AI Inference Startup Wafer Raises $40 Million in Series A Funding, Valuation Exceeds $200 Million

The AI inference startup Wafer, with a team of just 8 people, has completed a $40 million Series A funding round, achieving a valuation of over $200 million. The company reached an ARR of $8 million within 3 months, primarily by optimizing the inference performance of existing chips to enhance efficiency. Wafer's technology can automatically adjust models, inference engines, kernels, caches, quantization, and scheduling, seeking the best solutions for hardware such as NVIDIA and AMD, thereby reducing reliance on inference performance engineers. Wafer's self-testing shows that the throughput of GLM 5.2 on AMD MI355X reaches about 80% of that of NVIDIA B200, at less than half the cost. Clients include Vercel and Inworld AI, with Vercel's test results indicating that Wafer's throughput is twice that of other serverless providers. Following the funding, Wafer has begun to expand its team, opening positions in technology, growth, the CEO's office, and GTM, requiring employees to be on-site in San Francisco five days a week, with a base salary of $250,000 for technical roles, plus equity.

This content is provided for general informational purposes only and doesn't constitute financial, investment, legal, or tax advice. Any events, rewards, online promotions, or related information mentioned herein should not be considered a recommendation, solicitation, or invitation to purchase, sell, trade, or otherwise deal in any crypto assets. Crypto assets are highly volatile and may result in loss. The availability of WEEX services, products, and related events may vary by region. You are responsible for ensuring that your participation is in accordance with applicable local laws and regulations.