Parallelformers
Library for model parallel deployment of large language models.
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—Overview
What is Parallelformers?
Parallelformers is a library that enables efficient model parallelism for deploying large language models. It helps in distributing the computational load across multiple GPUs, making it easier to handle resource-intensive tasks without compromising on performance or scalability.
Key differentiator
“Parallelformers stands out as an open-source library specifically designed to enable efficient model parallelism, making it ideal for deploying large language models across multiple GPUs.”
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Who is it for?
✓ Best for
Teams deploying large language models who need efficient parallelism across multiple GPUs
Projects requiring high performance and scalability with limited hardware resources
✕ Not a fit for
Developers looking for a cloud-based managed service solution
Small-scale projects that do not require extensive GPU resource management
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Get Started with Parallelformers
Step-by-step setup guide with code examples and common gotchas.