Graphics Processing Units


Graphics Processing Units (GPUs) are specialized hardware devices designed to perform complex mathematical calculations and data processing in parallel. Originally developed for rendering graphics in video games and other visual applications, GPUs have become an essential tool in the field of data science due to their ability to perform large-scale computations quickly and efficiently. GPUs are particularly useful for tasks such as machine learning, deep learning, and neural network training, which require massive amounts of data processing. By utilizing the parallel processing power of GPUs, data scientists can significantly reduce the time required to train complex models and analyze large datasets.


Your Previous Searches
Random Picks

  • Distributed File Systems: Distributed File Systems (DFS) are a type of file system that allows multiple computers to access and share data over a network. In a DFS, files are stored on multiple servers, and users can access them as if they were stored on a single ma ... Read More >>
  • Neural Network Training: Neural network training is the process of adjusting the weights and biases of a neural network to minimize the difference between the predicted output and the actual output. This is done by feeding the network with a large amount of labeled ... Read More >>
  • Cipher Text: Cipher text is a type of encrypted text that is produced by applying a cryptographic algorithm to a plain text message. The process of converting plain text to cipher text is called encryption. The purpose of encryption is to protect the co ... Read More >>
Top News

Apple unveils souped up version of its cheapest iPhone...

The iPhone 16e is the fourth-generation of a model sold historically at dramatically lower prices....

News Source: Al Jazeera English on 2025-02-19

Microsoft reveals its first quantum computing chip, the Majorana 1...

Microsoft on Wednesday announced Majorana 1, its first quantum computing chip....

News Source: NBC News on 2025-02-19

Why I'm deeply sceptical about comparisons between humans and machines...

Humans learn very differently to machines, thanks to our biased, malleable memory – and that's a good thing, says Charan Ranganath, director of the Dynamic Memory Lab at the University of California...

News Source: New Scientist on 2025-02-19

Apple unveils a souped-up and more expensive version of its lowest-priced iPhone...

Apple has released a sleeker and more expensive version of its lowest priced iPhone in an attempt to widen the audience for a bundle of artificial intelligence technology that the company has been hop...

News Source: ABC News on 2025-02-19

Microsoft wants to use generative AI tool to help make video games...

Using AI to produce footage of video games with a consistent world and rules could prove useful to game designers...

News Source: New Scientist on 2025-02-19