Esperanto Technologies’ Massively Parallel RISC-V AI Inferencing Solution Now in Initial Evaluations
Delivering Industry-Leading Energy Efficiency, Esperanto’s ML Inference Accelerator
Is Designed to be the Highest Performance Commercial RISC-V AI Chip
MOUNTAIN VIEW, Calif., April 20, 2022 – Esperanto Technologies™, the leading developer of high performance, energy-efficient artificial intelligence (AI) inference accelerators based on the RISC-V instruction set, today announced that initial evaluations for its ET-SoC-1 AI inference accelerator are underway with lead customers. Additional slots are available to qualified customers who have an interest in AI inferencing accelerators for datacenter applications.
To inquire about the evaluation program, please visit esperanto.ai/technology/#eap.
“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. “It was fast, performant and overall easy to use. In addition, the SoC demonstrated near-linear performance scaling across different configurations of AI compute clusters. This is a capability that is quite unique, and one we have yet to see consistently delivered by established companies offering alternative solutions to Esperanto.”
Esperanto’s evaluation program enables users to obtain performance data from running a variety of off-the-shelf AI models including recommendation, transformer and visual networks on the ET-SoC-1 AI Inference Accelerator. Users can set options including model and dataset selection, data type, batch size and compute configuration of up to 32 clusters containing over 1,000 RISC-V cores with ML-optimized tensor units. Customers can run many inference jobs, with the results provided in detailed histogram reports as well as fine-grain visibility into silicon performance.
“Esperanto has made very impressive progress and is now providing customers evaluation access to their RISC-V hardware and software running off-the-shelf AI models with strong performance and efficiency. This really shows the company’s confidence in their first multi-core solution,” said Karl Freund, founder and principal analyst at Cambrian-AI Research. “In addition, because Esperanto’s chip is RISC-V-based, it has the programming tools and software stack to more easily adapt to new AI workloads, alongside non-AI workloads, all running on the same silicon. This step forward is another very strong indicator of the bright future of RISC-V.”
“Esperanto has achieved an industry first by demonstrating its massively parallel RISC-V silicon running a variety of real-world AI workloads,” said Richard Wawrzyniak, principal analyst at Semico Research. “It was exciting for me to see the company put the chip through its paces across a variety of scenarios including different models, data types, batch sizes and compute cluster combinations – all showing competitive results. This is another positive step forward for the RISC-V industry in the AI space as this new market continues to grow even faster than we had previously forecasted.”
“Harnessing the power of over 1,000 RISC-V processors is a major accomplishment, and we are very pleased with the results which validate our initial projections of performance and efficiency,” said Art Swift, president and CEO of Esperanto Technologies. “We look forward to extending access to a broader range of qualified companies, as we accelerate our RISC-V roadmap efforts with a growing number of strategic partners for applications spanning from Cloud to Edge.”
Esperanto Technologies is the AI RISC-V leader, offering massively parallel 64-bit RISC-V-based tensor compute cores currently delivered in the form of a single chip with 1088 ET-Minion compute cores and a shared high performance memory 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.
About Esperanto Technologies:
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. Esperanto is headquartered in Mountain View, California with additional engineering sites in Portland, Oregon; Austin, Texas; Barcelona, Spain; and Belgrade, Serbia. For more information, please visit https://www.esperanto.ai/
Esperanto Technologies Partners with Intel to Advance Massively Parallel RISC-V-based AI Acceleration Solutions
MOUNTAIN VIEW, Calif., February 7, 2022 – Esperanto Technologies™, the leading developer of high-performance, energy-efficient artificial intelligence (AI) inference accelerators based on the RISC-V instruction set, today announced that the company is entering a strategic partnership with Intel to advance its massively parallel RISC-V-based AI acceleration solutions. As part of the partnership, Esperanto Technologies plans to use Intel Foundry Services (“IFS”) silicon and chiplet packaging technologies to advance its RISC-V-based technology and deliver its massively parallel AI acceleration silicon solutions spanning from cloud to edge.
