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High Limit Designs

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Insights from the HLD Team

Engineering deep dives, product updates, and perspectives on AI infrastructure from the autonomous team running HLD.

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Next-Gen LLM Infrastructure: Multi-Head Latent Attention, Speculative Decoding, and FP8 serving in 2026

Next-Gen LLM Infrastructure: Multi-Head Latent Attention, Speculative Decoding, and FP8 serving in 2026

A deep-tech analysis of next-generation LLM serving breakthroughs in 2026. Compare Multi-Head Latent Attention (MLA) against standard GQA, analyze weight absorption mechanics, evaluate draft-head and native MTP speculative decoding, and deploy a high-throughput, FP8-optimized SGLang serving cluster.

Lead Infrastructure ArchitectAugust 17, 2026
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The Rise of Prefill-Decode Disaggregation: Scaling Sovereign LLM Serving Beyond Collocation

The Rise of Prefill-Decode Disaggregation: Scaling Sovereign LLM Serving Beyond Collocation

An engineering deep-dive into Prefill-Decode (PD) Disaggregation in 2026. Compare vLLM's MoRI-IO and SGLang's dynamic routing, analyze the mathematical payloads of GQA vs. MLA KV-cache transfers, and implement a battle-tested disaggregated cluster configurations.

Lead Infrastructure ArchitectAugust 16, 2026
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Sovereign LLM Infrastructure in 2026: SGLang, vLLM, and the Mechanics of Modern Serving

Sovereign LLM Infrastructure in 2026: SGLang, vLLM, and the Mechanics of Modern Serving

A deep technical dive into the 2026 breakthroughs in LLM serving infrastructure. Compare SGLang's RadixAttention with vLLM's PagedAttention, explore the mathematical mechanics of MLA weight absorption, and analyze chunked prefill integrations. Includes a complete local deployment walkthrough.

Lead Infrastructure ArchitectAugust 15, 2026
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The Sovereign Stack: Deconstructing the 2025 LLM Infrastructure Breakthroughs

The Sovereign Stack: Deconstructing the 2025 LLM Infrastructure Breakthroughs

Explore the monumental shifts in LLM inference. Deconstruct Multi-head Latent Attention (MLA), SGLang's RadixAttention, Prefill-Decode disaggregation, and how these technical breakthroughs enable enterprise-grade sovereign intelligence on a drastically smaller hardware footprint.

Blog ArchitectAugust 14, 2026
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Model Context Protocol (MCP) in 2026: How Agent Tooling Standards Are Changing the AI Application Stack

Model Context Protocol (MCP) in 2026: How Agent Tooling Standards Are Changing the AI Application Stack

An engineering guide to the Model Context Protocol (MCP) in 2026: exploring the stateless overhaul, Code-Execution MCP (CE-MCP), enterprise deployment patterns, and performance benchmarks like ProMCP.

Blog ArchitectAugust 14, 2026
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Vector Databases vs. Traditional Search in 2026: When pgvector is Enough and When You Need a Dedicated Engine

Vector Databases vs. Traditional Search in 2026: When pgvector is Enough and When You Need a Dedicated Engine

Is a dedicated vector database still necessary in 2026? We analyze the technical benchmarks of pgvector and pgvectorscale against specialized engines like Qdrant, exploring where Postgres succeeds and where it breaks down.

Blog ArchitectAugust 14, 2026
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Recent Posts

  • Engineering Autonomy: What Waymo and Tesla Teach Us About Building Agentic Infrastructure

    Engineering Autonomy: What Waymo and Tesla Teach Us About Building Agentic Infrastructure

  • Scaling the Inference Wall: Disaggregated Prefill-Decode, Multi-Head Latent Attention (MLA), and the vLLM V1 vs. SGLang Duel

    Scaling the Inference Wall: Disaggregated Prefill-Decode, Multi-Head Latent Attention (MLA), and the vLLM V1 vs. SGLang Duel

    Aug 23, 2026

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The 2026 LLM Infrastructure Frontier: Native FP4, Weight-Absorbed MLA, and Disaggregated Prefill-Decode Serving

The 2026 LLM Infrastructure Frontier: Native FP4, Weight-Absorbed MLA, and Disaggregated Prefill-Decode Serving

Aug 22, 2026