GPU capacity, shaped around your workload.
Access globally sourced GPU capacity with options aligned to your workload, deployment region, scale and commercial requirements.
Technology Partners
Start with requirements
The right capacity depends on more than a GPU model.
Model architecture, memory needs, interconnect, data location, utilisation pattern and target start date all affect the right option. Aminexus maps those requirements before capacity and commercial options are evaluated.
Capacity Access
Identify suitable GPU capacity across a global supply network.
Workload Alignment
Match compute, memory and topology requirements to training, fine-tuning or inference workloads.
Deployment Readiness
Coordinate the surrounding cloud, storage, networking and operating environment when required.
Commercial Flexibility
Structure each engagement around location, duration, scale and procurement preferences.
Representative platforms
Evaluate the platform against the workload.
H200 and B300 are examples of the configurations that can be explored. The right option may be a different accelerator when it provides a better technical or commercial fit.
NVIDIA H200
Considered for training, fine-tuning and inference workloads with substantial memory and bandwidth requirements.
NVIDIA B300
Considered for next-generation training and inference requirements where larger per-GPU memory and newer platform capabilities are relevant.
Other configurations
Other accelerator options can be evaluated when workload, location, timing or commercial requirements point to a better fit.
Representative platforms. Model, configuration, location, start date and availability are confirmed during project scoping.
How an engagement runs
Move from requirements to delivery readiness.
1. Requirements
Define workload, model, scale, topology, region, timing and operating constraints.
2. Capacity Mapping
Identify technically suitable options across available supply relationships.
3. Technical & Commercial Validation
Confirm configuration, location, terms, responsibilities and readiness before commitment.
4. Coordinated Delivery
Coordinate access and the surrounding environment according to the agreed engagement scope.
Defined requirement
A concise workload, scale, location, timing and operating brief that can be evaluated consistently.
Validated options
Capacity options considered against both technical fit and applicable commercial requirements.
Delivery readiness
Dependencies around cloud, storage, networking and operations made visible before activation.
Clear responsibilities
Documented roles, decision points and handoffs for the agreed engagement structure.
Questions
AI infrastructure FAQ
Can you guarantee H200 or B300 availability?
No model or start date is treated as confirmed until the workload, configuration, region, timing and applicable terms have been validated for the project.
Can requirements be explored across multiple regions?
Yes. Regional options can be considered, subject to provider availability, data location, network, operating and commercial requirements.
Do we need to know the exact GPU count before contacting you?
No. An initial workload description, preferred region and timing are enough to begin shaping the requirement.
Can Aminexus support the surrounding environment?
Yes, when required. Cloud, storage, networking and operating support can be scoped alongside capacity access or handled as a separate engagement.
Start with the workload and delivery requirements.
Share the model, intended workload, approximate scale, preferred region and timing. We will help map the requirement to suitable next steps.
Discuss your infrastructure requirements