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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

Enhancing Financial Decisions with GPU-Accelerated Portfolio Optimization

Terrill Dicki     Dec 02, 2025

#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
Optimizing Large Language Models with NVIDIA's TensorRT: Pruning and Distillation Explained

Timothy Morano     Oct 07, 2025

#NVIDIA #TENSORRT #LARGE LANGUAGE MODELS #MODEL OPTIMIZATION
Enhancing CUDA Kernel Performance with Shared Memory Register Spilling

Darius Baruo     Aug 28, 2025

#CUDA #PERFORMANCE OPTIMIZATION #GPU COMPUTING
Enhancing AI Model Efficiency: Torch-TensorRT Speeds Up PyTorch Inference

Timothy Morano     Jul 25, 2025

#TORCH-TENSORRT #PYTORCH #AI INFERENCE #MODEL OPTIMIZATION
Exploring Handwritten PTX Code for GPU Optimization in CUDA

Luisa Crawford     Jul 03, 2025

#NVIDIA #CUDA #PTX #GPU OPTIMIZATION
NVIDIA's Open Source cuOpt Revolutionizes Decision Optimization

James Ding     Jun 11, 2025

#NVIDIA #CUOPT #OPEN SOURCE #OPTIMIZATION
NVIDIA Unveils Advanced Optimization Techniques for LLM Training on Grace Hopper

Rebeca Moen     May 29, 2025

#NVIDIA #LLM #GPU OPTIMIZATION
Infleqtion Enhances Portfolio Optimization with Q-CHOP via NVIDIA's CUDA-Q

James Ding     May 23, 2025

#QUANTUM COMPUTING #PORTFOLIO OPTIMIZATION #NVIDIA #CUDA-Q
NVIDIA Enhances Path Tracing in Indiana Jones Game with Opacity MicroMaps and BLAS Compaction

Caroline Bishop     May 16, 2025

#NVIDIA #PATH TRACING #GAMING #GRAPHICS OPTIMIZATION



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