![]() Participants will also receive a higher supply priority. The custom-designed performance evaluation for the customer’s platform, models and datasets will provide better insights. The performance evaluation of ET-SoC-1 will take place in specific models and software environments. Low power architecture and circuit design techniquesĮsperanto’s evaluation program gives exclusive access to technology that will eventually evaluate the functionality of ET-SoC-1 for inferencing in several AI models.Operations at under 20 watts for ML recommendation workloads.One on-chip 64-bit RISC-V service processor core.Four high-performance ET-Maxion 64-bit RISC-V processor out-of-order cores.1088 ET-Minion 64-bit RISC-V in-order processor cores with a vector/tensor unit.Thousands (1093) of RISC-V processors on a 7nm process chip.The specifications provided by the manufacturer as a part of the Esperanto Access Program are: The flexibility and scalability allow the “Supercomputer-on-a-chip” (SoC) to support all inference applications and to be deployed at a scale to provide highly parallelized performance. This is a unique capability, and one we have yet to see consistently delivered by established companies offering alternative solutions to Esperanto.”Įsperanto’s ET-SoC-1 is a high-performance AI inference accelerator delivering high performance per watt for various AI workloads. In addition, the SoC demonstrated near-linear performance scaling across different configurations of AI compute clusters. “It was fast, performant and overall easy to use. “Our data science team was very impressed with the initial evaluation of Esperanto’s AI acceleration solution,” said Dr Patrick Bangert, vice president of Artificial Intelligence at Samsung SDS. The user can set options for models, dataset selection, data type, batch size, and compute configuration from options of up to 32 clusters and over 1000 RISC-V cores. On April 20, 2022, Holly Stump, an Integrated Marketing Consultant with Esperanto Technologies, announced the initial evaluation for its ET-SoC-1 AI inference accelerators with support from their lead customers.Īs part of Esperanto’s evaluation program, users can monitor performance by running several AI models, including recommendation, transformer, and visual networks on the ET-SoC-1 AI inference accelerator. At the Hot Chips 33 conference, California-headquartered Esperanto Technologies, known for providing high-performance machine learning inference accelerators, unveiled the company’s new ET-SoC-1 “supercomputer-on-a-chip” based on the RISC-V open-standard instruction set architecture.
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