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Developers need to master cloud-native strategies, such as microservices, containers, and orchestration, to unlock AI’s full business potential.
Microsoft’s latest database is a fast, scalable PostgreSQL for cloud-native and AI developers.
As the big cloud providers prioritize artificial intelligence, they risk leaving traditional cloud technologies—and cloud customers—in the dust.
Where Microsoft promises enterprises better understanding of their data for workers and autonomous agents alike, analysts fear deployment hurdles and vendor lock-in.
Learn to build a Splunk and Kafka platform that can provide the performance and resource utilization your organization needs to meet the demands of today’s data-intensive workloads.
For most enterprises, high-end GPUs are not as essential as the providers want you to think. Old GPUs or CPUs often deliver sufficient cloud AI performance at drastically reduced costs.
Distributed app platform also introduces the 'aspire do' command for parallelized builds and deployments and an Aspire MCP server for AI devops.
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.
Microsoft is working with Anyscale to help you build, train, and run your own ML models with PyTorch on AKS.
The latest release of the Kubernetes-based cloud application platform aims to streamline complex AI workloads, with additional improvements for security and virtualization.