Cost Math for Vector Databases at Scale: Storage, Compute, and Egress
Per-vector cost economics matter at scale. The 2026 numbers for storage, compute, egress, and how to model TCO.
7 min read
Agentic AI & LLMs
Agentic AI & LLMs archive page 244 of 631
Agentic AI & LLMs
Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
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Cost of Compute 2026: H200, B200, MI325X, and the TPU v6 Trendline
Per-FLOP and per-token cost trends across NVIDIA H200/B200, AMD MI325X, and Google TPU v6 in 2026 — and what the curve says about 2027.
8 min read
Custom CUDA Kernels via Triton for AI Workloads
When custom CUDA via Triton beats stock PyTorch ops in 2026 — the patterns, the tooling, and what production teams have shipped.
7 min read
Data Center Power Constraints: Why AI Capex Is Now a Grid Problem
AI training is hitting grid limits in 2026. The siting battles, the SMR experiments, and how power constraints are reshaping AI capex.
8 min read
Decision-Making in AI Agents: Bayesian, Utility, and Heuristic Approaches
How production AI agents actually decide in 2026 — from cheap heuristics to Bayesian inference to utility-based scoring, and where each one wins.
8 min read
DeepSeek V4 and the Chinese Open-Model Ecosystem in 2026
DeepSeek V4 anchors a thriving Chinese open-model ecosystem. Qwen, Kimi, Yi, GLM — what each one does and how the ecosystem competes.
8 min read
Designing Agents for High-Stakes Decisions: Confidence Calibration in Production
When an AI agent is wrong on a high-stakes call, calibration matters more than accuracy. The 2026 calibration techniques and how to operationalize them.
8 min read
Diffusion LLMs Arrive: LLaDA, Mercury, and the End of Left-to-Right Generation
Diffusion-based LLMs like LLaDA and Mercury generate text in parallel rather than left-to-right. The 2026 production picture.
8 min read
Distributed Training Patterns in PyTorch 2026: FSDP2, DeepSpeed, Megatron
Three distributed-training options for PyTorch in 2026 compared on ergonomics, scaling, and where each one wins.
8 min read