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Hugging Face has partnered with Groq to offer ultra-fast AI model inference, integrating Groq's Language Processing Unit (LPU) inference engine as a native provider on the Hugging Face platform. This collaboration aims to provide developers with access to lightning-fast processing capabilities directly within the popular model hub. Groq's chips are specifically designed for language models, offering a specialized architecture that differs from traditional GPUs by embracing the sequential nature of language tasks, resulting in reduced response times and higher throughput for AI applications.
Developers can now access high-speed inference for multiple open-weight models through Groq’s infrastructure, including Meta’s Llama 4, Meta’s Llama-3 and Qwen’s QwQ-32B. Groq is the only inference provider to enable the full 131K context window, allowing developers to build applications at scale. The integration works seamlessly with Hugging Face’s client libraries for both Python and JavaScript, though the technical details remain refreshingly simple. Even without diving into code, developers can specify Groq as their preferred provider with minimal configuration. This partnership marks Groq’s boldest attempt yet to carve out market share in the rapidly expanding AI inference market, where companies like AWS Bedrock, Google Vertex AI, and Microsoft Azure have dominated by offering convenient access to leading language models. This marks Groq's third major platform partnership in as many months. In April, Groq became the exclusive inference provider for Meta’s official Llama API, delivering speeds up to 625 tokens per second to enterprise customers. The following mo
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Hugging Face, primarily known as a platform for machine learning and AI development, is making a significant push into the robotics field with the introduction of two open-source robot designs: HopeJR and Reachy Mini. HopeJR is a full-sized humanoid robot boasting 66 degrees of freedom, while Reachy Mini is a desktop unit. The company aims to democratize robotics by offering accessible and open-source platforms for development and experimentation. These robots are intended to serve as tools for AI developers, similar to a Raspberry Pi, facilitating the testing and integration of AI applications in robotic systems. Hugging Face anticipates shipping initial units by the end of the year.
HopeJR, co-designed with French robotics company The Robot Studio, is capable of walking and manipulating objects. According to Hugging Face Principal Research Scientist Remi Cadene, it can perform 66 movements including walking. Priced around $3,000, HopeJR is positioned to compete with offerings like Unitree's G1. CEO Clem Delangue emphasized the importance of the robots being open source. He stated that this enables anyone to assemble, rebuild, and understand how they work and remain affordable, ensuring that robotics isn’t dominated by a few large corporations with black-box systems. This approach lowers the barrier to entry for researchers and developers, fostering innovation and collaboration in the robotics community. Reachy Mini is a desktop robot designed for AI application testing. Resembling a "Wall-E-esque statue bust" according to reports, Reachy Mini features a retractable neck that allows it to follow the user with its head and auditory interaction. Priced between $250 and $300, Reachy Mini is intended to be used to test AI applications before deploying them to production. Hugging Face's expansion into robotics includes the acquisition of Pollen Robotics, a company specializing in humanoid robot technology, and the release of AI models specifically designed for robots, as well as the SO-101, a 3D-printable robotic arm.
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