The Best Libra-Tk Alternatives in 2026

Infer.NET runs Bayesian inference in graphical models for a range of machine learning problems.

Prime Intellect provides compute, training, inference, and sandbox tools for training and deploying machine learning models.

Groq provides cloud infrastructure and developer APIs for running AI model inference.

Baseten provides an inference platform for serving and scaling open-source and custom AI models in production.

Run sandboxes, task queues, and custom model inference with ultrafast boot times, instant autoscaling, and a developer experience that just works.

Runpod provides on-demand GPUs and serverless compute for AI model training, fine-tuning, inference, and batch workloads.

Apertus provides a nonprofit public inference service intended to make public and sovereign AI models more accessible.

DigitalOcean offers cloud infrastructure for AI agents, inference, and production AI products.

DEAP provides a Python framework for prototyping evolutionary computation algorithms and testing new ideas.

GeneticSharp provides C# tools for developing applications that use genetic algorithms.

Forefront provides a platform for fine tuning and running inference with open source language models.

Featherless is a serverless AI inference platform for open-weight models with API access to tens of thousands of models.

Wallaroo provides inference microservices for running models on CPUs or GPUs across cloud and edge environments.

Extensible Toolkit for Finetuning and Inference of Large Foundation Models.

Hugging Face Text Embeddings Inference serves text embedding models through an inference solution.

Hopsworks provides a feature store and MLOps platform for building and operating production machine learning systems.

Activeloop provides infrastructure for continual learning and develops the Deeplake GPU database for agents.

Espresso AI uses machine learning to optimize Snowflake and Databricks data warehouses and reduce query and infrastructure costs.

Mem0 provides a persistent memory layer that helps AI agents and applications learn from past user interactions.

Cerebras provides AI inference infrastructure built around its wafer-scale chips.

Banana hosts GPUs for AI inference and supports autoscaling for high-throughput workloads.

Z.AI’s developer documentation explains how to access its models and services through an API.

Lambda provides on-demand GPU instances and reserved clusters for training and running AI models.

Credo AI helps organizations inventory AI systems, enforce governance policies, demonstrate compliance, and manage model and agent risk.