Chaim Rand

I am a Machine Learning Algorithm Developer working on Autonomous Vehicle technologies at Mobileye.

Joined on Dec 21, 2023

Chaim Rand

Nov 3

On the Programmability of AWS Trainium and Inferentia

#aws #ec2 #ai #machinelearning

15 min read

Chaim Rand

Nov 3

AI Model Optimization on AWS Inferentia and Trainium

#aws #ec2 #ai #machinelearning

11 min read

Chaim Rand

Sep 4

Training AI Models on CPU on AWS EC2

#ec2 #ai #aws #machinelearning

16 min read

Chaim Rand for AWS Community Builders

Mar 11

A Priority Based Scheduler for Amazon SageMaker Training Jobs

#sagemaker #aws #deeplearning #mlop

14 min read

Chaim Rand for AWS Community Builders

Mar 4

Retaining Amazon SageMaker Instance Capacity with SageMaker Managed Warm Pools

#sagemaker #cloudml #aws

5 min read

Chaim Rand for AWS Community Builders

Jan 24

Optimizing Instance Type Selection for AI Development in Cloud Spot Markets

#deeplearning #ec2 #mlops #spot

11 min read

Chaim Rand for AWS Community Builders

Dec 29 '23

Debugging and Tuning Amazon SageMaker Training Jobs with SageMaker SSH Helper

#aws #sagemaker #mlops #deeplearning

11 min read

Chaim Rand for AWS Community Builders

Dec 23 '23

Using Server-less Functions to Govern and Monitor Cloud-Based Training Experiments

12 min read

Chaim Rand for AWS Community Builders

Dec 21 '23

Accelerating PyTorch Training Workloads with FP8

#ai #deeplearning

9 min read

DEV Community

Chaim Rand

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Writing Debut

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AWS Community Builders

On the Programmability of AWS Trainium and Inferentia

AI Model Optimization on AWS Inferentia and Trainium

Training AI Models on CPU on AWS EC2

A Priority Based Scheduler for Amazon SageMaker Training Jobs

Retaining Amazon SageMaker Instance Capacity with SageMaker Managed Warm Pools

Optimizing Instance Type Selection for AI Development in Cloud Spot Markets

Debugging and Tuning Amazon SageMaker Training Jobs with SageMaker SSH Helper

Using Server-less Functions to Govern and Monitor Cloud-Based Training Experiments

Accelerating PyTorch Training Workloads with FP8