Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

Avnet to Distribute Mipsology’s Breakthrough FPGA Deep Learning Inference Acceleration Software in APAC

Zebra Dramatically Reduces Latency and Boosts Performance, Flattening Time-To-Market for AI Solutions in Autonomous Cars, Robotics and Smart Cities

Global technology solutions provider Avnet Asia and AI software innovator Mipsology announced that Avnet will promote and resell Mipsology’s Zebra software platform to its APAC customer base. Zebra removes the technical complexity of FPGAs, making them plug-and-play with exceptionally fast performance. This agreement extends Avnet’s IoT ecosystem, bringing Mipsology’s breakthrough deep learning inference acceleration solution to its Asia customers. Companies looking to deploy AI can now seamlessly migrate to new FPGA-based acceleration technologies with no code change and enjoy a much longer lifespan for software and hardware than they could with GPU-based solutions.

Recommended AI News: Three Secrets To Better Understanding Target Accounts And Buying Committees

Avnet’s first product incorporating the solution will be the Zebra-powered Xilinx Alveo data center accelerator cards. The range of offerings is expected to expand in the future. In addition to distributing the solution, Avnet offers a comprehensive suite of services for customers looking at deploying machine learning for data centers, including hardware, software, system integration, application development, design chain and technical expertise.

FPGAs are better suited than GPUs to accelerate the decision-making (inference) process for large industrial AI applications like video surveillance, smart cities and autonomous cars.  However, FPGA programming requires the significant knowledge and expertise of specialized, hard-to-find hardware designers. Zebra eliminates the need for FPGA expertise, making them as easy to use for deep learning inference acceleration as CPU/GPU. Running neural networks defined with TensorFlow, PyTorch, Caffe, and other frameworks on FPGAs would normally require considerable manual time and effort; Zebra makes it instant and effortless.

Related Posts
1 of 40,653

Recommended AI News: AiThority Interview with Liam McCance, Chief Strategy Officer at Singlife

“Avnet is committed to driving IoT innovation and simplifying complexities, enabling businesses to deploy complete solutions more rapidly,” said Alan Chui, supplier business management president, Avnet Asia. “The combination of Avnet’s comprehensive design services, Alveo’s best-in-class FPGA acceleration and Mipsology’s Zebra technology empowers our customers with a low-cost, high-performance and long lifespan solution for AI neural networking inference.”

Zebra dramatically accelerates computation in the inference phase, reducing latency and boosting the performance of machine learning applications. It enables any neural network to compute faster, typically with lower power consumption, at lower cost.

“Our team is thrilled that Avnet will introduce Zebra to its massive APAC customer base,” said Ludovic Larzul, CEO and founder of Mipsology. “Zebra has been tested by many users and proven effective for enabling real AI applications, reducing the risk of deploying them with direct transition from training to manual work. We look forward to helping Avnet’s customers not only in the data center, but also with industrial AI applications like video surveillance/analytics, transportation, robotics, satellites and smart cities.”

Recommended AI News: Security And Risk Management Trends For 2020

Comments are closed, but trackbacks and pingbacks are open.