AMD Copilots Tesla AI Chip, Says Report

Release time:2017-09-22
author:Ameya360
source:Rick Merritt
reading:1423

  Tesla is testing samples of a machine-learning chip that it developed in collaboration with Advanced Micro Devices, according to a report from CNBC. AMD and Tesla both declined to comment on the story.

  The chip was developed by Tesla’s Autopilot group, a team of about 50 engineers under Jim Keller, a veteran microprocessor designer who led work on AMD’s Zen x86 processor. The chip is expected to replace an Nvidia GPU that Tesla currently uses, which itself replaced a Mobileye chip, said the CNBC report.

  Keller joined Tesla in January 2016, the Electrek online automotive news site reported at the time. Within four months, Tesla hiredseveral of Keller’s former colleagues, including processor veteran Peter Bannon and several senior AMD engineers.

  A quick check of LinkedIn shows that at least a dozen senior AMD employees joined Tesla in the first months of 2016. Among the most senior was engineer-turned-strategist Keith Witek, Tesla’s director of business development who left AMD after 14 years, ending as its corporate business development strategist.

  The rest of the former AMD group are engineers now generally working on silicon technology for Tesla’s Autopilot group. One notable exception is Junli Gu, who mainly worked on deep-learning software for four years at AMD before leaving to build “and lead the machine-learning team at Tesla Autopilot,” according to her online bio.

  AMD’s GPU team, acquired in 2006 with ATI Technologies, has a long history of developing ASICs, manly for video game consoles such as the Xbox One X. A follow-up report from CNBC quoted Wall Street analysts saying that the Tesla chip marks a potentially disruptive entry for AMD into the market for silicon for self-driving cars.

  Given Tesla’s relatively small volume of car sales, the deal, if true, is not expected to be material to AMD revenues in the near future. However, it could provide a powerful calling card in a market for machine-learning chips that is already becoming crowded with offerings from established and startup companies.

("Note: The information presented in this article is gathered from the internet and is provided as a reference for educational purposes. It does not signify the endorsement or standpoint of our website. If you find any content that violates copyright or intellectual property rights, please inform us for prompt removal.")

Online messageinquiry

reading
  • Week of hot material
  • Material in short supply seckilling
model brand Quote
BD71847AMWV-E2 ROHM Semiconductor
MC33074DR2G onsemi
RB751G-40T2R ROHM Semiconductor
TL431ACLPR Texas Instruments
CDZVT2R20B ROHM Semiconductor
model brand To snap up
TPS63050YFFR Texas Instruments
IPZ40N04S5L4R8ATMA1 Infineon Technologies
BP3621 ROHM Semiconductor
BU33JA2MNVX-CTL ROHM Semiconductor
STM32F429IGT6 STMicroelectronics
ESR03EZPJ151 ROHM Semiconductor
Hot labels
ROHM
IC
Averlogic
Intel
Samsung
IoT
AI
Sensor
Chip
About us

Qr code of ameya360 official account

Identify TWO-DIMENSIONAL code, you can pay attention to

AMEYA360 weixin Service Account AMEYA360 weixin Service Account
AMEYA360 mall (www.ameya360.com) was launched in 2011. Now there are more than 3,500 high-quality suppliers, including 6 million product model data, and more than 1 million component stocks for purchase. Products cover MCU+ memory + power chip +IGBT+MOS tube + op amp + RF Bluetooth + sensor + resistor capacitance inductor + connector and other fields. main business of platform covers spot sales of electronic components, BOM distribution and product supporting materials, providing one-stop purchasing and sales services for our customers.

Please enter the verification code in the image below:

verification code