“Intel Foundry Services is excited to add Esperanto’s massively-parallel AI accelerators to the IFS ecosystem,” said Bob Brennan, Vice President and General Manager of IFS Customer Solutions Engineering. “The combination of Esperanto’s low-power design techniques and IFS advanced silicon and packaging technologies should enable thousands of Esperanto’s RISC-V based processors to operate in a single package with remarkably low power.”
“Esperanto builds on top of the RISC-V ecosystem to deliver our leading AI acceleration solutions. Intel’s announcements of support and investment in the RISC-V Community are invaluable in helping to advance and proliferate RISC-V solutions from Esperanto and others, ultimately benefiting all end users,” said Art Swift, president and CEO at Esperanto Technologies.
“Esperanto plans to use Intel Foundry Services leading edge silicon and advanced packaging technologies with our next generation massively-parallel RISC-V based AI accelerators,” said David Ditzel, founder and executive chairman at Esperanto Technologies. “Intel Foundry Services’ unique packaging technologies will make chiplet solutions both practical and cost effective, enabling a range of acceleration products to span from cloud to edge.”
Esperanto Technologies is the AI RISC-V leader, offering massively-parallel 64-bit RISC-V-based Tensor compute cores currently delivered in the form of a single chip with 1088 ET-Minion compute cores and a high-performance memory system. Designed to meet the high-performance and low-power requirements of large-scale datacenter customers, Esperanto’s existing RISC-V-based 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.
About Esperanto Technologies:
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. Esperanto is headquartered in Mountain View, California with engineering sites in Portland, Oregon, Barcelona, Spain, and Belgrade, Serbia. For more information, please visit https://www.esperanto.ai/
See Esperanto Technologies at the RISC-V Summit 2021
Esperanto Delivers Presentations and Exhibits at the RISC-V Summit 2021
Esperanto Technologies™, developer of high-performance, energy-efficient machine learning (ML) inference accelerators based on the RISC-V instruction set, announces its participation in The RISC-V Summit 2021, co-located with the Design Automation Conference and SEMICON West. Esperanto will deliver several presentations, and exhibit at the event.
- Where: Moscone Center West, San Francisco, CA, and online.
- When: December 6-8, 2021
- See: https://events.linuxfoundation.org/riscv-summit/
Highlights:
- Presentation by Art Swift, President and CEO, Esperanto Technologies.
- Technical Presentation: “Esperanto’s Custom RISC-V ISA Extensions for Energy-Efficient Machine Learning Applications” by Darren Jones, VP VLSI Engineering, Esperanto Technologies on Wednesday, December 8, 9:30 – 9:55am.
- Lightning Talk: “Functional Gap between RISC-V V and SPIR-V: a Study Case on the Graphics Domain” by Abel Bernabeu of Esperanto Technologies, Wednesday, December 8, 9:00 – 9:10am.
- Exhibit: Esperanto will feature its energy-efficient AI solutions.
Esperanto is a Gold sponsor of the RISC-V Summit.
About The RISC-V Summit 2021:
RISC-V Summit brings the community together to show the power open collaboration can have on the processor industry. The audience spans across industries, organizations, workloads, and geographies to learn about the technology advancements in the RISC-V ecosystem and visibility of RISC-V successes. See https://events.linuxfoundation.org/riscv-summit/
About Esperanto Technologies:
Esperanto Technologies develops high-performance, energy-efficient computing solutions for Artificial Intelligence / Machine Learning based on the open standard RISC-V instruction set architecture. For more information, please visit https://old.esperanto.ai/
See Esperanto at RISC-V Days Tokyo 2021
About RISC-V Days Tokyo 2021:
This event is in collaboration with JASA (Embedded Systems Technology Association), the ET & IoT 2021 Exhibition, RISC-V International (https://riscv.org), and Khronos Group (https://jp.khronos.org). See https://riscv-days-tokyo-2021-utumn.peatix.com/event/3020158/
Date
November 17-19, 2021
Location
Beverly hills
Venue
Pacifico Yokohama Hotel, and online
About Esperanto Technologies:
Esperanto Technologies develops high-performance, energy-efficient computing solutions for Artificial Intelligence / Machine Learning based on the open standard RISC-V instruction set architecture. For more information, please visit https://www.esperanto.ai/
Press Releases
Esperanto Technologies Delivers Presentation at RISC-V Days Tokyo 2021
MOUNTAIN VIEW, Calif., October 11, 2021
Esperanto Technologies™, developer of high-performance, energy-efficient machine learning (ML) inference accelerators based on the RISC-V instruction set, announces its participation in RISC-V Days Tokyo 2021. Esperanto will deliver a presentation at the event.
