@msftdevblogs Not yet for EU (or Germany specifically) :) I deployed 4.1 models yesterday to test them as a 4o replacement - looking good so far … very curious how 5.2 models will perform in comparison when they are available for the EU region 🙂

For more information check: https://azure.microsoft.com/en-us/blog/actioning-agentic-ai-5-ways-to-build-with-news-from-microsoft-ignite-2025/.

Energy at Microsoft Ignite was electric: 20,000+ onsite and 200,000 online exploring the future of cloud and AI.

Top takeaways: Claude in Microsoft Foundry for model choice; Foundry/Fabric IQ for semantic knowledge; Azure HorizonDB for PostgreSQL + built-in vectors; Azure Copilot agents for cloud ops; new Azure hardware (Cobalt, Boost DPU).

Attend Microsoft AI Dev Days (Dec 10–11, 2025) and join the technical community.

#Azure #MicrosoftIgnite #AI #DevTools #Cloud

For more information check: https://azure.microsoft.com/en-us/blog/azure-storage-innovations-unlocking-the-future-of-data/.

Azure Storage is redefining the public cloud for AI, cloud‑native apps, and mission‑critical workloads: exabyte-scale Blob Storage powering training and inference; Azure Managed Lustre for petabyte throughput; Premium Blob and LangChain loader for fast RAG; Elastic SAN and Smart Tier for cloud-native agility; Ultra Disk & Azure NetApp Files for low‑latency performance; Data Box, Storage Mover and Migration Program to simplify cloud migration.

#Cloud #AI #Azure #Storage

For more information check: https://azure.microsoft.com/en-us/blog/introducing-gpt-5-2-in-microsoft-foundry-the-new-standard-for-enterprise-ai/.

The age of AI small talk is over.

OpenAI’s GPT-5.2 is now generally available in Microsoft Foundry—purpose-built for enterprise developers and technical leaders.

Deeper logical chains, richer context, and agentic execution produce structured, auditable outputs (design docs, runnable code, tests, deploy scripts) with fewer iterations.

Optimized for governance, tool use, and long-running workflows.

Explore GPT-5.2 in Foundry.

#EnterpriseAI #GPT5 #Microsoft #Foundry #Tech

For more information check: https://partner.microsoft.com/en-us/blog/article/azure-updates-december-2025.

Microsoft Ignite 2025 spotlighted the era of Frontier transformation: embedding AI across the business to improve decisions, speed, and value.

Partners can lead with Azure: Azure Copilot (private preview), Foundry Control Plane & IQ, Fabric IQ, Agent Factory, Anthropic Claude in Foundry, Agent 365, HorizonDB, and resale-enabled offers to scale with governance and new revenue.

#Azure #AI #Partners #Cloud

For more information check: https://azure.microsoft.com/en-us/blog/microsoft-named-a-leader-in-gartner-magic-quadrant-for-ai-application-development-platforms/.

Microsoft recognized as a Leader in the 2025 Gartner Magic Quadrant for AI Application Development Platforms, positioned furthest for Completeness of Vision.

Microsoft Foundry unifies agent frameworks, data grounding (Foundry IQ), 1,400+ connectors, multi-agent orchestration, observability/governance, and cloud-to-edge model ops—enabling production-grade, agentic AI at scale.

#AI #EnterpriseAI #ML #AskFedi

For more information check: https://azure.microsoft.com/en-us/blog/microsofts-strategic-ai-datacenter-planning-enables-seamless-large-scale-nvidia-rubin-deployments/.

CES 2026 spotlights NVIDIA Vera Rubin landing on Azure’s AI platform.

Years of co‑design and Fairwater upgrades mean Azure already supports Rubin’s power, cooling, NVLink‑6, HBM4/HBM4e, SOCAMM2 memory expansion and 1.6 Tb/s ConnectX‑9 networking — enabling ~50 PF NVFP4 per chip and ~3.6 EF per rack.

Integrated compute, storage, networking, orchestration and cooling enable faster deployment and scale for customers.

#AI #Azure #NVIDIA #Rubin #DataCenter

essential for industries like healthcare and finance.

Additionally, Vector Search offers powerful querying directly through the provider.

Explore these capabilities today with our quickstart guide! #MongoDB #EFCore #QueryableEncryption #VectorSearch #Tech

For more information check: https://devblogs.microsoft.com/dotnet/mongodb-efcore-provider-queryable-encryption-vector-search/.

The MongoDB Entity Framework Core provider has been available since May 2024 and has received enthusiastic adoption from the .NET developer community.

This provider empowers developers to integrate MongoDB into .NET projects seamlessly, utilizing EF Core features while benefiting from MongoDB's flexibility.

New major features like Queryable Encryption enhance data privacy and compliance without sacrificing query capabilities,

Azure’s architecture is already optimized for this transition, offering benefits like rapid deployment, enhanced scalability, and efficient resource utilization.

This collaboration positions Azure as a leader in the future of accelerated AI computing.

#AI #NVIDIA #Azure #TechInnovation

For more information check: https://azure.microsoft.com/en-us/blog/microsofts-strategic-ai-datacenter-planning-enables-seamless-large-scale-nvidia-rubin-deployments/.

CES 2026 heralds the NVIDIA Rubin platform's arrival, seamlessly integrated into Azure’s advanced AI infrastructure.

Microsoft’s strategic foresight has ensured that its datacenter design accommodates NVIDIA’s requirements long before their deployment.

Azure has proven it can enhance AI infrastructure flexibly, as demonstrated with previous generations of NVIDIA GPUs.

With Rubin Superchips expected to deliver unprecedented performance,

developers can create seamless voice experiences tailored to their applications.

#VoiceIntegration #Azure #Tech

For more information check: https://devblogs.microsoft.com/ise/azure-speech-to-text-optimization/.

Optimizing Speech-to-Text (STT) and Text-to-Speech (TTS) is essential for enhancing user experience in voice-enabled applications.

This includes improving STT accuracy with phrase lists and N-best analysis while refining TTS pronunciation using custom lexicons.

The Azure platform offers diverse models for both STT and TTS, ensuring multi-language support and customizable keyword recognition.

By effectively leveraging these tools,

and an orchestrator for coherent responses.

By implementing these strategies, a scalable, efficient system is achieved, ready to improve user experiences.

#AI #MachineLearning #Tech #CustomerExperience

For more information check: https://devblogs.microsoft.com/ise/multi-agent-systems-at-scale/.