
Limitless innovation. ☁️ Follow along for the latest news and resources from the official #MicrosoftAzure team. For help, contact @AzureSupport.
Redmond, WA
Joined October 2008
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Microsoft Azure retweeted
Our team spent 10 years teaching machines to read documents.
LLMs improved language understanding, but reliable document extraction still depends on the system around the model.
Here’s what we learned building Azure Content Understanding 🧵
Microsoft Azure retweeted
Introducing 3 new models: MAI-Transcribe-2-Streaming, MAI-Voice-2.1 and MAI-Voice-2.1-Flash.
Accurate streaming transcription. Natural speech and less waiting between turns.
Build voice agents that keep the conversation moving!
Microsoft Azure retweeted
The Microsoft Ignite Session Catalog is live.
Explore the catalog and build your #MSIgnite agenda.
See what’s next in AI and cloud, go deeper with the experts shaping the technology, and discover practical guidance you can put into action: msft.it/6017agYcV
Microsoft Azure retweeted
Our new image model generates images 2x faster than GPT-Image-2, currently the best model in the world.
It's also 72% more efficient in GPU usage, so we can provide it at an incredible price.
This gives it the best price-performance score in the world.
Unbelievable work from the team. So much more to come! Try MAI-Image-2.6-Flash out now!
Microsoft Azure retweeted
Fastest. Cheapest. Best. ... MAI-Transcribe-2
10x faster than GPT-Transcribe. 5x faster than Gemini 3.5
#1 on the Artificial Analysis accuracy-latency Pareto frontier
Priced at the lowest on the market.
Truly fantastic work from the team! Try it out below.
Microsoft Azure retweeted
OpenClaw went from a weekend project to one of @github's fastest-growing open source projects.
Six months in, @steipete and several maintainers share what they learned about scaling contributions, trust, code review, and security.
youtu.be/5VSwaUXtPIE?si=PP1N…
Microsoft Azure retweeted

Microsoft Reactor@MSFTReactorAug 13
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🚀 Build modern, AI-ready apps on Azure with the Build Cloud-Native Apps Reactor Series.
Learn how to design, build & operate cloud-native applications using: ✅ Azure Container Apps ✅ AKS ✅ App Service ✅ API Management
Move from idea to production with confidence.
🔗 Register: msft.it/6014aDdYw
#Azure #CloudNative #AI #AKS #Developers #MicrosoftReactor
Microsoft Azure retweeted
Our first reasoning model, MAI-Thinking-1, is built from scratch. Now available in Microsoft Foundry. Kudos to the team! More below.
Microsoft Azure retweeted
As @satyanadella says, we're making great progress on shipping MAI models that are higher quality, faster and cheaper across MSFT.
In PowerPoint, our image model cut costs 84% compared with GPT-Image-2.
In OneDrive, it lifted save rates 26% and cut latency by ~25%. It's also the default model in Bing delivering great quality and performance.
In Dragon Copilot, our transcription model now covers 58 languages and halves the error rate on multilingual clinical transcription.
And of course the flights we have in motion on GitHub and Excel will no doubt be huge too!
More details in the blog here: microsoft.ai/news/introducin…
Microsoft Azure retweeted
Today, @MistralAI and @Microsoft are expanding our partnership to bring Mistral’s frontier models across Azure, Microsoft Foundry, Copilot Studio, and Azure Local.
Europe should have access to the world’s most capable AI without compromising control over their data, operations, or digital future. By bringing Mistral’s frontier European models into our environment, we are providing customers with a trusted foundation for AI, one that offers both leading-edge innovation and the freedom to operate on their own terms.
Learn more: news.microsoft.com/source/20…
Microsoft Azure retweeted
More AI workloads. More infrastructure choice. Microsoft and @AMD are bringing new AI and HPC innovations to Azure, helping customers optimize performance, cost and efficiency across a wide range of AI workloads. msft.it/6011v4efT
Microsoft Azure retweeted
GLM 5.2, open frontier-scale intelligence on Microsoft Foundry with AMD MI300X.
Running a Codex goal with an open model never felt this good!
Microsoft Azure retweeted
Meet the Majorana 2, a next-generation topological quantum chip developed with the help of Microsoft Discovery’s agentic AI.
Microsoft Azure retweeted

Microsoft@MicrosoftJun 9
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The race is just the part you see. Behind it, 2,000 people at @MercedesAMGF1 turn thousands of simulations into one car across the line — powered by Microsoft. msft.it/6000v5CC0
Microsoft Azure retweeted

Microsoft@MicrosoftJun 2
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Microsoft Azure retweeted
1 day until #MicrosoftBuild
Microsoft Build Live launches tomorrow at 9:30 a.m. PT with the keynote livestream, real-time updates, and developer context as the news unfolds.
Microsoft Azure retweeted
Great example of what Foundry enables: durable, stateful agents that run across time boundaries, orchestrate tools and models, and close the loop with evaluation and improvement over long-running workflows. @jeffhollan
Microsoft Azure retweeted
Excited to announce the new preview for Microsoft Foundry Agents 🎉! You can now build, run, and deploy your agent using any model, any framework, any harness in the cloud 🧑💻 - check out the demo below
This is not just any cloud compute environment; it's an agent-optimized platform with:
🖥️ Persistent microVMs - securely scale up and down without losing context
🛠️ Built-in tools (1000+)
👀 Observability and evaluations
👷 Guardrails
🔐 Private networking... and more
Microsoft Azure retweeted
Every agent will need its own computer. And with new Hosted agents in Foundry, every agent gets its own dedicated enterprise-grade sandbox, with durable state, built-in identity and governance, and support for any harness or framework.
Read more:
devblogs.microsoft.com/found…
Microsoft Azure retweeted
“The future of AI infrastructure isn’t one chip.”
Andrew Wall, GM of @Azure Maia @MicrosoftAI:
“As the biggest customers start building their own hardware, it creates more optionality across the ecosystem.”
“And more optionality is a net positive.”
“At Microsoft, we’re not replacing GPUs — we’re adding Maia alongside them.”
“The goal is diversity of supply, so customers can run the best workloads on the right hardware.”















