With increasing dependency of businesses on Artificial Intelligence, the system administrators are regularly demanding upgrades in power systems servers with the daily increasing workload on these servers
IBM today unveiled its next-generation Power Systems Servers incorporating its newly designed POWER9 processor. Built specifically for compute-intensive AI workloads, the new POWER9 systems are capable of improving the training times of deep learning frameworks by nearly 4 times allowing enterprises to build more accurate AI applications, faster.
The company claims that new POWER9-based AC922 Power Systems are the first to embed PCI-Express 4.0, next-generation NVIDIA NVLink and OpenCAPI, which combined can accelerate data movement, calculated at 9.5x faster than PCI-E 3.0 based x86 systems.
Faster application of deep learning and real time analysis
The system is designed to drive demonstrable performance improvements across popular AI frameworks such as Chainer, TensorFlow and Caffe, as well as accelerated databases such as Kinetica.
As a result, data scientists can build applications faster, ranging from deep learning insights in scientific research, real-time fraud detection and credit risk analysis.
IT infrastructure needs to be re-designed for the AI era, which allows analysis of data in milliseconds and make decisions driven by data. AI workloads demand new hardware and software paradigms and the infrastructure to deliver data-driven workloads. The P9 architecture aims to transform computing across every industry and profession, turning client data into faster insights where inferences can be drawn quicker and faster to market said Viswanath Ramaswamy, Director – Systems, India/South Asia.
Management of free-flowing data
Deep learning is a fast growing machine learning method that extracts information by crunching through millions of processes and data to detect and rank the most important aspects of the data. Therefore, need of new architecture arouse to manage free-flowing data, streaming sensors and algorithms for data-intensive AI and deep learning workloads on Linux.
IBM in the press release also promised of providing enterprises with an infrastructure that incorporates hardware and software with the latest open-source innovations.
With PowerAI the company claims to offer optimised and simplified deployment of deep learning frameworks and libraries on the Power architecture with acceleration, allowing data scientists to be up and running in minutes.
Necessity of open ecosystem to fuel innovation
The era of AI demands more than tremendous processing power and unprecedented speed. It also demands an open ecosystem of innovative companies delivering technologies and tools. The developers participation to it and out of the box approach will allow us to witness more such remarkable technologies in future.
