Platforms
Speculative Decoding: The Inference Trick Behind Faster Model Responses
How speculative decoding pairs a small draft model with a large one to cut generation latency, and when it actually delivers a real speedup.
Platforms
12 articlesThe infrastructure and platform plays underneath the model layer.
12 articles
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PlatformsPrompt Caching Explained: Cutting Inference Costs Without Cutting Quality
How prompt caching actually works at the API level, when it saves real money, and the setup mistakes that silently disable it.
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PlatformsLocal AI Inference Servers Compared: Ollama, LM Studio, and the Rest
How the main local inference tools actually differ, what hardware really limits you, and when running models locally beats calling a hosted API.
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PlatformsAI Answer Engines Cite Three Sources. How to Be One
Retrievable, parseable, quotable — in that order. Plus why your analytics will never show you a citation.
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PlatformsGPU Cloud Platforms in 2026: Three Tiers, Three Tradeoffs
Storage, egress, and idle time routinely beat the hourly rate. Plus why spot capacity is wrong for serving.
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PlatformsLLM Gateways Reviewed: Adopt One at Your Second Provider
Routing, failover, caching, and the spend attribution nobody else provides — against a new single point of failure.
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PlatformsInference Providers Compared: Price Is the Wrong First Question
Rate limits and p99 latency decide more deployments than per-token pricing. Plus why identical weights serve differently.
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PlatformsOpen-Source vs. Managed Vector Databases: Picking a Backend for RAG
What actually changes between running your own vector database and paying for a managed one. Model Drop breaks down what actually matters here.
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PlatformsAI Dev Platforms for Small Teams: What's Actually Worth Paying For
A roundup of platforms that bundle model access, hosting, and tooling for teams without a dedicated ML infrastructure hire.
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PlatformsServerless GPU Platforms for Inference: Reviewed
How pay-per-second GPU platforms actually perform on cold starts, scaling, and cost compared to reserved capacity.
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PlatformsLLM API Pricing in 2026: The Three-Tier Ladder Every Lab Runs
Frontier to budget spans three orders of magnitude. Picking the right rung matters more than picking the right vendor.
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PlatformsSelf-Hosting vs API Inference: Utilization Decides It
Free weights are not free inference. The cost case lives on a utilization curve, and residency is a better reason anyway.