Groq just officially became a supported Inference Provider on the Hugging Face Hub. Developers can now run open-source models like Llama 4 directly through Groq's low-latency LPU chips using HF's web UI or Python and JS SDKs. You can bill through Hugging Face without added markups or plug in your own Groq API key.
Groq just partnered with Saudi oil giant Aramco to build a massive AI inference data center in Saudi Arabia. Funded by Aramco with a nine-figure budget, the site will launch by the end of this year with 19,000 LPUs and could scale to 200,000 units. Why it matters: Low energy costs and strategic location could make the Gulf a vital AI compute hub for surrounding regions.
AI chip startup Groq just pulled in a massive $640 million funding round led by Blackrock, valuing the inference specialist at $2.8 billion. The company claims its custom LPUs run generative AI models 10x faster and with a fraction of the energy of conventional GPUs. Meta's Yann LeCun is also joining as a technical advisor, giving the upstart serious ammo against Nvidia.
Groq just went viral with an AI chip architecture that makes standard cloud GPUs look sluggish. Powered by custom Language Processing Units (LPUs), independent benchmarks clocked Groq hitting 247 tokens per second—over 13 times faster than Microsoft’s cloud baseline. Why it matters: this raw speed bypasses memory bottlenecks, finally making lag-free, real-time voice conversations with AI viable.
