Last updated 08-12-2026
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ggml.ai
ggml runs large language and speech models on everyday CPUs and GPUs through a compact C tensor library built for on-device inference. ML engineers and app developers adopt it via llama.cpp and whisper.cpp when they want LLaMA or Whisper workloads without cloud-only dependencies.
Frameworks like PyTorch optimize for training clusters and heavy runtimes. ggml keeps the core library minimal with zero runtime memory allocations, no third-party dependencies, and integer quantization so llama.cpp can serve Meta LLaMA weights on laptops and Apple Silicon.
The ggml.ai company was founded in 2023 by Georgi Gerganov to support the library and was acquired by Hugging Face in 2026. The core ggml project stays MIT licensed with open development on GitHub.
Powers llama.cpp for Meta LLaMA inference and whisper.cpp for OpenAI Whisper speech models
Written in C with zero runtime memory allocations during inference
Integer quantization support for smaller models on commodity hardware
No third-party dependencies in the core tensor library
Cross-platform low-level implementation with broad hardware support
MIT licensed open-core library with public development on GitHub
Powers widely used llama.cpp and whisper.cpp inference stacks
Minimal C library with no third-party dependencies
MIT licensed with open GitHub development
Integer quantization for efficient commodity hardware inference
Low-level C API requires more engineering than hosted LLM APIs
No managed cloud product on ggml.ai itself
Future commercial extensions may diverge from the open-core MIT base
What is ggml.ai?
ggml.ai supports ggml, a tensor library for machine learning that enables large models on commodity hardware. It powers llama.cpp and whisper.cpp for on-device LLM and speech inference.
Is ggml.ai free to use?
Yes, ggml is freely available under the MIT license on GitHub. The ggml.ai homepage states the library and related projects are open core with public development.
What projects use ggml?
ggml powers llama.cpp for Meta LLaMA model inference and whisper.cpp for OpenAI Whisper speech-to-text. Both projects are linked directly from the ggml.ai homepage.
Who founded ggml.ai?
ggml.ai was founded in 2023 by Georgi Gerganov to support ggml development. Nat Friedman and Daniel Gross provided pre-seed funding, and Hugging Face acquired the company in 2026.
How can I contribute to ggml?
Contributors join development through the ggml-org repositories on GitHub. The homepage invites open contributions and describes the project as minimal, open core, and MIT licensed.
What hardware does ggml target?
ggml targets commodity hardware with a low-level cross-platform implementation, integer quantization, and broad hardware support. It is designed for edge inference rather than datacenter-only deployments.