Our friends over at Silicon Mechanics put together a guide for the Triton Big Data Cluster™ reference architecture that addresses many challenges and can be the big data analytics and DL training solution blueprint many organizations need to start their big data infrastructure journey. The guide is for a technical person, especially those who might be a system admin in government, research, financial services, life sciences, oil and gas, or a similarly compute-intensive field.
Big Data Clusters: Building the Best Infrastructure Platform for Big Data Workloads
June 18, 2023 by Leave a Comment
Cerebras Wafer-Scale Cluster Brings Push-Button Ease and Linear Performance Scaling to Large Language Models
September 21, 2022 by Leave a Comment
Cerebras Systems, a pioneer in accelerating artificial intelligence (AI) compute, unveiled the Cerebras Wafer-Scale Cluster, delivering near-perfect linear scaling across hundreds of millions of AI-optimized compute cores while avoiding the pain of the distributed compute. With a Wafer-Scale Cluster, users can distribute even the largest language models from a Jupyter notebook running on a laptop with just a few keystrokes. This replaces months of painstaking work with clusters of graphics processing units (GPU).
Exxact Partners with Run:ai to Offer Maximal Utilization in GPU Clusters for AI Workloads
September 14, 2022 by Leave a Comment
Exxact Corporation; a leading provider of high-performance computing (HPC), artificial intelligence (AI), and data center solutions; now offers Run:ai in their solutions. This groundbreaking Kubernetes-based orchestration tool incorporates an AI-dedicated, high-performant super-scheduler tailored for managing GPU resources in AI clusters.
Petabytes to Zettabytes: Operational Challenges of Cluster Infrastructure
June 15, 2021 by Leave a Comment
In this contributed article, Mark Yin, CEO of Platina Systems, points out that infrastructure and how it will be managed is undergoing a metamorphosis due to several key factors. The solutions outlined can help organizations stay on top of complex data issues with solutions that automate infrastructure provisioning and cloud resource life cycle management.
