French AI Startup ZML Launches Free Software to Optimize LLM Inference Across Multiple Chip Architectures
ZML, a French AI startup backed by Yann LeCun, launched an open-source inference server called LLMD that enables large language models (LLMs) to run efficiently across various chip architectures including Nvidia, AMD, Google TPU, Apple Metal, and Intel Arc. The software aims to reduce vendor lock-in and lower costs for enterprises while improving performance. ZML's solution could disrupt the AI hardware market by enabling broader use of alternative chips.
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Topics: AI chips inference optimization Nvidia competition open-source LLMs