Question: Can you recommend a solution that accelerates data science and ML workflows by integrating open models, serverless GPUs, and my data?

If you want to speed up your data science and ML workflows by combining open models, serverless GPUs and your own data, Zerve is a good option. It lets you run and manage GenAI and Large Language Models (LLMs) in your own environment, giving you more control and faster deployment. Features include a notebook and IDE environment, fine-grained GPU control, language interoperability, unlimited parallelization, and compute optimization. Zerve also supports self-hosting on AWS, Azure, or GCP instances, so you have full control over your data and infrastructure.

Another option is Abacus.AI, which lets developers create and run applied AI agents and systems at scale with generative AI and other neural network methods. The company offers a range of products, including ChatLLM for building end-to-end RAG systems and AI Agents for automating complex workflows. Abacus.AI supports high availability, governance and compliance, so it's designed for enterprise use. It also offers features like notebook hosting, model monitoring and explainable ML so you can analyze data at scale and set up pipelines for complex processes.

Cerebrium is a serverless GPU infrastructure for training and deploying machine learning models. It uses pay-per-use pricing that can cut costs dramatically. Cerebrium features include GPU variety, infrastructure as code, real-time logging and monitoring, and customizable status codes. With tiered plans and variable costs for compute resources, it's a good option for automatically scaling your AI applications without latency or high failure rates. You can use it with your own AWS/GCP credits or on-premise infrastructure.

If you prefer a no-code approach, check out Airtrain AI. This platform is geared for data teams that need to manage big data pipelines and offers tools to manage big language models. It includes an LLM Playground for experimenting with models, a Dataset Explorer for data visualization and curation, and AI Scoring for evaluating models. With several pricing tiers, Airtrain AI makes LLMs more accessible and economical, so you can quickly evaluate, fine-tune and deploy custom AI models for your needs.