In the era of generative AI, accelerated networking is essential to build high-performance computing fabrics for massively distributed AI workloads. NVIDIA continues to lead in this space, offering state-of-the-art Ethernet and InfiniBand solutions that maximize the performance and efficiency of AI factories and cloud data centers. At the core of these solutions are NVIDIA SuperNICs��a new��
]]>In today��s rapidly evolving technological landscape, staying ahead of the curve is not just a goal��it��s a necessity. The surge of innovations, particularly in AI, is driving dramatic changes across the technology stack. One area witnessing profound transformation is Ethernet networking, a cornerstone of digital communication that has been foundational to enterprise and data center��
]]>As the demand for sophisticated AI capabilities escalates, VAST Data introduces the VAST Data Platform, now enhanced with NVIDIA BlueField DPUs. This innovation is tailored to meet the stringent demands of AI-driven data centers and optimize AI workloads and data management. This post presents how BlueField DPUs provide VAST with a significant boost in both performance and efficiency to��
]]>The NVIDIA DOCA acceleration framework empowers developers with extensive libraries, drivers, and APIs to create high-performance applications and services for NVIDIA BlueField DPUs and SuperNICs. DOCA 2.7 is a comprehensive, feature-rich release that further underpins the scope and value of the DOCA software framework. It offers several new libraries, turn-key applications��
]]>NVIDIA Spectrum-X is swiftly gaining traction as the leading networking platform tailored for AI in hyperscale cloud infrastructures. Spectrum-X networking technologies help enterprise customers accelerate generative AI workloads. NVIDIA announced significant OEM adoption of the platform in a November 2023 press release, along with an update on the NVIDIA Israel-1 Supercomputer powered by Spectrum��
]]>The NVIDIA DOCA 2.6 release includes support for NVIDIA Spectrum-X reference architecture with the NVIDIA BlueField-3 SuperNIC and enhances DOCA host-based networking (HBN).
]]>Accelerated networking combines CPUs, GPUs, DPUs (data processing units), or SuperNICs into an accelerated computing fabric specifically designed to optimize networking workloads. It uses specialized hardware to offload demanding tasks to enhance server capabilities. As AI and other new workloads continue to grow in complexity and scale, the need for accelerated networking becomes paramount.
]]>As a comprehensive software framework for data center infrastructure developers, NVIDIA DOCA has been adopted by leading AI, cloud, enterprise, and ISV innovators. The release of DOCA 2.5 marks its third anniversary. And, due to the stability and robustness of the code base combined with several networking and platform upgrades, DOCA 2.5 is the first NVIDIA BlueField-3 long-term support (LTS)��
]]>A SuperNIC is a type of network accelerator for AI cloud data centers that delivers robust and seamless connectivity between GPU servers.
]]>Large language models (LLMs) and AI applications such as ChatGPT and DALL-E have recently seen rapid growth. Thanks to GPUs, CPUs, DPUs, high-speed storage, and AI-optimized software innovations, AI is now widely accessible. You can even deploy AI in the cloud or on-premises. Yet AI applications can be very taxing on the network, and this growth is burdening CPU and GPU servers��
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