Technology giant Microsoft announces its launch of AI self-developed chips!

Edited by: Du YuAccording to Microsoft's official website, at the Microsoft Ignite Global Technology Conference held on Wednesday (November 15th) local time, Microsoft released its self-developed artificial intelligenceMicrosoft Azure MaiaAnd Intel CPU's competitor: Microsoft Azure Cobalt, a cloud native chip based on ARM architecture.Image source: Microsoft official websiteMicrosoft Azure MaiaAIUsed for cloud training and inference on AI workloads such as OpenAI models, Bing, GitHubCopilot, and ChatGPT

Edited by: Du Yu

According to Microsoft's official website, at the Microsoft Ignite Global Technology Conference held on Wednesday (November 15th) local time, Microsoft released its self-developed artificial intelligenceMicrosoft Azure MaiaAnd Intel CPU's competitor: Microsoft Azure Cobalt, a cloud native chip based on ARM architecture.

Image source: Microsoft official website

Microsoft Azure MaiaAIUsed for cloud training and inference on AI workloads such as OpenAI models, Bing, GitHubCopilot, and ChatGPT.

Microsoft Azure Cobalt is a cloud native chip based on the Arm architecture, optimized for performance, power, and cost-effectiveness for general workloads.

In addition, AzureBoost will also be officially commercialized. This system can migrate storage and network processes from host servers to dedicated hardware and software, thereby improving storage and network speed.

Image source: Visual China - VCG41N1256651755 (unrelated to image and text)

Microsoft stated that as a supplement to customized chips, we are expanding our partnership with chip suppliers to provide customers with infrastructure options.

Microsoft announced that it will add AMDMI300X Accelerated Virtual Machines (VMs) to Microsoft's Intelligent Cloud Azure. The NDMI300 virtual machines (VMs) will use AMD's latest GPU - AMDInstctMI300X, aimed at accelerating the processing of AI workloads to achieve high range AI model training and generative reasoning.

The new NCH100v5 virtual machine series open preview for NVIDIA H100TensorCoreGPU will improve the performance, reliability, and efficiency of large and medium-sized AI training and generative reasoning.Microsoft also announced plans for the NDH200v5 virtual machine series, which is an AI optimized virtual machine equipped with the upcoming Nvidia H200TensorCoreGPU.

Microsoft stated that it will continue to expand the selection and flexibility of generative AI models, providing developers with comprehensive and leading open model choices. Model as a Service is a new feature in the model catalog released by Microsoft at the Build Developer Conference, allowing professional developers to easily integrate MetaLlama2, the upcoming advanced models of Mistral, and the latest AI models such as G42Jais as API endpoints into their applications. They can also customize these models with their own data without worrying about GPU infrastructure settings and management, eliminating complexity.

With the release of the Azure AI Studio preview version, enterprises have a unified and trusted platform that can be centralized in one location, making it easier to explore, build, test, and deploy AI applications. With AzureAI Studio, you can use your own data to build and train your 'smart passenger', or use your data to build other basic and open models.

The VectorSearch feature of AzureAISearch has now been officially commercialized, and enterprises can provide high-precision experiences for each user in their generative AI applications.

The new GPT-3.5Turbo model (supporting 16K token prompt length) will be officially available for commercial use, and GPT-4Turbo will be publicly previewed in Azure OpenAI services by the end of November 2023. GPT-4Turbo will enable customers to extend the length of prompt words, bringing more control and efficiency to generative AI applications.

Image source: Visual China - VCG111418488090

At the Microsoft Ignite Global Technology Conference that day, Microsoft also announced the new features of Microsoft 365 Copilot.

Microsoft CopilotStudio: AI transformation begins by mining unique data and workflows within the enterprise. Microsoft Copilot Studio is a low code tool designed to customize Microsoft Copilot for Microsoft 365 by integrating critical business data and building custom Copilots for internal or external use within the enterprise. 6CopilotStudio can be used in conjunction with connectors, plugins, and GPTs, allowing IT teams to guide Copilot to the best data source for specific queries.

Microsoft Copilot for Service: The latest Copilot provides user role-based support to help businesses accelerate the AI transformation of customer service. Copilot for Service includes Microsoft Copilot for Microsoft 365, which can leverage generative AI to extend existing contact centers. In customer interaction, customer service personnel can use natural language to ask questions to CopilotforService and obtain relevant insights based on data sources from the knowledge base, thereby solving problems faster and more intelligently.

Copilot in Microsoft Dynamics 365 Guides: Combining generative AI and hybrid reality capabilities, this Copilot can help frontline personnel complete complex tasks and solve problems faster without affecting workflow. This Copilot, which does not require manual operation, will be the first to be used in HoloLens2, helping service industry professionals use natural language and human gestures to provide interactive guidance through content and holograms overlaid on the device.

Microsoft Copilot for Azure: This is an AI partner for IT personnel that can simplify daily IT management. It is not only a tool, but also provides a unified chat experience, able to understand users' roles and goals, and improve the ability to design, operate, and troubleshoot applications and infrastructure. Microsoft Copilot for Azure can help IT teams gain a deeper understanding of its usage, unleash new Azure capabilities, and coordinate tasks in the cloud and at the edge.

Microsoft's stock price hit a new historical high. As of the close of November 15th local time, Microsoft (MSFT) closed at $369.67, a decrease of 0.16%, with a market value of $2.7 trillion.

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