Shypd.aiThe largest open index of AI toolsVoltaML is an open-source library that accelerates machine learning and deep learning models. It converts and runs models in high-performance inference runtimes like TensorRT, TorchScript, ONNX, and TVM, offering up to 10X speed improvements.
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VoltaML is an open-source, lightweight library designed to significantly accelerate machine learning and deep learning models. It provides capabilities to optimize, compile, and deploy models to both CPU and GPU devices with a single line of code. Key features include support for FP16 and Int8 quantization, as well as hardware-specific compilation for various inference runtimes such as TensorRT, TorchScript, ONNX, and TVM. VoltaML demonstrates substantial speed-ups, with benchmarks showing up to 13.6x faster inference for classification models and 7.6x for segmentation models on GPUs. It also supports accelerating Huggingface NLP models and includes voltaTrees for optimizing XGBoost and LightGBM decision trees, offering 10x speed improvements. For enterprise customers, VoltaML offers a fully managed, cloud-hosted optimization engine with one-click deployment and cost-benefit analysis.
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Open Source · Enterprise
Free
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