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LLM platforms

A collection of 5 posts
Redis vs. Purpose-Built Vector Memory Stores for Per-Tenant Agent State: Which Architecture Survives at Scale?
multi-tenant LLM

Redis vs. Purpose-Built Vector Memory Stores for Per-Tenant Agent State: Which Architecture Survives at Scale?

There is a quiet architectural crisis unfolding inside every serious multi-tenant LLM platform right now. As agentic AI systems move from single-session demos into persistent, cross-session workflows serving thousands of tenants simultaneously, the question of where and how you store per-tenant agent memory has shifted from an engineering footnote to
10 min read
How the March 2026 Model Release Wave Broke Per-Tenant Model Selection Logic (and the Dynamic Capability Fingerprinting Architecture You Need to Survive the Next One)
LLM platforms

How the March 2026 Model Release Wave Broke Per-Tenant Model Selection Logic (and the Dynamic Capability Fingerprinting Architecture You Need to Survive the Next One)

In the span of roughly three weeks this past March 2026, the AI industry did something it had never quite managed before: it released more than a dozen significant large language models simultaneously. Not sequentially. Not in a polite, one-per-month cadence that backend teams could absorb. All at once, in
13 min read
7 Predictions for How the Agentic AI Wave of March 2026 Will Force Backend Engineers to Rearchitect Per-Tenant Model Routing in Multi-Tenant LLM Platforms
agentic AI

7 Predictions for How the Agentic AI Wave of March 2026 Will Force Backend Engineers to Rearchitect Per-Tenant Model Routing in Multi-Tenant LLM Platforms

Something significant shifted in the first quarter of 2026. NVIDIA's GTC conference in March didn't just showcase faster silicon; it effectively announced the era of production-grade agentic AI. Paired with the relentless proliferation of open-weight models from labs like Meta, Mistral, Alibaba, and a growing cohort
8 min read
How to Build a Per-Tenant AI Agent Rollback and State Snapshot Pipeline for Multi-Tenant LLM Platforms When Upstream Model Provider Outages Force Emergency Failover
LLM platforms

How to Build a Per-Tenant AI Agent Rollback and State Snapshot Pipeline for Multi-Tenant LLM Platforms When Upstream Model Provider Outages Force Emergency Failover

It happened again. At 2:47 AM on a Tuesday, your on-call engineer gets paged. A major upstream model provider is down. Not degraded. Down. And now hundreds of tenant AI agents, mid-conversation, mid-workflow, mid-tool-call, are frozen in place. Some tenants have enterprise SLAs. Some are running autonomous agents that
12 min read