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Featherless.ai pulls in $20M to scale serverless hosting for open-source AI models - SiliconANGLE
Featherless.ai pulls in $20M to scale serverless hosting for open-source AI models Featherless.ai Inc., a serverless inference platform startup that hosts open-source artificial intelligence models, today revealed it had raised $20 million in new funding to expand its global infrastructure and launch a marketplace for specialized open models. Founded in 2024, Featherless.ai pitches itself as a neutral hosting layer for enterprises that want to run open-source AI without committing to a single proprietary cloud or hardware stack. The company's platform serves more than 30,000 open models spanning language, vision and audio and is billed as the fastest-growing inference partner on Hugging Face. Customers access models through a single application programming interface, with Featherless.ai handling the underlying graphics processing unit allocation, scaling and routing. The company argues that its approach lowers the barrier for enterprises that want to test or deploy niche open models without standing up dedicated infrastructure for each one. "We didn't just build an inference engine, we built an AI optimization stack: inference, model and workflow optimization working together as a system," the company said in a statement. "This is how we deliver performance and cost efficiency that closed platforms can't match on a single model, let alone thirty thousand." Featherless.ai co-founder and Chief Executive Officer Eugene Cheah is one of the creators of RWKV, an open-source model architecture developed under the Linux Foundation that uses a recurrent design as an alternative to transformer-based systems. He co-founded the company with Chief Technology Officer Harrison Vanderbyl and Chief Operating Officer Wesley George, with the founding team drawn from the RWKV open-source community. The Series A round was co-led by AMD Ventures and Airbus Ventures, with BMW i Ventures, Kickstart Ventures, Panache Ventures and Wavemaker Ventures also participating. Featherless.ai plans to use the new funding in three areas. It plans to scale infrastructure across additional regions, launch a dedicated marketplace for fine-tuned and specialized open models and deepen integration with a wider range of hardware architectures, including AMD accelerators, to push inference costs lower. The funding comes as enterprise buyers continue to weigh the cost and lock-in tradeoffs of frontier proprietary models from companies including OpenAI Group PBC and Anthropic PBC against a growing catalog of open-weights releases from Meta Platforms Inc., Mistral AI SAS, Alibaba Group Holding Ltd. and others. Before today's new funding, Featherless.ai had previously raised a $5 million seed round in 2025 with backing from Airbus Ventures.
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Startup News Today: Featherless.ai Raises $20M Led by AMD Ventures and Airbus Ventures
By ensuring that state-of-the-art models remain accessible outside proprietary 'walled gardens', the firm provides developers with the creative flexibility to build the next generation of applications. AI firm Featherless.ai has secured $20 million in Series A funding co-led by AMD Ventures and Airbus Ventures. The company revealed in a statement on Thursday (April 30, 2026) that the funding round saw participation from BMW i Ventures, Kickstart Ventures, Panache Ventures, and Wavemaker Ventures. "When a few dominant players control the entire stack, it stifles competition and limits what developers can imagine. We're building the infrastructure that makes open-source AI practical and reliable at scale, ensuring that enterprises can build on a foundation they actually own rather than one they merely rent," said Eugene Cheah, Chief Executive Officer and co-Founder of Featherless.ai.
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Featherless.ai announced $20 million in Series A funding led by AMD Ventures and Airbus Ventures to expand its serverless inference platform. The startup hosts over 30,000 open-source AI models and plans to build a marketplace for specialized models while reducing infrastructure costs for enterprises seeking alternatives to proprietary AI systems.
Featherless.ai has raised $20 million in Series A funding led by AMD Ventures and Airbus Ventures, marking a significant milestone for the serverless inference platform startup
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. The funding round, announced on April 30, 2026, also drew participation from BMW i Ventures, Kickstart Ventures, Panache Ventures, and Wavemaker Ventures2
. Founded in 2024, the company positions itself as a neutral infrastructure for open-source AI that enables enterprises to deploy models without locking into proprietary systems or specific hardware stacks1
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Source: SiliconANGLE
The startup's platform currently serves more than 30,000 open models spanning language, vision, and audio capabilities, establishing itself as the fastest-growing inference partner on Hugging Face
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. Customers access these models through a single application programming interface, while Featherless.ai manages the underlying graphics processing unit allocation, scaling, and routing behind the scenes. This serverless hosting for open-source AI models eliminates the need for enterprises to build dedicated infrastructure for each model they want to test or deploy1
."We didn't just build an inference engine, we built an AI optimization stack: inference, model and workflow optimization working together as a system," the company stated, emphasizing how this approach delivers performance and cost efficiency that closed platforms struggle to match across such a vast model catalog
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.Co-founder and Chief Executive Officer Eugene Cheah brings deep expertise from creating RWKV, an open-source model architecture developed under the Linux Foundation that uses a recurrent design as an alternative to transformer-based systems
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. He co-founded Featherless.ai with Chief Technology Officer Harrison Vanderbyl and Chief Operating Officer Wesley George, with the founding team emerging from the RWKV open-source community1
."When a few dominant players control the entire stack, it stifles competition and limits what developers can imagine," Cheah explained. "We're building the infrastructure that makes open-source AI practical and reliable at scale, ensuring that enterprises can build on a foundation they actually own rather than one they merely rent"
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Featherless.ai plans to deploy the new capital across three strategic priorities. The company will scale infrastructure across additional regions to improve global access to state-of-the-art models, launch a dedicated marketplace for specialized open models that have been fine-tuned for specific use cases, and deepen integration with a wider range of hardware architectures, including AMD accelerators, to reduce inference costs further
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.The marketplace for specialized open models represents a particularly notable development, as it could enable enterprises to discover and deploy domain-specific AI capabilities without building custom infrastructure. By supporting diverse hardware architectures beyond traditional options, the platform aims to drive down costs while maintaining performance across different deployment scenarios
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.The funding arrives as enterprise buyers increasingly evaluate tradeoffs between frontier proprietary models from companies like OpenAI and Anthropic versus a growing catalog of open-weights releases from Meta Platforms, Mistral AI SAS, Alibaba Group Holding, and others
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. Organizations are weighing cost considerations and vendor lock-in risks against the performance and support offered by closed systems.By ensuring that state-of-the-art models remain accessible outside proprietary "walled gardens," Featherless.ai provides developers with the creative flexibility to build the next generation of applications
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. This serverless approach lowers the barrier for enterprises wanting to experiment with niche open models without committing significant resources upfront1
.Before this Series A round, Featherless.ai had previously raised a $5 million seed round in 2025 with backing from Airbus Ventures
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. The continued support from Airbus Ventures, now joined by AMD Ventures as co-lead, signals strong investor confidence in the open-source AI infrastructure market and the company's execution capability.Summarized by
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