MosaicML, a leading software development provider specializing in large-scale machine learning models, has chosen Oracle Cloud Infrastructure (OCI) as its preferred cloud infrastructure solution. By leveraging OCI’s high-performance AI infrastructure, MosaicML has achieved significant advancements in training efficiency and cost savings compared to other cloud providers.
Under the leadership of Naveen Rao, CEO and co-founder of MosaicML, the company is revolutionizing the development and training of complex generative AI models. By providing robust systems and hardware, MosaicML allows its customers to focus on building and deploying their own cutting-edge custom models.
MosaicML’s decision to partner with OCI stems from its belief that OCI offers the ideal foundation for their platform. Training models with vast amounts of data in the cloud demands optimal performance and scalability, both of which OCI delivers. With OCI, MosaicML benefits from lower costs compared to other cloud providers, enabling them to scale their operations efficiently.
The collaboration between MosaicML and OCI has already yielded remarkable results for enterprises and startups seeking to operationalize AI models. One notable success story is Twelve Labs, an AI startup specializing in multimodal video understanding. By leveraging MosaicML’s platform on OCI and the powerful AI infrastructure provided by OCI, Twelve Labs has achieved efficient scaling and deployment of their AI models. This has empowered users to effortlessly search, classify, and leverage video data for a wide range of applications.
Jae Lee, founder and CEO of Twelve Labs, praises the collaboration between MosaicML and Oracle, emphasizing the handling of large capacities at high speeds and the long-term growth prospects. MosaicML enables efficient management of large AI clusters, while OCI’s AI infrastructure ensures unrivaled speed, resulting in significant time and cost savings for Twelve Labs.
OCI offers various capabilities for AI, including AI infrastructure. OCI Compute virtual machines and bare metal GPU instances power applications in computer vision, natural language processing, recommendation systems, and more. For training large and complex models, OCI Supercluster provides ultra-low latency cluster networking, HPC storage, and NVIDIA GPU-powered compute instances. With OCI’s high-performance ethernet network and advanced GPUs, the time and cost of machine learning training are substantially reduced.
Greg Pavlik, Senior Vice President at Oracle, highlights the superiority of OCI in running generative AI models faster and more economically than other cloud providers. The efficient architecture and non-blocking, low latency network design of OCI set it apart in the market.
In conclusion, MosaicML’s collaboration with Oracle Cloud Infrastructure offers businesses accelerated and cost-effective training of AI models. By leveraging OCI’s high-performance AI infrastructure, enterprises can extract more value from their data and unlock the full potential of AI technology.
Frequently Asked Questions (FAQ)
1. What is MosaicML?
MosaicML is a software development provider that specializes in infrastructure and tools for building large-scale machine learning models.
2. Why did MosaicML choose Oracle Cloud Infrastructure?
MosaicML selected Oracle Cloud Infrastructure (OCI) as its preferred cloud infrastructure due to OCI’s high-performance AI infrastructure, which delivers faster performance and cost savings compared to other cloud providers.
3. How does OCI benefit MosaicML?
OCI provides MosaicML with access to the latest NVIDIA GPUs, high-bandwidth interconnects between nodes, and large compute block sizes for scalable operations. This enables MosaicML to help enterprises and startups operationalize AI models more efficiently.
4. What is an example of MosaicML’s successful collaboration with OCI?
Twelve Labs, an AI startup specializing in multimodal video understanding, has leveraged MosaicML’s platform on OCI and OCI’s AI infrastructure to scale and deploy their AI models effectively. This collaboration has enabled Twelve Labs to optimize users’ video data for various applications.
5. How does OCI’s AI infrastructure stand out?
OCI’s architecture and non-blocking, low latency network design are fundamentally different from other offerings in the market. This allows OCI to run generative AI models faster and more economically, reducing the time and cost of machine learning training.