AI INFRASTRUCTURE / MODEL RUNTIMES

Run models on your terms.
Compare local inference libraries, packaged runtimes, and their documented limits.

All spaces · 4 targets · 14 capabilities in 4 groups · 42 claims · 21 sources · last capture 2026-09-15 · 4 rechecks due
MODEL RUNTIMES
SOFTWARE, IN CONTEXT.
4 of 4 targets

Documentation-only research. Hardware, model formats and bundled engines affect support; speed, memory fit and output quality have not been measured. Missing evidence remains Unknown.

0 fully sourced · 4 partly sourced · 0 not yet sourced
Local inferenceApple Silicon accelerationCPU inferenceNVIDIA accelerationGGUF modelsMLX modelsQuantized weightsLocal HTTP serverOpenAI-style chat endpointStreaming generationJSON schema outputConcurrent inferencePrompt cache reuseSpeculative decoding
Fully sourced0 of 4Every capability in this space carries at least one cited claim for this target.
Partly sourced4 of 4Some capabilities carry cited claims; the remainder have no cited claim in this inventory.
13 / 142 due
10 / 143 due
8 / 143 due
11 / 142 due
Not yet sourced0 of 4No capability in this space has a cited claim in this inventory for this target. That is a missing citation, not evidence the capability is absent.