English(EN) TitanCore Core-1 – Trillion-parameter LLM training infra in C++/CUDA with ZeRO-3

开源 C++/CUDA 基础设施可训练万亿参数 LLM

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-22 12:07

一位开发者创建了 TitanCore Core-1，这是一个用于训练万亿参数 LLM 的开源基础设施。它使用 C++ 和 CUDA 编写，通过实现 ZeRO-3 FSDP 和融合内核来解决 VRAM 限制。据报道，通过优化内存带宽利用率，这种方法比传统方法快 2.6 倍。 AI

影响能够更有效地训练极大型语言模型，可能降低开发前沿模型的门槛。

排序理由该集群描述了一个用于 LLM 训练的开源基础设施项目的发布，该项目属于研究与开发领域。[lever_c_demoted from research: ic=1 ai=1.0]

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dev.to — LLM tag TIER_1 English(EN) · Sarkar-AGI · 2026-05-22 12:07

TitanCore Core-1 – C++/CUDA 中的万亿参数 LLM 训练基础设施，支持 ZeRO-3

Hi I built TitanCore Core-1, a lightweight core infrastructure (around 75+ files) written in C++ and custom CUDA kernels to address the VRAM bottleneck in trillion-parameter LLM training. By implementing Fully Sharded Data Parallelism (FSDP) via ZeRO-3 and bypass…