In a recent analysis by Sulagna Saha on Techstrong AI, it is highlighted that High-Density QLC SSDs can significantly lower the total cost of ownership (TCO) in environments focused on artificial intelligence. Solidigm’s latest advancements in QLC SSD technology offer not only increased storage capacity but also ensure a more cost-effective solution for data-intensive applications. This cost reduction is pivotal for AI-driven businesses, enhancing their storage infrastructure efficiency and performance economically. Read all of Sulagna’s coverage of AI Data Infrastructure Field Day 1 at Techstrong AI!
Tackling AI Data Infrastructure Energy Challenges with Solidigm
Max Mortillaro discusses the significant energy demands of AI data infrastructure and explores Solidigm’s innovative solutions aimed at addressing these challenges. He highlights the efficiency of Solidigm’s technology in managing and storing data in an environmentally sustainable manner. The article underscores the importance of adopting energy-efficient technology in data centers to not only boost performance but also reduce the environmental impact of the growing AI sector. Read more coverage of AI Data Infrastructure Field Day 1 on the TECHunplugged website!
Data Infrastructure Al Value Creation: Enhancing AI Outcomes
In this LinkedIn Pulse article, Brian Booden explores the critical interdependence between data infrastructure and AI value creation. He discusses how robust data management systems and strategies significantly enhance the efficacy of AI outcomes. Booden also provides insights on optimizing data environments to maximize AI-driven innovations and performance. Read more in this article, inspired by the Solidigm presentation at AI Data Infrastructure Field Day 1.
Exploring the Importance of Data Infrastructure at AI Data Infrastructure Field Day 1
At next week’s AI Data Infrastructure Field Day, our panel of delegates will explore the critical role of robust data architectures in powering AI applications. Tune in Wednesday and Thursday as we learn about the latest data infrastructure solutions from Solidigm, Google Cloud, Pure Storage, HPE, MinIO, and Infinidat. The sessions will be live-streamed on LinkedIn and Techstrong TV and posted to YouTube afterward.
The Critical Role of Advanced Storage in AI Data Infrastructure
AI data infrastructures are increasingly reliant on advanced storage solutions to manage the sheer volume and velocity of data processing demands, as highlighted in Stephen Foskett’s article on Gestalt IT. Solidigm’s contributions to the field, with their state-of-the-art storage technologies, underscore the necessity for innovation and scalability in supporting AI workloads. As AI applications continue to evolve, the selection of sophisticated, capable storage systems becomes a linchpin for the success and efficiency of AI-driven enterprises. This article brings together this entire series, sponsored by Solidigm.
AI Is Pushing Storage and Data Management Harder Than Ever
Former Tech Field Day delegate Chin-Fah Heoh delves into the implications of AI on storage and data management, drawing from Gina Rosenthal’s recent article about Solidigm at AI Field Day. Chin-Fah discusses the escalating demands placed on storage systems by AI workloads, emphasizing the critical need for high-performance solutions. The stages of AI data processing (ingestion, preparation, training, checkpointing, and inferencing) require high read IOPS, ultra-high write throughput, and low latency. Chin-Fah also explores the role of data governance in ensuring the integrity and trustworthiness of data for AI applications. Read more on his blog!
Solidigm and Supermicro Put “Green” in Greenfield
Supermicro and Solidigm are actively tackling the intensifying demands of AI workloads with their efficient, rack-sized storage solutions, designed to streamline AI data pipelines, as discussed at a recent AI Field Day event. They are engineering a three-tiered platform specifically to accommodate the diverse needs of AI processes—from data ingestion and transformation to training and inference—enhancing performance with high-speed, high-density SSDs from Solidigm. As AI data centers seek to become more environmentally sustainable, the partnership underscores their commitment to delivering solutions that not only meet the technical demands of AI but also pave the way for greener computing practices. Read more in this article by Andy Banta, sponsored by Solidigm.
