AI inference reaches $350b by 2027, eclipsing databases at $190b and turning every application into an inference reseller.

Antseed Foundation raises $2.4M led by Spark Capital to launch open global inference markets on Base, enabling peer-to-peer AI model trading.

NEAR hits 500,000+ staked tokens for confidential AI inference with 40+ models from Anthropic, OpenAI and Google despite $2.31 price correction.

OpenRouter GPT-5.6 Terra and Luna discount drove token usage up 13.8x, confirming Jevons paradox and rising AI inference demand for data centers.

Leopold Aschenbrenner fund loses $600M on BE, SNDK, CORZ, IREN, NBIS positions but remains up over 1,000% with AI inference and Bitcoin miner thesis intact.

Modal DFlash speculator delivers 67% higher throughput than MTP for Inkling on SGLang, accelerating AI inference speed optimization.

BitTorrent rolls out BTTInferGrid to convert idle GPUs into decentralized AI inference grid, with BTT lending added on CoinRabbit.

Tether AI upgrades QVAC SDK with TurboQuant, delivering data center-sized memory for local AI inference on everyday devices.

According to Richard Seroter, the introduction of load-aware and context-aware routing in the GKE Inference Gateway has enabled Google Cloud's Vertex AI, which operates on GKE, to achieve a 35% reduction in latency. This improvement significantly enhances performance compared to standard load balancing, offering users faster and more efficient AI inference capabilities.

According to @gdb, inference is the most valuable emerging software category and compute will increasingly be spent drawing samples from models, signaling a shift of compute budgets toward LLM inference workloads; source: @gdb on X, Nov 17, 2025. According to @gdb, OpenAI is inviting candidates to email gdb@openai.com for its inference team and to detail exceptional team accomplishments plus domain expertise in inference or large-scale system optimization; source: @gdb on X, Nov 17, 2025. According to @gdb, priority optimization areas include deeply understanding and optimizing the model forward pass, system-level efficiencies such as speculative decoding, KV offloading, and workload-aware load balancing, and managing and making observable a massive fleet at scale; source: @gdb on X, Nov 17, 2025. According to @gdb, this explicit emphasis on inference scaling provides a concrete data point for traders tracking AI infrastructure demand and its implications for serving efficiency and throughput in LLM inference; source: @gdb on X, Nov 17, 2025.