The Chip Stock Behind Nvidia's AI Servers Just Landed on the Nasdaq

To this end, SK Hynix will develop memory for Nvidia's Vera Rubin AI platforms, its Vera CPUs, Jetson Thor robotic platforms, ...

AI Data Center Spending Is Outpacing Every Forecast on Wall Street. These 2 Stocks Are the Best Pick-and-Shovel Plays.

That was supposed to account for all the monumental spending on artificial intelligence(AI) infrastructure. But even after ...

Speedier type checks in TypeScript 7.0 as first stable Go release ships

The Microsoft-led TypeScript 7.0 features an order-of-magnitude speed boost, a victory not only for TypeScript itself but ...
GitHub

RMM: RAPIDS Memory Manager

Achieving optimal performance in GPU-centric workflows frequently requires customizing how host and device memory are allocated. For example, using "pinned" host memory for asynchronous host <-> ...
InfoWorld

The best new features in Python 3.15

Highlights of Python 3.15, now available in beta, include lazy imports, faster JITs, better error messages, and smarter profiling. The first full beta of Python 3.15 ...
marktechpost

A Coding Implementation on kvcached for Elastic KV Cache Memory, Bursty LLM Serving, and Multi-Model GPU Sharing

In this tutorial, we explore kvcached, a dynamic KV-cache implementation on top of vLLM, to understand how dynamic KV-cache allocation transforms GPU memory usage for large language models. We begin ...
InfoQ

NVIDIA Dynamo Addresses Multi-Node LLM Inference Challenges

Serving Large Language Models (LLMs) at scale is complex. Modern LLMs now exceed the memory and compute capacity of a single GPU or even a single multi-GPU node. As a result, inference workloads for ...