In this video from the GPU Technology Conference, Brett Stouder from Seneca describes the company’s new Nexlink A24 Series Server, which Sports Up to 4 Intel Xeon Phi Coprocessors or Nvidia Tesla GPUs in a 2U chassis.
Industry Perspectives
IBM's Plan to bring Machine Learning Capabilities to Data Scientists Everywhere
Over at the IBM Blog, IBM Fellow Hillary Hunter writes that the company anticipates that the world’s volume of digital data will exceed 44 zettabytes, an astounding number. "IBM has worked to build the industry’s most complete data science platform. Integrated with NVIDIA GPUs and software designed specifically for AI and the most data-intensive workloads, IBM has infused AI into offerings that clients can access regardless of their deployment model. Today, we take the next step in that journey in announcing the next evolution of our collaboration with NVIDIA. We plan to leverage their new data science toolkit, RAPIDS, across our portfolio so that our clients can enhance the performance of machine learning and data analytics." [Read More...]
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SAS Analytics Using Direct Memory Access
Using Remote Direct Memory Access based analytics and fast, scalable,external disk systems with massively parallel access to data, SAS analytics driven organizations can deliver timely and accurate execution for data intensive workflows such as risk management, while incorporating larger datasets than using traditional NAS.
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