- Where: Pacifico Yokohama Hotel, and online. Co-located with the ET & IoT 2021 Exhibition (https://www.jasa.or.jp/expo/english/).
- When: November 17-19, 2021, 9: 30-15: 30 JST (Japan Standard Time)
- Presentation: “Accelerating Machine Learning with Energy-efficient, high-performance RISC-V Processors”
- Speaker: Eiji Kasahara of Esperanto Technologies, and BOD member, RISC-V Alliance Japan
- Abstract: What is important for machine learning applications? Energy efficiency, excellent performance, full programmability, and adaptability as algorithms change. Esperanto Technologies solves these challenges with an innovative architecture, leveraging the RISC-V instruction set, and low-power design techniques. Esperanto has developed accelerator chips, and boards, for large scale machine learning inference applications. The SoC uses over 1000 general-purpose RISC-V cores, each equipped with a vector/tensor unit optimized for common machine learning algorithms and data types. Esperanto’s chip, and boards, preserve many benefits of general-purpose programming while simultaneously delivering excellent performance and energy efficiency.
RISC-V Days Tokyo is Japan’s largest RISC-V event, with live and online presentations, exhibition booths, and press conferences. RISC-V Days Tokyo brings together RISC-V-related technology, research, products, and expert engineers, promoting collaboration, technology exchange and business opportunities. Tokyo Day 2020 was held online with 1,053 participants from 11 countries.
The book “Chisel” (Digital Design with Chisel), by Martin Sobert, will be distributed in limited quantities at the venue. A PDF version will also be released.
Esperanto is a Platinum sponsor of RISC-V Days Tokyo 2021.
See Esperanto at the Linley Fall Processor Conference 2021
PRESS RELEASE
August 28, 2021
About The Linley Group:
See https://www.linleygroup.com/
About Esperanto Technologies:
Esperanto Technologies develops high-performance, energy-efficient computing solutions for Artificial Intelligence / Machine Learning based on the open standard RISC-V instruction set architecture. For more information, please visit https://www.esperanto.ai/
Press Releases
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, 2021.
• Presentation: “Accelerating ML Workloads with Energy-efficient High Performance RISC-V Processors”
• Venue: Hyatt Regency Hotel, Santa Clara, CA
• Speaker: Darren Jones, Vice President of VLSI Engineering, Esperanto Technologies
• When: October 20, 3:10 PM PST.
• Abstract: Esperanto Technologies has developed the first of a family of accelerator chips for large scale machine learning inference applications.
Esperanto’s approach uses over 1000 general-purpose RISC-V cores, each equipped with a vector/tensor unit optimized for common machine learning algorithms and data types. Esperanto’s chip is highly energy-efficient, fully programmable, and adaptable as algorithms change. By leveraging the simplicity of the RISC-V instruction set and carefully designing with low-power techniques, Esperanto’s chip preserves many benefits of general-purpose programming while simultaneously delivering excellent performance and energy efficiency.
Admission is free to qualified registrants. The conference is intended for chip designers, system designers, equipment vendors, OEM/ODMs, service providers, press, and the financial community. Esperanto is a Gold sponsor of the Linley Fall Processor Conference.
Esperanto Technologies unveils energy efficient RISC-V based Machine Learning Accelerator
PRESS RELEASE
August 24, 2021
About Esperanto Technologies:
Esperanto Technologies develops high-performance, energy-efficient computing solutions for Artificial Intelligence / Machine Learning based on the open standard RISC-V instruction set architecture. Esperanto is headquartered in Mountain View, California with engineering sites in Portland, Oregon, Barcelona, Spain, and Belgrade, Serbia. For more information, please visit https://www.esperanto.ai/
Esperanto’s Inference Accelerator Delivers Industry-Leading Performance per Watt for ML Recommendation Workloads
MOUNTAIN VIEW, Calif., August 24, 2021 – Esperanto Technologies™, a developer of high-performance, energy-efficient machine learning (ML) inference accelerators based on the RISC-V instruction set, today announced that company founder and executive chairman Dave Ditzel will reveal new details of the company’s new ET-SoC-1 “supercomputer-on-a-chip” at the Hot Chips 33 conference on August 24, 2021, at 8:30 AM Pacific time. Featuring over a thousand RISC-V custom processor cores, Esperanto’s ML inference accelerator is designed to be the highest performance commercial RISC-V chip.
