Unsloth AI (@UnslothAI)

NVIDIA와 협업해 LLM 학습 속도를 약 25% 높이는 방법을 공개했다. Packed-sequence 메타데이터 캐싱, 더블 버퍼 체크포인트 재로드, 더 빠른 MoE 라우팅 등 3가지 최적화로 홈 GPU에서도 더 빠르게 모델을 학습하는 가이드를 제공한다.

https://x.com/UnslothAI/status/2052020656527532276

#llmtraining #nvidia #unsloth #moe #gpudevelopment

Unsloth AI (@UnslothAI) on X

We collaborated with NVIDIA to teach you how we made LLM training ~25% faster! 🚀 Learn how 3 optimizations help your home GPU train models faster: 1. Packed-sequence metadata caching 2. Double-buffered checkpoint reloads 3. Faster MoE routing Guide: https://t.co/nwvVfNC8XE

X (formerly Twitter)

🚀 NVIDIA CUDA 13.1 drops major developer productivity update: CUB library now supports single-call API, eliminating duplicate function calls for memory allocation.

✅ Zero performance overhead
✅ PyTorch/TensorFlow-ready

#AdwaitX #CUDA #GPUDevelopment #TechNews #NVIDIA #News
https://www.adwaitx.com/nvidia-cub-single-call-api-cuda-13-1/

NVIDIA Unveils CUB Single-Call API: CUDA 13.1 Upgrade

NVIDIA deploys single-call API for CUB in CUDA 13.1, eliminating two-phase boilerplate. AdwaitX analyzes impact on GPU development efficiency.

AdwaitX News
Samsung Electronics surged over 5% to a record intraday high, fueled by analyst upgrades and optimism over its in-house GPU, as the memory chip supercycle is expected to continue.
#YonhapInfomax #SamsungElectronics #AllTimeHigh #MemorySupercycle #NomuraSecurities #GPUDevelopment #Economics #FinancialMarkets #Banking #Securities #Bonds #StockMarket
https://en.infomaxai.com/news/articleView.html?idxno=97272
Samsung Electronics Hits All-Time Intraday High at 116,900 Won, Surges Over 5%

Samsung Electronics surged over 5% to a record intraday high, fueled by analyst upgrades and optimism over its in-house GPU, as the memory chip supercycle is expected to continue.

Yonhap Infomax
Dynamic Register Allocation on AMD's RDNA 4 GPU Architecture

Modern GPUs often make a difficult tradeoff between occupancy (active thread count) and register count available to each thread.

Chips and Cheese