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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

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#NVIDIA #PORTFOLIO OPTIMIZATION #GPU #FINANCIAL TECHNOLOGY
Together AI Sets New Benchmark with Fastest Inference for Open-Source Models

Felix Pinkston     Dec 02, 2025

#AI #OPEN-SOURCE MODELS #GPU OPTIMIZATION #INFERENCE SPEED
Black Forest Labs Launches FLUX.2 Models Optimized for NVIDIA RTX GPUs

Alvin Lang     Nov 26, 2025

#NVIDIA #AI MODELS #FLUX.2 #RTX GPUS
Enhancing GPU Cluster Efficiency with NVIDIA's Monitoring Technology

Tony Kim     Nov 26, 2025

#NVIDIA #GPU CLUSTERS #HIGH-PERFORMANCE COMPUTING #DATA CENTER MONITORING
NVIDIA Revolutionizes Enterprise Data with GPU-Accelerated AI Storage

Felix Pinkston     Nov 19, 2025

#NVIDIA #AI DATA PLATFORM #GPU ACCELERATION
Boosting Python Performance: CuTe DSL's Impact on CUTLASS C++

Felix Pinkston     Nov 14, 2025

#NVIDIA #CUTE DSL #CUTLASS #GPU PERFORMANCE
NVIDIA NCCL 2.28 Revolutionizes GPU Communication with New Device API

Rebeca Moen     Nov 11, 2025

#NVIDIA #NCCL #GPU #TECHNOLOGY
Enhancing XGBoost Model Training with GPU-Acceleration Using Polars DataFrames

Peter Zhang     Nov 11, 2025

#XGBOOST #POLARS #GPU ACCELERATION #DATAFRAMES
NVIDIA Introduces Interactive AI Agent for Enhanced Machine Learning Efficiency

Rongchai Wang     Nov 07, 2025

#AI #MACHINE LEARNING #NVIDIA #GPU
NVIDIA's cuVS Boosts Faiss Vector Search Efficiency with GPU Acceleration

Rebeca Moen     Nov 07, 2025

#NVIDIA #GPU ACCELERATION #VECTOR SEARCH #FAISS



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