IBM Adds Nvidia's Tesla M60 GPU Accelerators to Its Cloud
The tech giant continues to take advantage of Nvidia's GPUs to speed up the processing of complex workloads on its IBM Cloud environment.IBM officials for more than a year have turned to Nvidia's GPU accelerators to boost the system in its cloud computing environment. The massive tech vendor last year brought Nvidia's Tesla K80 and Tesla K10 GPUs into the IBM Cloud to make it easier and faster to run such complex high-performance computing (HPC) workloads as data analytics and deep learning. IBM officials this week said they now are offering the graphics-chips maker's Tesla M60 GPU in the cloud to enable users to run virtual desktop applications more quickly and more affordably. Essentially, the performance capabilities enabled by using the Tesla M60 GPU accelerators will enable organizations to run their complex tasks much faster while deploying fewer servers than they have to now. Those workloads can include data analytics, graphics, energy exploration, deep learning and artificial intelligence (AI), according to company officials. Through the addition of Nvidia GPUs onto the IBM Cloud, "we are one step closer to offering supercomputing performance on a pay-as-you-go basis, which makes this new approach to tackling big data problems accessible to customers of all sizes," Jerry Gutierrez, HPC leader for SoftLayer, IBM's cloud company, said in a statement. "We're at an inflection point in our industry, where GPU technology is opening the door for the next wave of breakthroughs across multiple industries."
Organizations in the HPC and supercomputing fields for almost a decade have increasingly turned to GPU accelerators from Nvidia and Advanced Micro Devices to speed up the performance of their systems while keeping power consumption and costs down. GPUs work with a system's CPUs, running complex workloads offloaded by the CPU that include tasks that can be processed simultaneously rather than sequentially, as on CPUs.