Search results for Aws Inferentia

Cost effective deployment of vision-language models for pet behavior detection on AWS Inferentia2

Tomofun, the Taiwan-headquartered pet-tech startup behind the Furbo Pet Camera, is redefining how pet owners interact with their pets remotely. To reduce costs and maintain accurac...

Capacity-aware inference: Automatic instance fallback for SageMaker AI endpoints

Today, Amazon SageMaker AI introduces capacity aware instance pool for new and existing inference endpoints. You define a prioritized list of instance types, and SageMaker AI autom...

AWS nabs white hot gen AI media creation startup fal, becoming its preferred cloud provider

Generative AI’s rapid transition from text-based chatbots to high-fidelity media—spanning images, video, spatial 3D, and audio—has exposed a glaring bottleneck in the modern tech s...

Beyond the LLM: Why Amazon Bedrock Agents Are the New EC2 for AI Orchestration

In 2006, Amazon Web Services (AWS) launched Elastic Compute Cloud (EC2). It was a watershed moment that moved computing from physical server rooms to a scalable, virtualized utilit...

Building AI defenses at scale: Before the threats emerge

At AWS, we’ve spent decades developing processes and tools that enable us to defend millions of customers simultaneously, wherever they operate around the world. Every day, our sec...

Accelerate Generative AI Inference on Amazon SageMaker AI with G7e Instances

Today, we are thrilled to announce the availability of G7e instances powered by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs on Amazon SageMaker AI. You can provision nodes wi...

Amazon SageMaker AI now supports optimized generative AI inference recommendations

Today, Amazon SageMaker AI  supports optimized generative AI inference recommendations. By delivering validated, optimal deployment configurations with performance metrics, Amazon...

AWS is 20—and all in on AI

In 2006, Amazon Web Services was a fledgling—and a bit of an oddity. Amazon had taken the cloud-computing technologies it had created for its own operations and turned them into a...

Unleashing Agentic AI Analytics on Amazon SageMaker with Amazon Athena and Amazon Quick

This post demonstrates how agentic AI assistant from Amazon Quick transform data analytics into a self-service capability by using Amazon Simple Storage Service (Amazon S3) as a st...

Security posture improvement in the AI era

It’s only been a few weeks since Anthropic announced the Claude Mythos Preview model and launched Project Glasswing with AWS and other leading organizations. This has generated a l...

AWS Bedrock: The Future of Enterprise AI

Generative AI has moved from experimental prototypes to production‑grade systems in a remarkably short time. Yet for most engineering teams, the challenge isn’t building a model —...

Ultimate AWS Certified AI Practitioner (AIF-C01): Complete Beginner-to-Pro Guide

Master the AWS Certified AI Practitioner (AIF-C01) exam with this complete guide covering AI basics, GenAI, Bedrock, SageMaker, security…Continue reading on codingsprints »

Best practices to run inference on Amazon SageMaker HyperPod

This post explores how Amazon SageMaker HyperPod provides a comprehensive solution for inference workloads. We walk you through the platform’s key capabilities for dynamic scaling,...

Enabling AI sovereignty on AWS

Cloud and AI are transforming industries and societies at unprecedented speed, from accelerating research and enhancing customer experiences to optimizing business processes and en...

The First Derivative of Inference

The fastest-growing companies in AI & software are either selling AI directly or reselling inference. At worst, they are the first derivative of inference. Inference is the lar...

Introducing Claude Platform on AWS: Anthropic’s native platform, through your AWS account

Today, we're excited to announce the general availability of Claude Platform on AWS. Claude Platform on AWS is a new service that gives customers direct access to Anthropic's nativ...

Snowflake to burn $6B on AWS Graviton CPUs and AI accelerators

Dataware house gambles cloud conveniences, AI accelerated insights will justify the cost.

Optimize video semantic search intent with Amazon Nova Model Distillation on Amazon Bedrock

In this post, we show you how to use Model Distillation, a model customization technique on Amazon Bedrock, to transfer routing intelligence from a large teacher model (Amazon Nova...

The next generation of Amazon OpenSearch Serverless: Built from the ground up for agents

Today, we are announcing a ground-up re-architecture of Amazon OpenSearch Serverless that delivers up to 20 times faster autoscaling, scale to zero, and up to 60% lower cost than p...

Introduction to Amazon Web Services (AWS) | Simplilearn

A few years ago, the popular online music service Spotify had a problem. Users were receiving application errors rather than bobbing their heads to the latest Taylor Swift lyric. T...

Architecting Petabyte-Scale Hyperspectral Pipelines on AWS

The Data Challenge Every industry has its version of the same data engineering problem: massive, complex payloads generated at the edge — far from the cloud, often on unreliable ne...

Amazon: Ride AWS AI Workload Acceleration Optimism

Uber scales on AWS to help power millions of daily trips and to train its AI models

Uber, the world’s largest ride-sharing and on-demand delivery company, is expanding its infrastructure and artificial intelligence (AI) capabilities on Amazon Web Services (AWS). U...

Meet Amazon Redshift RG – AWS Graviton-based instances with an integrated data lake query engine delivering up to 2.4x b...

On May 12, 2026, we announced the general availability of Amazon Redshift RG instances, powered by AWS Graviton processors. RG instances are up to 2.2x as fast for data warehouse w...