Build AI provides a cost-effective GPU cloud platform for training machine learning models by utilizing interruptible workloads powered by renewable energy, allowing users to save up to 50% on training costs. The service addresses the high energy expenses associated with AI model training by strategically pausing operations during peak hours, enabling more efficient use of resources.
Funding
Funding not disclosed
Founders
Product
Problem
Training large AI models requires significant computational resources, leading to high energy consumption and substantial costs, especially during peak demand hours. Traditional cloud providers often lack cost-effective solutions that leverage renewable energy sources and flexible scheduling to minimize expenses.
Solution
Build AI offers a cost-optimized GPU cloud platform specifically designed for training machine learning models. By strategically utilizing interruptible workloads and prioritizing renewable energy sources, Build AI enables users to reduce training costs by up to 50%. The platform intelligently pauses operations during peak energy demand, leveraging predictable spot instances and passing on savings from renewable energy and grid stabilization incentives to customers. This approach allows for more efficient resource utilization and a reduced environmental impact, without significantly increasing training time.
Target Audience
Build AI primarily targets companies and AI researchers who spend upwards of $10,000 per month on pre-training or fine-tuning machine learning models and are looking for cost-effective GPU resources.
Features
- Predictable spot instances with scheduled interruptions during peak energy hours (e.g., 5-8pm CT)
- Access to A100 SXM 40GB, A100 SXM 80GB, and H100 SXM 80GB GPUs
- Support for data transfer and checkpointing to minimize lost work during interruptions
- Secure data storage solution with an S3-compatible API
- Access to instances via SSH
- Usage and billing monitoring tools
- Modular data centers located near renewable energy sources