Tag: Sudo
Accelerate ML workflows with Amazon SageMaker Studio Local Mode and Docker support | Amazon Web Services
We are excited to announce two new capabilities in Amazon SageMaker Studio that will accelerate iterative development for machine learning (ML) practitioners: Local Mode...
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5 Ways to Remove Pages from PDFs
As we navigate through the intricacies of document management, it's not uncommon to encounter scenarios where a leaner, more focused PDF is desired. Perhaps...
Remove Pages from PDFs in 5 Different Ways
As we navigate through the intricacies of document management, it's not uncommon to encounter scenarios where a leaner, more focused PDF is desired. Perhaps...
Amazon EC2 DL2q instance for cost-efficient, high-performance AI inference is now generally available | Amazon Web Services
This is a guest post by A.K Roy from Qualcomm AI. Amazon Elastic Compute Cloud (Amazon EC2) DL2q instances, powered by Qualcomm AI 100...
Machine Learning with MATLAB and Amazon SageMaker | Amazon Web Services
This post is written in collaboration with Brad Duncan, Rachel Johnson and Richard Alcock from MathWorks. MATLAB  is a popular programming tool for a...
Microsoft Flushes Out ‘Ncurses’ Gremlins
A widely used programming library called "ncurses" is infested by malicious gremlins — in the form of multiple memory corruption vulnerabilities that give attackers a...
Amazon SageMaker Domain in VPC only mode to support SageMaker Studio with auto shutdown Lifecycle Configuration and SageMaker Canvas with Terraform | Amazon Web...
Amazon SageMaker Domain supports SageMaker machine learning (ML) environments, including SageMaker Studio and SageMaker Canvas. SageMaker Studio is a fully integrated development environment (IDE)...
Optimize equipment performance with historical data, Ray, and Amazon SageMaker | Amazon Web Services
Efficient control policies enable industrial companies to increase their profitability by maximizing productivity while reducing unscheduled downtime and energy consumption. Finding optimal control policies...
TRON DAO Honors Top HackaTRON Qualifiers for Completing Blockchain Deployment Milestone
Just over two weeks ago, on May 15, 2023, the TRON DAO team revealed the results of the HackaTRON Season Four competition. A...
Build high-performance ML models using PyTorch 2.0 on AWS – Part 1 | Amazon Web Services
PyTorch is a machine learning (ML) framework that is widely used by AWS customers for a variety of applications, such as computer vision, natural...
Host ML models on Amazon SageMaker using Triton: TensorRT models
Sometimes it can be very beneficial to use tools such as compilers that can modify and compile your models for optimal inference performance. In...
Optimized PyTorch 2.0 inference with AWS Graviton processors
New generations of CPUs offer a significant performance improvement in machine learning (ML) inference due to specialized built-in instructions. Combined with their flexibility, high...
Deploy pre-trained models on AWS Wavelength with 5G edge using Amazon SageMaker JumpStart
With the advent of high-speed 5G mobile networks, enterprises are more easily positioned than ever with the opportunity to harness the convergence of telecommunications...
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