I Bought a 128GB RAM Mac, But Here's Why It Can't Beat NVIDIA GPUs at Image and Video Generation

"Since the Mac uses unified memory, it's definitely at an advantage for local AI." Believing this, I bought a 128GB RAM ...

Meta unveils Muse Spark Open, the new top U.S. open weights model — and it runs on two paired Mac desktops

Meta’s published results make Spark Open a contender with specific strengths, rather than an overall open-weight leader. Its ...
Blockchain News

KubeRay standardizes Ray deployment on Kubernetes, per AnyScale

AnyScale outlines KubeRay as the operator for running Ray clusters, jobs and Serve apps on Kubernetes.
finance.biggo

Modular's Dakkak: MAX Inference Stack Is 5.5x Faster on Kimi K2.5, and AMD's 30% Discount Changes the Math

Modular is making a bold claim: that the AI industry's biggest bottleneck isn't silicon, but the software sitting on top of it. In a ...

[Deep Dive] How many times does one line of PyTorch access GPU memory? ~Counting kernels to understand slowness~

I recently read an article by Adam Mainz (@MainzOnX) titled "What even is a kernel?". It is an introductory article that ...
Techgenyz

Windows ML: 2026 Updates for GGUF Models and Local AI

Windows ML adds experimental llama.cpp support for GGUF models, a local OpenAI-compatible API, ONNX text generation and new ...
xenospectrum

Windows ML Adds Experimental GGUF Support via llama.cpp, but Not for NPUs

Microsoft's experimental Windows ML update adds a path for running GGUF models. Official documentation and packages show no NPU support, limited generation controls, different distribution ...
HackerNoon

GPU Kernels Explained: The Hidden Reason Your AI Model Runs Slowly

A GPU kernel is the code that runs on the GPU when you call an operation like torch.matmul, as thousands of copies at once.
blog.csdn

用 Devbox 搭建可复现的 PyTorch CUDA 开发环境：basic-example 实战指南

Devbox 通过 Nix 提供即时、可预测的开发环境，而 examples/data_science/pytorch/basic-example正是官方仓库中一个开箱即用的 PyTorch + CUDA ...
GitHub

Augmented Lagrangian block coordinate descent

Augmented Lagrangian block coordinate descent (ALBCD) is a coordination scheme for distributed multidisciplinary design optimization (MDO) problems. To use ALBCD, MDO problems are first decomposed ...
blog.csdn

PyTorch示例代码实战：环境搭建、训练循环与模型保存

本内容遵循CC 4.0 BY-SA版权协议 简介：这是一份《Deep Learning with PyTorch》（2023年版）英文原版PDF样本，由MachineLearningMastery.com创始人Jason Brownlee与作者Adrian Tam联合编写，适合计划系统学习PyTorch深度 ...