• Home
  • About
  • Events Calendar
  • Blueprint Guidelines
  • Privacy Policy
  • Manage Email Delivery
  • NextGenInfra.io
No Result
View All Result
Converge Digest
Thursday, June 4, 2026
  • Home
  • About
  • Events Calendar
  • Blueprint Guidelines
  • Privacy Policy
  • Manage Email Delivery
  • NextGenInfra.io
No Result
View All Result
Converge Digest
No Result
View All Result

Home » Renesas develops Processing-In-Memory Technology for AI chips

Renesas develops Processing-In-Memory Technology for AI chips

June 13, 2019
in All
A A

Renesas Electronics has developed an AI accelerator that performs CNN (convolutional neural network) processing at high speeds and low power to move towards the next generation of Renesas embedded AI (e-AI), which will accelerate increased intelligence of endpoint devices.

The company says its first test chip featuring this accelerator has achieved the power efficiency of 8.8 TOPS/W.

Renesas developed the following three technologies for the new AI accelerator: a ternary-valued (-1, 0, 1) SRAM structure PIM technology that can perform large-scale CNN computations; an SRAM circuit to be applied with comparators that can read out memory data at low power; and a technology that prevents calculation errors due to process variations in the manufacturing.

https://www.renesas.com/us/en/about/press-center/news/2019/news20190613.html

Tags: #AIBlueprint columnsRenesas
ShareTweetShareSummarizeSummarize
Previous Post

ADTRAN’s Eric Joyce Elected to FTTH Council Europe as Board Member

Next Post

AddOn introduces Optical Time Domain Reflectometer tester

Staff

Staff

Related Posts

Automotive Networking

GlobalFoundries, Renesas Deepen U.S. Chip Manufacturing Pact 

February 17, 2026
Clouds and Carriers

Telstra and Microsoft Accelerate AI in Australia

August 12, 2024
Semiconductors

Renesas acquires Transphorm for gallium nitride (GaN)

June 20, 2024
Semiconductors

Renesas to acquire Sequans for its IoT chipsets and modules

August 7, 2023
Blueprints

Blueprint: Brazil looks to municipal Wi-Fi 6E

February 21, 2023
All

Blueprint: Building wholesale networks with OTN

December 20, 2022
Next Post

AddOn introduces Optical Time Domain Reflectometer tester

Please login to join discussion

Categories

  • 5G / 6G / Wi-Fi
  • AI Infrastructure
  • All
  • Automotive Networking
  • Blueprints
  • Clouds and Carriers
  • Data Centers
  • Enterprise
  • Explainer
  • Feature
  • Financials
  • Last Mile / Middle Mile
  • Legal / Regulatory
  • Optical
  • Quantum
  • Research
  • Security
  • Semiconductors
  • Space
  • Start-ups
  • Subsea
  • Sustainability
  • Video
  • Webinars

Archives

Tags

5G All AT&T Australia AWS Blueprint columns BroadbandWireless Broadcom China Ciena Cisco Data Centers Dell'Oro Ericsson FCC Financial Financials Huawei Infinera Intel Japan Juniper Last Mile Last Mille LTE Mergers and Acquisitions Mobile NFV Nokia Optical Packet Systems PacketVoice People Regulatory Satellite SDN Service Providers Silicon Silicon Valley StandardsWatch Storage TTP UK Verizon Wi-Fi
Converge Digest

A private dossier for networking and telecoms

Follow Us

  • Home
  • About
  • Events Calendar
  • Blueprint Guidelines
  • Privacy Policy
  • Manage Email Delivery
  • NextGenInfra.io

© 2026 Converge Digest - A private dossier for networking and telecoms.

No Result
View All Result
  • Home
  • About
  • Events Calendar
  • Blueprint Guidelines
  • Privacy Policy
  • Manage Email Delivery
  • NextGenInfra.io

© 2026 Converge Digest - A private dossier for networking and telecoms.

This website uses cookies. By continuing to use this website you are giving consent to cookies being used. Visit our Privacy and Cookie Policy.
Go to mobile version