Accelerators for Dell EMC PowerEdge servers

NVIDIA® GPUs deliver the horsepower needed to run bigger simulations faster than ever before. Plus, NVIDIA GPUs deliver high performance and user density for virtual desktops, applications, and workstations. Available in Dell EMC PowerEdge servers including C4140, DSS 8440, R7525, R740, R740xd, R7515, R6525, R6515, R640, C6525, R840, R940xa, VRTX, T440, T640 and in HPC and AI solutions.

• Explore Nvidia A100 GPU
• See the Quadro RTX 6000
• Learn about the Quadro RTX 8000
• Explore the T4 Tensor Core GPU
• Explore the Tesla V100/S GPU Accelerator
• Explore NVLINK Fabric interconnect
• Explore GPU-Cloud containers
• Explore the software application catalog
• Explore NVIDIA developer resources

Built on the CDNA architecture, AMD MI100 delivers industry best single-precision (FP32) performance.

MI100 accelerates HPC, AI workloads, and reduces the overall cost of ownership.

Now Available on Dell EMC PowerEdge R7525 server.

• Explore MI100
• Read MI100 Brochure
• Read the AMD MI100 Whitepaper

FPGAs can be dynamically reprogrammed with a data path that exactly matches your workloads, such as data analytics, image inference, encryption, and compression. Available in PowerEdge servers including the R640, R740/xd, R840, R940xa and in HPC and AI solutions. 

• Explore PowerEdge servers
• Explore Intel PAC with Intel Stratix 10 SX
• Explore Intel PAC with Intel Arria 10 GX FPGA
• Explore the software acceleration stack
• Explore the Intel FPGA Acceleration Hub

Built on the Xilinx 16nm UltraScale™ architecture, Xilinx FPGAs are adaptable to changing acceleration requirements and algorithm standards, capable of accelerating any workload without changing hardware, and reducing overall cost of ownership.

• Explore the Xilinx U200
• Software ecosystem
• Explore developer tools

Graphcore’s intelligence processing unit (IPU) emphasizes graph computing with massively parallel, low-precision floating-point computing. It has more than 1,000 processors which communicate with each other to share the complex workload required for machine learning.

• Explore Graphcore IPUs
• Get started with the Poplar software stack
• Explore the DSS 8440 server
• Learn more about Extreme Scale Infrastructure