If you're looking for another UbiOps alternative, Together is worth a look. It's a cloud platform for building and deploying generative AI models with features like Cocktail SGD, FlashAttention, and Sub-quadratic model architectures. Together supports a variety of models and offers scalable inference for high traffic volumes at a low cost. It also offers collaboration tools for model fine-tuning and a cost-effective option with substantial cost savings compared to other providers.
Another top contender is NVIDIA AI Platform. This is an integrated AI training service that can be accessed through a browser, speeding up projects with higher accuracy and performance. It offers multi-node training at scale, accelerates the data science pipeline, and streamlines the development and deployment of production AI applications. The platform includes generative AI capabilities, data analytics acceleration, and tools for building production-ready applications, making it a good option if you want to integrate AI into your operations.
If you want to build and manage AI projects at scale, Clarifai is another option. It streamlines the process of taking AI prototypes to production by standardizing workflows and increasing efficiency. Clarifai can be deployed on-premises, air-gapped and in the cloud, and its features include automated data labeling, generative AI and retrieval augmented generation. It can be used for a variety of use cases including content moderation and visual inspection, and is designed to be accessible to no-code and low-code users.
Last, Airtrain AI is a no-code compute platform that handles big data pipelines and big language models. It comes with tools like an LLM Playground, Dataset Explorer and AI Scoring for model evaluation. The platform lets you easily evaluate, fine-tune and deploy custom AI models, with pricing tiers ranging from free to enterprise-level options.