Power Champion / Company & services
Power Champion connects model access with infrastructure planning. Start with an API for text, vision, image, audio, and retrieval workloads; discuss dedicated GPU capacity when your project needs a deployment of its own.
For product builders, engineering teams, and enterprises turning AI experiments into working applications.
01 / Services
Choose the access path that matches your application and operating model.
For application & AI teams
Connect your product to models for reasoning, vision, images, speech, and retrieval through the Power Champion gateway.
Compare models and integration examples, then follow the access instructions for b300.powerchampion.ai.
Read API documentationFor teams operating their own workloads
Discuss dedicated compute for a model stack, training job, or inference service with its own resource requirements.
Share a workload brief. Configuration, availability, and commercial terms are confirmed through review.
Explore GPU infrastructureFor enterprise & infrastructure teams
Plan a deployment around a specified facility, network, operating model, and data-handling requirements.
Start a deployment discussion with the technical constraints, preferred location, and timeline.
Discuss a custom deployment02 / Applications
These application patterns map to models in the Power Champion catalog. Combine capabilities to fit your workflow.
Product & engineering
Build assistants, coding tools, and multi-step workflows using reasoning, tool calls, and structured responses.
Operations & knowledge teams
Read images, charts, and scanned pages to extract information for review and downstream workflows.
Content & media teams
Generate visual concepts, transcribe recordings, and produce speech from text using the appropriate image or audio model.
Data & platform teams
Create multilingual embeddings and rerank retrieved documents as building blocks for semantic search and RAG applications.
Examples describe catalog capabilities. Check the model details, API documentation, and service status for the current integration requirements and availability.
View all model capabilities03 / Infrastructure
A comprehensive portfolio of NVIDIA data center GPUs to meet different performance, memory, and cost requirements.
| Category | Platform | Best for |
|---|---|---|
| Advanced AI workloads | NVIDIA HGX B300 / B200 | Large-model training and inference; configuration subject to project review |
| Enterprise AI Training | NVIDIA H100 / H200 | Large-scale LLM training, multi-node inference |
| Memory-Intensive AI & HPC | NVIDIA HGX H200 | Large context windows, memory-bound workloads |
| Cost-Efficient AI Workloads | NVIDIA L40S / A100 | Inference, fine-tuning, cost-optimized pipelines |
GPU selection, memory, network, storage, and deployment availability are confirmed for each project. The platform overview is a starting point for review, not a capacity commitment.
04 / Getting started
Start with the application requirement, then choose the model and infrastructure scope that support it.
Use the catalog to compare the task, input type, context window, and model features your application needs.
Review API examples and pricing. Define expected usage, data handling, and the checks that will make your pilot useful.
When your requirements call for dedicated compute or custom deployment, bring the workload brief into an infrastructure discussion.
Referenced in an i-BVI public company-directory listing. This third-party listing is not an official registry and does not establish regulatory approval, ownership, leadership, an office address, or good standing.
Azio AI Holdings announced the agreement in its SEC-filed Exhibit 99.1. The counterparty-reported information describes expected hosting capacity and potential expansion; it does not state that Power Champion has completed deployment or owns a data centre.
Counterparty-reported expectations and estimates; expansion is subject to future customer requirements, site availability, infrastructure readiness, and the agreement terms. No assurance can be given that expansion rights will be exercised or additional capacity deployed.
This information is based on public third-party reporting. It is not an offer of securities, investment advice, performance guidance, or a promise of capacity or service.
Supermicro servers, NVIDIA GPU systems, and Micron storage solutions.