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JP Electronic Devices (JPED) specializes in marketing & distribution of Electronic Components from leading semiconductor manufacturers.
Established in 2003 , JPED has over the years earned enviable position of being distributor of choice for major OEMs, ODMS, EMS.
Integrity, commitment to quality & service has helped JPED, to become distributor of choice.
JPED has become an integral part of supply chain management of several eminent customers in segments such as Consumer Electronics, Industrial Electronics, Lighting, Entertainment, Telecom & IT, Medical and Automotive.
Electronics People Since 1965
Brilliant Electro Systems Pvt. Ltd. is a leading distributor of specialized electronic components in India. The company supplies components to EMS and OEM manufacturers, ODM manufacturers, Automotive manufacturers, Industrial, Metering, IoT, Lighting and Power, Computing and Telecom industries.
Alif Semiconductor is the industry-leading supplier of the next-generation Ensemble family of microcontrollers and fusion processors. The Ensemble family scales from single core MCUs to a new class of multi-core devices, fusion processors, that blend up to two Cortex-M55 MCU cores, up to two Cortex-A32 microprocessor cores capable of running high-level operating systems, and up to two Ethos-U55 microNPUs for AI/ML acceleration.
LeWorks is a Swedish company, based in China. It provides services for fast growing companies that need flexible factory rental contracts. LeWorks offers sourcing services, helping companiesfind and buy quality parts and products from China and helps companies develop their products, prototypes and design for manufacturing world
All-Hardware is a web-based service that allows chipmakers to provide remote access to their development boards to their customers around the world, and instructors to conduct hands-on workshops online.
Andes Technology (TWSE: 6533) was established in Hsinchu Science Park in 2005. Sixteen years in business and a founding Premier member of RISC-V International, Andes is a leading supplier of high-performance/low-power 32/64-bit embedded processor IP solutions, and a main force to take RISC-V mainstream. Andes’ fifth-generation AndeStar™ architecture (V5) adopted the RISC-V as the base. Its V5 RISC-V CPU families range from tiny 32-bit cores to advanced 64-bit cores with DSP, FPU, Vector, Linux, superscalar and/or multicore capabilities. The annual volume of Andes-Embedded SoCs has exceeded 2 billion since 2020 and continues to rise. To the end of 2020, the cumulative volume of Andes-Embedded™ SoCs has surpassed 7 billion.
EDGE AI FOUNDATION, formerly known as tinyML Foundation, is a global non-profit community focused on building a global community dedicated to innovation, collaboration, advocacy, and education for efficient, affordable, and scalable edge AI technologies.
EDGE AI FOUNDATION aims to bring together researchers, developers, business leaders and policymakers to tackle the big challenges in AI, from low-power machine learning to advanced edge computing.
Arm Ltd. is a British semiconductor and software design company based in Cambridge, England. Its primary business is in the design of ARM processors (CPUs).
Arm technology is at the heart of a computing and data revolution. The Arm architecture is the keystone of the world’s largest compute ecosystem. Together with technology partners Arm is at the forefront of designing, securing and managing artificial intelligence enhanced computing.
We develop compilers, simulators, toolchains, and IDEs. We utilise LLVM, LLDB, GDB, and Eclipse.
Semiconductors – LLVM Compiler
We develop board support packages, drivers, and other system software. We leverage Linux, ERIKA, Zephyr, FreeRTOS, U-Boot, Yocto, OpenEmbedded, and more.
Chilicon Power – Obsolete Wi-Fi module Replacement
Smart Control Case for TWS Earbuds
We simplify and optimize neural network inference for Arm Cortex-M55 and Ethos-U55, Xilinx Kria based Edge ML solutions. We leverage TVM, uTVM, TF Lite, Vela, Vitis AI, and LLVM. We accomplish this via ML compiler tuning and fine manual optimization on the assembler level.
Network-based Transfer Learning