Getting Started with llamatelemetry: CUDA-first LLM Inference and Observability Python SDK on Kaggle
I have created Python sdk llamatelemetry out of frustration to make use of local llama models which require the usage of C++ tool llama.cpp. llama.cpp is an inference tool written in C++ which can be ...
In this tutorial, we implement an end-to-end workflow for Salesforce CodeGen. We load a CodeGen model from Hugging Face, prepare it for code generation, and use it to generate Python functions from ...
In this tutorial, we build a speech recognition and translation workflow using NVIDIA Canary-1B-v2. We begin by setting up the required audio, NeMo, NumPy, and SciPy ...
Running an empty CUDA kernel costs 16 µs. Here's where every microsecond goes. Most GPU tutorials start with "write a kernel." The more useful place to start is: what does it cost just to launch one ...
With the proper setup and guidance, you can have Claude Code, Codex, Posit Assistant, and other coding agents writing R code ...
High performance: close to roofline fp16 TensorCore (NVIDIA GPU) / MatrixCore (AMD GPU) performance on major models, including ResNet, MaskRCNN, BERT, VisionTransformer, Stable Diffusion, etc. Unified ...
0.3.1: tv::DType enum value changed, this will affect all binary code of tv::Tensor user. you must recompile all code if upgrade to cumm >= 0.3.1. We offer python 3.9-3.13 and cuda 11.4/11.8/12.1/12.4 ...
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