Tag
DeepSeek
DeepSeek marks a shift in open-weight LLM competition, where inference efficiency, KV cache behavior, GPU memory, and cloud deployment cost matter as much as raw model size. It also feeds into broader questions about NVIDIA, hardware supply, and AI infrastructure pricing.
10 articles
DeepSeek’s low-cost chatbot changed AI pricing
5 things DeepSeek changed: free access, low API prices, open weights, math tools, and AI market pressure.
China’s AI bet: open-source, efficiency, global sales
DeepSeek’s low-cost rise shows China is building AI around efficiency, open models, and overseas demand, not frontier-model supremacy.
China’s Open-Source AI Play Is Pressuring U.S. Labs
Tiezhen Wang says Chinese open-source AI is lowering costs, speeding adoption, and forcing U.S. labs to rethink their closed model.
10 open source LLMs that run locally in 2026
10 open source LLMs now rival proprietary models, with 89% LiveCodeBench and 96% AIME 2025 scores.
Chinese Open-Source AI Models Now Set the Pace
Chinese labs now lead open-source AI, and Western teams should treat that as the new baseline.
5 steps to connect Codex with DeepSeek
5 steps to route Codex through DeepSeek with CCX and CC Switch, plus the setup details that make it work.
Why Claude Opus 4.8 Is Not the Big Story
Claude Opus 4.8 is less important as a benchmark event than as a sign that model releases are now product updates, not breakthroughs.
Chinese AI models are winning on tokens and price
JPMorgan data shows Chinese AI models taking over OpenRouter usage in 2026, driven by lower prices, open weights, and agentic workflows.
Will NVIDIA Stock Recover After DeepSeek?
DeepSeek shook AI spending assumptions, but NVIDIA still controls the GPU supply chain. Here’s what the numbers say about a rebound.
NVIDIA B300 vs H200: Specs and DeepSeek Perf
B300 packs 288GB HBM3e and up to 8TB/s bandwidth. Here’s how it compares with H200 for DeepSeek inference and cloud costs.