d-Matrix Raises $275 Million to Solve AI's Most Expensive Problem
"We've spent the last six years building the solution. A fundamentally new architecture that enables AI to operate everywhere, all the time"
Deployed's enterprise AI reporting on Inference.
"We've spent the last six years building the solution. A fundamentally new architecture that enables AI to operate everywhere, all the time"
Their new AI chips aim to power the world’s data centers more efficiently, and end the GPU’s long reign over artificial intelligence
Inference is the foundation for the next generation of technology companies.
We suspected it was going to be big, but we had no idea it would be this big.
If you're building inference chips that still use external memory, you're basically copying GPUs and you won’t win by copying Nvidia’s playbook.
Success in wafer-scale computing or any transformative technology demands not just vision and experience, but also the humility to acknowledge when the best path forward wasn’t the one you initially chose.
In this market, your No. 1 differentiation is how fast you can move.