AWS Trainium is a machine learning accelerator built for deep learning training.
Hi Guys, this is Abi from Gokce DB and in this video you are going to learn 6 things about Trainium in AWS. Let's get into it.
1. Large Deep Learning models such as GPT-3 have over 100 billion parameters. To train them, you require significant computational resources. AWS Trainium is a machine learning accelerator optimized to provide a cost-effective and scalable platform for training deep learning models.
2. An accelerator is a high-performance parallel computation hardware that is specifically designed for the efficient processing of AI workloads. In AWS, each EC2 Trainium instance deploys up to 16 AWS Trainium accelerators to deliver a high-performance, low-cost solution for deep learning training in the cloud.
3. Trainium based EC2 Trn1 instances offer up to 50% cost-to-train savings over comparable Amazon EC2 instances.
4. Trainium has been optimized for training natural language processing, computer vision, and recommender models. Use cases include speech recognition, recommendation service, fraud detection and forecasting.
5. Each Trainium accelerator has 32 gigs of high-bandwidth memory and features NeuronLink, an intra-instance high-speed interconnect technology.
6. By using AWS Neuron SDK with Trainium, you get native support for popular machine learning frameworks such as PyTorch and TensorFlow. This means you can continue using your existing workflows and get started with Trainium with only a few lines of code changes.
There you have it.
