I'm thrilled to share this incredible video showcasing how CERN is enhancing its data capabilities with Oracle Cloud Infrastructure (OCI). This collaboration opens up a world of new opportunities for AI IaaS with Oracle. Check out the video below to see the groundbreaking work being done!
- CERN's Mission and the LHC: CERN, founded in 1954, is renowned for studying fundamental laws of nature. The Large Hadron Collider (LHC) is their most famous project, colliding particles to observe their interactions.
- High-Luminosity LHC: Set for 2030, this new phase will increase particle collisions by 5 to 7 times, requiring advanced AI to manage and analyze the vast amounts of data generated.
- AI and Generative Models: CERN has been using AI, particularly Monte Carlo simulations, but is now turning to generative AI and transformer-based models to build foundational models for physics-related research.
- Oracle Cloud Infrastructure: Utilizing OCI's resources, including Data Science notebooks and GPUs, CERN can train and test these complex models more effectively. This partnership allows for larger experiments and more detailed analyses.
- Future Applications: The generative models developed can be used for various tasks, such as particle recognition and other downstream applications, leveraging Oracle's expertise and resources.
- Leading AI Performance and Value: OCI AI infrastructure provides top-tier performance and value for all AI workloads, including inferencing, training, and AI assistants.
- Unmatched Scalability: OCI Supercluster offers industry-leading scale with bare metal compute, accelerating training for trillion-parameter AI models, with the capacity to scale up to 32,768 GPUs.
- Sovereign AI Capability: Oracle’s distributed cloud enables deployment of AI infrastructure anywhere, meeting performance, security, and AI sovereignty requirements.
- Comprehensive AI Infrastructure Products: Whether for inferencing, fine-tuning, or training large-scale models, OCI offers industry-leading bare metal and VM GPU cluster options, powered by an ultrahigh-bandwidth network and high-performance storage.
- Advanced GPU Instances: Powered by NVIDIA A10 Tensor Core GPU, GH200 Grace Hopper Superchip, and GB200 NVL72, these instances support AI inferencing, fine-tuning, and training.
- Supercluster GPU Instances: Utilizing NVIDIA A100, H100, H200, and B200 Tensor Core GPUs, these instances accelerate large-scale AI training and inferencing.
- Superior Networking and Storage: RDMA with dedicated cluster networks provides microsecond latency and 3.2 Tb/sec internode bandwidth, while high-performance storage includes NVMe and advanced cluster file systems like BeeGFS, Lustre, and WEKA.
This collaboration between CERN and Oracle is just the beginning of a new era in AI and cloud infrastructure. I'm excited to see the innovative solutions and advancements that will emerge from this partnership.
Questions? Reach out to me: Todd Swank - [email protected]
