Tensordyne targets AI inference market with logarithmic math and Juniper-derived rack architecture
The race to serve AI inference faster and cheaper is exposing the hard limits of conventional chip architecture. As demand for real-time AI responses accelerates, the industry’s standard response — stacking more high-bandwidth memory onto power-hungry silicon…
The race to serve AI inference faster and cheaper is exposing the hard limits of conventional chip architecture. As demand for real-time AI responses accelerates, the industry’s standard response sta… [+4869 chars]