More and more customers are looking at the benefits of GPU powered cloud environments where they can optimize solutions that work for them. Here at Veber we can design and build highly-customized, GPU cloud environments for you to squeeze every last bit of performance from your hardware and ensure all aspects of the environment are balanced to deliver the best possible return on investment.
A simple way to understand the difference between a GPU and a CPU is to compare how they process tasks. A CPU consists of a few cores optimized for sequential serial processing while a GPU has a massively parallel architecture consisting of thousands of smaller, more efficient cores designed for handling multiple tasks simultaneously.
GPU-accelerated computing offloads compute-intensive portions of the application to the GPU, while the remainder of the code still runs on the CPU. From a user's perspective, applications simply run much faster.
GRID technology brings unprecedented performance to the delivery of graphics intensive applications, such as CAD and video transcoding, from the cloud. Designed for density, GRID is the ideal GPU for achieving supercomputer speed at the desktop, balanced with data centre economics. GRID graphics boards are designed specifically for the data center. They have an optimized multi-GPU design that helps maximize user density and are designed to provide data center-class power efficiency, including the revolutionary new streaming "SMX" multiprocessor.
Working closely with leading server vendors such as Cisco, Dell, HP, IBM, and SuperMicro ensures GRID cards perform 24/7 for the life of the system. Benefits of NVIDIA GRID for IT:
TESLA technology works for big data analysis, business intelligence or scientific modelling and the worlds fastest GPU accelerators combined with high speed NVLINK interconnect technology make Tesla the ideal GPU for today’s computationally intensive workloads.
Solve your most demanding High-Performance Computing (HPC) challenges with NVIDIA Tesla family of GPUs. They're built on the NVIDIA KeplerT compute architecture and powered by NVIDIA CUDA®, the world's most pervasive parallel computing model. This makes them ideal for delivering record acceleration and more efficient compute performance for big data applications in fields including seismic processing; computational biology and chemistry; weather and climate modeling; image, video and signal processing; computational finance, computational physics; CAE and CFD; and data analytics.
GeForce provides the same level of computing performance as the enterprise cards, but without official application support and optimised drivers. Ideal for testing and budget applications.
The GeForce cards represent a fantastic opportunity to develop CUDA applications that do not require any virtualisation of the underlying physical GPUs.
Remember - our team is available to help you design and build your bare metal cloud environment, with the option of tailoring the server hardware to optimise your platform for your chosen applications.
We have over a decade of experience of providing infrastructure for traditional web and RDS platforms and we can assist in identifying bottle necks in your platform and provide solutions to remove any performance barriers.