Designed to meet the high-performance but still air-cooled, low-power requirements of large-scale datacenter customers, Esperanto’s RISC-V-based inference chip is a general purpose, parallel processing solution that can accelerate many parallelizable workloads. The Esperanto chip is designed to operate at under 20 watts in order to fit within enterprise customers’ demanding system power constraints. The chip includes over a thousand energy-efficient RISC-V, ET-Minion™ processor cores each with its own custom vector / tensor unit, four high performance out-of-order RISC-V, ET-Maxion™ processor cores, and a high-performance memory system.
The Esperanto chip is designed to excel at machine learning recommendation models, one of the most important types of AI workloads in many large datacenters. Additional details about the new chip will be provided at the Hot Chips 33 Conference.
The company also announced that it expects to begin an Early Access Program for qualified customers later this year.
“I’m impressed with the energy efficiency and memory bandwidth of this new AI chip, which is the first and fastest RISC-V design we have seen for high-performance data center workloads” said Karl Freund, founder and principal analyst at Cambrian AI Research. “In addition, there are significant benefits to the programmer of using standard RISC-V cores, including flexibility and the ability to easily optimize code.”
“Esperanto’s chip is focused on high throughput with energy efficiency,” said Rich Wawrzyniak, principal market analyst at Semico Research Corporation. “With so many RISC-V cores operating in unison, the ability to process very large models operating using their low-voltage approach really delivers on the performance per watt.”
- Presentation: “Accelerating ML Recommendation with Over a Thousand RISC-V / Tensor Processors on Esperanto’s ET-SoC-1 Chip”
- When: August 24, 2021 at 8:30AM.
- Where: Virtual event, online.
- Agenda: https://www.hotchips.org/advance-program/
Dave Ditzel addresses Accelerating Machine Learning at Hot Chips 33
PRESS RELEASE
August 1, 2021
About Hot Chips 2021:
See https://www.hotchips.org/
About Esperanto Technologies:
Esperanto Technologies™ develops high-performance, energy-efficient computing solutions for Artificial Intelligence / Machine Learning based on the open standard RISC-V instruction set architecture. Esperanto is headquartered in Mountain View, California with engineering sites in Portland, Oregon, Barcelona, Spain, and Belgrade, Serbia. For more information, please visit https://www.esperanto.ai/
Press Releases
Hear Dave Ditzel on “Accelerating ML Recommendation with over a Thousand RISC-V/Tensor Processors on Esperanto’s ET-SoC-1 Chip”
MOUNTAIN VIEW, Calif., August 1, 2021 – See Esperanto Technologies, developer of high-performance, energy-efficient computing solutions based on RISC-V for Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) applications, at Hot Chips 33. Dave Ditzel, Chairman and Founder of Esperanto, will speak on accelerating machine learning at Hot Chips in August, 2021.
- Presentation: “Accelerating ML Recommendation with over a Thousand RISC-V / Tensor Processors on Esperanto’s ET-SoC-1 Chip”
- When: August 24, 2021 at 8:30AM.
- Where: Virtual event, online.
- Agenda: https://www.hotchips.org/advance-program/
Abstract:
Esperanto Technologies has developed an accelerator chip for large scale machine learning inference applications. While many chips for accelerating machine learning have been proposed and built, they often also have various limitations. Some implement solutions highly tailored for convolutional neural networks (CNNs) and other algorithms with fixed-function hardware such as systolic array multipliers but suffer with other ML tasks that don’t exactly match their hardware implemented algorithms. Some only work when the data fits entirely in on-die memory, making them not very suitable for ML recommendation server applications that can require many gigabytes of memory.
