BEGIN:VCALENDAR PRODID:-//Microsoft Corporation//Outlook 16.0 MIMEDIR//EN VERSION:2.0 METHOD:PUBLISH X-MS-OLK-FORCEINSPECTOROPEN:TRUE BEGIN:VTIMEZONE TZID:Pacific Standard Time BEGIN:STANDARD DTSTART:16011104T020000 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 END:STANDARD BEGIN:DAYLIGHT DTSTART:16010311T020000 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT CLASS:PUBLIC CREATED:20210728T225733Z DESCRIPTION:Join Idan Burnstein\, Network Adapter and DPU Principal Archite ct at NVIDIA for this presentation at Hot Chips 33 on August 23rd at 2:30 pm PDT. Learn more below.\n \nModern data centers provide software define d infrastructure services for storage\, networking and security. Moreover\ , modern data centers are running distributed application that requires th e applications to deal with networking overhead. As software defined servi ces are running within the same CPU as the applications\, the security of these services can be jeopardized along with the performance of the applic ations due to the CPU pressure of the services. As more users and more dis tributed application are deployed in the data center\, each come with the associated CPU tax on infrastructure processing of storage\, networking an d security.\n \nNVIDIA Data Center Infrastructure Processing Unit (DPU) is a new architecture built to enable software defined infrastructure virtua lization & acceleration to offload the data center hypervisor. NVIDIA DPU isolates the data center infrastructure from the application domain runnin g on the CPUs or GPUs making this sensitive code independent on any applic ation. NVIDIA DPU accelerates and abstract the storage\, networking and se curity service to enable applications to get the most of the CPUs and GPUs .\n \nIn this presentation the fundamentals of NVIDIA DPU architecture wil l be presented along with the NVIDIA DOCA SDK programming mode\, the syste m use cases and the impacts of this architecture on next generation data c enters.\n DTEND;TZID="Pacific Standard Time":20210823T160000 DTSTAMP:20210728T225733Z DTSTART;TZID="Pacific Standard Time":20210823T143000 LAST-MODIFIED:20210728T225733Z LOCATION:Watch the presentation: www.nvidia.com/en-us/events/hot-chips-digi tal/ PRIORITY:5 SEQUENCE:0 SUMMARY;LANGUAGE=en-us:Hot Chips 33 - NVIDIA DPU Architecture TRANSP:OPAQUE UID:040000008200E00074C5B7101A82E00800000000B098B810C883D701000000000000000 010000000C20FDD4422347846A3ECBB995625E0D9 X-ALT-DESC;FMTTYPE=text/html:

Join Ida n Burnstein\, Network Adapter and DPU Principal Architect at NVIDIA \; for this presentation at Hot Chips 33 on August 23rd at 2:30 pm PDT. Learn more below.

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Modern data centers provide software defined infrastructure servic es for storage\, networking and security. Moreover\, modern data centers a re running distributed application that requires the applications to deal with networking overhead. As software defined services are running within the same CPU as the applications\, the security of these services can be j eopardized along with the performance of the applications due to the CPU p ressure of the services. As more users and more distributed application ar e deployed in the data center\, each come with the associated CPU tax on i nfrastructure processing of storage\, networking and security.< /span>

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NVIDIA Data Center Infrastructure Processin g Unit (DPU) is a new architecture built to enable software defined infras tructure virtualization &\; acceleration to offload the data center hyp ervisor. NVIDIA DPU isolates the data center infrastructure from the appli cation domain running on the CPUs or GPUs making this sensitive code indep endent on any application. NVIDIA DPU accelerates and abstract the storage \, networking and security service to enable applications to get the most of the CPUs and GPUs.

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In this pr esentation the fundamentals of NVIDIA DPU architecture will be presented a long with the NVIDIA DOCA SDK programming mode\, the system use cases and the impacts of this architecture on next generation data centers.

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