DEEPSEEK

DeepSeek is an AI company and a family of large language models based in Hangzhou, China. It was founded in 2023 and funded by High-Flyer, a well - known quantitative asset management giant. DeepSeek is dedicated to developing advanced large language models and related technologies. It has released several models, including DeepSeek LLM, DeepSeek Coder, DeepSeekMath, and DeepSeek - VL. The latest version, DeepSeek - V3, which was launched in December 2024, has 67.1 billion parameters and was trained on a dataset of 14.8 trillion tokens. It uses FP8 training and open - sources the native FP8 weights. Benchmark tests show that it outperforms Llama 3.1 and Qwen 2.5 while matching GPT - 4O and Claude 3.5 Sonnet. In addition, DeepSeek - R1, which was officially released on January 20, 2025, performs on a par with OpenAI O1 in terms of mathematics, code, and natural language reasoning tasks. DeepSeek's models have a wide range of applications, such as chat and coding scenarios, multilingual automatic translation, image generation, and AI painting. With their high performance and low cost, DeepSeek's models have quickly gained popularity. For example, on February 2, 2025, the DeepSeek app climbed to the top of the download charts in 140 countries on the Apple App Store and also topped the Android Play Store in the United States

deepseek

NVIDIA's NCCL 2.24 Enhances Networking Reliability and Observability

NVIDIA's latest NCCL 2.24 release introduces new features to enhance multi-GPU and multinode communication, including RAS subsystem, NIC Fusion, and FP8 support, optimizing deep learning training.

by Joerg Hiller
Mar 14, 2025

deepseek

NVIDIA Unveils Enhanced Features in NCCL 2.23 for Improved GPU Communication

NVIDIA's NCCL 2.23 release introduces a new scaling algorithm, accelerated initialization, and a profiler plugin API, optimizing inter-GPU and multinode communication for AI and HPC applications.

by Ted Hisokawa
Jan 31, 2025

deepseek

NVIDIA Unveils NCCL 2.22 with Enhanced Memory Efficiency and Faster Initialization

NVIDIA introduces NCCL 2.22, focusing on memory efficiency, faster initialization, and cost estimation for improved HPC and AI applications.

by Caroline Bishop
Sep 21, 2024

DEEPSEEK

NVIDIA's NCCL 2.24 Enhances Networking Reliability and Observability

NVIDIA Unveils Enhanced Features in NCCL 2.23 for Improved GPU Communication

NVIDIA Unveils NCCL 2.22 with Enhanced Memory Efficiency and Faster Initialization

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