OpenScale
OpenScale provides an OpenAI-compatible API for running open-weight large language models at up to 50% lower cost than typical providers, charging only for tokens consumed with no idle GPU fees. The platform delivers high throughput—over 200 tokens per second on DeepSeek V4.1 Flash—through tuned kernels, warm capacity, and automatic autoscaling that handles anything from a single request to millions without capacity planning. All request data is processed in memory and not persisted, ensuring zero data retention.
- Artificial Intelligence
- Developer Tools
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Developers and companies that want to deploy open-weight large language models face high infrastructure costs, including idle GPU fees and complex capacity planning. Traditional model providers often lock users into expensive contracts and require significant engineering effort to manage the underlying hardware and scaling.
Solution
OpenScale provides an OpenAI-compatible API that gives developers access to a wide range of open-weight models without managing any GPU infrastructure. The platform uses tuned kernels and warm capacity to deliver high throughput—over 200 tokens per second on DeepSeek V4.1 Flash—while automatically scaling from a single request to millions, eliminating the need for capacity planning. Pricing is linear and usage-based, with customers paying only for the tokens they consume, with no idle GPU fees, seats, minimums, or commitments. The service is designed as a drop-in replacement for the OpenAI API, so any application that can call the OpenAI endpoint can run on OpenScale with minimal code changes.
Target Audience
Primary customers are developers, AI engineering teams, and companies building applications on open-weight large language models who need a cost-effective, scalable, and privacy-preserving inference API without managing their own GPU infrastructure.
Features
- OpenAI-compatible API endpoint supporting Chat Completions, Messages, and Responses API formats
- Automatic autoscaling that handles from a single request to millions without user-side capacity planning
- Tuned kernels and warm capacity for low-latency inference, achieving 200+ tokens per second on DeepSeek V4.1 Flash
- Linear, usage-based pricing with no idle GPU fees, seats, minimums, or commitments
- Zero data retention for Chat Completions and Messages requests, processed in memory and never written to disk
- Optional 30-day storage for Responses API multi-turn state, with a single switch to disable it entirely
- Access to every major open-weight model behind one unified endpoint