Hewlett Packard Enterprise (HPE) is pioneering a structured approach to transitioning artificial intelligence (AI) projects from pilot stages to full-scale production through its initiative, the AI Factory. This strategic deployment aims to streamline the process and overcome common scalability challenges associated with AI implementations. For more insights from AI Infrastructure Field Day, watch Techstrong AI.
From Prototype to Production: Solving the Enterprise AI Deployment Problem
Organizations face challenges in scaling AI due to organizational friction, data security concerns, undefined strategic foundations, and cost and reliability issues. HPE’s Private Cloud for AI (PCAI) addresses these challenges by providing a co-engineered, turnkey solution that keeps data under organizational control, accelerates development, and offers predictable costs. PCAI combines HPE hardware, Nvidia GPUs, and software, including HPE’s AI Essentials and Nvidia’s AI software stack, to provide a comprehensive platform for AI deployment. Read more AI Infrastructure Field Day coverage by Jack Poller at LinkedIn!
Hammerspace Embraces Standards at AIIFD3
Mark Houtz discusses how Hammerspace is adopting standards at the AI Infrastructure Field Day event, emphasizing the company’s commitment to integration and industry conformity. He explores the significance of these standards in enhancing operational efficiency and ensuring compatibility across diverse systems. For more extensive coverage on this topic, visit the contributions by the delegates on their blogs and at LinkedIn!
Why Your GPUs Are Waiting: The Data Speed Problem in AI Workloads
In this insightful article by Jack Poller, the focus is on the frequently overlooked issue of data speed bottlenecks that significantly hinder GPU performance in AI tasks. Poller explains how the inadequate pace of data delivery to GPUs can lead to underutilization, slowing down the process despite the rapid computational abilities of GPUs. Explore further coverage of Hammerspace at AI Infrastructure Field Day on LinkedIn!
AI-Ready Storage Explained: Hammerspace’s Unified Data Solution
Hammerspace offers a unified data solution for AI workloads, aggregating storage infrastructure into a single namespace for high-speed data access and improved GPU utilization. They are also leading the Open Flash Platform initiative for efficient exabyte-scale data storage. Read more coverage of AI Infrastructure Field Day on Techstrong AI!
How CTERA Plans to Fix What’s Breaking Enterprise AI
CTERA is tackling the complexities that hinder enterprise AI by enhancing data management and storage solutions, ensuring robust and scalable infrastructure. By focusing on fixing bottlenecks related to data accessibility and management, CTERA aims to streamline operations and support advanced AI deployments. For more coverage of CTERA’s initiatives, follow updates by Jack Poller and others on Techstrong AI.
AI Safety Rules and the Future of Data Centers
In this episode of Techstrong Gang, the panel explores the emerging dialogue around AI safety rules and their anticipated impact on future data center operations, addressing growing concerns over AI reliability and security. They also examine the potential influence these regulations could have on architectural and strategic shifts within data center ecosystems. The episode includes coverage of the recent AI Infrastructure Field Day event in a long segment.
The AI Infrastructure Paradox: When Buying GPUs Is Just the Beginning
Rafay is an AI cloud enabler that automates the AI stack, simplifying infrastructure orchestration and reducing costs for large enterprises. It offers multi-tenancy, standardization, and application-centric delivery, empowering organizations to operationalize AI without extensive internal development. Watch for more coverage of AI Infrastructure Field Day on LinkedIn!
Transforming GPU-as-a-Service into AI Cloud with Rafay
The conversation around AI infrastructure often focuses on hardware, but the real opportunity lies in bridging the gap between renting raw GPU power and delivering a true, self-service AI cloud experience. A true AI cloud must offer self-service consumption, robust multi-tenancy, and an application-centric approach to simplify infrastructure complexity. Rafay’s platform helps GPU providers and enterprises build and operate AI clouds, offering automation, governance, and cost-effective solutions tailored for AI infrastructure. Watch for more coverage of AI Infrastructure Field Day on Techstrong AI!
How Broadcom’s Three-Chip Strategy Tackles AI’s Biggest Networking Bottleneck
Broadcom’s innovative three-chip strategy addresses significant networking bottlenecks in artificial intelligence (AI) by optimizing data movement efficiency across different network layers. Utilizing a combination of its Tomahawk, Jericho, and Ramon chips, the strategy enhances compute and storage connectivity, ensuring faster and more reliable data handling essential for AI applications. Find more coverage of AI Infrastructure Field Day by Jack Poller, watch Techstrong AI!
From GPU Gold Rush to Revenue Reality: How Mirantis k0rdent Transforms AI Infrastructure Dreams into Dollars
In the fast-evolving world of artificial intelligence, Mirantis is making waves with its k0rdent platform, revolutionizing how businesses capitalize on GPU-intensive workloads. This transformative tool not only optimizes AI infrastructure but also significantly enhances the operational efficiency and revenue streams of enterprises engaged in AI and machine learning endeavors. Additional insights and coverage on this topic have been provided by Jack Poller on Techstrong AI.
Hammerspace and the Open Flash Platform at #AIIFD3
In this article, Ray Lucchesi discussed Hammerspace’s collaboration with the Open Flash Platform, highlighting its role at the AIIFD3 event. The focus was on how this partnership might leverage AI to enhance data management and storage solutions. For more in-depth coverage of AI Infrastructure Field Day, visit Ray Lucchesi’s blog on Silverton Consulting.
Software is Automating Your AI Data Centre Infrastructure
Hardware always matters, especially in AI and now software is automating your AI data centre infrastructure. This episode of the Tech Field Day podcast features Gina Rosenthal, Barton George, Andy Banta, and Alastair Cooke. Generative AI brought new hardware into enterprise data centres; GPUs, TPUs, NPUs, XPUs all offload AI processing from CPUs for more performance and efficiency. Feeding these accelerators requires fast networks and fast storage, common topics for AI Infrastructure Field Day events. In parallel, sophisticated software to automate the deployment and operation of this new hardware is vital to return value fast and optimize the value from the hardware investment. Automation platforms are moving up towards delivering multiple AI applications on shared XPU infrastructure, where AI inference delivers the business value.
Pushing the Boundaries of AI Performance, Scale, and Innovation at AI Infrastructure Field Day 3
Tech Field Day is heading back in Santa Clara, California on September 10th and 11th for AI Infrastructure Field Day 3. You can watch live on the Tech Field Day website, LinkedIn Page, or Techstrong TV to see how the boundaries of performance, scalability, and innovation are being pushed by our presenting companies. The event […]