Solidigm – a Bigger, Faster, and More Efficient Storage for AI
Solidigm’s AI Field Day presentation highlighted the critical role of large-scale, high-efficiency storage solutions like NAND flash memory in meeting the evolving demands of AI, as covered by tech analyst Ben Young. The company, born from the union of Intel’s NAND SSD business and SK Hynix, demonstrates expertise in delivering high-density QLC SSDs, such as the D5-P5336 model, which significantly outperforms traditional HDDs in capacity and speed while reducing energy consumption. Solidigm’s storage innovations, offering up to 61.44TB per slim drive, not only future-proof AI infrastructure but also promise to drive advancements across various industries by improving training times and real-time decision-making capabilities.
Solidigm SSDs for the AI Era – Small Size, Big Value
Solidigm’s presentation at AI Field Day focused on their ambition to deliver industry-leading storage solutions that address the escalating storage and energy consumption needs of AI workloads, as Sulagna Saha reports for Gestalt IT. Positioning itself as a provider of affordable, high-capacity SSDs, Solidigm’s D5-P5336 model stands out with its 61TB capacity within a compact 2.5” form factor, presenting a pathway to significantly lower TCO and energy costs for massive AI deployments. The company’s innovative storage solutions, coupled with Cloud Storage Acceleration Layer (CSAL) technology, promise to streamline data flow to GPUs, enhancing model training and inferencing performance across varied AI workflows.
Solidigm and Why Storage Is Critical to the Success of AI
At AI Field Day, experts from Solidigm and Supermicro illuminated the critical role of high-performance storage in ensuring the success of Generative AI, which demands instant, uninterrupted access to massive datasets. Efficient storage solutions are paramount to prevent downtime, which can lead to significant loss in both productivity and financial terms. Their discussion underlined the importance of structuring and cataloging data for future use, emphasizing that optimized storage systems with high IOPS (Input/Output Operations Per Second) are essential for Generative AI’s accelerating growth and the reliable generation of actionable insights. Read more in this article by Jeff Powers for Gestalt IT, sponsored by Solidigm.
Keeping GPUs Fed Around the Clock, With Solidigm
As discussed at AI Field Day, Solidigm’s storage system addresses the diverse and intense demands of AI workloads, ensuring GPUs remain constantly fed with data. Recognizing the variety in I/O patterns and the substantial data processing required for machine learning, Solidigm’s SSDs offer superior performance for sequential and random read/write activities, consuming less power and space in datacenters. Additionally, their Cloud Storage Acceleration Layer (CSAL) software enhances the durability and efficiency of SSDs by optimizing write patterns, making it an open-source boon for those seeking to streamline AI-based operations. Read more in this Gestalt IT article by Sulagna Saha.
Exploring Data in the AI Era With Solidigm – New Data Insights Series
The TechArena has launched a Data Insights Series, joining forces with Solidigm, where they will explore the intricate landscape of data in the AI era. Hosted by Allyson Klein with Jeniece Wronowski and Ace Stryker from Solidigm, the series will delve into the objectives of understanding and leveraging data, underscoring the central role of SSD innovation in crafting modern data pipelines. This initiative aims to shed light on the transformative influence of storage solutions in AI advancements, positioning SSDs as a cornerstone technology in data-centric environments.
Don’t Let Storage Be Your AI Training Kryptonite
In the rapidly advancing field of AI, efficiently managing checkpoints during model training is crucial, and Solidigm’s QLC drives offer a solution that mitigates the risk of slow storage becoming a bottleneck. Their high-performance drives support the significant read/write operations required for frequent checkpointing, enabling data scientists to maintain efficient workflows and reduce training costs. Solidigm’s dense storage enclosures optimize data centre space while providing the necessary infrastructure for high-capacity AI datasets, proving that fast storage is the unsung hero in the race towards AI innovation. Read more in this article by Ben Young, reacting to AI Field Day.
