Innovation in the enterprise SSD market driven by Phison
Phison, a leading innovator in the enterprise SSD market, is driving the future of data-intensive applications with its Pascari SSDs. Michael Wu, GM & President, presented at AI Infrastructure Field Day, highlighting Phison’s commitment to innovation, focusing on performance and reliability in the enterprise space. Wu shared insights into the company’s journey, from its origins […]
GPU Memory Offload for LLM fine-tuning and inference with Phison aiDAPTIV+
With aiDAPTIV+, Phison makes on-premises AI processing more accessible and affordable, especially for small and medium-sized businesses, government entities, and educational institutions. CTO Sebastien Jean explained that the primary goal of Phison’s solution is to facilitate fine-tuning of large language models (LLMs) on-site. Fine-tuning often demands significantly more memory than inference, making it expensive and […]
Affordable on premises LLM training and inference with Phison aiDAPTIV+
Phison’s show their aiDAPTIV+ technology, designed to make on-premises AI processing more affordable and accessible, particularly for small to medium-sized businesses, governments, and universities. The core of their innovation lies in leveraging flash storage to offload the memory demands of large language models (LLMs) from the GPU. This approach addresses the growing challenge of limited […]
Industry First SSDs Tackle AI Challenges with Solidigm
Solidigm’s Director of Leadership Narrative and Evangelist, Scott Shadley, introduces their new SSDs designed to tackle the challenges of AI infrastructure. Shadley begins by highlighting the industry-first status of their 122TB SSDs, emphasizing their potential to revolutionize storage solutions. He shares a case study involving Dell, who is excited to potentially introduce this product, illustrating […]
Why Storage Matters to AI in 2025 with Solidigm
Solidigm focused on the evolving role of storage in AI, specifically highlighting its significance in the AI data pipeline through 2025. The presentation emphasizes that the AI workflow involves a series of distinct tasks, each with unique demands on hardware, and that it’s often distributed among different organizations. The presentation identifies six primary stages in […]
AI Data solutions are not One Size Fits All with Solidigm
Solidigm’s presentation focuses on AI performance and efficiency, highlighting the role of high-performance SSDs in addressing the challenges of rapidly growing AI development and optimizing the total cost of ownership. Scott Shadley, Director of Leadership Narrative and Evangelist at Solidigm, begins by framing the need for diverse storage solutions to accommodate AI’s massive data demands, […]
Getting to Know the Unsung Hero of AI Infrastructure with Solidigm
Solidigm’s presentation at AI Infrastructure Field Day emphasized the critical role of data storage in the evolving landscape of AI solutions, using the framework of the AI data pipeline. The amount of data used for training an AI model directly correlates with its accuracy, making storage a critical infrastructure component. Ace Stryker, the Director of […]
Day 2: Operating your AI data center with Juniper Networks
Juniper Networks presented its latest Apstra functionality for AI data center network operations at AI Infrastructure Field Day. It focused on providing operators with the context and tools to manage complex AI networks efficiently. Jeremy Wallace, a Data Center/IP Fabric Architect, emphasized the importance of context in understanding the network’s expected behavior to identify and […]
Day 1: Managing your AI data center at scale with Juniper Networks
This presentation by Kyle Baxter focuses on how Juniper Networks’ Apstra solution can manage AI data centers at scale. Apstra simplifies network configuration for AI/ML workloads by providing tools to assign virtual networks across numerous ports, an essential capability in environments with potentially millions of ports. The core of the presentation highlights the ability to […]
Day 0: Designing your AI data center with Juniper Networks
Juniper Networks’ presentation at AI Infrastructure Field Day focuses on designing AI data centers using Apstra, specifically emphasizing rail-optimized designs and highlighting Apstra’s ability to create a fully functional network architecture in just minutes, incorporating native modeling for these specialized designs. Kyle Baxter, Head of Apstra Product Management at Juniper Networks, demonstrates how Apstra simplifies […]
GPYOU: Building and Operating your AI Infrastructure with Juniper Networks
