Webinar - Technical Overview of the Cerebras CS-1, the AI Compute Engine for Neocortex
To be presented on Wednesday, August 19, 2020, 2:00 - 3:00 pm (ET), by Natalia Vassilieva, Ph.D. (Cerebras Systems Inc.)
In this webinar, we will offer a technical deep dive into the Cerebras CS-1 system, the Wafer Scale Engine (WSE) chip, and the Cerebras Graph Compiler. The Cerebras CS-1 is the groundbreaking specialized AI hardware technology to be featured on Neocortex, PSC’s upcoming NSF-funded AI supercomputer. Neocortex, planned for deployment in late 2020, will enable on-chip model and data parallelism and will significantly accelerate the training of ambitious deep learning.
If you are interested in becoming a Neocortex user, this is a great opportunity for you.
The most significant constraint on deep learning research and AI innovation today is long training times. Training deep neural network models with large real-world datasets commonly takes days, weeks, or even months, using computing infrastructure that was fundamentally designed for other work. To speed up training, researchers today must use large clusters of processors and distributed scale-out implementations of their training jobs. While this does reduce wall-clock training time for a single run, it is inefficient, requires time and expertise in distributed programming, and entails extensive model and hyperparameter tuning that impedes research. In contrast, the Cerebras CS-1 – powered by its massive, 400,000 core domain-specific Wafer-Scale Engine processor – provides the AI compute resources of a cluster with the usability and ease of use of a single device. In addition to that, the CS-1 is uniquely advantaged for novel techniques and emergent model architectures that challenge traditional AI accelerators.This webinar will include:
- Technical overview of the Cerebras Wafer Scale Engine (WSE), the world’s only trillion-transistor processor;
- Introduction to the CS-1 system, hosting the WSE, and built to power, cool and bring data to the WSE;
- And a technical intro to the Cerebras Graph Compiler, tightly co-designed with the WSE to be able to take full advantage of its computational resources while allowing researchers to program using popular deep learning frameworks such as TensorFlow.
This webinar will use the Zoom conferencing system. You will receive connection details when you complete the registration process.
Please submit your pre-webinar questions via Slido (event code 68606). This link will close 1 hour prior to the event.
The recording of the webinar and slides will be made available to registered attendees. For more information about Neocortex, explore the project page.
For questions about this webinar, please email email@example.com.