If you're looking for a service that lets you run tasks in parallel with GPT4-powered tools, Spell is a top pick. This information retrieval system lets you delegate work to autonomous AI agents augmented by GPT4. You can run multiple GPT jobs in parallel and include data in prompts to generate custom output. It also comes with a library of curated prompts and templates, and more than 360 plugins to extend the abilities of agents. The system is adaptable and can be used for research, content generation, business planning and more, and a 7-day free trial lets you experiment with its abilities.
Another top pick is Zerve, which offers a foundation to deploy and manage GenAI and Large Language Models (LLMs) within your own infrastructure. It supports unlimited parallelization and fine-grained control over GPU resources, making it a good choice to accelerate data science and ML workflows. With support for Python, R, SQL and Markdown, Zerve makes it easy to integrate and collaborate. It also supports self-hosting on AWS, Azure or GCP so you have complete control over your data and infrastructure.
If you don't want to write code, BulkGPT is a powerful tool to create and run bulk AI workflows. It combines internet-based processing, ChatGPT prompts and web scraping to automate tasks like data scraping, content generation and personalized marketing. It supports asynchronous processing and parallel processing up to 10 threads, so it's good for big automation jobs. With support for multiple file formats and a history task dashboard, BulkGPT is a powerful option for parallel task execution.
Respell is another platform that lets you build intelligent workflows without writing code. It integrates with AI models and agents from OpenAI, Anthropic and Azure, and with popular tools like Notion, Hubspot, Salesforce and Zapier. With prebuilt Spell templates and customizable workflows, Respell is adaptable for a variety of business needs like sales, marketing and operations. It also has enterprise security features like SOC II compliance and data encryption, so it's a good option for parallel task execution.