Introduction to Tenstorrent Grayskull™ e150 – Accelerating AI Inference

Embark on an enlightening exploration into the realm of accelerated AI inference with the Tenstorrent Grayskull e150 DevKit in our upcoming webinar. This session will provide a comprehensive overview of Tenstorrent’s cutting-edge AI hardware and open software, showcasing the innovative TT-Buda and TT-Metalium software approaches that create an unmatched environment for AI experimentation and development. Participants will have the opportunity to delve into the diverse spectrum of AI capabilities supported by Grayskull, ranging from natural language processing with BERT to real-time object detection with YOLO. Additionally, discover the potential of the Grayskull™ e150 Software Development Kit, which enables seamless model deployment with TT-Buda and extensive customization with TT-Metalium, propelling the frontier of AI exploration and advancement. Join us to gain valuable insights and empower your journey in the evolving landscape of artificial intelligence. 

During this engaging webinar, participants will: 

• Gain insights into the hardware architecture, features, and specifications of Grayskull™ e150. 
• Learn how to leverage TT-BUDA and TT-Metalium to run AI models, backed by live demonstrations. 
• Navigate the software stack from firmware to the AI model compiler. 
• Explore software development topics including setup, maintenance, troubleshooting, and support. 
• Engage in a dynamic Q&A session to address specific use cases. 
• Experience a live demonstration showcasing the prowess of Grayskull™ e150 and gain access to early adopter programs. 

Don’t miss out on this exclusive opportunity to elevate your understanding of accelerated AI inference with Tenstorrent’s AI inference technology. Reserve your spot today and embark on a journey of innovation! 

Organizers  

• Tom Stesco, Staff AI/ML Engineer, Tenstorrent 

Tom Stecso is a Staff Field Application Engineer at Tenstorrent focusing on AI software. 

• Yassine Hariri, Sr. Scientist AI/ML, CMC Microsystems 

Over 15 years of experience in advanced computing systems from the cloud to the very edge, with a focus on artificial intelligence, computer vision, video, image and sensor fusion workloads acceleration, FPGA-based prototyping, software stack, and domain-specific hardware architectures. Currently leading projects related to the specification, development, implementation, deployment, and support of the next generation of advanced computing infrastructure mainly FPGAs, GPUs, and Custom Hardware for AI applications. Dr. Hariri earned his B.A.Sc. in Computer Engineering from Ecole Marocaine des Sciences de l’ingénieur, Casablanca, Morocco, in 1998, and the M.S. and Ph.D. degrees from Ecole de Technologie Supérieure (ETS), Montreal, QC, Canada, in 2002 and 2008, respectively, all in electrical engineering.