#inference
6 posts
GLM 5.2's Emergence Signals Potential AI Inference Margin Compression for Frontier Labs
The release of GLM 5.2, a high-quality open-weight AI model, challenges the profitable inference business of proprietary AI labs. Developers should prepare for shifting AI economics.
Boosting LLM Performance: Understanding Speculative Decoding for Faster Inference
Explore how speculative decoding accelerates Large Language Model inference, reducing latency and computational costs. This technique is crucial for deploying efficient, real-time AI applications.
The Unsustainable Economics of Frontier LLMs: Why High Costs Are Set to Decline
High costs for frontier LLMs are becoming unsustainable for businesses. Learn why model performance plateaus, open-weight alternatives, and hardware advancements will drive down AI inference prices.
OpenAI Unveils 'Jalapeño' Custom Inference Chip, Co-Developed with Broadcom
OpenAI has revealed its first custom inference processor, 'Jalapeño,' developed with Broadcom. This move aims to optimize AI model performance and reduce reliance on Nvidia GPUs.
AI Hardware in 2026: The Quiet Story Behind Cheaper Inference
The cheaper AI everyone is celebrating is partly a hardware story. NVIDIA Cosmos 3 and Intel Xeon 6+ are pushing the cost of running models down, and that changes more than benchmark scores.
Agentic AI Is Moving From Demos to Production, and Inference Is the New Bottleneck
Agentic systems are shifting from chat demos to real task completion, and the binding constraint is no longer model access but inference infrastructure. Here is what changes for teams.