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Dell PowerEdge XE9680 Support for the NVIDIA HGX H200

Dell PowerEdge AI Acceleration on NVIDIA GTC

Dell PowerEdge announcements at NVIDIA GTC include new eight-core GPUs, Ethernet AI technologies and Dell's first ARM processor.

The Dell PowerEdge XE9680 is our flagship server with octa-core acceleration for generative AI training, model tuning, and large-scale AI inference. The Dell PowerEdge XE family of products gives you the freedom to choose air-cooled or ultra-dense liquid-cooled configurations. PowerEdge XE servers provide even more capabilities for accelerated computing, such as the powerful eight-core NVIDIA Tensor Core H100 processor in the PowerEdge XE9680 or the quad-core NVIDIA H100 HGX processor in the PowerEdge XE9640 and PowerEdge XE8640. PowerEdge XE servers are NVIDIA certified systems and include advanced NVIDIA Quantum-2 InfiniBand and Spectrum-X Ethernet networking solutions, as well as NVIDIA AI Enterprise software.

The highly flexible PowerEdge XE9680 celebrates three generations of NVIDIA graphics processors. At launch, the XE9680 supported NVIDIA A100 Tensor Core GPUs based on the NVIDIA Ampere architecture and NVIDIA H100 Tensor Core GPUs based on the NVIDIA Hopper architecture. Dell today announced support for new NVIDIA GPUs based on the Blackwell architecture for AI acceleration and future updates.

Dell PowerEdge XE9680 supports NVIDIA HGX H200
The PowerEdge XE9680 adds support for NVIDIA H200 Tensor Core GPUs and BlueField-3 super-network cards. The updated NVIDIA HGX H200 is based on the same eight-processor NVIDIA Hopper architecture as the PowerEdge XE9680 with NVIDIA HGX H100 with improved HBM3e memory. The PowerEdge XE 9680, with its increased memory capacity of 141 GB per GPU, is expected to be able to accommodate more AI model parameters for training and inference in the same air-cooled 6RU profile for lower total cost of ownership (TCO). NVIDIA BlueField-3 SuperNIC accelerates and offloads the clustered network traffic typical of large AI models, providing direct communication between GPUs and accelerating decision-making times.

Dell PowerEdge XE9680 with air cooling and NVIDIA HGX B100
The PowerEdge XE9680 with the NVIDIA Blackwell HGX B100 family of GPUs will offer businesses an eight-threaded next-generation GPU for generative AI with more computing power at 700W power consumption, like the NVIDIA HGX H100. The air-cooled PowerEdge XE9680 with NVIDIA HGX B100 GPUs will have a whopping total of HBM3e memory with NVIDIA NVLink interface of 1.54TB and will enable your business to get accurate GenAI data with models containing trillions of parameters.

Dell's NVIDIA GB200 NVL72 multi-node scalable server architecture will outperform eight GPU servers for large AI models by using up to 72 GPUs interconnected via NVLink technology
Also for the first time, Dell is announcing its first ARM processor with the NVIDIA GB200 superchip. Dell will partner with NVIDIA to offer a next-generation computing platform based on NVIDIA's hybrid ARM CPU Grace with integrated B200 GPUs on the Blackwell microarchitecture.

This new architecture will become the new "king of the hill" for inference and training of the largest AI models with many trillions of parameters. The GB200 NVL72's scalable multi-node server architecture will offer an ultra-dense system of 72 NVIDIA NVLink GPUs interconnected in a single rack.

Dell PowerEdge Support for NVIDIA BlueField-3 Ethernet Adapters
Dell PowerEdge offers users even more choice with support for NVIDIA BlueField-3 supercards for high-performance Ethernet networking for NVIDIA Spectrum-X artificial intelligence. This high-performance fabric combines the NVIDIA Spectrum-4 switch and BlueField-3 supercards within the NVIDIA OVX and NVIDIA HGX reference architectures to power NVIDIA Omniverse and NVIDIA AI Enterprise workloads.

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For more detailed information about the DELL PowerEdge R760 server with DDR5 4800 or the DELL PowerEdge R750 server with DDR4 3200, you can visit our website SERVER SOLUTIONS , to find out the price of the server, go to the DELL Server Configurator link .

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