New Storage-Optimized Amazon EC2 I4g Instances: Graviton Processors and AWS Nitro SSDs
TutoSartup excerpt from this article:
Today we are launching I4g instances powered by AWS Graviton2 processors that deliver up to 15% better compute performance than our other storage-optimized instances... With up to 64 vCPUs, 512 GiB of memory, and 15 TB of NVMe storage, one of the six instance sizes is bound to be a great fit for your storage-intensive workloads: relational and non-relational databases, search engines, file system...
Today we are launching I4g instances powered by AWS Graviton2 processors that deliver up to 15% better compute performance than our other storage-optimized instances... With up to 64 vCPUs, 512 GiB of memory, and 15 TB of NVMe storage, one of the six instance sizes is bound to be a great fit for your storage-intensive workloads: relational and non-relational databases, search engines, file system...
Accelerate protein structure prediction with the ESMFold language model on Amazon SageMaker
TutoSartup excerpt from this article:
In contrast, recently-developed computational methods can rapidly and accurately predict the structure of a protein from its amino acid sequence... One well-known example of this is AlphaFold, a deep learning-based algorithm celebrated for its accurate predictions... ESMFold is another highly-accurate, deep learning-based method developed to predict protein structure from its amino acid sequenc...
In contrast, recently-developed computational methods can rapidly and accurately predict the structure of a protein from its amino acid sequence... One well-known example of this is AlphaFold, a deep learning-based algorithm celebrated for its accurate predictions... ESMFold is another highly-accurate, deep learning-based method developed to predict protein structure from its amino acid sequenc...
Transform, analyze, and discover insights from unstructured healthcare data using Amazon HealthLake
TutoSartup excerpt from this article:
We explain how to extract information from customer clinical data charts using Amazon Textract, then use the raw extracted text to identify discrete data elements using Amazon Comprehend Medical... We store the final output in Fast Healthcare Interoperability Resources (FHIR) compatible format in Amazon HealthLake, making it available for downstream analytics... For our solution, we process a sma...
We explain how to extract information from customer clinical data charts using Amazon Textract, then use the raw extracted text to identify discrete data elements using Amazon Comprehend Medical... We store the final output in Fast Healthcare Interoperability Resources (FHIR) compatible format in Amazon HealthLake, making it available for downstream analytics... For our solution, we process a sma...
Host ML models on Amazon SageMaker using Triton: Python backend
TutoSartup excerpt from this article:
Amazon SageMaker provides a number of options for users who are looking for a solution to host their machine learning (ML) models... For example, your business may have a model that must meet the strictest SLAs for latency and throughput with very predictable performance... For that use case, SageMaker provides SageMaker single model endpoints (SMEs), which allow you to deploy a single ML model ag...
Amazon SageMaker provides a number of options for users who are looking for a solution to host their machine learning (ML) models... For example, your business may have a model that must meet the strictest SLAs for latency and throughput with very predictable performance... For that use case, SageMaker provides SageMaker single model endpoints (SMEs), which allow you to deploy a single ML model ag...
A sneak peek at the identity and access management sessions for AWS re:Inforce 2023
TutoSartup excerpt from this article:
IAM201: A first-principles approach: AWS Identity and Access Management (IAM) Learning how to build effectively and securely on AWS starts with a strong working knowledge of AWS Identity and Access Management (IAM)... AWS re:Inforce 2023 is fast approaching, and this post can help you plan your agenda with a look at the sessions in the identity and access management track... You have access t...
IAM201: A first-principles approach: AWS Identity and Access Management (IAM) Learning how to build effectively and securely on AWS starts with a strong working knowledge of AWS Identity and Access Management (IAM)... AWS re:Inforce 2023 is fast approaching, and this post can help you plan your agenda with a look at the sessions in the identity and access management track... You have access t...
AWS Week in Review – AWS Notifications, Serverless event, and More – May 8, 2023
TutoSartup excerpt from this article:
Along with many customers and colleagues from AWS, we are going to be live on May 17 at a virtual free event... During the AWS Serverless Innovation Day we will share best practices related to building event-driven applications and using serverless functions and containers... Get a calendar reminder and check the full agenda at the event site... AWS Open-Source News and Updates – This is a ...
Along with many customers and colleagues from AWS, we are going to be live on May 17 at a virtual free event... During the AWS Serverless Innovation Day we will share best practices related to building event-driven applications and using serverless functions and containers... Get a calendar reminder and check the full agenda at the event site... AWS Open-Source News and Updates – This is a ...
Securing MLflow in AWS: Fine-grained access control with AWS native services
TutoSartup excerpt from this article:
This post provides a solution tailored to customers that are already using MLflow, an open-source platform for managing ML workflows... In a previous post, we discussed MLflow and how it can run on AWS and be integrated with SageMaker—in particular, when tracking training jobs as experiments and deploying a model registered in MLflow to the SageMaker managed infrastructure... However, the open...
This post provides a solution tailored to customers that are already using MLflow, an open-source platform for managing ML workflows... In a previous post, we discussed MLflow and how it can run on AWS and be integrated with SageMaker—in particular, when tracking training jobs as experiments and deploying a model registered in MLflow to the SageMaker managed infrastructure... However, the open...