AWS has launched an exciting new EC2 instance type called DL1 instances. Amazon EC2 DL1 instances are designed for training deep learning models at a much lower cost.
DL1 instances provide up to 40% better price-performance for training deep learning models compared to the current generation of GPU-based instances.
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These are going to be great for training deep learning models for natural language processing, object detection, and image-recognition use cases.
But the really cool thing about these new instance types is that they are powered by Gaudi AI from Habana Labs training processors instead of GPUs, and they are designed from the ground up to optimize AI performance. They also support machine learning (ML) frameworks like TensorFlow and PyTorch.
Here’s a look at specs for dl1.24xlarge instances courtesy of the AWS blog:
- Gaudi Accelerators – Each instance is equipped with 8 Gaudi accelerators, with a total of 256 GB of High Bandwidth (HBM2) accelerator memory and high-speed, RDMA-powered communication between accelerators
- System Memory – 768 GB of system memory, enough to hold very large sets of training data in memory, as often requested by our customers
- Local Storage – 4 TB of local NVMe storage, configured as four 1 TB volumes
- Processor – Intel Cascade Lake processor with 96 vCPUs
- Network – 400 Gbps of network throughput
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The new DL1 instances are currently available in US West (Oregon) and US East (N. Virginia) regions in On-Demand and Spot; you can also purchase Reserved Instances and Savings plans. Head here for more details.
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Speaking or re:Invent . . . re:Invent 2021 is just around the corner!
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What else is going on with AWS this week? Check out the video below for details around Babelfish for Aurora PostgreSQL and EC2 supporting access to Red Hat Knowledgebase. And keep being awesome, cloud gurus!