GGML Alternatives

GGML

Alternatives to GGML

Efficient tensor library for machine learning on everyday devices.

ggml is a tensor library aimed at enhancing machine learning applications on common hardware. Designed…

Read more
PlaidML

Framework for accessible deep learning across devices.

Anaconda

Comprehensive platform for data science and AI development.

Langbase

Serverless platform for building and scaling AI agents effortlessly.

TensorFlow Lite

Lightweight framework for efficient AI model deployment on edge devices.

Caffee

Framework for building deep learning models efficiently.

Jarvis/HuggingGPT

Connects AI models for efficient management and collaboration.

Ava PLS

Run language models locally with an intuitive interface.

NVIDIA TensorRT

Optimizes AI model inference for real-time applications.

Agents-Flex

Framework for integrating and managing large language models.

Llama.cpp

Efficient inference engine for C and C++ language models.

Levytation

On-demand GPU rental for AI and data processing.

Run AI

Automates and accelerates AI workflows for effective resource management.

MLFlow

Manage and track the entire machine learning lifecycle efficiently.

OmniInfer

Fast and reliable access to scalable AI model deployment.

Sagify

Effortlessly manage machine learning tasks and model deployment.

No pricing info
Fritz

An AI-driven resource for discovering and evaluating AI options.

Intel OpenVINO

Accelerates AI model deployment across platforms with reduced latency.

Lamatic.ai

Build and deploy AI agents with a visual interface.

PyTorch

Framework for building dynamic neural networks and computations.

Solidus Ai Tech

Eco-friendly infrastructure for on-demand AI computing resources.

Dstack

AI container orchestration for efficient resource management.

Novita

User-friendly AI model deployment with scalable GPU resources.

Paid + from $0.001/image
LangChain

Framework for building intelligent applications using large language models.

OpenEBS

Streamlined solution for managing Kubernetes storage requirements.

Cloud ML Engine

A managed environment for developing generative AI applications.