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<div><div data-sp-canvascontrol="" data-sp-canvasdataversion="1.0" data-sp-controldata="&#123;&quot;position&quot;&#58;&#123;&quot;layoutIndex&quot;&#58;1,&quot;zoneIndex&quot;&#58;1,&quot;sectionIndex&quot;&#58;1,&quot;sectionFactor&quot;&#58;12,&quot;controlIndex&quot;&#58;0&#125;,&quot;controlType&quot;&#58;3,&quot;id&quot;&#58;&quot;6c7e4e54-f85b-480a-a6e1-c557b7c3e97f&quot;,&quot;webPartId&quot;&#58;&quot;d1d91016-032f-456d-98a4-721247c305e8&quot;,&quot;rteInstanceId&quot;&#58;&quot;c11fb719-5c37-445a-a48b-0702e5c9b058&quot;,&quot;addedFromPersistedData&quot;&#58;true,&quot;reservedHeight&quot;&#58;667,&quot;reservedWidth&quot;&#58;1178&#125;"><div data-sp-webpart="" data-sp-webpartdataversion="1.11" data-sp-webpartdata="&#123;&quot;id&quot;&#58;&quot;d1d91016-032f-456d-98a4-721247c305e8&quot;,&quot;instanceId&quot;&#58;&quot;6c7e4e54-f85b-480a-a6e1-c557b7c3e97f&quot;,&quot;title&quot;&#58;&quot;Image&quot;,&quot;description&quot;&#58;&quot;Add an image, picture or photo to your page including text overlays and ability to crop and resize images.&quot;,&quot;audiences&quot;&#58;[],&quot;serverProcessedContent&quot;&#58;&#123;&quot;htmlStrings&quot;&#58;&#123;&#125;,&quot;searchablePlainTexts&quot;&#58;&#123;&#125;,&quot;imageSources&quot;&#58;&#123;&quot;imageSource&quot;&#58;&quot;/sites/M365-CDN/SiteAssets/SitePages/Content-19382/3788914975-ComputerChip.jpg&quot;&#125;,&quot;links&quot;&#58;&#123;&#125;,&quot;customMetadata&quot;&#58;&#123;&quot;imageSource&quot;&#58;&#123;&quot;siteId&quot;&#58;&quot;40ef054e-5ec7-4552-ac92-09bbd4faa5e1&quot;,&quot;webId&quot;&#58;&quot;35f81bac-1b1d-4f8c-a038-0302a1a6ae55&quot;,&quot;listId&quot;&#58;&quot;870ffa3e-eb32-4905-82ab-9e57adb99968&quot;,&quot;uniqueId&quot;&#58;&quot;f5ece47b-3970-48a8-8eca-50b3d7427ac2&quot;,&quot;width&quot;&#58;2048,&quot;height&quot;&#58;1115&#125;&#125;&#125;,&quot;dataVersion&quot;&#58;&quot;1.11&quot;,&quot;properties&quot;&#58;&#123;&quot;id&quot;&#58;&quot;1710b3b4-6448-446d-8989-195d0609e106&quot;,&quot;linkUrl&quot;&#58;&quot;&quot;,&quot;isInlineImage&quot;&#58;true,&quot;siteId&quot;&#58;&quot;40ef054e-5ec7-4552-ac92-09bbd4faa5e1&quot;,&quot;webId&quot;&#58;&quot;35f81bac-1b1d-4f8c-a038-0302a1a6ae55&quot;,&quot;listId&quot;&#58;&quot;870ffa3e-eb32-4905-82ab-9e57adb99968&quot;,&quot;uniqueId&quot;&#58;&quot;f5ece47b-3970-48a8-8eca-50b3d7427ac2&quot;,&quot;imgHeight&quot;&#58;1115,&quot;imgWidth&quot;&#58;2048,&quot;imageSourceType&quot;&#58;2,&quot;alignment&quot;&#58;&quot;Center&quot;,&quot;fileName&quot;&#58;&quot;ComputerChip.jpg&quot;,&quot;fixAspectRatio&quot;&#58;false,&quot;overlayText&quot;&#58;&quot;&quot;,&quot;altText&quot;&#58;&quot;&quot;&#125;,&quot;containsDynamicDataSource&quot;&#58;false&#125;"><div data-sp-componentid="d1d91016-032f-456d-98a4-721247c305e8"></div><div data-sp-htmlproperties=""><img data-sp-prop-name="imageSource" src="/sites/M365-CDN/SiteAssets/SitePages/Content-19382/3788914975-ComputerChip.jpg" data-sp-cust-siteId="40ef054e-5ec7-4552-ac92-09bbd4faa5e1" data-sp-cust-webId="35f81bac-1b1d-4f8c-a038-0302a1a6ae55" data-sp-cust-listId="870ffa3e-eb32-4905-82ab-9e57adb99968" data-sp-cust-uniqueId="f5ece47b-3970-48a8-8eca-50b3d7427ac2" data-sp-cust-width="2048" data-sp-cust-height="1115" /></div></div></div><div data-sp-canvascontrol="" data-sp-canvasdataversion="1.0" data-sp-controldata="&#123;&quot;controlType&quot;&#58;4,&quot;id&quot;&#58;&quot;c11fb719-5c37-445a-a48b-0702e5c9b058&quot;,&quot;position&quot;&#58;&#123;&quot;layoutIndex&quot;&#58;1,&quot;zoneIndex&quot;&#58;1,&quot;sectionIndex&quot;&#58;1,&quot;sectionFactor&quot;&#58;12,&quot;controlIndex&quot;&#58;1&#125;,&quot;addedFromPersistedData&quot;&#58;true&#125;"><div data-sp-rte=""><p>Microsoft is reportedly developing its own AI chips to train large language models instead of relying on Nvidia, the current key supplier of AI server chips. The chips have been in development since 2019 and are being tested by some Microsoft and OpenAI employees. While Microsoft’s chips won’t replace Nvidia’s, the in-house efforts could significantly reduce costs as the company rolls out AI-powered features in Bing, Office apps, GitHub, and elsewhere.