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Witness how Windows-based AI workstations enhance the developer flow. From leveraging the NVIDIA Blackwell GPU for advanced training to utilizing AMD Ryzen AI Max PRO chips for high-efficiency inference on-the-go, Windows-based AI developer workstations deliver a powerful, and adaptable platform for all your AI needs.
To learn more, please check out these resources:
* https://aka.ms/build25/collection/WindowsAIFoundry
𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀:
* Parinita Rahi
* Paulo dos Santos Mendonca
𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻:
This is one of many sessions from the Microsoft Build 2025 event. View even more sessions on-demand and learn about Microsoft Build at https://build.microsoft.com
DEM574 | English (US) | Windows
Related Sessions:
BRK223 — https://build.microsoft.com/sessions/BRK223?wt.mc_id=yt_PLlrxD0HtieHg_i6-m–pwP3Xf4vpz2h8b
BRK224 — https://build.microsoft.com/sessions/BRK224?wt.mc_id=yt_PLlrxD0HtieHg_i6-m–pwP3Xf4vpz2h8b
BRK225 — https://build.microsoft.com/sessions/BRK225?wt.mc_id=yt_PLlrxD0HtieHg_i6-m–pwP3Xf4vpz2h8b
DEM573 — https://build.microsoft.com/sessions/DEM573?wt.mc_id=yt_PLlrxD0HtieHg_i6-m–pwP3Xf4vpz2h8b
LAB372 — https://build.microsoft.com/sessions/LAB372?wt.mc_id=yt_PLlrxD0HtieHg_i6-m–pwP3Xf4vpz2h8b
#MSBuild, #Windows
Chapters:
0:00 – Introduction of Windows AI Foundry
00:01:44 – Introduction of the Speakers: Parineeta Rahi and Paulo
00:03:12 – Introduction to Back Propagation and Gradient Computation
00:03:36 – Handling Error Messages and Data Caching without Internet
00:05:01 – Metaphorical Comparison of Data Volume to Physical Books
00:06:24 – Utilization of 128GB CPU Memory
00:07:41 – Demonstration of Fine Tuning with Model Parameters
00:07:58 – Comparison of Job Completion Time: Server vs Local
00:09:07 – Introduction to Visual Studio and AI Toolkit Read More Microsoft Developer
