Meta Platforms has released its first Llama 4 models, a multimodal trio that ranges from the foundational Behemoth to tiny Scout, with Maverick in between. With 16 experts and only 17B active parameters (the number used per task), Llama Scout is “more powerful than all previous generation Llama models, while fitting in a single Nvidia H100 GPU,” according to Meta. Maverick, with 17B active parameters and 128 experts, is touted as beating GPT-4o and Gemini 2.0 Flash across various benchmarks, “while achieving comparable results to the new DeepSeek v3 on reasoning and coding with less than half the active parameters.” Continue reading Meta Unveils Multimodal Llama 4 Models, Previews Behemoth

Cerebras Systems was founded 10 years ago on the belief that there would be a shortage of processors powerful enough to drive enterprise AI computing at scale. Its solution, the Cerebras Wafer-Scale Engine, is integrated into Cerebras’ CS-3 systems, which will power six new data centers launching this year that the company says will make it “the world’s number one provider of high-speed inference and the largest domestic high speed inference cloud.” Cerebras notes the new facilities will collectively serve over 40 million Llama 70B tokens per second to clients that now include Hugging Face and financial intelligence firm AlphaSense. Continue reading Cerebras Is Moving into Mainstream with New AI Data Centers