VSORA Secures $4.2 Million in Financing from Otium Capital, Angel Investors
VSORA, an innovative startup offering silicon intellectual property (IP) solutions and autonomous driving/advanced driver assistance systems (AD/ADAS) compute platform chips for Level 2+ through Level 5 AD, today announced it closed a round of financing totaling $4.2 million.
VSORA Introduces Tyr Chip Family Enabling L2-L5 Autonomous Driving
VSORA announced its first full silicon solution, called Tyr. Delivering between 258 Tflops and 1,032 Tflops and consuming as little as 10 Watts, Tyr allows users to implement autonomous driving functions previously not commercially viable.
Leti, VSORA Show 5G NR Air Interface on Multi-Core DSP
Leti, a research institute of CEA Tech, and VSORA, which specializes in multi-core digital signal processor (DSP) design, today announced they have demonstrated the implementation of 5G New Radio (5G NR) Release 15 on a new DSP architecture that can dramatically reduce time to market of digital modems.
Five characteristics will underpin commercially viable autonomous-driving (AD) vehicle solutions at Levels 4 and 5: flexibility, high usable compute power, low latency, low power and low cost. The first three are mandatory to implement AD functionality. The last two, while not strictly necessary for meeting the target, are essential for achieving wide and rapid adoption. This article spotlights the technological attributes necessary to realize Level 4/5 autonomy.
Vsora Unveils AI Chip Family to Enable L2–L5 Autonomous Driving
Paris-based digital-signal–processing (DSP) IP startup Vsora has introduced a family of PetaFLOPS computational companion chips to accelerate Level 3 (L3) through Level 5 (L5) autonomous-vehicle (AV) designs. Vsora has just raised $4.2 million in a pre-Series B round of financing to hasten its development.
Remember that satisfying exclamation, "Look Ma, no hands!" when you were a child learning to ride a bicycle with no hands on the handlebars? Who wouldn't want to experience that feeling again, only this time behind the wheel of an automobile.
Implementation basics for autonomous driving vehicles
The automotive industry is delivering the first implementations of advanced driver-assistance systems (ADAS) for Level 2 (foot off the gas or break) and Level 3 (hands off the wheel) vehicles. Though it’s struggling to develop an autonomous driving (AD) system from L4 (eyes off the road) to L5 (completely self-driving and autonomous) vehicles. The challenge is turning out to be more difficult than anticipated a few years ago.
The Challenges to Achieve Level 4/Level 5 Autonomous Driving
The path to achieve fully autonomous driving (AD) progresses through five levels of increasing automation, as codified by the Society of Automobile Engineers (SAE) in 2014 under Standard J3016. It starts with L1 or basic driver assistance, and moves to L2, which means feet off the gas or break. L3, as in hands off the wheel, comes next, then L4 or eyes off the road to, finally, L5 that allows all passengers to have their minds off driving.
The Linley Group published this article in their "Microprocessor report". It is an extensive review of the Tyr1 compared to the Nvidia Orin and the Qualcomm AI 100. Conclusions are that the Tyr1 chip, which is built on the AD1028 architecture, provides 10x the performance of the Nvidia solution.
VSORA announced it received The Linley Group’s Analysts’ Choice Award 2020 in the “Best Processor Intellectual Property (IP)” category for AD1028, the first PetaFLOPS computational platform to accelerate Level 4 (L4) and Level 5 (L5) autonomous vehicles designs.
VSORA has jumped into the race to provide DSPs and deep-learning accelerators (DLAs) for autonomous vehicles (AVs). The French startup aims to pass its more established rivals by offering the new ADxxxx intellectual property (IP), which it designed to handle perception and sensor fusion in Level 4 and 5 self-driving cars.
Predicting the power or energy required to run an AI/ML algorithm is a complex task that requires accurate power models, none of which exist today. Power consumption spreads over a wide range, with worst-case scenarios sitting far away from typical consumption.
Autonomous driving is a wildly challenging problem. Of all the headline-grabbing technologies in development today, replacing the human driver in a car probably takes the most computing power, although you wouldn’t guess that from the obvious lack of computing power demonstrated by many of our fellow human drivers on the road.
VSORA devised a compact and efficient approach combining advanced digital signal processing (DSP) with AI algorithmic acceleration, on the same silicon, exchanging data via on-chip large memory, setting a new standard for performance, power consumption, efficiency, area and cost.