Funding
Funding not disclosed
Founders
Product
Problem
Independent AI research teams often face low GPU utilization and unpredictable compute needs, forcing them to over‑provision for peak training runs and waste resources during idle periods. This results in 30‑40% of FLOPs remaining unused while teams still feel under‑resourced, limiting the number of frontier projects that can be pursued.
Solution
Amppublic offers a shared compute platform that aggregates idle GPU capacity from multiple independent AI teams into a pooled infrastructure. The platform dynamically schedules and orchestrates both high‑intensity training jobs and low‑intensity inference workloads across tenants, matching supply with demand in real time. By providing multi‑tenant resource allocation, teams can access scalable compute without the need to over‑provision, reducing waste and improving overall FLOP utilization. The service abstracts the underlying hardware, allowing teams to focus on model development while the platform handles job placement, scaling, and load balancing. This approach enables a healthier ecosystem of independent frontier AI groups, increasing total innovation per unit of physical compute resources.
Target Audience
Primary customers are independent AI research labs, startup AI teams, and frontier model developers that require high‑performance GPU compute but lack the scale to maintain dedicated clusters.
Features
- Centralized GPU pool that consolidates idle capacity from participating teams into a single, elastic resource pool
- Real‑time multi‑tenant scheduler that matches compute demand to available GPU capacity for both training and inference
- Dynamic scaling engine that automatically expands or contracts allocated resources based on workload peaks and troughs
- Usage‑based billing model that charges only for actual GPU time consumed, eliminating over‑provisioning costs
- API and CLI tools for seamless integration with existing training pipelines and inference services
- Monitoring dashboard showing utilization metrics, job status, and cost analytics for each tenant