Posts Tagged Home Computers
Difference Between Computer Rental and Computer Leasing
What Is Renting a Computer
Renting a computer is a lot like renting a car. This is usually done for a temporary and short need for a computer. You pay a fee, which is far less than the cost of actually buying a computer, and are given a computer to use. This can be just one computer or it can be a complete network, depending on your needs, but you will only be using the equipment for a short period of time, ranging from a few days to a few months.
When Renting a Computer Works Well
When would you want to rent a computer? There are many situations when it might be convenient. Consider these options:
School – Do you want to offer a short computer training program at your school or college setting? Renting a setup would save you money, and you could charge an additional fee to your students who wish to take the class. When the training period is over, you simply return the equipment.
Conventions – When you present at a convention, you may wish to have specialized equipment to use to display your PowerPoint presentation. Instead of lugging your own equipment with you, dealing with it at the airport, and setting it up once you arrive at your location, you can rent the gear, have it set up for you when you arrive, and simply bring your presentation on a disk or drive.
Travel – In general, traveling is a time when carrying your computer is difficult, particularly if you do not have a laptop. When you rent a computer, you can have it ready, configured, and waiting for you at your destination.
Temporary moves – When businesses move into temporary settings, setting up and then quickly taking down an entire technology infrastructure is highly inconvenient. Renting for this short period of time eliminates this problem.
Computers and other specialized equipment can also be rented to help deal with special projects. For instance, if you have a big project coming online that would require an extra printer or computer, you can rent it for the duration of the project, rather than buying it and having it sit unused most of the year.
What Is Leasing a Computer?
Leasing a computer, like leasing a car, is a more long-term commitment. You will sign a lease agreement for a set period, such as a year or longer, and if you back out of the agreement you will pay a penalty. You will typically pay monthly for the equipment you are using, and technical support is often included in the package. Sometimes the agreement allows you to rent to own, but the main benefit of leasing is the fact that leasing computer equipment cost a lot less at the outset than buying it.
When Leasing Makes Sense
Leasing makes sense when a business does not have enough capital to buy computer equipment, yet must have it for long term needs. If your business needs computer equipment, but you cannot afford to buy it, leasing allows you to avoid taking on debt to meet your need. You can preserve your lines of credit for other potential expenses. Leasing a computer also works well for individuals who need one but cannot afford to buy one, and there are many rental companies that offer individual leases for home computers. Basically, any time you or your business needs a computer but cannot afford to buy one, leasing is a convenient option.
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GPU computing – high performance computing at its best
In GPU computing the CPU calculations are replaced by Graphics Processing Units. Migrating large scale algorithms and entire kernel onto the GPU co-processors help in arriving at the answer much faster and thus decreases the processing time. GPUs are never a complete replacement for CPUs but complementary. Parallel operation of CPU and GPU has found to increase the performance. CPU’s offload the tasks which are better performed by GPU leading to high performance computing. GPU excel CPU’s in certain computational tasks.
A GPU’s processing power is mostly used while dealing with 3D scenes and video. The GPU computing for a graphics task such as rendering a 3D scene involves many stages like vertex processing, vertices grouping, fragment processing and mathematical operations. GPU computing is also known as General Purpose Computation on Graphics Processing Unit. Acceleration of video and picture editing, artificial intelligence and physics calculations come under the tasks of GPU computing.
GPU uses Advanced Graphics Port (AGP) to communicate with the mother board of a computer. Programmable shaders capable of manipulating vertices and textures are supported by latest GPUs. Very high precision color spaces, over sampling and interpolation techniques to reduce aliasing are also supported by GPU. GPU can process multiple independent vertices and fragments in parallel. Moreover a variety of computational resources are available on the GPU.
Multi-GPU’s are also available and are generally used in high-end home computers to accelerate computer games. Multi-GPU systems use more than one GPU. An example of multi-GPU system is Nvidia which can make a PC perform 250 times faster than usual. Not only that but by making use of the CUDA architecture which is made up ofhundreds of processors cores data set can be easily crunched via the application. General Purpose computing on graphics processing unit uses a GPU to perform computation in applications traditionally handled by CPUs. Additional programmable stages are included to make this happen. The general Purpose Computing on GPU(GPGPU)has cleared new ways in diverse fields like scientific image processing, oil exploration, linear algebra and 3D reconstruction.
GP GPUs are used in computer clusters, physics engines, FFT, audio signal processing, digital image processing, bioinformatics, scientific computing, DSP, neural networks and many more. GPU computing CUDA was developed by Nvidia. AMD has announced a super computer based on GPU which will be built of more than thousand GPUs. This supercomputer will have a computing power of one petaflop. The processing power of GPUs have further increased due to the advent of OpenGL API and similar functionalities in DirectX. Intel, AMD/ATI, NVIDIA and S3 Graphics are some of the players in the market who produce GPUs. Many companies are now engaged in researches to find out the further benefits of GPU computing.
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