Cloud Computing
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Understanding the Windows Copilot Runtime
Microsoft is not simply making a big bet on AI in Windows, but betting that natural language and semantic computing are the future of Windows.
How CPUs will address the energy challenges of generative AI
Balancing performance, energy efficiency, and cost-effectiveness, CPUs adeptly handle the less-intensive inference tasks that make up the lion’s share of AI workloads.
Partitioning an LLM between cloud and edge
Using edge systems to run elements of generative AI could be game-changing. It requires planning and skill, but this hybrid approach may be the future.
The cloud repatriation tempest in a teacup
Leaving the cloud is not a matter of choosing between two clear-cut options. Few enterprises go completely data center or completely cloud.
EDB unveils EDB Postgres AI
EDB Postgres AI combines a PostgreSQL database, a data lakehouse, and other components to support transactional, analytic, and AI workloads.
Azure Copilot: An AI assistant for Azure ops and troubleshooting
Microsoft has added new skills to its LLM-powered Copilot in Azure and opened up access to everyone.
.NET Aspire cloud development stack launches
Microsoft's new cloud-ready stack for building distributed applications unites tools, templates, and NuGet packages and includes an App Host for orchestration within the app model.
Microsoft Fabric adds real-time intelligence, workload development kit
Fabric updates announced at Build 2024 also include Snowflake and Databricks integrations and the general availability of Copilot for Power BI.
Microsoft Azure AI gains new LLMs, governance features
At Build 2024 Microsoft also announced that the Azure AI Studio toolkit for building generative AI applications is generally available.
How to improve cloud-based generative AI performance
The problems can be hard to find but easy to solve. With a proactive approach and best practices, you can avoid unhappy users and a damaged business reputation.
12 principles for improving devsecops
SaaS organizations lead the pack when it comes to application reliability, scalability, security, and customer satisfaction. Here are 12 principles devsecops leaders can adopt from SaaS.
Is generative AI bringing back private clouds?
Many enterprises are dusting off the private cloud strategies that lost out to the allure of the public cloud. Is this the right move?
Designing and developing APIs with TypeSpec
Microsoft’s Concise API Design Language has a new name and a larger role to play in building REST, OpenAPI, gRPC, and other services.
Kora: A cloud-native redesign of the Apache Kafka engine
Five key innovations that increased the performance, availability, and cost-efficiency of the engine at the heart of Confluent’s managed Apache Kafka service.
Need GPUs? Take a look at microclouds
There’s definitely more uncertainty in going with a microcloud provider, but choosing a smaller company for your GPU services may pay off big in the end.
Grafana: Shining a light into Kubernetes clusters
Grafana creator Torkel Ödegaard traces the open-source project’s journey to help developers visualize what’s going on inside distributed cloud-native infrastructure.
Red Hat extends Lightspeed AI to Linux, OpenShift
Lightspeed will apply generative AI toward automating the operation of OpenShift clusters and Red Hat Enterprise Linux environments.
