Apertus
publicai.co/chatApertus provides a nonprofit public inference service intended to make public and sovereign AI models more accessible.
Looking for something like hpcaitech/ColossalAI? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 14 are open source.
ColossalAI provides tools intended to make large AI models cheaper, faster, and more accessible.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | Apertus | — | Not stated | Web |
| 2 | Traceloop OpenLLMetry | — | Yes | — |
| 3 | GPTCache | — | Yes | — |
| 4 | OneComp | — | Yes | — |
| 5 | LMFlow | — | Yes | — |
| 6 | microsoft/LMOps | — | Yes | — |
| 7 | Radicalbit | — | Yes | — |
| 8 | Ludwig | — | Yes | — |
| 9 | PaddlePaddle | — | Yes | — |
| 10 | Mosec | — | Yes | — |
Apertus provides a nonprofit public inference service intended to make public and sovereign AI models more accessible.
OpenLLMetry provides OpenTelemetry-based observability for generative AI and large language model applications.
GPTCache provides semantic caching for large language models and integrates with LangChain and LlamaIndex.
OneCompression is a Python package for compressing large language models.
Extensible Toolkit for Finetuning and Inference of Large Foundation Models.
This repository describes technologies for enabling AI capabilities with large and multimodal language models.
Radicalbit AI Monitoring provides a solution for monitoring machine learning models in production.
Ludwig provides a low code framework for building custom LLMs, neural networks, and other AI models.
PaddlePaddle provides a deep learning framework for training models across devices and platforms.
Mosec serves machine learning models with dynamic batching and CPU or GPU pipelines for inference workloads.
ClearML combines experiment and data management, pipelines, scheduling, orchestration, and model serving for AI workloads.
DyNet provides tools for building dynamic neural networks and deep learning models.
ClearML manages AI experiments, data, pipelines, orchestration, scheduling, and model serving in one MLOps platform.
BentoML helps build and serve AI apps and models through inference APIs, job queues, and multi-model pipelines.
GPT-NeoX implements model parallel autoregressive transformers on GPUs using Megatron and DeepSpeed libraries.
Cohere develops AI models and solutions for enterprise process automation, employee tools, and turning fragmented data into insights.
Kili Technology provides annotation tools for building datasets to train, fine-tune, and evaluate AI models.
Curate and annotate vision, audio, and LLM datasets, track experiments, and manage models on a single platform.
Baseten provides an inference platform for serving and scaling open-source and custom AI models in production.
AI/ML API provides access to models for text, images, video, audio, code, and embeddings through one API.
Snowgoose provides access to models from OpenAI, Anthropic, Google, and other providers in one AI workspace.
CometAPI provides a unified API and billing interface for accessing hundreds of language, image, and audio models.
NVIDIA offers enterprise AI infrastructure, software, and models for business applications.
ModAstera guides teams through data labeling, AI model building, validation, and deployment in one workflow.
Alternatives are suggested from the purpose and features described in our listings. Different pages for the same product appear once. Read each description to check whether it fits your task. How we choose alternatives · Suggest an alternative