&#160;</p><p>The company is reportedly planning to make its AI chips available more broadly inside Microsoft and OpenAI as early as next year. Microsoft has also been working on its own ARM-based chips for several years. Other tech giants like Amazon, Google, and Meta have their own in-house chips for AI, but many companies still rely on Nvidia chips to power the latest large language models.<br></p><div tabindex="0" data-cke-widget-wrapper="1" data-cke-filter="off" class="cke_widget_wrapper cke_widget_block cke_widget_inlineimage cke_widget_wrapper_webPartInRteInlineImage cke_widget_wrapper_webPartInRteClear cke_widget_wrapper_webPartInRteAlignCenter cke_widget_wrapper_webPartInRte" data-cke-display-name="div" data-cke-widget-id="0" role="region" aria-label="Inline image in RTE. Use Alt + F11 to go to toolbar. Use Alt + P to open the property pane."><div data-webpart-id="image" class="webPartInRte webPartInRteAlignCenter webPartInRteClear webPartInRteInlineImage cke_widget_element" data-cke-widget-data="%7B%22classes%22%3A%7B%22webPartInRteInlineImage%22%3A1%2C%22webPartInRteClear%22%3A1%2C%22webPartInRteAlignCenter%22%3A1%2C%22webPartInRte%22%3A1%7D%7D" data-cke-widget-upcasted="1" data-cke-widget-keep-attr="0" data-widget="inlineimage" data-instance-id="6c7e4e54-f85b-480a-a6e1-c557b7c3e97f" title=""></div></div><p><a data-cke-saved-href="https&#58;//www.theverge.com/2023/4/18/23687912/microsoft-athena-ai-chips-nvidia" href="https&#58;//www.theverge.com/2023/4/18/23687912/microsoft-athena-ai-chips-nvidia">https&#58;//www.theverge.com/2023/4/18/23687912/microsoft-athena-ai-chips-nvidia</a><br></p><p><a data-cke-saved-href="https&#58;//www.theinformation.com/articles/microsoft-readies-ai-chip-as-machine-learning-costs-surge" href="https&#58;//www.theinformation.com/articles/microsoft-readies-ai-chip-as-machine-learning-costs-surge">Microsoft Readies AI Chip as Machine Learning Costs Surge — The Information</a><a data-cke-saved-href="https&#58;//www.hubsite365.com/en-ww/crm-pages/microsoft-working-on-its-own-ai-chips-vs-nvidias.htm" href="https&#58;//www.hubsite365.com/en-ww/crm-pages/microsoft-working-on-its-own-ai-chips-vs-nvidias.htm"></a><br></p><p><a data-cke-saved-href="https&#58;//www.trendforce.com/presscenter/news/20230301-11584.html" href="https&#58;//www.trendforce.com/presscenter/news/20230301-11584.html">Press Center | TrendForce - Market research, price trend of DRAM, NAND Flash, LEDs, TFT-LCD and green energy, PV</a></p><p><a data-cke-saved-href="https&#58;//www.cnbc.com/2023/04/14/nvidias-h100-ai-chips-selling-for-more-than-40000-on-ebay.html" href="https&#58;//www.cnbc.com/2023/04/14/nvidias-h100-ai-chips-selling-for-more-than-40000-on-ebay.html">Nvidia’s H100 A.I. chips selling for more than $40,000 on eBay</a>​​​​​​​<br></p><p><b>NVIDIA is a leading manufacturer</b></p><p>NVIDIA is a leading manufacturer of AI chips, including graphics processing units (GPUs) and tensor processing units (TPUs), which are designed specifically for deep learning and artificial intelligence workloads.</p><p>Here are some key facts about NVIDIA’s AI chips&#58;</p><p><br></p><ol><li>GPUs&#58; NVIDIA’s GPUs are widely used in AI applications because they can perform large-scale parallel processing and are particularly effective for deep learning. The company’s latest GPUs, the NVIDIA A100 and the NVIDIA RTX 30 series, are designed specifically for AI workloads and offer significant performance improvements over previous models.