An Inside Look at What Powers Microsoft’s Internal Systems for AI R&D
For those who might expect Microsoft to favor its own Windows-centric platforms and tools to power comprehensive infrastructure for serving AI compute and software services for internal R&D groups, plan on being surprised.
While Microsoft does rely on some core windows features and certainly its Azure cloud services, much of its infrastructure is powered by a broad suite of open source tools. As Jim Jernigan, senior R&D systems engineer at Microsoft Research told us at the GPU Technology Conference (GTC18) this week, the highest volume of workloads running on the diverse research clusters Microsoft uses for AI development are running …
An Inside Look at What Powers Microsoft’s Internal Systems for AI R&D was written by Nicole Hemsoth at The Next Platform.
Amdocs' leadership position in ONAP seems to have given it an entrée with a major public cloud provider. And an Amdocs exec says open source is an environment where you cannot disconnect technical relationships from business.
Metaswitch’s routing and control plane protocols run as applications on top of AT&T’s disaggregated network operating system. That dNOS platform this week moved to the open source community as DANOS.
The disaggregation push of its service provider OS includes support for routers using off-the-shelf silicon, but device support is limited to “a curated set of third-party devices.”
