SDN – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-07-26T02:39:18Z http://www.open-lab.net/blog/feed/ Tal Roll <![CDATA[Accelerating Cloud Networking the Right Way]]> http://www.open-lab.net/blog/?p=44492 2024-01-18T22:38:02Z 2022-02-25T01:33:07Z The NVIDIA BlueField-2 data processing unit (DPU) delivers unmatched software-defined networking (SDN) performance, programmability, and scalability. It...]]> The NVIDIA BlueField-2 data processing unit (DPU) delivers unmatched software-defined networking (SDN) performance, programmability, and scalability. It...

The NVIDIA BlueField-2 data processing unit (DPU) delivers unmatched software-defined networking (SDN) performance, programmability, and scalability. It integrates eight Arm CPU cores, the secure and advanced ConnectX-6 Dx cloud network interface, and hardware accelerators that together offload, accelerate, and isolate SDN functions, performing connection tracking, flow matching��

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John F. Kim <![CDATA[Accelerating Solution Development with DOCA on NVIDIA BlueField DPUs]]> http://www.open-lab.net/blog/?p=29855 2023-03-22T01:11:57Z 2021-04-12T19:13:00Z DOCA is a software framework for developing applications on BlueField DPUs. By using DOCA, you can offload infrastructure workloads from the host CPU and...]]> DOCA is a software framework for developing applications on BlueField DPUs. By using DOCA, you can offload infrastructure workloads from the host CPU and...

DOCA is a software framework for developing applications on BlueField DPUs. By using DOCA, you can offload infrastructure workloads from the host CPU and accelerate them with the BlueField DPU. This enables an infrastructure that is software-defined yet hardware accelerated, maximizing both performance and flexibility in the data center. NVIDIA first introduced DOCA in October 2020.

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Ash Bhalgat https://www.linkedin.com/in/ashbhalgat/ <![CDATA[Building the Smart Cloud Using the Best SmartNICs and DPUs, Part 2]]> http://www.open-lab.net/blog/?p=23409 2022-08-21T23:41:00Z 2021-01-22T22:34:53Z This post was originally published on the Mellanox blog. In part one, I said that the smart devices around us are changing our lives in remarkable ways....]]> This post was originally published on the Mellanox blog. In part one, I said that the smart devices around us are changing our lives in remarkable ways....

This post was originally published on the Mellanox blog. In part one, I said that the smart devices around us are changing our lives in remarkable ways. However, the infrastructure to support these smart innovations hasn��t fully evolved in terms of flexibility, performance, and efficiency. A software-defined world offers flexibility but at the cost of performance and efficiency.

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Ash Bhalgat https://www.linkedin.com/in/ashbhalgat/ <![CDATA[Building the Smart Cloud Using the Best SmartNICs and DPUs, Part 1]]> http://www.open-lab.net/blog/?p=23399 2022-08-21T23:41:00Z 2021-01-22T22:33:52Z This post was originally published on the Mellanox blog. Amazon recently announced that Alexa, the smart personal voice assistant is expanding from a small...]]> This post was originally published on the Mellanox blog. Amazon recently announced that Alexa, the smart personal voice assistant is expanding from a small...

This post was originally published on the Mellanox blog. Amazon recently announced that Alexa, the smart personal voice assistant is expanding from a small desktop gadget and getting into the fabric of our life. Anything and everything can get an Alexa boost, including your microwave, home security, car infotainment, and even your wall clock. Soon, smart devices are going to get even smarter.

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Ash Bhalgat https://www.linkedin.com/in/ashbhalgat/ <![CDATA[Scaling Out the Deep Learning Cloud Efficiently]]> http://www.open-lab.net/blog/?p=23392 2022-08-21T23:40:59Z 2021-01-22T22:30:59Z The Duchess of Windsor famously said that you can never be too rich or too thin. A similar observation is true when trying to match deep learning applications...]]> The Duchess of Windsor famously said that you can never be too rich or too thin. A similar observation is true when trying to match deep learning applications...

The Duchess of Windsor famously said that you can never be too rich or too thin. A similar observation is true when trying to match deep learning applications and compute resources: You can never have too much horsepower. Intractable problems in fields as diverse as finance, security, medical research, resource exploration, self-driving vehicles, and defense are being solved today by training��

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Ariel Kit <![CDATA[Programming the Entire Data Center Infrastructure with the NVIDIA DOCA SDK]]> http://www.open-lab.net/blog/?p=21457 2023-03-22T01:09:05Z 2020-10-05T13:00:00Z Today, in his NVIDIA GTC Fall keynote, CEO Jensen Huang introduced a new kind of processor, the BlueField-2 data processing unit (DPU), a powerful new software...]]> Today, in his NVIDIA GTC Fall keynote, CEO Jensen Huang introduced a new kind of processor, the BlueField-2 data processing unit (DPU), a powerful new software...

Today, in his NVIDIA GTC Fall keynote, CEO Jensen Huang introduced a new kind of processor, the BlueField-2 data processing unit (DPU), a powerful new software development kit for the DPU, DOCA, along with a three year roadmap of DPU and AI innovation. The NVIDIA BlueField-2 DPU is the world��s first data center infrastructure on a chip architecture optimized for modern enterprise data centers.

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Chaitrali Joshi <![CDATA[Building an Accelerated 5G CloudRAN at the Edge]]> http://www.open-lab.net/blog/?p=17613 2023-10-23T17:23:30Z 2020-05-14T13:00:00Z Fifth-generation networks (5G) are ushering in a new era in wireless communications that delivers 1000X the bandwidth and 100X the speed at 1/10th the latency...]]> Fifth-generation networks (5G) are ushering in a new era in wireless communications that delivers 1000X the bandwidth and 100X the speed at 1/10th the latency...

Fifth-generation networks (5G) are ushering in a new era in wireless communications that delivers 1000X the bandwidth and 100X the speed at 1/10th the latency of 4G. 5G also allows for millions of connected devices per square km and is being deployed as an alternative to WiFi at edge locations like factories and retail stores. These applications demand a new network architecture that is fully��

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