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Does your organization require optimized infrastructure for deploying AI/ML trained models at the edge? The Qualcomm Cloud AI 100 Accelerator for HPE dramatically improves server performance on AI/ML inference workloads for faster insights and higher accuracy data transformations on computer vision, natural language, and other state-of-the-industry AI/ML use cases. Based on the Qualcomm AI Core, this server accelerator is tailored for inference, supporting model customization and quantization to lower precision datatypes for optimized performance and industry-leading power efficiency. With low power consumption, the Qualcomm Cloud AI 100 Accelerator for HPE can increase performance while lowering operating cost.
Do you require higher performance computation for deep learning, high-performance computing (HPC) workloads, or graphics? NVIDIA® Accelerators for HPE can help you overcome greater computational and graphics requirements as large and complex computational models become more commonplace. Designed for power-efficient, HPC, NVIDIA Accelerators for HPE deliver dramatically higher application acceleration than a CPU-only approach for a range of deep learning, scientific, and commercial applications. The thousands of NVIDIA CUDA cores of each accelerator allow it to divide large computing or graphics tasks into thousands of smaller tasks that can be run concurrently, thus enabling much faster simulations and improved graphics fidelity for extremely demanding 3D models. NVIDIA Accelerators seamlessly integrate GPU computing with select HPE server families.
Do you need optimized acceleration in your data center?
Xilinx® Accelerators for HPE are designed to dramatically increase performance in HPE servers across cloud and on-premises data centers to help accelerate the workloads running in a hybrid cloud environment. Experience breakthrough performance improvements with low latency while running key data center applications such as real-time machine learning, training, inference, video transcoding and encoding, genomics, and data analytics. This series features two flexible options, U50 and U250, to help optimize and adapt to ever-changing business environments.
Deliver significant performance advantages for workloads such as financial computing, machine learning, computational storage, and data search and analytics. Xilinx® Accelerators for HPE are adaptable to changing acceleration requirements and algorithm standards, capable of accelerating any workload without changing hardware, and reduces overall cost of ownership.
Does your data center need to increase productivity, optimize Total Cost of Ownership (TCO), and improve ROI?
Intel® Field Programmable Gate Array (FPGA) accelerators can help facilitate many of the core data center workloads that process the growing volume of data that our hyperconnected world creates. They can be reprogrammed in a fraction of a second with a data path that exactly matches your workloads such as data analytics and financial algorithm testing. This versatility results in a higher performing, more power efficient, and well-utilized data center – lowering your total cost of ownership (TCO). Intel's FPGAs provide flexibility and can connect directly to processors, memories, networks, and numerous other interfaces. Traditionally, FPGAs require deep domain expertise to program, but the Intel Acceleration Stack simplifies the development flow, and enables rapid deployment across the data center.
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