# CuPy Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/cupy
> Markdown URL: https://aitinkerers.org/technologies/cupy.md
> Technology record last updated: 2026-04-06T19:52:44Z
> Generated: 2026-09-22T02:44:29Z

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`.

- Official technology site: https://cupy.dev/
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Hackeando Tomografías: Visualización 3D Interactiva con Python y UMAP en GPU](https://manizales.aitinkerers.org/talks/rsvp_nWytrtIe5MU)

Presentaré una demo en vivo de un pipeline en Python para la exploración interactiva de volúmenes médicos 3D. El sistema utiliza UMAP, acelerado en una GPU con la librería cuML de NVIDIA RAPIDS, para generar un embedding 2D de las características de los vóxeles. Luego, mostraré cómo es posible seleccionar clústeres en este mapa 2D para aislar y visualizar estructuras anatómicas (hueso, tejido blando) en un render 3D, todo en tiempo real y con una latencia mínima.

- Event context: 🚀 ¡Sexto Encuentro de AI Tinkerers Manizales! 🤖 — 2025-08-27 — Manizales
- Public talk page: https://manizales.aitinkerers.org/talks/rsvp_nWytrtIe5MU

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