Your current Intel® HPC infrastructure can take you there!
By now, most companies, research institutions, and government agencies recognize the benefits of AI. They increasingly understand machine learning and deep learning’s capability for deriving greater insight and meaning from their data with minimal human intervention. Despite this broad acknowledgment of AI’s benefits though, some organizations remain hesitant to move forward on the path to implementation. Several factors create perceived barriers. Budget requirements, specialized hardware, software needed, and the human skills needed to deploy, administer, and optimize a complex HPC system represent a few such concerns.
The idea that an organization must adopt all-new, expensive infrastructure to obtain the computing horsepower for AI is a misperception.
However, the idea that an organization must adopt all-new, expensive infrastructure to obtain the computing horsepower for AI is a misperception. Those organizations which have an HPC system in place today may have made significant progress on the journey toward AI.
Intel® end-to-end HPC solutions already power thousands of HPC systems around the globe. Because Intel technologies are designed and built from the ground up for AI and advanced analytics, many organizations’ existing infrastructure is AI-ready, already. For this reason, the road toward AI adoption using your existing infrastructure remains the quickest and most efficient path to success.
Intel® Xeon® Scalable processor family and Intel® FPGAs feature a microarchitecture created to maximize performance and scale for compute-intense workloads. Complementing the processors, Intel® 3D NAND solid state drives (SSDs) and Intel® Optane™ technology provide advanced storage solutions with high endurance and low latency, reducing data access bottlenecks when managing enormous data volumes. Supplementing these products, the Intel® Omni-Path Architecture (Intel® OPA) accelerates communications among HPC nodes, enabling greater network speed and scale in the process. This powerful combination can effectively accommodate even challenging AI-based workflows like neural network training.
Additionally, because the Intel HPC platform supports industry standards, open source software tools, frameworks, and libraries it can speed your code development by a substantial margin. Ultimately, this means your organization can achieve optimal performance, and faster insights from data using AI, without requirements for major changes to existing HPC infrastructure.
Those who have adopted AI already experience enormous benefits. The volume, variety, and velocity of data created in today’s digital age create incredible opportunities for organizations tapping AI to bring products to market faster, make quicker business decisions, and strive for increasingly-profound scientific discoveries. For example, auto manufacturers lean on advanced data interpretation to design more fuel-efficient and safer vehicles, and to incorporate new services like automated driving. In academic and government environments, AI fueled by HPC already offers major contributions to science. Researchers increasingly lean on HPC for their most difficult undertakings like identifying molecular catalysts and creating more effective wind turbine designs.
AI also advances other fields with potentially life-saving results. AI helps design better medications and provide faster medical diagnoses for patients. It can help simulate and better predict natural disasters like earthquakes and hurricanes. Additionally, smarter crop analysis will help make farming more efficient, so we can better feed the world’s growing population.
As these examples illustrate, those that prioritize AI adoption experience substantial benefit from their investments. To take your first step toward using AI in your HPC environment today, read our eGuide and visit www.intel.com/hpc.
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