Compilers and runtimes
Turning a model into something faster on particular hardware: graph compilation, kernel generation, quantisation toolchains. The runtime that then serves it is an inference engine.
This category is below the depth bar — it holds 10 listings where we would want 12 before trusting a shortlist, so it is excluded from search engines and says so here rather than quietly.
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LICENCE · 4 NOT READ
DeepSpeedDeepSpeed library1043,091
tensorrt-llmTensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs.114,686
flashinferIntroduce Techniques to accelerate Large Language Model Deployment6,381
cactusQuantization, kernels, runtime and inference engine for mobiles, wearables, smart home and robots.6,003
envd🏕️ Reproducible development environment for humans and agents2,229
kitopsAn open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.1,413
TurboOCRTurboOCR, >200 img/s OmnidocBench. TensorRT FP16, PP-OCRv6, HTTP + gRPC1,065AannotaterbA Ruby Gem that adds annotations to your Rails models and route files.617
jetstreamJetStream is a throughput and memory optimized engine for LLM inference on XLA devices, starting with TPUs (and GPUs in future -- PRs welcome).457BbrickAuto-generate models, views, controllers, and routes in a Rails app based on database structure388SORTED BY ONE STATED COLUMN · USED BY = LISTED PRODUCTS DEPENDING ON IT, IN THIS DIRECTORY — NOT A POPULARITY FIGURE · NO OVERALL SCORE AND NO RANK COLUMN, BECAUSE BLENDING ADOPTION, STARS AND DOWNLOADS NEEDS WEIGHTS, AND WEIGHTS ARE AN OPINION PRESENTED AS ARITHMETIC
Cite this page
The count and its date sit inside the citation, because “Compilers and runtimes” without a date is a claim that quietly goes wrong as the category fills.
infratoapp, “Compilers and runtimes — Inference / Serving”, read 28 October 2026. 10 listed products. https://www.infratoapp.com/layers/inference/compilers
No overall score, and no rank column
Blending adoption, stars and downloads needs weights, and weights are an opinion presented as arithmetic — so this table sorts by one stated column at a time and shows which. This view holds no billing column and joins no billing table: a sponsor cannot appear higher, and the signals meter is a row’s own confidence, never a score you can sort on.