Running a 284B AI Model on Your Desk: Our Real-World DSpark Deployment Log

DSpark: How DeepSeek Made Its Own Serving Stack 60-85% Faster Without Touching Model Quality

DeepSeek-V4-Flash-DSpark — 308.2 tok/s on RTX PRO 6000 Blackwell · 96 GB ×4

DeepSeek open sources DSpark framework to accelerate LLM inference by up to 85%

Chinese AI company DeepSeek has open-sourced DSpark, a new MIT-licensed framework designed to accelerate LLM inference by up to 85%. DSpark

DeepSpec/DSpark_paper.pdf at main · deepseek-ai/DeepSpec

DSpark: A Speculative Decoding Framework Using Semi-Autoregressive Generation and Confidence-Scheduled Verification for LLM Inference Acceleration

DSpark is a speculative decoding framework for Large Language Models (LLMs) that improves inference efficiency by combining semi-autoregress

Technical Implementation of DeepSeek LLM Deployment with Expert Parallelism on 96 H100 GPUs

The article details the technical implementation of deploying DeepSeek, an open-source large language model, across 96 H100 GPUs using advan