Supercharging AI with Axel's AI Metis Platform

Table of Contents

1. Introduction
2. Background of Bram Verhoff
3. Overview of Axel's AI and the Metis Platform
4. Unique Features and Differentiation in the Market
5. Hardware and Software Integration
6. Performance and Cost-effectiveness Comparison
7. Post-training Quantization Flow
8. YOLO Model Evaluation on the Accelera Metis AIPU
9. Wide Range of Applications
10. Pricing and Availability
11. Conclusion

Harnessing AI Native Power with Axel's AI Metis Platform

In today's rapidly advancing technological landscape, the power of artificial intelligence (AI) is becoming increasingly evident. As industries across the board strive to leverage the benefits of AI, one company is at the forefront of harnessing its full potential. Axel's AI, led by the esteemed speaker Bram Verhoff, has developed the groundbreaking Metis platform. This platform offers industry-leading performance and unparalleled usability, all while minimizing costs and power consumption. In this article, we will delve into the remarkable achievements of Axel's AI and uncover the incredible results of their hardware and software synergy in optimizing YOLO models for inference on edge devices.

1. Introduction

Introducing the speaker, Bram Verhoff, who brings a wealth of expertise from the fields of statistics, psychology, and neuroscience. With a PhD from KU Leuven and extensive post-doctoral research at prestigious institutions such as Harvard University and the University of Chicago, Bram's focus lies in computational neuroscience, particularly in understanding the intricate mechanisms governing attention. In 2017, Bram returned to Belgium to join Axel's AI as a principal member of the technical staff, spearheading the development of algorithms for a groundbreaking analog compute-in-memory deep learning chip.

2. Background of Bram Verhoff

A brief overview of Bram Verhoff's impressive academic and professional background, highlighting his expertise in computational neuroscience and his contributions to Axel's AI as the head of machine learning.

3. Overview of Axel's AI and the Metis Platform

A comprehensive introduction to Axel's AI and the Metis platform, showcasing its power, efficiency, cost-effectiveness, and user-friendly nature. Highlighting the specific focus on computer vision applications and Generative AI at the edge, with target markets including retail, security, robotics and drones, Healthcare, and automotive industries.

4. Unique Features and Differentiation in the Market

Exploring the unique features that set Axel's AI apart from other solutions in the market. Emphasizing the integration of proprietary hardware and software, the seamless merging of compute and memory elements, and the flexibility and high programmability of the Risk-5 architecture.

5. Hardware and Software Integration

Delving into the details of Axel's AI hardware, specifically the Digital IM Memory Computation Array. Highlighting the benefits of merging compute and memory elements for enhanced power and energy efficiency, smaller die area, and high throughput. Discussing the integration of the Risk-5 architecture for enhanced programmability.

6. Performance and Cost-effectiveness Comparison

Comparing the performance and cost-effectiveness of Axel's AI Metis platform to existing edge solutions in the market. Showcasing the impressive 214 Tops of performance and the significant improvement in operations per dollar spent. Highlighting the high energy efficiency of 15 Tops per watt.

7. Post-training Quantization Flow

Explaining the importance of quantization in deploying models on Axel's AI hardware. Introducing Axel's AI's post-training quantization flow, which automates the quantization process and minimizes accuracy loss. Showcasing the minimal quantization loss for YOLO models and even outperforming quantization training in some cases.

8. YOLO Model Evaluation on the Accelera Metis AIPU

Discussing the evaluation of YOLO models on Axel's AI hardware. Presenting the impressive throughput numbers achieved for various YOLO variants, emphasizing the high frames per Second for inference at typical resolutions. Demonstrating the compatibility with different activation functions and showcasing the minimal quantization loss.

9. Wide Range of Applications

Exploring the diverse range of applications for Axel's AI Metis platform, including retail, security, robotics and drones, industry 4.0, healthcare, and automotive industries. Highlighting the adaptability and versatility of the platform for various use cases.

10. Pricing and Availability

Providing information about the pricing and availability of Axel's AI Metis platform. Highlighting the affordability with entry-level models starting at 149 Euros and options for higher-end applications.

11. Conclusion

Concluding the article with a summary of Axel's AI's remarkable achievements in harnessing AI's native power through their Metis platform. Emphasizing the benefits of their hardware and software integration, high performance, cost-effectiveness, and post-training quantization flow. Encouraging readers to explore the potential of Axel's AI solution for their specific AI applications.

Resource: Axel's AI