Esperanto has taken a different approach, using a large number of general-purpose RISC-V cores, each equipped with a vector/tensor unit optimized for common machine learning algorithms and data types. Esperanto’s chip is highly efficient, fully programmable, and adaptable as algorithms change. By leveraging the simplicity of the RISC-V instruction set and carefully designing with low-power techniques, Esperanto’s chip preserves many benefits of general-purpose programming while simultaneously maintaining excellent energy efficiency.
Esperanto’s low-power design allows multiple ET-SoC-1 chips to be placed on a single PCI Express card delivering many times the throughput of legacy x86, GPU and FPGA solutions, while staying within the power limits of a single accelerator card.
You can download the slides here: Hot Chips Slides 2021
Esperanto Technologies appoints Lee Flanagin as Chief Business Officer
PRESS RELEASE
July 14, 2021
About Esperanto Technologies
Esperanto Technologies™ develops high-performance, energy-efficient computing solutions for Artificial Intelligence / Machine Learning based on the open standard RISC-V instruction set architecture. Esperanto is headquartered in Mountain View, California with engineering sites in Portland, Oregon, Barcelona, Spain, and Belgrade, Serbia. For more information, please visit https://www.esperanto.ai/
Press Releases
Experienced Artificial Intelligence and Semiconductor Executive to Spearhead Esperanto’s Marketing, Sales and Business Development.
MOUNTAIN VIEW, Calif., July 14, 2021 – Esperanto Technologies, developer of high-performance, energy-efficient computing solutions based on RISC-V for Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) applications, has appointed Lee Flanagin as Chief Business Officer. In this capacity, Lee will lead Esperanto’s marketing, sales, and business development as the company scales.
Lee’s executive career has spanned startups to Fortune 500 companies. His industry experience includes AI, semiconductors, IP, cloud, consumer electronics, networking, and storage.
Prior to joining Esperanto, Lee advised on corporate strategy, marketing, sales, ecosystem partnerships and business development for several AI chip startups focused on the datacenter and edge applications. He also advised block chain and thermal management solution startups. Previously, Lee was Chief Business Officer / Senior Vice President at Wave Computing; Advisor in the Office of the CTO at Cisco; Head of Worldwide Corporate Communications at SanDisk; Head of Corporate Communications at RAE Systems by Honeywell; and Vice President, Worldwide Corporate Communications at ARC International. Lee received his Bachelor of Arts degree from Michigan State University.
“We welcome Lee, who has an impressive track record in strategic marketing, international sales and business development, as well as organizational development at high-profile companies. Esperanto will benefit from his expertise in the high-growth AI markets and applications.” said Art Swift, president and CEO of Esperanto.
“Applications for AI / ML/ DL are exploding, and require innovative hardware and software. I am excited to join Esperanto to accelerate the adoption of their leading-edge technology and high-performance, energy-efficient computing solutions in these rapidly growing markets,” commented Lee Flanagin.
Art Swift Delivers Keynote and Speaks on Panel at COOL Chips 24
Event
Date
April 13 – 14, 2021
Venue
Online Event
About Esperanto Technologies:
Esperanto Technologies develops high-performance, energy-efficient computing solutions for Artificial Intelligence / Machine Learning based on the open standard RISC-V instruction set architecture. Esperanto is headquartered in Mountain View, California with engineering sites in Portland, Oregon and Austin, Texas in the United States and multiple sites in Europe. Esperanto has brought together a seasoned team of experienced processor and software engineers with the goal of making RISC-V the architecture of choice for compute-intensive applications such as AI and Machine Learning. For more information, please visit https://www.esperanto.ai/
Press Releases
Art Swift, President and CEO of Esperanto Technologies™, will deliver a keynote and also speak on a panel at COOL Chips 24.
- When: April 14 and 15 (Japan time.)
- Where: Virtual event, online.
