GNSS (GPS, Galileo, GLONASS, Beidou3, QZSS, SBAS) Ultra-low power RF Receiver IP
Visit Quadric at CES to Discover the GPNPU that Solves The Biggest ML Inference Chip Design Challenges
Burlingame, CA – December 11, 2023 – Quadric® today announced that representatives from the company will be at the Consumer Electronics Show (CES) in Las Vegas, January 9-12, 2024. Email meetquadric@quadric.io to set up a meeting to learn how a general-purpose neural processing unit (GPNPU) solves the challenge of needing to artificially partition code between an NPU and a digital signal processor (DSP) and/or central processing unit (CPU).
“Because it’s fully programmable, our GPNPU runs all types of machine learning networks, including classical backbones, vision transformers, and large language models,” stated Steve Roddy, Quadric’s Chief Marketing Officer. “One architecture for ML inference plus pre-and-post processing greatly simplifies SoC hardware design and software programming. Porting new artificial intelligence (AI) and ML code is quick and efficient. No hardware changes are required, which means no silicon re-spins are required.”
Quadric’s processor architecture uniquely combines the best attributes of C++ programmability – the ability to run any ML model – with the performance efficiency of NPU accelerators found in many first-generation SoCs in the market today. But unlike inflexible accelerators that force silicon respins when complex new models such as Llama2 are invented, Chimera cores are fully programmable. Chimera GPNPUs run any model. All of the model – all of the layers. No removal of problematic layers. No partitioning. No forcing the data scientist to convert convolutions to adhere to the limited subset of conv types supported in hardware. Any model, any network, any operator.
About Quadric
Quadric Inc. is the leading licensor of general-purpose neural processor IP (GPNPU) that runs both machine learning inference workloads and classic DSP and control algorithms. Quadric’s unified hardware and software architecture is optimized for on-device ML inference. Learn more at www.quadric.io.
|
Related News
- Quadric Presents and Demos AI+ML Chimera GPNPU at Embedded Vision Summit 2024
- intoPIX Solutions Tackle the Biggest Challenges in Automotive Imaging at ADAS & Autonomous Vehicle Expo 2024
- Quadric's 3rd Generation Chimera GPNPU Product Family Expands to 864 TOPs, Adds Automotive-Grade Safety Enhanced Versions
- Quadric Announces Llama2 LLM Support Immediately Available for Chimera GPNPUs
- Quadric's DevStudio Speeds Software Development with Industry's First Integrated ML + DSP Cloud-Based Code Development Platform
Breaking News
- intoPIX Powers Ikegami's New IPX-100 with JPEG XS for Seamless & Low-Latency IP Production
- Tower Semiconductor and Alcyon Photonics Announce Collaboration to Accelerate Integrated Photonics Innovation
- Qualcomm initiates global anti-trust complaint about Arm
- EnSilica Agrees $18m 7 Year Design and Supply ASIC Contract
- SiliconIntervention Announces Availability of Silicon Based Fractal-D Audio Amplifier Evaluation Board
Most Popular
- Qualcomm initiates global anti-trust complaint about Arm
- Siemens acquires Altair to create most complete AI-powered portfolio of industrial software
- Alphawave Semi Reveals Suite of Optoelectronics Silicon Products addressing Hyperscaler Datacenter and AI Interconnect Market
- EnSilica Agrees $18m 7 Year Design and Supply ASIC Contract
- Rapidus Announces Strategic Partnership with Quest Global to Enable Advanced 2nm Solutions for the AI Chip Era
![]() |
E-mail This Article | ![]() |
![]() |
Printer-Friendly Page |