AI Innovators Flock to Oracle to Address Some of the World's Most Pressing Challenges

Rhea-AI Summary

AI companies like Modal, Suno, Together AI, and Twelve Labs are leveraging Oracle Cloud Infrastructure and OCI Supercluster to train and inference next-generation AI models. OCI provides high-performance GPU clusters for various AI applications, supporting rapid growth and scalability.

Cloud Infrastructure Specialist

The use of Oracle Cloud Infrastructure (OCI) by AI companies such as Modal, Suno, Together AI and Twelve Labs highlights a growing trend in the tech industry: the reliance on cloud-based AI infrastructure to support large-scale AI applications. The scalability, performance and cost-effectiveness of OCI's offering, especially in GPU-intensive tasks, are key factors driving this adoption. As these AI companies scale, the demand for cloud services that can handle extensive machine learning and inference workloads will likely increase, potentially leading to higher revenues for cloud service providers like Oracle.

From a business perspective, the ability to offer a serverless GPU platform, as Modal does, allows customers to focus on model development without the overhead of infrastructure management. This can lead to increased productivity and faster time-to-market for AI solutions. Suno's use of OCI Supercluster for generative music models and Together AI's emphasis on security and white glove engineering support further underscore the diversified needs of AI companies that Oracle aims to meet. As such, Oracle's positioning in this space could attract a broader clientele, potentially impacting its market share in the cloud services sector.

AI and Machine Learning Analyst

The adoption of OCI by AI companies also signals advancements in the capabilities of generative AI applications. The ability to train large language models and conduct inference at scale is important for the development of sophisticated AI applications. This includes not only text generation but also areas such as personalized music creation by Suno and multimodal video understanding by Twelve Labs. The latter, in particular, represents a significant leap in AI's ability to interpret and analyze video content, which could transform how users interact with media.

For investors, the growth of generative AI applications suggests a burgeoning market with expanding use cases. The fact that these companies have chosen OCI over competitors could be indicative of Oracle's competitive edge in providing high-performance AI infrastructure. However, the long-term success of Oracle in this arena will depend on its ability to maintain technological leadership and cost competitiveness, especially as other major cloud providers vie for market dominance in AI services.

Financial Analyst

Oracle's engagement with up-and-coming AI companies could have a material impact on its financial performance. The increased usage of OCI services by these AI firms may lead to higher recurring revenue streams through cloud service subscriptions. This is particularly relevant as AI companies tend to consume significant cloud resources for training and inference, which can result in substantial cloud spending. Oracle's ability to secure these companies as clients not only boosts current earnings but also sets the stage for future growth as these AI applications mature and become more widespread.

Moreover, the emphasis on cost savings and performance by clients like Modal suggests that Oracle's pricing strategy could be a differentiator in winning business from startups to large enterprises. Financially, it will be important to monitor how Oracle manages its margins in this competitive landscape, ensuring that the increased volume of business does not come at the expense of profitability.

Modal, Suno, Together AI, and Twelve Labs leverage Oracle Cloud Infrastructure and OCI Supercluster to train and inference next-generation AI models

AUSTIN, Texas, March 18, 2024 /PRNewswire/ -- AI trailblazers are using Oracle Cloud Infrastructure (OCI) AI Infrastructure and OCI Supercluster to support the development and deployment of production-ready AI, including large language model training for generative AI applications. An influx of AI companies including Modal, Suno, Together AI, and Twelve Labs are deploying OCI AI Infrastructure to accelerate AI training and inferencing at scale.

As the demand for AI continues to surge, AI companies require secure, reliable, high-performance cloud and AI infrastructure that allows them to quickly and economically scale GPU instances as needed. With OCI AI Infrastructure, AI companies have access to high-performance GPU clusters for machine learning, image processing, model training, inference computation, physics-based modeling and simulation, and massively parallel HPC applications.

"AI innovators have a small margin of error when it comes to deploying AI infrastructure," said Greg Pavlik, senior vice president, AI and Data Management Services, Oracle Cloud Infrastructure. "OCI brings powerful computing capabilities and significant cost savings to a variety of AI use cases and that is why it has become the top destination for leaders in AI."

