DeepSeek
4 published articles
Systems optimization
DSpark shows why fast AI inference is a scheduling problem, not a model trick
DeepSeek's DSpark paper reveals that naive speculative decoding degrades throughput under high concurrency. Its solution, confidence-scheduled verification, adapts block length per request and shifts the Pareto frontier of serving performance.
2026-07-12
Artificial Intelligence
DeepSeek-OCR 2 Brings Visual Causal Flow to Open-Source Document Understanding
DeepSeek-OCR 2 introduces Visual Causal Flow for human-like visual encoding. Now open-source on GitHub, the model supports vLLM and Transformers, dynamic resolution (up to 1,216 visual tokens), and document-to-markdown conversion.
2026-07-09
API economics
DeepSeek V4 drops in July with a pricing shift that will hurt if you code when the sun is up
DeepSeek V4 arrives mid-July with peak-load pricing. The API costs double during business hours, up to $1.74 per million output tokens, but off-peak rates can be a steal for cache-hit workloads.
2026-07-09
Artificial Intelligence
DeepSeek's new model makes efficiency the AI arms race front line
DeepSeek has released a new LLM that sharpens its competition with major AI labs by betting on efficiency over brute force. The model aims to offer strong performance with optimized resource usage, reflecting a broader industry pivot toward cost-effective AI.
2026-06-30