NVIDIA is one of the world’s leading manufacturers of Graphics Processing Unit (GPU). As a matter of fact, it pioneered the first GPU ever. Sometimes called the Visual Processing Unit (VPU), GPU is a powerful electronic single-chip processor that can be structurally found in a computer’s video card or in motherboard. Devised for the purpose of manipulating and enhancing video and graphic performance of computers, laptops, and even mobile phones and game consoles. In nowadays model of GPU, it comes with additional system for computing complex data calculations as in the scientific and research fields.

How important is GPU?

The initiation of GPUs by NVIDIA gave way to a satisfying digital experience of today’s modern times. Not only in the entertainment aspect of life that makes GPU all the more useful, it also serves as an important tool for the fields of research and science. Here are several reasons why GPU is of significance:

  •  It enables video to run smoothly.
  •  Makes images and graphics appear crisp and clear.
  •  Delivers high- precision color spaces and texture.
  •  Offers computational functions rather than just rendering polygons and texture mapping, when later added with units and systems to speed up geometric calculations of complex data analytics. This only holds true with modern GPUs, which is practically important for computing delicate data as in researches.
  •  Produces faster video and graphics, at the same time, lessens the work load of the Central Processing unit (CPU)

How did GPU products develop and evolve?

It all started from the brilliant minds of NVDIA. On 1999, they marketed the world’s first GPU, the GeForce 256, and popularized the term Graphics Processing unit. As the first ever model, GeForce 256’s operations were restricted and limited, mainly in the context of texture mapping and rendering polygons only. When the NVIDIA started marketing GPUs, other companies soon followed. The ATI Technologies also developed their own, and instead of GPU, they used and coined the term Visual Processing Unit (VPU) in 2002.Modern GPUs designed by NVIDIA have now come with specialized features and operations way better than the older versions. Its Tesla GPUs are carefully made for complex and delicate operations like in research and scientific fields.

How the NVIDIA Tesla GPU servers can make a difference?

The NVIDIA did not stop to produce quality and powerful GPUs since its first GPU, the GeForce 256. Today, they continue to become more creative and detail oriented with relevance to the features and operations of their GPUs. Check out these interesting features of NVIDIA Tesla GPU server that makes it stand out among all other devices with the same purpose:

  •  It is specifically designed to cater complex programming and computing services that entails high precision and performance.
  •  Since Tesla GPU is developed for the purpose of computing highly complicated operations and scientific models, one single error can be very crucial. In order to see to it that nothing will go wrong, Tesla GPU is submitted to undergo an error tolerance test.
  •  It delivers more efficient and faster performance when it comes to computing.
  •  Another important promising feature of Tesla GPU is its storage capacity. It won’t easily break down with its large on-board memory and is able to accommodate big data analytics and intensive database. Up to 12 GB is made available on the NVIDIA new Tesla K40.
  •  Tesla servers can be run under the support of various servers, for instance, Linux, Windows, Ubuntu, RHEL and SLES.
  •  A long extensive three year warranty from NVDIA is provided for every purchase of Tesla GPU which makes it all the more promising.