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 — is running into a wall, and logarithmic math may be the foundational rethink that breaks through it. […] The post Tensordyne targets AI inference market with logarithmic math and Juniper-derived rack architecture appeared first on SiliconANGLE .