Accelerate "real-time edge AI" with Microchip's ultra-low power FPGA and NVIDIA AI platform!

In this webinar Holoscan, NVIDIA's AI platform and, PolarFire, an ultra-low power FPGA from Microchip A combination of Real-time Edge AI Solution of
I suggest. PolarFire ^® FPGA Receives interfaces from various sensors and transmits the data NVIDIA Holoscan Bridge to the platform for higher performance
Innovative Edge AI can be achieved in real time.

PolarFire FPGAs are power efficient, secure and reliable. NVIDIA of AI By combining it with our platform, we can provide our customers with the optimal solution.
Also, FPGA We will also introduce solutions that are intended for embedded devices, which have many use cases.

In recent years, embedded devices are required to have high processing capabilities in addition to being compact and low power consumption. PolarFire and PolarFire SoC By using
Yes, you can. Specifically, medical, smart robotics and the sensors implemented therein. IF Or video IP We will provide updates on solutions, functional safety, and more.
Don't miss this rare opportunity to ask any questions you have to our team of experts!

● Date and time: Wednesday, March 5, 2025, 14:00-15:00
・ Name: Accelerating real-time edge AI with the NVIDIA AI platform
・ format: Online Seminars
Participation fee: Free (pre-registration required)
・Organizer: Microchip Technology Japan Co., Ltd.
※To apply, The following is from ITmedia's website: Please apply.