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Microsoft is questioning whether OpenAI’s recent partnership with AWS conflicts with the existing Azure exclusivity arrangement.
The tech is impressive, the trajectory problematic. Betting your agents on one cloud is a strategic mistake.
AWS Frontier agents work independently on specialized tasks, with the first three agents focused on autonomous coding, application security, and devops.
The option to reserve instances and GPUs for inference endpoints may help enterprises address scaling bottlenecks for AI workloads, analysts say.
Tech executives and journalists get caught up in the buzz over expensive deals, but enterprises are still waiting for affordable, reliable solutions to real business problems.
The tool could help enterprises gain future visibility into planned expansion of services across cloud regions, helping avoid costly replanning and deployment.
Even industry-leading cloud infrastructure cannot protect businesses from expensive, disruptive outages.
DynamoDB error rates in the US-EAST-1 region soared shortly after midnight Pacific Time, rippling through other AWS services and affecting many customers.
AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for expensive licensing and tools.
Getting certified in one or more leading AI development platforms won’t necessarily land you the job, but it could help you get noticed.
AWS Outposts, Microsoft Azure Arc, and Google Cloud Anthos each offers its own approach to managing hybrid and multicloud environments. Here’s how they compare on cost, security, and management.
A bug in AWS’ agentic IDE, Kiro, caused tasks to consume multiple requests, leading to the rapid exhaustion of usage limits and developer frustration just days after a pricing overhaul.
Developers can use Amazon Bedrock AgentCore services to build foundational infrastructure for deploying and operating AI agents at scale.