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TORCH
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Entry - 1 CPU + 2 GPUs




Mid - 1 CPU + 4 GPUs




High - 2 CPU + 4 GPUs






"Shedding Some Light on the Torch Machine Learning Library"

Torch is one of the major machine learning libraries, playing a central role in scientific computing, with many projects relying on its simple scripting language and powerful GPU-first design.

Torch is a machine learning library. If that doesn’t mean anything to you then it will only take a few seconds to explain. Machine learning is a subset of the field of artificial intelligence. It’s basically the process of feeding a computer heaps of data and then asking it to look for patterns. In machine vision, for example, computer can learn to quickly and efficiently recognize objects such as human faces. Once it’s figured out how to do it, it produces an algorithm. Essentially a recipe for doing something complex quickly and reliably.

The methods by which these algorithm are built is the essence of machine learning. To prevent people from having to reinvent the wheel every time they have to make an algorithm this way there are several computer libraries that contain all the machine learning methods we know of.

Torch is one of the older ML libraries out there and as of 2018 it’s no longer in active development. Despite this Torch is still used in plenty of projects, especially since it is one of the easier libraries to use. That’s thanks to it mainly using LUA, but for those who want something more advanced it’s also available in C. Facebook, Google, Twitter and the like are all still using Torch. There’s even a Python version known as PyTorch, although that’s a separate project.

What Makes Torch Special?

Torch is all about flexibility. There’s a lot of community extension work available, making it relatively easy to find something for just about any machine learning implementation. On top of this, you can get some incredible GPU-based performance from Torch or parallelize your workload over many traditional CPUs.
Which means you can build workstations that really maximize the performance you can tap from the hardware you’ve paid for, all without having to learn incredibly complex coding languages!

Operating systems supported by Torch

Windows 10 Professional 64-bit
Windows 8.1 64-bit (pro)
Windows 7 64-bit (Professional and Ultimate)





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