ggml
Agent31 out of 100, Below median. Agent Readiness. Open the scores section.Agent Readiness: 31/100. Below median. Measured by StartupHub.ai. Median 41.Trust51 out of 100, Below median. Data Trust. Open the scores section.Data Trust: 51/100. Below median. Measured by StartupHub.ai. Median 61.A C/C++ tensor library for efficient machine learning inference on consumer hardware.
About
ggml.ai is a company founded to support the development of ggml, a tensor library for machine learning that enables large models and high performance on commodity hardware. ggml is used by projects like llama.cpp and whisper.cpp, offering a low-level, cross-platform implementation with integer quantization support and broad hardware compatibility. The company's development is open-source under the MIT license, with a focus on simplicity and encouraging experimentation.
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Key facts
- Website
- ggml.ai
- Founded
- 2021
- Business model
- B2B
Tech stack
Detected on ggml.ai, last scanned 28 Oct 2026. Run your own scan
- CDN
- Fastly
- Email provider
- Google Workspace
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[audio.cpp] 10 hours of audio generated in 3 minutes on RTX 5090 (demo included)! C++/GGML based Supertonic 3, MOSS-TTS, IndexTTS2, and Irodori-TTS released.
[audio.cpp] The Sound of GGML — C++/GGML native ACE-Step, Stable Audio, HeartMuLa, RoFormer, HTDemucs released. 10-Minute Music in 60 Seconds!
[audio.cpp] VibeVoice 1.5B released — 90-min podcast in 22.95 min, 4.08x real-time, 2.86x faster than Python without quantization. Native C++/ggml.
audio.cpp: 12 audio models (Qwen3-TTS, PocketTTS, VeVo2 etc) in 1 C++/ggml runtime — TTS up to 5x faster than Python on CUDA.
For llama.cpp/ggml AMD MI50s are now universally faster than NVIDIA P40s. In 2023 I implemented llama.cpp/ggml CUDA support specifically for NVIDIA P40s since they were one of the cheapest options for GPUs with 24 GB VRAM.
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Frequently asked
Is ggml trustworthy and reputable?
StartupHub's Data Trust & Reputation score for ggml is 51 out of 100, a use-caution rating, based on site security posture, privacy practices, malware and phishing checks, and public reputation signals.
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SEC filings, insider activity, nonprofit links and pay benchmarks for ggml:
Company details: from public sources. Funding: no announced round on file. Ownership: not yet claimed by the company. Scores: measured by named tools; each links to its method. Our rules
