Oracle Corporation
09/30/2024 | Press release | Distributed by Public on 09/30/2024 15:00
VESSL AI Partners with Oracle to Advance the Next Era of MLOps
Key Takeaways
VESSL AI has been successfully integrated with Oracle Cloud Infrastructure (OCI). This partnership enables VESSL AI users to enjoy seamless provisioning, enhanced cost-efficiency, and adherence to the highest security and compliance standards. Start managing your machine learning (ML) lifecycle on VESSL today!
Introduction
MLOps serves as a critical bridge, connecting AI applications with a broader user base. As competition for compute resources intensifies, having stable and reliable resources is paramount for MLOps platforms. The future success of AI applications, fine-tuned models, data providers, and MLOps hinges on effectively delivering and maintaining these compute resources. Reliable computing is crucial for several reasons:
Low Latency: Users demand quick response times for executing, deploying, and serving their services.
Cost-Efficiency: Cost-effective solutions are essential for users across various industries.
High Security: Users require robust security to protect their data and applications.
In this dynamic landscape, consistently meeting these demands will determine which platforms lead the industry.
VESSL AI Meets Oracle Cloud Infrastructure
VESSL AI, a comprehensive MLOps/LLMOps platform, empowers users to manage their entire ML lifecycle. To meet the rigorous demands of our users, VESSL chose Oracle Cloud Infrastructure (OCI) for the following reasons:
High Performance and Scalability: OCI is architected for high-performance computing with bare metal servers and non-blocking networks, providing scalable infrastructure for AI training, low-latency inference, and data-intensive applications.
Robust Security and Compliance: OCI offers a robust suite of security features and compliance certifications, ensuring the protection of data and applications to the highest industry standards.
Cost-Effective Pricing: OCI's flexible pricing model with predictable costs makes it an attractive option for businesses of all sizes, especially for those running complex enterprise applications.
As VESSL operates its multi-cloud MLOps platform, reliable compute resources are essential. OCI enables it to reach international users without boundaries, and in return, users benefit from the robust capabilities of both platforms. This partnership allows VESSL AI to be a valuable asset for OCI users, expanding their utility and enhancing their AI-driven workloads. OCI, in turn, benefits by attracting more AI/ML workloads, strengthening its position in the cloud-based AI/ML market.
What Benefits Can VESSL AI Offer?
VESSL AI streamlines the process of building AI applications, supporting developers at every stage - whether they are in the process of developing, have already created, or wish to build with the VESSL platform. VESSL provide a comprehensive suite of products, including:
VESSL Run: Facilitates training jobs, inference with auto-scaling services, and launching experiments on Jupyter Notebooks.
VESSL Service: Enables deployment of services with APIs.
VESSL Pipeline: Manages services with workflow automation.
VESSL platform's key advantages include:
Multi-Cloud Support - VESSL supports multiple cloud environments, including Google Cloud Platform, Amazon Web Services, and on-premise environments.
Scalability - Users can scale across hundreds of instances for batch jobs, inference tasks, or other processes on the cloud. VESSL Run and Workspace allow users to launch numerous jobs simultaneously across multiple environments and Jupyter Notebooks, ensuring efficient handling of large-scale machine learning workloads.
System Efficiency - We minimize cold-start issues with VESSL Serverless Mode, significantly reducing start times, enabling low-latency inference and deployment.
By integrating OCI, VESSL unlocks the following enhancements:
Distribution - Enhanced cloud support with a variety of computing resources, offering users more options to optimize their workloads.
Scalability - OCI's relentless scalability allows users to provision resources at scale without compromising performance, making it ideal for managing even the most demanding AI/ML workloads.
Cost Efficiency - OCI's cost-effective resources enable users to optimize cloud spending while still accessing high-performance computing power necessary for AI/ML applications.
Current Status
The integration with OCI has been successfully completed. Users can now see the OCI clusters directly in the VESSL platform, specifically in the VESSL Run, Workspace, and Service sections. This seamless integration enables AI/ML service providers and engineers to utilize OCI resources effortlessly through VESSL's platform.
What's Next?
Since it's inception in 2020, VESSL AI has been dedicated to building a platform that fully manages the entire lifecycle of machine learning, enabling users to create services, run experiments, manage batch jobs, and handle operations seamlessly. As a trusted OCI partner, VESSL will continue to accelerate the AI/ML industry by providing robust computing resources and an advanced MLOps platform. VESSL's focus remains on expanding their reach and attracting users who seek cloud solutions and MLOps platforms for their services, driving forward the future of AI/ML across both VESSL and OCI platforms.
Please visit the OCI AI Infrastructure page for more information. To test out VESSL, please click here.