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So far Holly Stump has created 97 blog entries.

See Esperanto at the Linley Fall Processor Conference 2021

2021-10-03T08:10:03-07:00August 28th, 2021|

Esperanto Technologies will speak at the Linley Fall Processor Conference MOUNTAIN VIEW, Calif., August 28, 2021 – Esperanto Technologies™, a developer of high-performance, energy-efficient machine learning (ML) inference accelerators based on the RISC-V instruction set, announces its participation in the Linley Fall Processor Conference, October 20-21, [...]

In Enterprise AI: Esperanto Now Testing Its Fledgling 1,092-Core RISC-V ET-SoC-1 Chips

2021-09-22T07:42:18-07:00August 27th, 2021|

New article by Oliver Peckham, in Enterprise AI: "Esperanto Now Testing Its Fledgling 1,092-Core RISC-V ET-SoC-1 Chips." Peckham writes: “Back in December, Esperanto Technologies made waves when it announced ET-SoC-1, a new RISC-V-based chip aimed at machine learning that packed nearly 1,100 cores onto a package [...]

TIRIAS Research Covers Esperanto in Forbes Magazine

2021-08-25T07:50:45-07:00August 25th, 2021|

“Esperanto Delivers Massive AI Processing With Less Than 20W For Data Center Inference Workloads.” Article by Jim McGregor, Tirias Research, in Forbes. McGregor digs deep into aspects of Esperanto’s low power architecture and circuitry. He discusses ET-Minions, ET-Maxions, neighborhoods and shires… and why they matter! [...]

AI Chip Roundup in Forbes Tech: “Hot Chips Concludes An Amazing Lineup of AI Chip Companies”

2021-08-26T08:08:10-07:00August 25th, 2021|

Karl Freund, Founder and Principal Analyst, Cambrian-AI Research LLC, writing for Forbes Enterprise Tech, published the roundup article: “Hot Chips Concludes An Amazing Lineup of AI Chip Companies.” Freund writes: “Esperanto, the startup that has been developing an AI chip using RISC-V for over 5 years, [...]

EE Times: Esperanto Technologies 1,000 Core RISC-V AI Accelerator

2021-08-24T14:31:53-07:00August 24th, 2021|

New EE Times article: “Esperanto Emerges From Stealth With 1,000-Core RISC-V AI Accelerator.” Written by Sally Ward-Foxton in EE Times, AI & Big Data Designline. Foxton covers topics including Esperanto’s responsiveness to the requirements of hyper-scale data center operators, especially with inference and accelerating the recommendation [...]

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