GPUs are revolutionizing computing in a completely new way.
With the ever-growing demand for high-powered computing the HPC industry is moving toward a hybrid computing model, where GPUs and CPUs work together to perform day-to-day computing tasks.
GPUs excel in tackling vast amounts of similar data because the problem can be split into hundreds or thousands of pieces and calculated simultaneously.
Adding a GPU co-processor to your workstation will increase computational efficiency and harness heterogeneous computing, taking advantage of thousands of GPU-based processing cores. The addition of a GPU co-processor will upscale computing performance significantly – addressing GPU rendering, complex analytics, Ai and deep learning, data-intensive medical, engineering and oil and gas seismic and substance processing tasks up to several orders of magnitude faster.
GPU co-processors provide a massive number of GPU cores and teraFLOPS of performance and can be configured in a variety of ways to address diverse hardware, software, workload, performance and efficiency demands in the workplace.
With GPU rendering now more popular than ever, now is a great time to get a dedicated solution for all your Octane, Redshift, Corona, Blender, VRay RT, iRay, mental ray, Maxwell, Brazil, Rhino, Keyshot (and many more) needs.