Why Storage Matters for AI: Solidigm Shares POV at AI Field Day
During AI Field Day, Solidigm’s Ace Stryker and Alan Bumgarner illustrated the pivotal role of SSDs in AI applications, showcasing how they cater to the high data demands of models and workflows with increased efficiency. They highlighted the superiority of SSDs over HDDs in terms of performance and Total Cost of Ownership, emphasizing the tangible benefits from greater data density to reduced physical infrastructure needs. The presentation honed in on the importance of storage in AI, linking Solidigm’s advanced SSD solutions with scalable and power-efficient AI server operations, resonating with sustainability goals and operational cost reduction.
Does Storage Matter in AI Inferencing? What About the SSD?
Keith Townsend reacts to Solidigm’s presentation at AI Field Day, considering the role of storage systems in AI inferencing and the impact of SSD selection on AI system design. This video underscores the significance of considering storage performance and reliability when devising robust AI inferencing architectures. Solidigm’s discussion reflected a deeper industry focus on the intricate relationship between storage solutions and AI capabilities, suggesting that the choice of SSDs could be a pivotal factor in optimizing AI inferencing operations.
Insights From the AI Field Day: A Futurum Group Overview
In this LinkedIn Pulse article, Paul Nashawaty of The Futurum Group summarizes all of the AI Field Day presentations, highlighting VMware’s deep dive into Private AI in collaboration with industry giants like NVIDIA and IBM, and Intel’s focus on deploying AI inference models with Xeon CPUs across diverse environments. Next-generation AI-infused storage solutions from Solidigm and SuperMicro underscored the critical role of optimized storage in AI, while Vast Data focused on addressing the growing data demands of AI and HPC workloads. Google Cloud’s session on AI platforms and infrastructures showcased innovative approaches with Kubernetes at the core, paving the way for accessible and powerful AI development and deployment.
Storage for AI: Data Professional Overview
The use of the term ‘data management’ is subject to varying interpretations between data professionals and storage providers, leading to some confusion when discussing the scope of services. Solidigm highlights the unique storage requirements for AI, as Karen Lopez wrote, emphasizing that AI servers need significantly more capacity and have specific data demands across different stages: Data ingest, Data prep, Training, Checkpointing, and Inference. As data professionals, our understanding of these distinct data workloads enables us to contribute valuably to discussions on data architecture, especially in collaboration with companies like Supermicro, who integrate these storage solutions into their AI server offerings.
Why Storage Matters for AI – Solidigm
During AI Field Day 4, Solidigm, alongside partner Supermicro, spotlighted the pivotal role of storage in AI, as discussed by Gina Rosenthal. Ace Stryker of Solidigm emphasized the need to shift from HDDs to solid-state drives, aligning with the trends of chip spending growth and the demand for higher storage in AI servers. Supermicro’s Wendell Wenjen and Paul McLeod further discussed the integration with WEKA and the importance of storage in AIOps, indicating that a substantial portion of Supermicro’s revenue is derived from AI-related ventures.
The Year of AI at AI Field Day 4
AI Field Day returns on February 21st-23rd, giving a broad perspective on AI’s foundational technologies in a year touted to be pivotal for artificial intelligence. Attendees can expect in-depth sessions with industry giant Intel as well as key players VMware by Broadcom, Qlik, Hammerspace, Solidigm, VAST Data, and many more. This event explores revolutionary AI applications and their infrastructure demands, and will be broadcast live for a global audience. Watch live on LinkedIn and the Tech Field Day website and catch the recordings on YouTube!
Spinning Disk Use Cases Are Getting Smaller
Jim Jones shares his perspective on the evolving landscape of data storage, noting the diminishing number of use cases for spinning disk technology in his latest blog post. As the performance gap between spinning disks and SSDs continues to widen, he explores the implications for enterprises and their storage strategies. Dive into his analysis to understand the current state of storage solutions and the direction in which the industry is headed.
