News Report SMW Technology
May 15, 2023

The AI Startup Together Successfully Secures Funding for Open-Source AI and Cloud Platform

In Brief

Together, an opensource AI startup, has raised $20 million to support its mission of creating decentralized alternative to closed AI systems and democratizing AI for everyone.

Together, an open-source AI startup has announced it has raised $20 million to support its mission of creating open source as the default way to incorporate AI and help create open models that outperform closed models.

The AI startup Together Has Successfully Secured Funding for Its Open-Source AI and Cloud Platform

Together, a generative AI company, has received $20 million in seed funding to expand the team, research, product, and infrastructure. Together’s mission is to empower innovation and creativity by providing leading open-source generative AI models and an innovative cloud platform.

De Guerre said that open-source model technology has the potential to unlock the potential of foundation models. Enterprises looking to develop generative AI strategies should focus on Opensource models, pre-trained on open datasets, to get full insights and customization. The RedPajama project is a promising effort. However, it represents only the start of the company’s efforts to make computational resources for training, fine-tuning, and operating large models more accessible. The company’s second goal is to make resources more accessible.

The AI Startup Together Successfully Secures Funding for Open-Source AI and Cloud Platform
Together’s Core Team

Open-source generative AI models and datasets enable the open community to do more advanced research and build on these models creating new ones. Together has released RedPajama, a collection of open-source models for generating, analyzing, and displaying emotion, and in the past few weeks, we have seen new models being released in open-source implementations.

TensorFlow is working to improve its specialized cloud platform, which is designed to efficiently scale training and inference for large models. This will make it possible to quickly customize and connect foundation models with production tasks. The company plans to open up access to its platform to enable rapid customization and coupling of foundation models with production tasks.

According to de Guerre, the company promotes open-source AI advancements by partnering with open-source groups and corporate research labs to release open research, datasets, and models. It is also partnering with decentralized infrastructure providers to provide improved access to computing for training, finetuning, and running large models.

Together for Enterprise uses a scalable infrastructure to enable the customer with various computing options and makes the platform accessible to more individuals. The company developed technologies that improve inference throughput by an order of magnitude. Customers can opt in and share their data with Together for training models.

Together’s seed funding round was led by Lux Capital and supported by several venture funds, angel investors, and prominent entrepreneurs, including the cofounder of PayPal, Scott Banister, the cofounder of Cloudera, Jeff Hammerbacher and LipBu Tan, the founder of Cadence Systems.

  • CoreWeave, a specialized cloud provider focused on large-scale GPU-accelerated workloads, has secured $221 million in Series B funding. NVIDIA, former GitHub CEO Nat Friedman, and former Apple executive Daniel Gross participated in the round. The company’s latest funding will enable it to continue expanding its specialized cloud infrastructure that caters to compute-intensive tasks.
  • OpenAI Evals is an open-source software framework designed to create and run benchmarks for AI models like GPT4. The company uses Evals to guide the development of its models and track performance across model versions.

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About The Author

Damir is the team leader, product manager, and editor at Metaverse Post, covering topics such as AI/ML, AGI, LLMs, Metaverse, and Web3-related fields. His articles attract a massive audience of over a million users every month. He appears to be an expert with 10 years of experience in SEO and digital marketing. Damir has been mentioned in Mashable, Wired, Cointelegraph, The New Yorker, Inside.com, Entrepreneur, BeInCrypto, and other publications. He travels between the UAE, Turkey, Russia, and the CIS as a digital nomad. Damir earned a bachelor's degree in physics, which he believes has given him the critical thinking skills needed to be successful in the ever-changing landscape of the internet. 

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Damir Yalalov
Damir Yalalov

Damir is the team leader, product manager, and editor at Metaverse Post, covering topics such as AI/ML, AGI, LLMs, Metaverse, and Web3-related fields. His articles attract a massive audience of over a million users every month. He appears to be an expert with 10 years of experience in SEO and digital marketing. Damir has been mentioned in Mashable, Wired, Cointelegraph, The New Yorker, Inside.com, Entrepreneur, BeInCrypto, and other publications. He travels between the UAE, Turkey, Russia, and the CIS as a digital nomad. Damir earned a bachelor's degree in physics, which he believes has given him the critical thinking skills needed to be successful in the ever-changing landscape of the internet. 

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