•1 min read•from TechCrunch
Startup Gimlet Labs is solving the AI inference bottleneck in a surprisingly elegant way
Our take
Gimlet Labs is addressing the AI inference bottleneck with an innovative approach that seamlessly integrates multiple chip architectures. Recently, the startup secured an impressive $80 million in Series A funding to advance its technology, which enables AI to operate across NVIDIA, AMD, Intel, ARM, Cerebras, and d-Matrix chips simultaneously. This breakthrough positions Gimlet Labs at the forefront of AI development, empowering organizations to harness the full potential of diverse computing resources for enhanced performance and efficiency in their AI applications.
Gimlet Labs just raised an $80 million Series A for tech that lets AI run across NVIDIA, AMD, Intel, ARM, Cerebras and d-Matrix chips, simultaneously.
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