Innovations in the Pure Storage Platform Help Customers Keep Pace with AI’s Rapid Evolution

Pure Storage® (NYSE:PSTG), the IT pioneer that delivers advanced data storage technologies and services, announced new capabilities in the Pure Storage platform that are changing the game for how IT and business leaders can radically improve their ability to deploy AI, improve cyber resilience, and modernize their applications.

Hammerspace Advances GPU Data Orchestration Capabilities to Accelerate Access to S3 Data

Hammerspace, the company orchestrating the next data cycle, today announced the addition of the S3 interface to its Global Data Platform, advancing the orchestration of existing data sets to available compute resources. With today’s announcement, Hammerspace continues to offer organizations new, advantageous ways to manage and leverage data. By adding S3 to all other standard protocols for data ingestion, the Hammerspace platform ensures a seamless and efficient transfer of existing data into a global file system fueled by its automated orchestration system.

Western Digital Introduces New AI Data Cycle Storage Framework to Help Customers Capture the Value of AI  

Fueling the next wave of AI innovation, Western Digital (NASDAQ:  WDC) introduced a six-stage AI Data Cycle framework that defines the optimal storage mix for AI  workloads at scale. This framework will help customers plan and develop advanced storage  infrastructures to maximize their AI investments, improve efficiency, and reduce the total cost of  ownership (TCO) of their AI workflows.  

In the Era of Cloud and AI, Hard Drives are More Critical than Ever Before 

In this contributed article, Jason Feist, Seagate’s Senior Vice President of Products and Markets, believes that amidst the data center boom and growth of AI, data storage is more important than ever, and it’s high time we revisit the HDD vs. SSD debate. While flash offers latency advantages and prices dropped temporarily, SSDs haven’t – and
never will – replace HDDs,

Keep it Simple, Storage

In this contributed article, Jordan Winkelman, Quantum’s Field CTO, discusses how organizations across industries are facing a shift in infrastructure and storage requirements to deliver incredible performance, flexibility, and scalability on a level we’ve never seen before because of the proliferation of AI technologies. Moving forward, there will be a major focus on simplicity in storage—often through the use of AI—to keep up with changing demands, allowing organizations to maximize AI to give them a competitive advantage.

Why the Modern Data Stack is Broken and How to Fix It

In this contributed article, Stavros Papadopoulos, Founder and CEO, TileDB, discusses how we are quickly reaching a threshold where the vulnerabilities of the modern data stack are starting to outweigh its advantages. Here’s what we need to do next.

Kinetica Delivers Real-Time Vector Similarity Search

Kinetica, the real-time GPU-accelerated database for analytics and generative AI, unveiled at NVIDIA GTC its real-time vector similarity search engine that can ingest vector embeddings 5X faster than the previous market leader, based on the popular VectorDBBench benchmark.

DDN AI400X2 Turbo Appliance Accelerates Gen AI and Inference for Data Center and Cloud by 10x

DDN®, a global leader in artificial intelligence (AI) and multi-cloud data management solutions, announced the latest addition to its powerful A3I® solutions, the DDN AI400X2 Turbo. 30% more powerful than the AI400X2, the previous industry performance leader, the AI400X2 Turbo boasts faster performance and expanded connectivity options.

Pure Storage Accelerates Enterprise AI Adoption to Meet Growing Demands with NVIDIA AI 

Pure Storage® (NYSE: PSTG), the IT pioneer that delivers advanced data storage technology and services, today announced new validated reference architectures for running generative AI use cases, including a new NVIDIA OVX-ready validated reference architecture. As a leader in AI, Pure Storage, in collaboration with NVIDIA, is arming global customers with a proven framework to manage the high-performance data and compute requirements they need to drive successful AI deployments. 

Embracing the Agile Data Platform: A Key to Business Survival Today

In this contributed article, Philip Miller, a Customer Success Manager, Senior, for Progress, discusses how embracing an agile data platform, which enables an organization to navigate the complex volume of data effectively, is crucial for survival in today’s data-driven business landscape. In today’s global marketplace, moving from a rigid data management to a dynamic platform allows organizations to extract meaningful insights quickly, which in turn fosters innovation and resilience.