Advanced infrastructure computing platform for powering the world’s data centers.
The NVIDIA® BlueField® networking platform ignites unprecedented innovation for modern data centers and supercomputing clusters. With its robust compute power and integrated software-defined hardware accelerators for networking, storage, and security, BlueField creates a secure and accelerated infrastructure for any workload in any environment, ushering in a new era of accelerated computing and AI.
Unlock data center innovation by enabling the rapid creation of applications and services for the BlueField networking platform with the NVIDIA DOCA™ software development kit.
NVIDIA Ethernet SuperNICs emerge as a new class of network accelerators, purpose-built to supercharge network-intensive, massively distributed AI computing workloads.
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Powered by NVIDIA BlueField-3 DPUs for NVIDIA AI systems.
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Normally, data center networks are updated when new applications or servers are installed in the infrastructure. But independent of new server and application infrastructure forcing an update, there are other areas to consider. Learn the three questions to ask when assessing if you need to update your network.
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The integration of the NVIDIA BlueField-2 DPU within the next-generation VMware Cloud Foundation creates a powerful enterprise cloud platform with best-in-class security, operational efficiency, and ROI. It’s a secure architecture for the modern enterprise private cloud leveraging VMware and accelerated by both DPU and GPU. The accelerators provide security, lower TCO, higher performance, and new functionality that wasn’t possible before.
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Data processing units (DPUs) provide greater data center efficiency, but low-level-programming requirements have hindered broad adoption. NVIDIA’s DOCA software framework, which abstracts the programming of BlueField DPUs, removes this obstacle. Hear from Linley Group analyst Bob Wheeler how customers will be able to program future converged DPU+GPU hardware using the combination of DOCA and CUDA.
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High-performance computing (HPC) and AI have driven supercomputers into wide commercial use. They’ve become the primary data processing engines for research, scientific discoveries, and even product development. When designing a supercomputer architecture, the goal is twofold: to mitigate factors that impact performance and to accelerate application performance whenever possible.
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