Alternatives to ggml

An open-source machine learning framework for accelerating AI research and production deployment.

An open-source machine learning platform for building and deploying AI applications.

An open-source AI and machine learning platform for enterprises.

Japan-focused efficient AI models using bio-inspired evolution to build capable, compact foundation models.

Arcee provides U.S.-made, open source large language models and checkpoints for insight into raw model intelligence.

Designed for institutional investors, Reflexivity combines trusted data from S&P Global, LSEG Datastream, Cboe, Nasdaq, and more with explainable AI to surface insights - not noise.

Foundation models for simulating Earth's systems, starting with weather.

Run large language models locally on your machine.

Connects LLMs and AI agents to real-time mainframe data for enterprise insights.

Velaura AI develops ultra-low power silicon and software technologies for AI infrastructure, focusing on energy efficiency for data centers and physical AI applications.

Builds intelligent AI-powered software products that help businesses grow faster through automation, analytics, and modern technology.

Develops low-energy AI processors with spatial dataflow architecture for extended device operation.

Develops advanced humanoid and quadruped robots with onboard AI for consumer and industrial applications.

Expedera provides scalable Neural Processing Unit (NPU) semiconductor IP for edge AI inference.

Fabless semiconductor company designing and licensing graphics IP for embedded systems.

AI computing company providing programmable edge AI hardware and software solutions.

AI chip startup focused on energy-efficient inference acceleration, acquired by AMD.

Designs and manufactures ultra-low power microcontrollers and processors for IoT and wearable devices.

AI computing innovator revolutionizing edge computing solutions with programmable processors and software platforms.

Edgify enables deep learning model training directly on edge devices, eliminating data extraction and network costs for real-time AI decisions.

AI vision software for embedded processors, enabling high accuracy with minimal resources.

Breakthrough speaker-in-chip technology for ultra-compact, high-quality audio experiences.

Develops AI chips for edge computing, enabling AI processing on devices.

Canadian fabless semiconductor company specializing in low-power analog AI compute-in-memory chip technology for edge devices.

Privacy-first, cloud-free AI for smart glasses.

AI chipmaker

Intent HQ provides a privacy-first Mobile Customer Engagement Solution for hyper-personalized marketing using on-phone data.

Developing highly efficient, compact AI models for edge devices and resource-constrained environments.

Oculi is a provider of AI-based sensor processors.

Logarithmic computing for AI inference.

Reduces computer-vision AI cost and power consumption for edge and cloud deployments.

On-premise AI infrastructure for regulated industries, ensuring data control, security, and compliance.

Full-stack edge AI solutions enabling on-device AI inference with integrated hardware and software.

Develops power-efficient AI processors for automotive ADAS and connected devices.

Designs and manufactures ultra-low power microcontrollers and SoCs for IoT and wearable devices.

An open-source Python library providing a unified interface for interacting with various LLM providers.

Open-source search and analytics engine for data exploration and real-time insights.

Pioneering on-device AI for cameras, enabling intelligent features on edge devices.

An MIT spinoff developing computational architectures for minimal, online, continual learning systems that interact with the physical world.

A unified data analytics and AI platform built on the lakehouse architecture.

Developing foundational AI models and the infrastructure to train and deploy them.

A free, open-source Wolfram Language paclet for word statistics, TeX and citations dissection, neural networks, and LLM automated reports over arXiv articles.

Run your own models, on your own machines, on your own terms. Intelligence should belong with the beings it comes from. We say Digital Intelligence, not AI — and we mean it.

Defense technology company developing autonomous systems and AI-enabled software for national security.

Edgecortix develops AI-powered hardware accelerators for efficient edge AI inference.

Global leader in autonomous driving technology and ADAS chips, providing vision-based sensing and AI software for vehicles worldwide.

An open-source TypeScript/JavaScript framework for building AI agents, from the creators of Gatsby.

Designs and licenses CPU cores and related technologies for semiconductors, powering most mobile devices and increasingly AI infrastructure.

AI acceleration cloud platform for open source and enterprise.

Snyk is a developer security platform that helps software teams find and fix vulnerabilities in code, open source dependencies, containers, and cloud infrastructure.

A free, open-source e-commerce plugin for WordPress, empowering businesses to build and manage online stores.

Hugging Face is the leading AI community and platform for machine learning collaboration, enabling developers to build, share, and deploy models, datasets, and applications.

AI coding models and pair programmer built for on-device execution with privacy-first architecture.

Redis is an open-source, in-memory data platform used as a database, cache, and message broker, powering real-time applications at scale.

Company

The company behind WordPress.com, WooCommerce, Tumblr, and Jetpack, empowering individuals and businesses to build and manage their online presence.

Tesla is an electric vehicle and clean energy company that is increasingly focused on AI and robotics.

Marvell Technology is a global leader in data infrastructure semiconductor solutions, enabling the movement, processing, storing, and securing of the world's data.

High-performance, open-source vector search engine built in Rust for production-grade AI and machine learning workloads.