2 projects for "cuda wrapper" with 1 filter applied:

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  • Host LLMs in Production With On-Demand GPUs Icon
    Host LLMs in Production With On-Demand GPUs

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    Deploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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  • 1
    Numbast

    Numbast

    Build an automated pipeline that converts CUDA APIs into Numba

    Numbast is an automated toolchain that bridges CUDA C++ and Python by generating Numba-compatible bindings directly from CUDA header files. Its primary goal is to eliminate the manual effort required to expose CUDA libraries to Python, enabling developers to use GPU-accelerated functionality in Python environments more easily. The system parses CUDA C++ declarations and converts them into Python bindings that can be used within Numba, allowing seamless integration with Python-based GPU...
    Downloads: 0 This Week
    Last Update:
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  • 2
    Koila

    Koila

    Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code

    ...This approach enables developers to experiment with larger batch sizes and more complex architectures while maintaining stable training behavior. The system acts as a thin wrapper around PyTorch tensors and operations, meaning that it integrates easily into existing PyTorch code without requiring major changes to model implementations. It is particularly useful in environments where GPU resources are limited or where models frequently encounter CUDA memory errors.
    Downloads: 0 This Week
    Last Update:
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