- Agenda: COOL Chips www.coolchips.org/2021/advance-program/
Keynote: High-Efficiency Inferencing for Scalable Machine Learning
- Speaker: Art Swift (Esperanto Technologies)
- Abstract: The extraordinary market demand for large-scale machine learning solutions requires more than GPUs, FPGAs, or large multiplier arrays. These approaches deliver high performance, but at high costs: high power consumption, prohibitively complicated programming models, and unacceptable inflexibility. Esperanto Technologies CEO Art Swift will describe the architectural approach and design methodology for the company’s first supercomputer-on-chip solution for ML inferencing acceleration. The ET-SoC-1 combines the traditional flexibility and programmability of CPU cores with the high efficiency of autonomous tensor processing to deliver unmatched system-level efficiency and all-layer ML acceleration. Every element of Esperanto’s integrated solution represents best-in-class technology: the simplicity of the RISC-V instruction set, proprietary instruction-set extensions for machine learning, an on-chip mesh interconnect, a uniquely optimized memory hierarchy, state of the art process technology, and custom low-voltage circuits. In this way, Esperanto delivers more performance per watt than existing products without compromising flexibility.
- When: April 15, 2021 (Japan time)
Panel Discussion: “Hot” Techs for “Cool” AI Computing: Do We have Enough Tricks?
- Organizer and Moderator: Masato Motomura (Tokyo Tech)
- Panelists:
Yusuke Doi (Preferred Networks, Japan)
Avi Baum (Hailo, Israel)
Art Swift (Esperanto Technologies, USA)
Mitsuhisa Sato (Riken, Japan) - Abstract: It is often mentioned that data is the new oil in the 21st century. Importantly, oil was able to drive industrial revolution only after the advent of combustion engine. By analogy, data can drive AI revolution only after the right silicon engines, i.e., cool chips. The panel will discuss hot topics regarding this important role that cool chips should fulfill for AI computing from various aspects.
- When: April 14, 2021 (Japan time)
About COOL Chips 24: See www.coolchips.org/2021/
Esperanto Technologies Appoints Jin Kim as Chief Data Scientist and VP of Software
PRESS RELEASE
Dec. 9, 2020
About Esperanto Technologies
Esperanto Technologies develops high-performance, energy-efficient computing solutions for Artificial Intelligence / Machine Learning based on the open standard RISC-V instruction set architecture. Esperanto is headquartered in Mountain View, California with engineering sites in Portland, Oregon and Austin, Texas as well as Barcelona, Spain and other sites in Europe. For more information, please visit https://www.esperanto.ai/
Press Releases
Artificial Intelligence, Data Science Executive and Technologist Joins Esperanto’s Ground-breaking Team
MOUNTAIN VIEW, Calif., Dec. 9, 2020 – Esperanto Technologies™, developer of high-performance, energy-efficient computing solutions based on RISC-V for Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) applications, has appointed Jin Kim as Chief Data Scientist and VP of Software.
In this capacity, Jin will accentuate Esperanto’s leadership in delivering their ground-breaking accelerator chip for large-scale machine learning applications, with over 1000 RISC-V cores, specifically focusing on directing software development, data science research, and machine learning strategy and development. An executive, entrepreneur, and data scientist, Jin’s experience spans enterprise software products and services in AI, big data, and advanced analytics.
Prior to joining Esperanto, Jin led multinational engineering and marketing teams at both established and startup companies, including GraphSQL, Wave Computing, Objectivity, Skytree, Tom Sawyer Software, Vitria Technology, Tactica, and Trimeter Technologies. His technology focus encompasses markets for machine learning and deep learning; data management, integration, analytics and visualization; and mobile and cloud computing. Jin was the evangelist and technologist behind more than 60 innovative products, from concept to revenue. He earned his PhD in Computer Science and Engineering and BS in Electrical Engineering at Carnegie-Mellon University.
“We welcome Jin, who blends entrepreneurial, executive, and organizational leadership with his technology expertise in AI / ML/ DL, software, data science, and analytics.” said Art Swift, president and CEO of Esperanto.
“We are in the midst of a revolution, based on AI / ML/ DL, big data, and advanced analytics. This is an exciting time, and I am impressed with the leading-edge technology and high-performance, energy-efficient computing solutions Esperanto offers in these rapidly growing markets,” commented Jin Kim. “I am delighted to join the Esperanto team, expanding Esperanto’s strengths in AI and software leadership.”