DeepSeek
8 pieces on DeepSeek, including 3 step-by-step guides.
Guides
How to Run DeepSeek R1 Locally with Ollama: Full Setup Guide
Install DeepSeek R1 locally using Ollama in under 5 minutes. Covers model variant selection from 1.5B to 671B, visible chain-of-thought reasoning, REST API usage, Python integration, and building a simple RAG application.
Run DeepSeek V4 Flash Locally with llama.cpp (2026)
Run DeepSeek V4 Flash locally with llama.cpp, a GGUF build, one 96GB GPU, and explicit checks for the current experimental support path.
Self-Host DeepSeek V4 with vLLM: 2026 Deployment Guide
Deploy DeepSeek V4 Flash or Pro with vLLM, size the GPU cluster, configure tensor parallelism, and compare self-hosting with current API prices.
News & Analysis
We Planted 20 Wrong Figures for 4 LLM Editors. Here's What Survived
We replayed real edit prompts against Sonnet 4.6, DeepSeek V4 Pro, GPT-5.6 Sol and Gemini 3.1 Pro. Self-reported confidence told us nothing.
DeepSeek-V4.1-Flash: 552B MoE at 890 Bytes per Token
DeepSeek-V4.1-Flash uses a Causal Encoder-Decoder architecture to cut prefill to 8B active params and compress global KV cache to 890 bytes per token.
DeepSeek-V4.1-Flash: 890 Bytes Per Token, 437x Smaller KV Cache
DeepSeek's 552B MoE model cuts global KV cache to 890 bytes per token — 437x below V1 — using CED, CSA2, and FP4 quantization.
Ulanqab's 12.5 GW Bet Puts China's AI Compute Ahead of Stargate
A city of 1.5 million in Inner Mongolia has 12.5 GW of data center commitments — more than OpenAI's Stargate — with 70% pledged in the past year.
DeepSeek Harness v0.1: A Plugin-First MIT-Licensed Agent Framework
DeepSeek releases Harness v0.1 under MIT: a developer-preview agent framework where every capability — models, tools, UI — is a swappable Cordis plugin.