Tom Fenton reports running Ollama on a Windows 11 laptop with an older eGPU (NVIDIA Quadro P2200) connected via Thunderbolt dramatically outperforms both CPU-only native Windows and VM-based ...

The relevant question is where incremental workloads go when Python-native researchers can write performant kernels without scarce CUDA specialists, and when the same code can run on cheaper or more ...

Thinking about getting started with data science or maybe just want a better way to handle your Python projects? Anaconda Python is a super popular choice, and for good reason. It bundles a lot of ...

Python developers often need to install and manage third-party libraries. The most reliable way to do this is with pip, Python’s official package manager. To avoid package conflicts and system errors, ...

NVIDIA launches Wheel Variants to streamline CUDA-accelerated Python package installation, addressing compatibility challenges and optimizing user experience across diverse hardware setups. NVIDIA has ...

NVIDIA introduces cuda.cccl, bridging the gap for Python developers by providing essential building blocks for CUDA kernel fusion, enhancing performance across GPU architectures. NVIDIA has unveiled a ...

Soon to be the official tool for managing Python installations on Windows, the new Python Installation Manager picks up where the ‘py’ launcher left off. Python is a first-class citizen on Microsoft ...

DeepSeek, even though it is relatively new, has made quite a mark in the artificial intelligence market. With the help of Janus-Pro-7B, DeepSeek is making waves in the field of image generation. By ...

When it comes to maximizing the performance of your NVIDIA GPU on Fedora, installing the right drivers is crucial. With various methods available, each catering to different user needs and levels of ...

Python libraries are pre-written collections of code designed to simplify programming by providing ready-made functions for specific tasks. They eliminate the need to write repetitive code and cover ...

Alright.....so I've used these commands to install cuda llama-cpp-python on my windows 11 machine. set CMAKE_ARGS="-DGGML_CUDA=on" pip install llama-cpp-python --no ...