📄 中文摘要
Gimlet Labs 最近完成了8000万美元的A轮融资，旨在通过其技术实现AI在多种芯片上同时运行，包括NVIDIA、AMD、Intel、ARM、Cerebras和d-Matrix。这项技术的推出旨在解决当前AI推理过程中的瓶颈问题，提升计算效率和灵活性。通过支持多种硬件平台，Gimlet Labs希望为AI应用提供更广泛的兼容性和更高的性能，推动行业的进一步发展。
初创公司 Gimlet Labs 以意想不到的优雅方式解决 AI 推理瓶颈
📄 English Summary
Startup Gimlet Labs is solving the AI inference bottleneck in a surprisingly elegant way
Gimlet Labs has recently raised $80 million in a Series A funding round to develop technology that enables AI to run simultaneously across various chip architectures, including NVIDIA, AMD, Intel, ARM, Cerebras, and d-Matrix. This innovative approach aims to address the existing bottlenecks in AI inference processes, enhancing computational efficiency and flexibility. By supporting multiple hardware platforms, Gimlet Labs seeks to provide broader compatibility and improved performance for AI applications, driving further advancements in the industry.