The new and improved NVIDIA Tesla comes with the processing power of GPUs (i.e., the graphics chip located on the video card) increasing everyday – this has gone and developed to the point that they are more powerful than regular CPUs for math calculations – it’s been researched and discussed upon for quite some time now if GPUs couldn’t be used as a CPU for processing regular programs. The radical new concept or idea, known as GPGPU (General-Purpose Computation on GPUs), is to throw to the GPU calculations that would otherwise be done by the CPU in order to increase performance. The NVIDIA Tesla helps improve process power of your machine and also helps in accelerating your scientific calculations.
The GPU starter kit comes pre-installed. It is also counted amongst the world’s most greenest powerful computers. They help speed up the processor power and also helps in increasing the graphics capability of the system. Going one step further, NVIDIA Tesla was launched which has a series of “video cards” called Tesla. These “video cards” feature GeForce 8800 GPUs but they do not produce video: they are targeted to be used as CPUs, processing programs. In this article we will tell you everything you need to know about Tesla, including a lot of pictures of NVIDIA Tesla solutions. Based on the Fermi GPU architecture, the powerful new mechanics and technology under the hood of one of these new offerings from the stable of NVIDIA is a dream come true for most computer enthusiasts. This basic card is the building block for the other two Tesla products available: D870 and S870.
D870 – where the “D” on its name stands for “Desktop” – is a small external case containing two C870 cards, so the processing power of this solution is of 1 TFLOP (trillion of floating-point of operations per second). This case is connected to the main PC through a cable, which is basically an expansion of the PCI Express bus. The problem is how to do this, as a programmer would have to know how to program to a specific GPU in order to make a program that could use the system GPU, and this program wouldn’t work with a different GPU. So far NVIDIA has launched three NVIDIA Tesla products: a basic card, called C870, which is a GeForce 8800 video card but without a video output. The “C” on its name stands for “card.” This card has 1.5 GB of memory and has a math processing performance of 500 GFLOPS (billions of floating-point operations per second). Using a standard PCI Express x16 connector this card can be installed on any desktop computer. These programs must be compiled with CUDA, of course. So regular users won’t benefit this technology, i.e., don’t think that by installing one of these cards on your personal computer and your processing power will automatically increase. Overall the new NVIDIA Tesla is a great new GPU which helps in all round performance enhancement of your system.