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Follow on Google News | CASwell Releases Whole Range Of Data Processing Units For AI Acceleration And MoreNew DPU Series Based On Marvell OCTEON With ARM Neoverse N2 For Data Center And Edge Computing
By: CASwell Inc. As Artificial Intelligence (AI) and Machine Learning is being used in an increasing number of applications and industries, CASwell provides the suitable systems and acceleration modules like these new DPUs. When used in traditional server or edge appliances, the DPUs can improve performance, efficiency and cost-effectiveness of data-processing tasks like deep learning and AI. Utilizing DPUs effectively not only offloads workloads from other parts of the data computing system, but also leads to higher performance. This is because DPUs are vital components in specialized hardware units that accelerate specific data processing tasks and provide higher performance and energy efficiency than traditional general-purpose processors like CPUs or GPUs. Combined with a DPU, these systems are ready for the next generation of AI applications. CASwell's DPU series uses different versions of Marvell's OCTEON 10 chips with different numbers of cores, but all of them are based on the latest 64-bit ARM Neoverse N2 technology. This Armv9 infrastructure offers an enormous 40 percent performance uplift (at instructions per clock) over Neoverse N1, while retaining industry-leading performance- Summary and availability CASwell's DPU-based acceleration modules are ready to take your network server or edge appliance to the next level of AI integration and performance while maintaining superior energy efficiency to keep operation costs down. The best solutions when using these modules are combinations with CASwell's systems, but the DPU series can also be deployed with compatible setups. The HSC series of DPU cards by CASwell is available now for customer evaluation. Please contact your local CASwell representative or sales for any question! More details about CASwell's DPU-based acceleration modules can be found here: https://www.cas- End
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