Technology
CuPy
CuPy: The high-performance, GPU-accelerated array library for Python, offering a near-perfect drop-in replacement for NumPy and SciPy.
CuPy delivers GPU acceleration for Python array computing: it is a NumPy and SciPy-compatible library, acting as a drop-in replacement for existing code. Simply swap `numpy` for `cupy` to leverage NVIDIA CUDA or AMD ROCm platforms. This library utilizes optimized CUDA Toolkit components (e.g., cuBLAS, cuFFT) to maximize GPU architecture performance, often providing speedups exceeding 100X on specific operations. It also supports advanced features: custom CUDA kernels, memory pooling, and multi-GPU environments via `cupyx.distributed`.
What builders pair with CuPy
Projects using both technologies. Select a pairing to see a project.
Pairing: NVIDIA RAPIDS
Hackeando Tomografías: Visualización 3D Interactiva con Python y UMAP en GPU
Pairing: Python
Hackeando Tomografías: Visualización 3D Interactiva con Python y UMAP en GPU
Pairing: SimpleITK
Hackeando Tomografías: Visualización 3D Interactiva con Python y UMAP en GPU
Pairing: vedo
Hackeando Tomografías: Visualización 3D Interactiva con Python y UMAP en GPU
Recent Talks & Demos
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