AI infrastructure is a critical but complex domain, and IT organizations face the pressure to deliver results quickly. Juniper Networks shows Juniper Apstra as a solution to streamline the management of AI data centers, providing proven designs. Kyle Baxter emphasizes the necessity of a robust network foundation for AI and ML workloads and highlights the […]
Securing AI Clusters, Juniper’s Approach to Threat Protection with Juniper Networks
AI clusters are high-value targets for cyber threats, requiring a defense-in-depth strategy to safeguard data, workloads, and infrastructure. Kedar Dhuru highlighted how Juniper’s security portfolio provides end-to-end protection for AI clusters, including secure multitenant environments, without compromising performance. The presentation addressed the challenges of securing AI data centers, focusing on securing WAN and data center […]
Maximize AI Cluster Performance using Juniper Self-Optimizing Ethernet with Juniper Networks
Vikram Singh, Sr. Product Manager, AI Data Center Solutions at Juniper Networks, discussed maximizing AI cluster performance using Juniper’s self-optimizing Ethernet fabric. As AI workloads scale, high GPU utilization and minimized congestion are critical to maximizing performance and ROI. Juniper’s advanced load balancing innovations deliver a self-optimizing Ethernet fabric that dynamically adapts to congestion and […]
AI Unbound, Your Data Center Your Way with Juniper Networks
Praful Lalchandani, VP of Product, Data Center Platforms and AI Solutions at Juniper Networks, opened the presentation by highlighting the rapid growth of the AI data center space and its unique challenges. He noted that Juniper Networks, with its 25 years of experience in networking and security, is uniquely positioned to address these challenges and […]
Secure and optimize AI and ML workloads with the Cross-Cloud Network with Google Cloud
Vaibhav Katkade, a Product Manager at Google Cloud Networking, presented on infrastructure enhancements in cloud networking for secure, optimized AI/ML workloads. Focusing on the lifecycle of AI/ML, encompassing training, fine-tuning, and serving/inference, and the corresponding network imperatives for each stage. Data ingestion relies on fast, secure connectivity to on-premises environments via interconnect and cross-cloud interconnect, […]
Cloud WAN Connecting networks for the AI Era with Google Cloud
This presentation by Aniruddha Agharkar, Product Manager at Google Cloud Networking, centers on Cloud WAN, Google’s fully managed backbone solution designed for the enterprise era and powered by Google’s planet-scale network. Customers have historically relied on bespoke networks using leased lines and MPLS providers, leading to inconsistencies in security, operational challenges, a lack of visibility, […]
AI Hypercomputer and TPU (Tensor) acceleration with Google Cloud
Rose Zhu, a Product Manager at Google Cloud TPU, presented on TPUs for large-scale training and inference, emphasizing the rapid growth of AI models and the corresponding demands for compute, memory, and networking. Zhu highlighted the specialization of Google’s TPU chips and systems, purpose-built ASICs for machine learning applications, coupled with innovations in power efficiency, […]
AI hypercomputer and GPU acceleration with Google Cloud
Dennis Lu, a Product Manager at Google Cloud specializing in GPUs, presented on AI hypercomputer and GPU acceleration with Google Cloud. Lu covered Google Cloud’s AI hypercomputer, from consumption models to purpose-built hardware. Focus was given to Google’s cluster director for managing GPU fleets. Dennis then moved to the hardware aspect of Google Cloud’s AI […]
Analytics Storage and AI, Data Prep and Data Lakes with Google Cloud
Vivek Sarswat, Group Product Manager at Google Cloud Storage, presented on analytics storage and AI, focusing on data preparation and data lakes. He emphasized the close ties between analytics and AI workloads, highlighting key innovations built to address related challenges. The presentation demonstrates that analytics play a crucial role in the AI data pipeline, particularly […]
The latest in high-performance storage, Rapid on Colossus with Google Cloud
Michal Szymaniak, Principal Engineer at Google Cloud, presented on Rapid Storage, a new zonal storage product within the cloud storage portfolio, powered by Google’s foundational distributed file system, Colossus. The goal in designing Rapid Storage was to create a storage system that offers the low latency of block storage, the high throughput of parallel file […]
Intro to Managed Lustre with Google Cloud
Dan Eawaz, Senior Product Manager at Google Cloud, introduced Managed Lustre with Google Cloud, a fully managed parallel file system built on DDN Exascaler. The aim is to solve the demanding requirements of data preparation, model training, and inference in AI workloads. Managed Lustre provides high throughput to keep GPUs and TPUs fully utilized and […]