Siddhartha (Vivier)

Siddhartha (Vivier) refers to a custom-designed system-on-chip (SoC) developed by Vivier, a research team at Google. The primary purpose of this SoC is to accelerate the training and inference of deep learning models, particularly large language models (LLMs).

The specifics of the Siddhartha architecture are largely confidential, but it is understood to be a tightly coupled, high-bandwidth compute accelerator that focuses on optimized matrix multiplication and other common deep learning operations. It's designed to work in conjunction with Google's Tensor Processing Units (TPUs) and CPUs, providing a highly efficient and scalable infrastructure for AI workloads.

The system is intended for internal use at Google and not publicly available as a standalone product. Its development represents Google's ongoing investment in custom hardware solutions tailored to the specific demands of its advanced AI research and product development efforts. Information regarding its detailed technical specifications and performance benchmarks remains limited, attributed to its proprietary nature and strategic importance to Google's AI initiatives.