Modal, a serverless GPU platform, lets customers run generative AI models, large-scale batch jobs, and job queues without having to configure or set up the necessary infrastructure. To support its rapid expansion to data centers across the world, Modal leveraged OCI Compute bare metal instances for faster and more cost-effective inferencing for its customers.

"OCI's unmatched price and performance gives us the scale and high performance necessary to run massive AI models without excessive compute costs," said Erik Bernhardsson, founder and CEO, Modal. "With Modal on OCI, our customers get full serverless execution while truly only paying for what they use."

Suno is a leading generative music company whose flagship product makes realistic, personalized music in seconds. Suno chose OCI Supercluster to train its proprietary machine learning models and support growing demand for its next generation of generative music models.

"We found that the primary value of partnering with Oracle was around scale," said Mikey Shulman, founder and CEO, Suno. "Oracle gives us the confidence that as we grow, we are backed by a provider that can grow and scale with us. The new OCI Supercluster management capabilities, including user management, disk management, GPU management, and the ability to add new machines, were instrumental in helping us improve our operations."

Together AI is a research-driven AI company providing the fastest cloud platform for inference and training of generative AI models. Together AI selected OCI for its strong performance, built-in security, and white glove engineering support.

"Security was top of mind in selecting a cloud provider to support our rapid growth," said Vipul Ved Prakash, founder and CEO, Together AI. "OCI's trusted security and stability has helped us rapidly scale to support growing demand from startups and enterprise customers adopting our Inference, Fine-tuning, and Training solutions for their industry-leading performance."

Twelve Labs is an AI startup building foundation models for multimodal video understanding, enabling users to use natural language to search videos for specific scenes, generate accurate and insightful text about videos through prompting, and automatically classify videos based on custom categories. OCI Compute bare metal GPUs and the high-internode bandwidth OCI provides allow Twelve Labs to train large-scale models at high speeds.

"OCI AI Infrastructure allows us to train our models at scale without compromising quality or speed," said Jae Lee, founder and CEO, Twelve Labs. "OCI provides the performance, scalability, and cluster networking we need to further advance video understanding, while significantly reducing the time and cost necessary to deploy our AI models."

OCI AI Infrastructure offers several capabilities that enable AI companies to innovate faster
OCI Compute virtual machines and bare metal GPU instances can power applications for computer vision, natural language processing, recommendation systems, and more. OCI Supercluster provides ultra-low latency cluster networking, HPC storage, and OCI Compute bare metal instances to train large, complex models, such as large language models, at scale. Oracle's dedicated engineering support team works with customers through the entire deployment, from planning to launch, to help ensure success.

Additional Resources

• Learn more about OCI AI Infrastructure
• Learn more about accelerating GPU workloads
• Learn more about the OCI AI ISV Ecosystem
• Learn more about how Oracle and NVIDIA deliver sovereign AI worldwide
• Learn more about Suno

About Oracle
Oracle offers integrated suites of applications plus secure, autonomous infrastructure in the Oracle Cloud. For more information about Oracle (NYSE: ORCL), please visit us at www.oracle.com. 

Trademarks
Oracle, Java, MySQL and NetSuite are registered trademarks of Oracle Corporation. NetSuite was the first cloud company—ushering in the new era of cloud computing.

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SOURCE Oracle

How are AI companies like Modal, Suno, Together AI, and Twelve Labs using Oracle Cloud Infrastructure?

AI companies are using OCI to train and inference next-generation AI models, including large language model training for generative AI applications.

Why are AI companies deploying OCI AI Infrastructure?

AI companies require secure, reliable, high-performance cloud and AI infrastructure to quickly and economically scale GPU instances as needed.

What benefits does Modal get from leveraging OCI Compute bare metal instances?

Modal benefits from faster and more cost-effective inferencing for its customers, allowing for rapid expansion to data centers across the world.

Why did Suno choose OCI Supercluster?

Suno chose OCI Supercluster to train its proprietary machine learning models and support the growing demand for its next generation of generative music models.

What factors led Together AI to select OCI for its AI platform?

Together AI chose OCI for its strong performance, built-in security, and white glove engineering support, enabling rapid growth and scalability.

What is Twelve Labs focused on in the AI space?

Twelve Labs is building foundation models for multimodal video understanding, allowing users to search videos using natural language for specific scenes.