Seekr, an artificial intelligence company focused on delivering trusted AI, has entered a multi-year agreement with Oracle Cloud Infrastructure (OCI) to rapidly accelerate enterprise AI deployments, and execute a joint go-to-market strategy. In addition, Seekr is leveraging OCI to expand its multi-node training capabilities for the next-generation of large language models (LLMs) and AI agents that are optimized for edge deployments and vision-language foundation model training.
With OCI’s leading edge cloud and AI infrastructure powered by AMD Instinct MI300X GPUs, Seekr aims to quickly and securely deploy accurate and transparent agentic AI through SeekrFlow™, a complete AI software platform for preparing, training, and validating data. OCI’s secure AI infrastructure helps enable Seekr to perform multi-node training, optimize GPU usage, scale its LLMs more quickly and expand its availability globally. Seekr, Oracle, and AMD are bringing trusted AI closer to end users through advanced edge deployments.
Together, Seekr and OCI are executing a joint go-to-market strategy to further accelerate availability and customer growth, including within the federal government sector.
AI innovators like Seekr are leveraging OCI’s purpose-built AI capabilities to run the most demanding AI workloads faster and more reliably. OCI Compute bare metal GPU instances can power applications that include natural language processing, computer vision, and recommendation systems. OCI offers superior technical and economical flexibility including lower pricing, bare metal compute and GPU shapes, and easier migration of on-premises applications. Finally, to help ensure customer success, Oracle’s dedicated engineering support team works with customers from planning to launch.
Rob Clark, president, Seekr
OCI was the obvious choice as our international infrastructure partner. Developing next-generation vision-language foundation models for top satellite providers and nation-states analyzing decades of imagery and sensor data requires massive raw GPU compute capacity. Oracle and AMD both came to the table with the infrastructure, top performance multi-node training compute, international presence, and the mindset that makes this possible.
Chris Gandolfo, executive vice president, Oracle Cloud Infrastructure and AI
Running multi-node training and inference efficiently, without overspending or sacrificing performance, can be a challenge for AI companies. With OCI’s purpose-built AI infrastructure, Seekr is able to train LLMs more efficiently at a lower cost. In addition, we’re working closely with Seekr’s team on performance optimization, rapid model iteration, and global infrastructure expansion.
Negin Oliver, corporate vice president of business development, Data Center GPU Business, AMD
Seekr is setting a high bar for performant and efficient end-to-end AI development with its SeekrFlow platform, powered by AMD Instinct MI300X GPUs. We’re proud to work with Seekr as they showcase what’s possible using AMD Instinct GPUs on OCI’s AI enterprise infrastructure.
