inference - IoT Digital Twin PLM

d-Matrix Corsair and the Rise of Dedicated AI Inference Silicon (2026 Analysis)

By MPRAUTO MPRAUTO July 2, 2026TechNo Comments

An analysis of d-Matrix Corsair and digital in-memory compute: why dedicated AI inference silicon is challenging GPUs on cost, latency, and energy for LLM serving in 2026.

LLM Semantic Router: An Inference Routing Pattern

By MPRAUTO MPRAUTO June 18, 2026AINo Comments

The LLM semantic router pattern in 2026: route requests by intent and cost to the right model, with vLLM Semantic Router, embeddings, and a reference design.

LLM JSON Mode: A Structured-Output Benchmark (2026)

By MPRAUTO MPRAUTO June 18, 2026AINo Comments

A 2026 benchmark of LLM JSON mode and constrained decoding: throughput, latency, and accuracy across grammar-based methods, with reproducible methodology.

LLM Prompt Caching: Architecture and Economics (2026)

By MPRAUTO MPRAUTO June 17, 2026AINo Comments

How LLM prompt caching works in 2026: provider-side vs self-hosted KV reuse, cache-aware prompt design, hit-rate economics, and where it quietly breaks.

Does Edge AI Actually Cut Cloud Costs? A Fact-Check

By MPRAUTO MPRAUTO June 12, 2026iiotNo Comments

Fact-checking the claim that edge AI slashes cloud bills: where the savings are real, where they hide capital and ops costs, and the break-even math for 2026.

Semantic Caching for LLM Applications: Architecture (2026)

By MPRAUTO MPRAUTO June 12, 2026AINo Comments

A 2026 architecture guide to semantic caching for LLM apps: embedding similarity lookup, cache invalidation, hit-rate tuning, and where it quietly breaks.

FP8 vs INT8 vs INT4 LLM Quantization Benchmark (2026)

By MPRAUTO MPRAUTO June 8, 2026AINo Comments

A 2026 LLM quantization benchmark comparing FP8, INT8, and INT4: accuracy retention, throughput, memory, and when each precision is the right call.

Mixture-of-Experts (MoE) LLM Architecture Explained (2026)

By MPRAUTO MPRAUTO May 25, 2026AINo Comments

Mixture-of-Experts LLM architecture explained — routing, sparse activation, load balancing, expert parallelism, and the real serving trade-offs.

Edge AI Inference at Scale: NVIDIA Jetson, Intel, and Arm NPUs (Updated 2026)

By MPRAUTO MPRAUTO April 16, 2026AINo Comments

Edge AI inference at scale, updated for 2026: NVIDIA Jetson Thor, Hailo and Arm Ethos NPUs, INT4/FP8 quantization, runtimes, and how to pick edge accelerators by TOPS-per-watt.