Iluvatar provides AI‑optimized GPU accelerators—including the TianGai, TongYang, and ZhiKai series—paired with the TianShu software stack to deliver high‑throughput training and low‑latency inference while minimizing power consumption. The integrated hardware‑software solution supports major AI frameworks and is targeted at enterprises, cloud providers, and ISVs across industries such as healthcare, energy, finance, education, and manufacturing, helping them reduce total cost of ownership and accelerate AI deployment.
Funding
$95K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Enterprises and AI developers often face a shortage of high‑performance, energy‑efficient compute resources that can handle diverse workloads such as deep‑learning training, inference, and large‑scale data processing. Existing solutions are either costly, power‑hungry, or lack the flexibility to be integrated across multiple industry applications.
Solution
Iluvatar offers a portfolio of AI‑optimized hardware accelerators—including the TianGai, TongYang, and ZhiKai series—designed to deliver high throughput for both training and inference while maintaining low power consumption. These processors are paired with the TianShu AI software stack, which provides a unified programming environment, optimized libraries, and tools for model deployment and management. The combined hardware‑software solution enables customers to accelerate AI workloads across sectors such as smart healthcare, energy exploration, internet services, education, speech processing, manufacturing, and generative content creation. By delivering scalable performance and energy efficiency, Iluvatar helps organizations reduce total cost of ownership and accelerate time‑to‑value for AI initiatives.
Target Audience
Primary customers are AI‑focused enterprises, cloud service providers, and independent software vendors that require high‑performance, cost‑effective compute for machine‑learning workloads across sectors such as healthcare, energy, internet services, education, speech AI, manufacturing, and content generation.
Features
- Dedicated AI accelerator chips (TianGai, TongYang, ZhiKai) optimized for matrix operations and tensor processing
- Integrated TianShu AI software stack with drivers, compilers, and performance‑tuned libraries
- Support for both high‑performance training and low‑latency inference workloads
- Energy‑efficient design targeting reduced power draw per FLOP
- Compatibility with major AI frameworks and industry standards for easy integration
- Modular product lines (e.g., TianGai100/150, TongYang1000‑1200, ZhiKai100) to match varying performance and budget requirements
- On‑premise deployment options for privacy‑sensitive or latency‑critical applications