Featherless AI

Builds: Serverless Inference @ https://t.co/JlJGWeTUpR Also: Attention-Killers AI (RWKV) from scratch @ https://t.co/YL7CbNYKBs

Featherless runs open-source AI models behind a single API, letting developers and enterprises call thousands of models without provisioning GPUs or managing servers. The platform supports over 30,000 open models across language, vision, and audio, enabling developers to deploy production-grade AI instantly , and the company describes itself as a neutral layer for AI, unaligned with any hyperscaler, chipmaker, or proprietary ecosystem . The target user is the team that wants to build on models it can audit and swap, rather than depend on a closed proprietary endpoint. This launch marks the company's Series A. Featherless.ai secured $20 million in Series A funding, co-led by AMD Ventures and Airbus Ventures, with participation from BMW i Ventures, Kickstart Ventures, Panache Ventures, and Wavemaker Ventures . The capital will be used to scale global infrastructure, launch a dedicated marketplace for specialised open models, and deepen technical integration with diverse hardware architectures to continue driving down the cost of AI inference . The timing reflects a broader pull toward jurisdictional control and hardware diversity, with core infrastructure hosted in the US and EU and a global team across Canada, Europe, the US, Singapore, and Australia , plus a strategic collaboration with AMD that ensures the world's most popular open-source models run natively on AMD ROCm . The company is co-founded by Eugene Cheah (CEO), Harrison Vanderbyl (CTO), and Wesley George (COO) , the same group behind RWKV, an open-source architecture designed to challenge the traditional dominance of transformers . That research lineage shapes the inference work here, and frames the Series A as a bet that open models, run on neutral infrastructure across multiple chip vendors, can hold their own against the small set of closed stacks currently absorbing most AI demand.

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