Staying ahead of the competition requires finding solutions first. For an oil company, that may mean increasing the hit-rate of wells; for a pharmaceutical company, quickly identifying effective medical treatments and for a financial institution, it may translate to finding the means to manage risk better. In today’s increasingly data-intensive world, processing massive amounts of data to quickly ...gain meaningful insights can be complex and costly. For many businesses focused on staying competitive, high-performance computing (HPC) offers an answer, with the promise of accelerating discoveries and reducing time to solution.
Implementing and optimizing HPC can be challenging, however. System bottlenecks—in areas such as memory, I/O, storage and performance—can impose limitations on the value of HPC. Diverse workload needs can create a need for divergent system infrastructure—for example, a business may choose to implement specialized architectures for data analytics, visualization or artificial intelligence (AI). These factors, combined with software that’s similarly specialized to match the hardware, can make it difficult to achieve economies of scale with HPC.
Reducing the complexity of creating and using HPC systems is the key to making HPC’s innovative and competitive benefits more widely available.
Intel® Scalable System Framework (Intel® SSF) is an architectural design foundation that enables development and deployment of a wide variety of high-performance, balanced solutions to support compute-and data-intensive workloads. Its standards-based programmability allows engineers to run diverse workloads on a broadly available, common infrastructure, making the power of high-performance computing accessible to businesses of all sizes.