Benchmarking Edge Silicon: NPU vs GPU Inference
NPUs promise efficient edge LLM inference, but how do they actually compare to discrete GPUs under real production workloads?
Tag: Inference
The Inference Cost Wall: When Fine-Tuning Beats Frontier API Calls
The inference cost wall in AI: analyzing the inflection point where running distilled models on neocloud infrastructure beats paying per-token for frontier models.
· StrategyInvestment Thesis for AI: Valuing Intelligence in the Age of Inference Arbitrage
Investment thesis for AI companies in 2026: analyzing how inference arbitrage, infrastructure moats, and open weights reshape valuation models for AI startups and public companies.
Serverless Inference: Conquering the 5-Second Cold Start
The infrastructure hacks required to make scale-to-zero LLM inference viable for production latency.
LiteRT-LM Deep Dive: Engineering LLM Inference for the Edge
How Google's LiteRT-LM framework handles session cloning and KV-cache management to run models like Gemini Nano natively on-device without exploding your memory.
Semantic Caching at Scale: Vector Embeddings for 5x Latency Reduction
Moving beyond exact-match caching for repetitive zero-shot inference workloads. Learn how to architect semantic caching to slash latency and compute costs.