Carbon accountability, built in from the start.
From GPU supply to real‑world deployment.
Greenlink is a U.S.-based AI infrastructure sourcing and transaction coordination company focused on advanced GPU systems.
We connect upstream supply with qualified buyers and deployment partners, helping move AI infrastructure from availability to executable transactions and real-world operation.
Our role is to coordinate the critical elements of each project — commercial requirements, compliance information, delivery conditions and deployment readiness — while integrating carbon accountability into the transaction from the beginning.
What we do
Transaction & Deployment Coordination
Coordinate the requirements needed to move a GPU transaction from initial demand to delivery and deployment.
Depending on the project, this may include:
- Corporate KYC & ownership
- End user & end use
- Commercial & delivery terms
- Data center & deployment location
- Power, cooling & network readiness
Green Integration
Build carbon compensation into the AI infrastructure project from the outset.
Where applicable, Greenlink can integrate eligible verified carbon assets into a project and match their retirement to documented operational emissions.
This creates a traceable carbon-compensation record alongside the infrastructure deployment.
Systems we source
Greenlink sources advanced NVIDIA GPU systems through upstream supply partners and coordinates delivery and deployment for qualified buyers. Configurations, quantities and lead times vary by project.
NVIDIA HGX B300
8-GPU server · Blackwell Ultra
Eight Blackwell Ultra GPUs on the HGX server platform, built for AI factories and enterprise clusters.
- GPUs
- 8 × Blackwell Ultra SXM
- GPU memory
- 2.1 TB HBM3e
- NVLink bandwidth
- 14.4 TB/s
- FP4 Tensor Core
- 144 PFLOPS
NVIDIA HGX B200
8-GPU server · Blackwell
Eight Blackwell GPUs for training and inference, widely deployed across cloud and enterprise data centers.
- GPUs
- 8 × Blackwell SXM
- GPU memory
- 1.4 TB HBM3e
- NVLink bandwidth
- 14.4 TB/s
- FP8 Tensor Core
- 72 PFLOPS
NVIDIA GB300 NVL72
Rack-scale system · Blackwell Ultra
Liquid-cooled rack connecting 72 GPUs as a single NVLink domain, built for large-scale reasoning inference and training.
- GPUs / CPUs
- 72 Blackwell Ultra · 36 Grace
- GPU memory
- 20 TB HBM3e
- NVLink bandwidth
- 130 TB/s
- FP4 Tensor Core
- 1,440 PFLOPS
NVIDIA GB200 NVL72
Rack-scale system · Blackwell
Liquid-cooled rack joining 36 Grace CPUs and 72 Blackwell GPUs in one NVLink domain for trillion-parameter models.
- GPUs / CPUs
- 72 Blackwell · 36 Grace
- GPU memory
- 13.4 TB HBM3e
- NVLink bandwidth
- 130 TB/s
- FP4 Tensor Core
- 1,440 PFLOPS
NVIDIA H200
HGX 4- or 8-GPU · Hopper
Hopper-generation GPU with 141 GB of HBM3e, a proven platform for inference and high-performance computing.
- GPU memory
- 141 GB HBM3e per GPU
- Memory bandwidth
- 4.8 TB/s per GPU
- NVLink bandwidth
- 900 GB/s per GPU
- FP8 Tensor Core
- 3,958 TFLOPS per GPU
NVIDIA H100
HGX 4- or 8-GPU · Hopper
Hopper-generation GPU with 80 GB of memory, available in HGX 4- and 8-GPU systems for training, inference and HPC.
- GPU memory
- 80 GB per GPU
- Memory bandwidth
- 3.35 TB/s per GPU
- NVLink bandwidth
- 900 GB/s per GPU
- FP8 Tensor Core
- 3,958 TFLOPS per GPU
Specifications are NVIDIA published figures; Tensor Core performance is shown with sparsity. Availability and configurations are subject to supply, KYC, end-user/end-use review and export-control requirements. NVIDIA, Blackwell and Hopper are trademarks of NVIDIA Corporation; Greenlink is an independent company and is not affiliated with or authorized by NVIDIA.
How it works
- 1
Define
Define the requirement. Confirm GPU model, quantity, delivery, commercial and deployment requirements.
- 2
Match
Match supply with demand. Identify suitable GPU supply, buyers and deployment counterparties.
- 3
Review
Review the project requirements. Coordinate KYC, ownership, end user/end use and deployment information.
- 4
Execute
Move the transaction toward execution. Align commercial terms, documentation, delivery and deployment.
- 5
Compensate
Build in carbon compensation where applicable. Measure the operational footprint and allocate and retire eligible verified carbon assets against that footprint.
All transactions remain subject to applicable KYC, ownership verification, end-user and end-use review, export controls, sanctions screening, site qualification and final transaction documentation.
Compute has a carbon footprint. We build carbon accountability into the transaction.
Every AI infrastructure deployment has an operational carbon footprint. Greenlink is designed to make that footprint measurable and, where appropriate, compensated through eligible verified carbon assets.
Using documented electricity consumption and applicable emissions factors, the operational carbon footprint of a project can be quantified. An equivalent volume of eligible verified carbon credits can then be allocated and retired against that footprint, creating a traceable record of carbon compensation.
Carbon compensation does not change the underlying source of electricity. It is distinct from renewable-energy sourcing. Any project-level environmental claim depends on the underlying energy data, emissions methodology, carbon-credit eligibility and retirement records.
How carbon compensation is documented
Carbon-compensated AI infrastructure
- GPU DeploymentInfrastructure enters operation.
- Energy DataElectricity consumption is documented.
- Carbon FootprintOperational emissions are calculated using applicable emissions factors.
- Carbon Asset AllocationEligible verified carbon assets are matched to the footprint.
- Retirement RecordCorresponding assets are retired to document the compensation.
Looking for GPU infrastructure — or bringing supply to market?
Tell us what you need — or what you can supply. Greenlink will review the key commercial, delivery and deployment requirements and follow up directly.