ScaleGenAI offers a private, fine‑tunable large language model hosted on a multi‑region GPU infrastructure that delivers low‑latency, high‑throughput inference for real‑time enterprise workloads. Its optimized inference engine processes requests up to four times faster than leading open‑source runtimes while reducing GPU costs by 3‑9×, and it ensures compliance with regional data jurisdiction requirements.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises deploying large language models face high GPU costs, latency constraints, and challenges scaling compute across regions while meeting data jurisdiction requirements.
Solution
ScaleGenAI provides a private, fine‑tunable LLM hosted on a multi‑region GPU infrastructure optimized for low‑latency, high‑throughput inference. Their inference engine delivers up to four times faster request processing and higher throughput compared to leading open‑source runtimes, while GPU pricing is reduced by 3‑9×, enabling cost‑effective real‑time AI applications. The platform abstracts hardware management, offering seamless scaling across global data centers without GPU quota limits and ensuring compliance with regional data policies. Customers can also fine‑tune the model to specific domains, maintaining control over data and model behavior.
Target Audience
Target customers are enterprises and SaaS providers that require low‑latency, high‑throughput LLM inference for production workloads while controlling infrastructure costs and meeting regional compliance standards.
Features
- Private, self‑hosted LLM with fine‑tuning capabilities for domain‑specific workloads
- Multi‑region GPU clusters that eliminate quota restrictions and support data jurisdiction compliance
- Optimized inference engine delivering up to 4× lower latency and 4× higher request throughput versus vLLM
- Cost‑effective GPU pricing (e.g., H100 at $0.99/hr) achieving 50%+ savings on compute expenses
- Scalable architecture designed for real‑time, business‑critical AI applications such as interactive copilots