Esperanto Technologies develops massively parallel, energy-efficient chips for Machine Learning based on the open standard RISC-V ISA
Esperanto Technologies develops massively parallel, high-performance, energy-efficient computing solutions for Artificial Intelligence / Machine Learning based on the open standard RISC-V instruction set architecture. Designed to meet the performance, power and total cost of ownership (TCO) requirements of large-scale datacenter customers, Esperanto’s inference chip is a general purpose, parallel processing solution that can accelerate many parallelizable workloads. It is designed to run any machine learning (ML) workload well, and to excel at ML recommendation models, one of the most important types of AI workloads in many large datacenters.
Announced Date | Round | Money Raised | Number of Investors | Lead Investors | Post Valuation | |
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Nov 1, 2018 | Series B | $58M | 1 | — | — | Detail |
Investor Name | Lead Investor | Funding Round |
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AI Alliance | — | Series B |