Together Alternatives

Accelerate AI model development with optimized training and inference, scalable infrastructure, and collaboration tools for enterprise customers.
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If you're looking for something besides Together, there are several other options worth a look that can help you build and deploy generative AI models.

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NVIDIA AI Platform

The NVIDIA AI Platform is a broad effort to turn companies into AI companies. It includes a browser-based all-in-one AI training service that speeds up work with higher accuracy and performance. The platform uses accelerated infrastructure, enterprise software and AI models to automate the entire AI workflow, which makes it a good choice for building AI into operations and for scaling business applications.

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Anyscale

Another good option is Anyscale, which is good for building, deploying and scaling AI applications. It supports a variety of AI models, including LLMs, and has features like workload scheduling, cloud flexibility, smart instance management and cost savings of up to 50% on spot instances. Anyscale's native integrations with IDEs and streamlined workflows make it a good option for running, debugging and testing code at large scale.

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Klu

If you're interested in generative AI models, Klu is another good option. It lets you build, deploy and optimize generative AI models based on large language models like GPT-4, Llama 2 and Mistral. Klu supports fast iteration, built-in analytics and custom model support, which means AI engineers and teams can iterate and optimize based on model, prompt and user feedback. It offers several pricing tiers to suit different needs.

More Alternatives to Together

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Aible

Deploys custom generative AI applications in minutes, providing fast time-to-delivery and secure access to structured and unstructured data in customers' private clouds.

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Dify

Build and run generative AI apps with a graphical interface, custom agents, and advanced tools for secure, efficient, and autonomous AI development.

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Keywords AI

Streamline AI application development with a unified platform offering scalable API endpoints, easy integration, and optimized tools for development and monitoring.

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Airtrain AI

Experiment with 27+ large language models, fine-tune on your data, and compare results without coding, reducing costs by up to 90%.

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Tromero

Train and deploy custom AI models with ease, reducing costs up to 50% and maintaining full control over data and models for enhanced security.

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Abacus.AI

Build and deploy custom AI agents and systems at scale, leveraging generative AI and novel neural network techniques for automation and prediction.

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Clarifai

Rapidly develop, deploy, and operate AI projects at scale with automated workflows, standardized development, and built-in security and access controls.

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Google AI

Unlock AI-driven innovation with a suite of models, tools, and resources that enable responsible and inclusive development, creation, and automation.

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ClearGPT

Secure, customizable, and enterprise-grade AI platform for automating processes, boosting productivity, and enhancing products while protecting IP and data.

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ThirdAI

Run private, custom AI models on commodity hardware with sub-millisecond latency inference, no specialized hardware required, for various applications.

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Eden AI

Access hundreds of AI models through a unified API, easily switching between providers while optimizing costs and performance.

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Stability AI

Democratize access to powerful AI models across various formats, including images, videos, audio, and language, with flexible membership options.

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Predibase

Fine-tune and serve large language models efficiently and cost-effectively, with features like quantization, low-rank adaptation, and memory-efficient distributed training.

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Appen

Fuel AI innovation with high-quality, diverse datasets and a customizable platform for human-AI collaboration, data annotation, and model testing.

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Lamini

Rapidly develop and manage custom LLMs on proprietary data, optimizing performance and ensuring safety, with flexible deployment options and high-throughput inference.

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Scale

Provides high-quality, cost-effective training data for AI models, improving performance and reliability across various industries and applications.

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Fireworks

Fine-tune and deploy custom AI models without extra expense, focusing on your work while Fireworks handles maintenance, with scalable and flexible deployment options.

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Replicate

Run open-source machine learning models with one-line deployment, fine-tuning, and custom model support, scaling automatically to meet traffic demands.

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AIML API

Access over 100 AI models through a single API, with serverless inference, flat pricing, and fast response times, to accelerate machine learning project development.

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Salad

Run AI/ML production models at scale with low-cost, scalable GPU instances, starting at $0.02 per hour, with on-demand elasticity and global edge network.

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Credal

Build secure AI applications with point-and-click integrations, pre-built data connectors, and robust access controls, ensuring compliance and preventing data leakage.