AirLLM vs Semantic Kernel

A side-by-side comparison of features, pricing, and characteristics.

AirLLM

Open-source Python library that runs very large language models on low-memory GPUs by streaming model layers one at a time.

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Semantic Kernel

Semantic Kernel is an open-source SDK that lets you easily build agents that can call your existing code.

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AttributeAirLLMSemantic Kernel
Pricing typeFreeFree
Korean supportNoOfficial
PlatformsLinux, macOS, CUDA-enabled NVIDIA GPUs, Apple SiliconWeb, Desktop, API, CLI
Open sourceYesYes
API available-Available
SDK-Available
LLM-based-Yes
Multimodal-Yes
AI modelLlama, Qwen, DeepSeek, Mistral, Mixtral, Phi, GemmaGPT, Llama, Mistral
GitHub Stars33.8K-
VendorAnima AI LLCMicrosoft
CategoryDeveloper ToolsDeveloper Tools
DetailsView View

AirLLM key features

  • Reducing GPU memory usage through layer-wise model streaming
  • Supporting inference of 70B-class models on a single 4GB GPU
  • AutoModel interface based on Hugging Face model IDs
  • 4-bit and 8-bit block-wise model compression
  • Supporting CPU inference and Apple Silicon macOS
  • Supporting various model families including Llama, Qwen, DeepSeek, and Mistral

Semantic Kernel key features

  • Plugin System
  • Automatic Planners
  • Memory & Vector DB Connectors
  • Multi-LLM Support
  • C#, Python, Java SDKs
  • RAG Architecture Support