New Amazon EC2 DL1 instances powered by Gaudi accelerators from Habana Labs, an Intel company, are designed specifically for training deep learning models. We invite you to test your skills and train a deep learning model of your choice using DL1 instances and Habana’s SynapseAI SDK. DL1 instances are powered by 8 Gaudi accelerators and we encourage you to utilize multiple Gaudi accelerators to efficiently scale your deep learning model training.
What to Build
Train a deep learning model on new Amazon EC2 DL1 instances. You can also migrate existing models to DL1 instances.
What to Submit
- Provide a URL to your code repository for judging and testing. Provide access by making it public or share access as instructed in the submission form.
- Explain and identify the datasets used in training your model.
- Include a video (about 3 minutes) that demonstrates your submission. Videos must be uploaded to YouTube, Vimeo, or Facebook Video and made public.
- Provide email associated with the AWS Account ID.
Prizes
First Place
• $35,000 USD
• $5,000 in AWS Credits
Second Place
• $20,000 USD
• $5,000 in AWS Credits
Third Place
• $15,000 USD
• $5,000 in AWS Credits
Fourth Place
• $10,000 USD
• $5,000 in AWS Credits
Best Computer Vision Application
• $5,000 USD
• $1,000 in AWS Credits
Runner up Computer Vision Applications
• $2000 USD
• $500 in AWS Credits
Best Natural Language Processing Applications
• $5,000 USD
• $1,000 in AWS Credits
Runner Ups Natural Language Processing Applications
• $2000 USD
• $500 in AWS Credits
Best Technical Implementation
• $5,000 USD
• $1,000 in AWS Credits
Highest Potential Impact
• $5,000 USD
• $1,000 in AWS Credits
Most Creative
• $5,000 USD
• $1,000 in AWS Credits
Eligible Project Submitter
Credits for AWS merchandise worth up to $50 for the first 100 eligible project team members.
Devpost Achievements
Submitting to this hackathon could earn you:
Judges

Amr Ragab
Solutions Architect Amazon EC2

Chen Levkovich
SW Product Manager, Habana

Dvij Bajpai
Product Manager Amazon EC2

Libin Tang
Principal Engineer, Habana

Dr.Sandya Mannarswamy
Principal Engineer, Habana
Judging Criteria
-
20% - Quality of the Idea
Includes creativity, originality, and code quality. -
40% - Potential Value
Best practices and techniques that can help the broader community use DL1. -
40% - Implementation
How well is the idea executed by the developers and the efficiency of their code in utilizing the Gaudi accelerators? Extra points if your model is trained on more than one accelerator.
Questions? Email the hackathon manager
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