ggml vs Ollama

ggml vs Ollama, compared side by side on 13 data points: what each one does, how big it is, what it has raised, the tech running each site, and what users report. We score both out of 100 on traction, team and visibility: ggml is on 15/100 and Ollama on 52/100.

ggmlA C/C++ tensor library for efficient machine learning inference on consumer hardware.
Try ggml
Ollama logo
OllamaRun large language models locally on your machine.
Try Ollama

Where each one leads

ggml

Leads on none of the measures we hold for both companies.

Ollama

  • our overall score: 52/100 against 15/100
  • agent readiness: 38/100 against 21/100
  • domain rating: 87/100 against 49/100

At a glance

MeasureggmlOllama
What it isA C/C++ tensor library for efficient machine learning inference on consumer hardware.Run large language models locally on your machine.
CategoryFoundation Model, Large Language Model, AI Infrastructure, Edge AIFoundation Model, Large Language Model, Open Source, Developer Tools
Sells toBusiness modelB2BOpen Source
OfferingSoftwareSoftware
Founded20212023
HeadquartersNot publishedSan Francisco, United States
StatusActiveActive

Size, funding and growth

MeasureggmlOllama
Open rolesNot published7
Total fundingNot published$65.0M
Latest roundNot publishedUndisclosed

StartupHub scores

Our own 0-100 ratings. They measure company strength and site quality, not which product suits you.

MeasureggmlOllama
StartupHub scoreOur 0-100 rating15/10052/100
Team30/10070/100
CommunityNot published15/100
Search visibility14/10054/100
QualityNot published70/100
Agent readinessHow well an AI agent can read and act on the siteF (21/100)F (38/100)
Domain ratingLink authority, 0-10049/10087/100

Technology

Detected on each public site, so it reflects the marketing stack as well as the product.

MeasureggmlOllama
HostingNot detectedGoogle Cloud
CDNFastlyNot detected
FrameworksNot detectedHtmx, Tailwind CSS
Open sourceYesYes
Self-hostableYesYes

What users say

MeasureggmlOllama
Reddit sentimentThreads we track5 positive, 0 negative across 6 threadsNot published
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.
r/LocalLLaMA

ggml vs Ollama: common questions

Which is better, ggml or Ollama?

On our 0-100 score Ollama rates higher (52/100 against 15/100). The score weights traction, team, visibility and profile completeness, so it reflects company strength rather than which product suits you. We compare the two on 13 data points above: read the rows that match what you are buying for.

How do ggml and Ollama compare on the numbers?

Ollama leads on our overall score (52/100 against 15/100), agent readiness (38/100 against 21/100), domain rating (87/100 against 49/100).

What do real users say about ggml and Ollama?

ggml: 5 positive and 0 negative mentions across 6 Reddit threads we track, mostly in r/LocalLLaMA.

Read the full ggml review and pricing or the Ollama review and pricing. You can also browse other ggml alternatives we track.