</li><li>TPUs&#58; NVIDIA’s tensor processing units (TPUs) are specialized chips designed specifically for deep learning workloads. TPUs offer faster processing times and better power efficiency than traditional CPUs and GPUs, making them a popular choice for high-performance computing in AI applications.</li><li>AI software&#58; NVIDIA also provides a range of AI software tools, including CUDA, cuDNN, and TensorRT, that are optimized for use with its GPUs and TPUs. These tools help developers and researchers to accelerate their AI workloads and achieve better performance.</li><li>Applications&#58; NVIDIA’s AI chips are used in a wide range of applications, including natural language processing, image and video recognition, autonomous vehicles, and robotics. The company also offers pre-trained AI models that can be customized for specific use cases.</li></ol><p>Overall, NVIDIA’s AI chips are widely regarded as some of the best in the industry and are a popular choice for researchers and developers working on deep learning and AI applications.</p></div></div><div data-sp-canvascontrol="" data-sp-canvasdataversion="1.0" data-sp-controldata="&#123;&quot;position&quot;&#58;&#123;&quot;layoutIndex&quot;&#58;1,&quot;zoneIndex&quot;&#58;1,&quot;sectionIndex&quot;&#58;1,&quot;sectionFactor&quot;&#58;12,&quot;controlIndex&quot;&#58;2&#125;,&quot;controlType&quot;&#58;3,&quot;id&quot;&#58;&quot;2e9e74f7-fc4d-42b9-a0db-5b79b62f3a0a&quot;,&quot;webPartId&quot;&#58;&quot;6410b3b6-d440-4663-8744-378976dc041e&quot;,&quot;addedFromPersistedData&quot;&#58;true,&quot;reservedHeight&quot;&#58;0,&quot;reservedWidth&quot;&#58;1188&#125;"><div data-sp-webpart="" data-sp-webpartdataversion="1.0" data-sp-webpartdata="&#123;&quot;id&quot;&#58;&quot;6410b3b6-d440-4663-8744-378976dc041e&quot;,&quot;instanceId&quot;&#58;&quot;2e9e74f7-fc4d-42b9-a0db-5b79b62f3a0a&quot;,&quot;title&quot;&#58;&quot;Link&quot;,&quot;description&quot;&#58;&quot;Add a link with a rich preview such as an image or text brought in from the linked video or web content.&quot;,&quot;audiences&quot;&#58;[],&quot;serverProcessedContent&quot;&#58;&#123;&quot;htmlStrings&quot;&#58;&#123;&#125;,&quot;searchablePlainTexts&quot;&#58;&#123;&#125;,&quot;imageSources&quot;&#58;&#123;&#125;,&quot;links&quot;&#58;&#123;&quot;url&quot;&#58;&quot;https&#58;//www.theverge.com/2023/4/18/23687912/microsoft-athena-ai-chips-nvidia&quot;&#125;&#125;,&quot;dataVersion&quot;&#58;&quot;1.0&quot;,&quot;properties&quot;&#58;&#123;&quot;id&quot;&#58;&quot;e48443a8-e8d5-48e9-8cf7-162e41ff0cae&quot;,&quot;linkPreviewComponentMode&quot;&#58;2,&quot;imageURL&quot;&#58;&quot;&quot;,&quot;cachedMetaDataUpdateTimeStamp&quot;&#58;1681837278189,&quot;title&quot;&#58;&quot;&quot;,&quot;description&quot;&#58;&quot;&quot;,&quot;listId&quot;&#58;&quot;&quot;,&quot;webId&quot;&#58;&quot;&quot;,&quot;uniqueId&quot;&#58;&quot;&quot;,&quot;siteId&quot;&#58;&quot;&quot;&#125;,&quot;containsDynamicDataSource&quot;&#58;false&#125;"><div data-sp-componentid="6410b3b6-d440-4663-8744-378976dc041e"></div><div data-sp-htmlproperties=""><a data-sp-prop-name="url" href="https&#58;//www.theverge.com/2023/4/18/23687912/microsoft-athena-ai-chips-nvidia"></a></div></div></div><div data-sp-canvascontrol="" data-sp-canvasdataversion="1.0" data-sp-controldata="&#123;&quot;controlType&quot;&#58;0,&quot;pageSettingsSlice&quot;&#58;&#123;&quot;isDefaultDescription&quot;&#58;true,&quot;isDefaultThumbnail&quot;&#58;true,&quot;globalRichTextStylingVersion&quot;&#58;0,&quot;rtePageSettings&quot;&#58;&#123;&quot;contentVersion&quot;&#58;4&#125;,&quot;isEmailReady&quot;&#58;false&#125;&#125;"></div></div>

Microsoft working on its own AI chips vs Nvidia’s

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Microsoft working on its own AI chips vs Nvidia’s

Microsoft has previously collaborated on bespoke CPUs with Qualcomm and AMD.