Overview
Based on Amazon Linux 2, this AMI is recommended for use when launching your Amazon EC2 Habana based instances for ECS. It comes pre-configured with Habana kernel drivers and Habana container runtime for Docker which makes training machine learning workloads easy using Amazon ECS.
Highlights
- Gaudi has been designed from the ground up for accelerating Deep Learning training workloads in datacenters
- Provides AI developers with fast and easy access to Gaudi in the cloud, to be used with optimized deep learning framework containers from Habana
Details
Typical total price
$13.109/hour
Pricing
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
dl1.24xlarge Recommended | $0.00 | $13.109 | $13.109 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
n/a
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Additional details
Usage instructions
- Launch EC2 Instance
- Follow instructions in the following repo about Running/Pulling Docker Containers https://github.com/HabanaAI/Setup_and_Install
- Follow Guides below for getting started with TensorFlow or PyTorch TensorFlow (https://docs.habana.ai/en/latest/Tensorflow_User_Guide/Tensorflow_User_Guide.html ) PyTorch (https://docs.habana.ai/en/latest/PyTorch_User_Guide/PyTorch_User_Guide.html )
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AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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