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NVIDIA EGX converged accelerators are part of the NVIDIA EGX™ AI platform. and combine the powerful performance of the NVIDIA Ampere architecture with the improved security and latency reduction features of the NVIDIA® BlueField®-2 data processing unit (DPU). EGX converged accelerators enable organisations to create faster, more efficient and more secure AI systems in data centres and in the periphery.
UNPRECEDENTED GPU PERFORMANCE
For a wide range of compute-intensive workloads, the NVIDIA Ampere architecture delivers the biggest generational leap ever to further secure and accelerate enterprise and peripheral infrastructure.
Safety without compromise
NVIDIA BlueField-2 delivers innovative acceleration, security and efficiency for any host. BlueField-2 combines the power of NVIDIA ConnectX®-6 Dx with programmable arm cores and hardware offloads for software-defined storage, networking, security and management workloads.
Faster data speeds
NVIDIA converged accelerators offer an integrated PCIe Gen4 switch. This allows data to be transferred between GPU and DPU without going through the server PCIe bus. Even in systems with PCIe Gen3, communication occurs at full PCIe Gen4 speed. This enables a new level of efficiency and security for data centres in GPU-accelerated workloads, including AI, data analytics, 5G telecoms and other edge applications.
A MORE EFFICIENT, SAFER COMPANY
BALANCED, OPTIMISED DESIGN
Integrating the GPU, DPU and PCIe switch into a single device inherently creates a balanced architecture. In systems where multiple GPUs and DPUs are desired, a converged accelerator card avoids conflicts on the server's PCIe bus, so performance scales linearly with additional devices. Converged cards also make performance much more predictable. Offloading these components to a physical card also improves space requirements and energy efficiency. Converged cards greatly simplify deployment and ongoing maintenance, especially when installed in mass-oriented servers on a large scale.
MORE POWERFUL NETWORKING
With NVIDIA converged accelerators, organisations benefit from the DPU's networking capabilities when creating a scalable infrastructure for modern applications. Modern workloads and data centre designs traditionally result in significant overhead for networking tasks on CPU computing units. But NVIDIA SmartNIC, a core component of the NVIDIA DPU, provides network security offload capabilities, including Transport Layer Security (TLS) and Internet Protocol Security (IPSec), which relieves CPU overhead. SmartNIC can also inspect network traffic and block malicious activity, providing enhanced security. NVIDIA DPU technology also enables converged NVIDIA GPUs to handle virtual networks faster and more efficiently.
NVIDIA AI-on-5G besteht aus der hyperkonvergierten NVIDIA EGX™ Computing-Plattform, dem NVIDIA Aerial™ SDK für softwaredefinierte virtuelle 5G-Funknetze (vRANs) und KI-Anwendungen für Unternehmen, einschließlich SDKs wie NVIDIA Isaac™ und NVIDIA Metropolis™. Diese Lösung kann lokal bereitgestellt und von Unternehmen verwaltet oder von Hyperscalern wie Google Cloud verwaltet werden, was die Bereitstellung von KI-Anwendungen über 5G-Edge-Netzwerke vereinfacht.
The convergence of NVIDIA's GPU and DPU creates a more secure AI processing engine where data generated in the Edge can be sent over the network fully encrypted without traversing the server PCIe bus. This ensures that they are protected end-to-end. With the NVIDIA DOCA SDK, you can easily create security and network services for the BlueField 2 DPU and use DPU hardware accelerators and CPU programmability to improve application performance and security.
This device enables the execution of data-intensive workloads in the edge and in the data centre with maximum security and performance.
The BlueField-2 A100 combines the power of the NVIDIA A100 tensor-core GPU with the BlueField-2 DPU. A100 delivers unprecedented acceleration and flexibility for the world's most powerful data centres. With Multi-Instance GPU (MIG), each A100 can be split into up to seven GPU instances, providing GPU acceleration at the right scale for optimal workloads and shared by all users and applications. The BlueField-2 A100 is designed for AI training, data analytics and 5G telecom workloads in data centres, which can benefit from high-speed communication between the GPU and network with guaranteed bandwidth, especially for large multi-node workloads.