Audience
Companies doing AI and ML development
About Neural Magic
GPUs bring data in and out quickly, but have little locality of reference because of their small caches. They are geared towards applying a lot of compute to little data, not little compute to a lot of data. The networks designed to run on them therefore execute full layer after full layer in order to saturate their computational pipeline (see Figure 1 below). In order to deal with large models, given their small memory size (tens of gigabytes), GPUs are grouped together and models are distributed across them, creating a complex and painful software stack, complicated by the need to deal with many levels of communication and synchronization among separate machines. CPUs, on the other hand, have large, much faster caches than GPUs, and have an abundance of memory (terabytes). A typical CPU server can have memory equivalent to tens or even hundreds of GPUs. CPUs are perfect for a brain-like ML world in which parts of an extremely large network are executed piecemeal, as needed.
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Integrations
Company Information
Neural Magic
Founded: 2018
United States
neuralmagic.com
Videos and Screen Captures
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Product Details
Platforms Supported
Cloud
Training
Documentation
Videos
Support
Online
Neural Magic Frequently Asked Questions
Q: What kinds of users and organization types does Neural Magic work with?
Neural Magic works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does Neural Magic support in their product?
Neural Magic supports these languages: English.
Q: What kind of support options does Neural Magic offer?
Neural Magic offers support via online.
Q: What other applications or services does Neural Magic integrate with?
Neural Magic integrates with: Ultralytics.
Q: What type of training does Neural Magic provide?
Neural Magic provides training in the form of documentation and videos.
