An Opinionated Spreadsheet for LLM Infrastructure

What it does Awesome-LLM-Resources-List is a curated collection of comparison tables covering the practical logistics of applied AI engineering. It catalogs serverless hosting platforms for private and open-source models, off-the-shelf API providers, local inference frameworks, and serving stacks like vLLM and TGI. Each entry is tagged with concrete details—scale-down latency, free-tier limits, per-request fees, and whether a one-click deploy exists—turning vendor hunting into a skimmable exercise.

The interesting bit Most “awesome” lists are just link dumps with emoji; this one treats infrastructure selection like a procurement spreadsheet, complete with pricing units and concurrency limits. The author even includes helper scripts for platforms like Modal, nudging it slightly toward a living toolkit rather than a static index.

Key highlights

• Side-by-side comparison of eight serverless hosting options including scale-down times, dev experience ratings, and free-tier values
• CPU compute pricing breakdown between AWS Lambda and Modal, down to the per-GB-second and per-request fees
• Separate tables for local inference tools (llama.cpp, Ollama, LMStudio), API aggregators (Groq, Together.ai, Bedrock), and serving frameworks (TensorRT-LLM, Ray Serve)
• GitHub follower and star badges embedded directly in the tables for quick social proof
• Explicitly marked as work in progress, with some sections still expanding

Caveats

• The README is truncated in several sections (notably the Web Chat UIs table), so the list is visibly incomplete
• Dev experience ratings and some metadata are the author’s subjective assessments, not user surveys
• Several “N/A” entries and missing release dates suggest the sheet is still being backfilled

Verdict Worth bookmarking if you are currently evaluating infrastructure for an LLM product and need a quick filter for cost, cold-start latency, or open-source status. Skip it if you are looking for deep architectural benchmarks or a finished reference; this is a working draft, not an encyclopedia.