Productivity14th April 2024
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Together AI Pricing, Features And Alternatives

Together AI
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Together AI: Together AI just announced that they have raised $102.5 million in Series A funding. Their focus is on creating an AI tool that works on the cloud and uses generative AI. The company's platform is based on cutting-edge AI research and offers the fastest inference stack when using API calls. Their research team has come up with innovative developments such as Cocktail SGD, FlashAttention 2, and Monarch Mixer, which uses a sub-quadratic model architecture and was created in partnership with Hazy Research. Monarch Mixer is specifically designed to target BERT and has shown a 25% increase in parameter efficiency and 3 times faster training. Additionally, Together AI is committed to supporting open-source initiatives like RedPajama, providing custom models, GPU clusters, and an end-to-end AI platform for building, deploying, and scaling applications.

Together AI Use Cases - Ai Tools

Build gen AI models with Together AI. Benefit from the fastest and most cost-efficient tools and infra. Collaborate with our expert AI team that’s dedicated to your success.

Together AI Cost

Together AI Pricing

Paid: This software is a paid service. To access its features, you will need to purchase a subscription. The cost of the subscription varies depending on the plan you choose. Please visit the pricing page on the software's website for more information.

Together AI was manually vetted by our editorial team and was first featured on 14th April 2024
This AI Tool Is Not Verified By Our Team.

169 alternatives to Together AI for Productivity

Pros and Cons

Pros

– Raised $102.5 million in funding
– Focuses on creating cloud-based AI tool
– Utilizes generative AI
– Offers fastest inference stack with API calls
– Developed innovative technologies:
– Cocktail SGD
– FlashAttention 2
– Monarch Mixer
– Monarch Mixer targets BERT
– 25% increase in parameter efficiency
– 3 times faster training
– Supports open-source initiatives like RedPajama
– Provides custom models, GPU clusters, and an end-to-end platform for building and deploying AI applications

Cons

– High cost for companies with limited budgets
– May require extensive training for users
– Potential for bias if not properly monitored
– Dependence on internet connection and cloud servers
– Potential for technical issues and downtime
– May exclude non-technical users or small companies
– Integration and compatibility issues with existing systems