Meta has revealed details of the first chip it designed in house using RISC-V to run AI frameworks for its Facebook and Instagram services.
The company found that GPUs were not always optimal for running Meta’s specific recommendation workloads at the levels of efficiency required for billions of users. So it designed a family of recommendation-specific Meta Training and Inference Accelerator (MTIA) ASICs with the next-generation recommendation model requirements in mind, and integrated into PyTorch.