Webinars

Enabling Technologies: Delivering a 6G World

There is no doubt that 6G will bring great changes to the world of connectivity, enabling revolutionary use cases. In the case of 6G, some commonly cited technological challenges include the openness of networks, aggregated network functions, and a lack of automation. Join our Director of Product Marketing, Colin Alexander, as he answers key questions regarding the implementation of 6G networks.

Unlock the Full Potential of FPGAs for Real-Time ML Inference

In this presentation, presented by Bill Jenkins, Director of Product Marketing for AI/Military/Financial, using the example of automatic speech recognition (ASR), we will explore how FPGAs can be used to accelerate conversational AI and Natural Language Processing applications.

Selecting Optimal Technology for AI Applications

In this webinar, presented by Colin Alexander, Director of Product Marketing, we discuss how FPGA and eFPGA IP solutions can meet the requirements of several edge applications that were traditionally only done in a data center.

Unlocking the Full Potential of FPGAs for Real-Time ML Inference

In this webinar, Achronix Sr. Manager of Product Planning, Salvador Alvarez, presents "Unlocking the Full Potential of FPGAs for Real-Time ML Inference – Tuning an Overlay to an Architecture". In this presentation, using the example of automatic speech recognition (ASR), we will explore how an overlay can be used to optimally leverage the potential performance of an FPGA architecture.

The Rise of the SmartNIC

In this webinar, Scott Schweitzer, Achronix Director of SmartNIC Product Planning and Jon Sreekanth, CTO of Accolade discuss:

• SmartNIC architecture for 100GbE and beyond
• Why the Data Plane needs to be dynamically programmable
• The distinction between packet and flow functions
• Why simply adding a sea of Arm cores in the Data Plane will not scale
• The need for a highly performant on-chip network

eFPGA IP Workload for Autonomous Vehicles

To unlock Level 5, truly autonomous vehicles, the industry needs more than just eccentric machine learning algorithms. The future of the automotive industry is dependent on our ability to produce high-performance, low-latency computing platforms.

IP workload acceleration is going to be a key ingredient in the future hardware for driving autonomy, and for that eFPGA technology is the ideal solution. In this webinar, Colin Alexander, Director of Product Marketing at Achronix, discusses the roadblocks to achieving full autonomy and how hardware acceleration with eFPGAs will play a key role moving forward in the automotive landscape.

FPGA Technology Enables Industry 4.0 and 5.0 through AI/ML Acceleration

The factories of the future, known as Industry 4.0 (today) and 5.0 (going forward), are undeniably a driving force for much of today’s tech innovation. Today, new technologies like robotics, 5G, artificial intelligence (AI), and machine learning (ML) are finding themselves integrated into standard industry workflows. Underlying this remarkable trend has been unprecedented levels of innovation in computing technology, with FPGAs being at the heart.

Managing FPGA Resources as Virtualized Accelerator Blocks

Achronix Semiconductor's presentation reviews how FPGA and embedded FPGA (eFPGA) IP resources can be utilized to provide support for various acceleration offload requirements including protocol translation, security and ML workloads.

After attending this presentation, you will understand the benefits of FPGA and eFPGA IP architectures and how they can be used to implement virtualized accelerator blocks in your design.

How FPGAs Enable Heterogeneous Computing

This presentation will cover the FPGA market and its history, and how FPGAs address the heterogeneous computing space. It will then introduce Achronix products and technology, which incorporate some of the industry’s most differentiated FPGA technology, implemented in the most advanced semiconductor process nodes. The presentation will also cover use cases in data centers, networking, wireless infrastructure, and automotive.

How to Overcome the Pain Points of AI/ML Hardware

In this webinar, you will learn:

• Top trends in data generation
• Three challenges in processing data with AI/ML hardware solutions
• How FPGA architectures can overcome data processing challenges
• Featured example: How to achieve 60 TOPS in Speedster®7t FPGAs

Join the webinar to find out why FPGAs and embedded FPGA (eFPGA) IP are ideal platforms for AI/ML inferencing solutions that provide the flexibility of a GPU while performing at ASIC-like speeds.