Stephen Foskett provides an in-depth analysis of the presentations and technological showcases at Tech Field Day during his December 18 appearance on Techstrong Gang. He focuses on the innovative uses of artificial intelligence in enterprise technologies, which were highlighted during the event. For additional insights and coverage on Tech Field Day, watch Stephen Foskett’s regular appearances on Techstrong Gang.
Nature Fresh Farms Leverages Intel and AI to Maximize Yield
At Nature Fresh Farms, leveraging Intel technology and advanced AI capabilities has significantly enhanced agricultural operations and maximized crop yields. Through the strategic use of data analytics and machine learning, the company is able to predict crop growth patterns, optimize greenhouse conditions, and reduce waste while increasing production efficiency. This innovative integration exemplifies how cutting-edge technology is transforming the farming industry, leading to more sustainable practices and improved outcomes. Read more in this Gestalt IT article by Girard Kavelines, sponsored by Intel and focused on their AI Field Day 4 presentations.
Running Enterprise Industry Specific Private AI with Intel, and VMware by Broadcom
Discover the impact of merging AI with industry-specific solutions in a recent exploration by Broadcom, where they teamed up with Intel and VMware to enhance enterprise operations. This initiative focuses on utilizing private AI infrastructure to drive efficiency and innovation, addressing unique industry challenges while maintaining data privacy and security. Learn more in this Gestalt IT article by Liselotte Foverskov, sponsored by Intel and focused on their presentation at AI Field Day 4.
Google Cloud Re-Architects Infrastructure for AI Era
Allyson Klein provides insights into how Google Cloud is reshaping its infrastructure to support the surge in AI applications, catering to the needs of the next generation of computing. The article focuses on Google’s collaboration with Intel to optimize hardware and software stacks, ensuring they meet the performance and scalability requirements that AI-driven workloads demand. This re-architecting effort signifies a strategic pivot towards AI-readiness, reflecting Google Cloud’s commitment to empowering developers and enterprises with cutting-edge AI capabilities. Read more about Intel’s AI capabilities in this series of sponsored posts on Gestalt IT following AI Field Day 4.
Unveiling the Role of CPUs in AI Inference and a Growing Trend of Accelerator Alternatives With Intel
In this Gestalt IT article, Colleen Coll considers Intel’s approach to AI inference, examining the evolving role of CPUs and the rising inclination towards specialized accelerator alternatives. Her write-up unveils how Intel is navigating this shift, focusing on optimizing CPUs for AI tasks while also embracing the potential of dedicated accelerators for more demanding workloads. The article highlights Intel’s strategic efforts to meet diverse AI computational needs, ensuring they remain at the forefront of high-performance AI innovation. This sponsored article follows Intel’s presentation at AI Field Day 4 earlier this year.
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!
VAST Data Releases New DASE Architecture Based on NVIDIA BlueField-3 DPU
VAST Data introduced their revolutionary DASE (Disaggregated Shared Everything) Architecture at AI Field Day, which integrates NVIDIA BlueField-3 DPUs to deliver superior performance for AI-driven data centers, as explained by Sulagna Saha. This architecture enables independent scaling of compute and storage resources, simplifying operations and reducing costs with easy management, particularly benefiting cloud service providers. Alongside significant energy savings, the VAST Data Platform offers robust quality of service and enhanced security by isolating data management from host systems, marking a leap forward for high-performance computing environments like those of NASA and NIH. Read more in this Gestalt IT article by Sulagna Saha.
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.
Intel Xeon CPUs – How Efficiency Makes It a Top Contender for AI Inference
In the AI arms race, Intel’s latest 5th generation Xeon processors have emerged as a powerful and efficient alternative to GPUs for certain AI workloads, according to Ben Young’s AI Field Day article. With a 36% performance boost in specialized AI tasks enabled by Advanced Matrix Extensions (AMX), these CPUs accelerate deep learning particularly for AI inference, offering a cost-effective option for applications with lighter and less frequent processing needs. Intel’s dedication is clear as they bolster their CPUs’ AI capabilities and facilitate developers with tools like the OpenVINO toolkit, positioning Xeon CPUs as a feasible choice for an array of AI workloads, balancing the scale with GPUs based on the specific requirements of the task. Read more in this Gestalt IT article by Ben Young, sponsored by Intel.
Building a Future-Proof AI Foundation With VMware Private AI
VMware’s presentation on Private AI at AI Field Day emphasized their forward-looking approach in creating a scalable and secure foundation for enterprises investing in artificial intelligence. Their platform addresses the challenges of AI deployment and management, optimizing compute resources and providing robust data processing capabilities. With VMware’s Private AI, businesses are empowered to harness the full potential of AI applications while ensuring compliance and protecting sensitive data. Read more in this Gestalt IT article by Sulagna Saha!
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.
Hammerspace Global Data Environment – a Shared Space for All the Data
Hammerspace’s presentation at AI Field Day showcased its Global Data Environment, which streamlines data orchestration for AI model training by providing global real-time visibility and access to distributed datasets. The company’s innovative approach decouples file system metadata from the underlying storage, enabling a universal access layer across geographies and cloud platforms. By facilitating a shared metadata control plane, Hammerspace ensures seamless user experience and efficient data management for complex enterprise AI workflows. Read more in this Gestalt IT article by Sulagna Saha.
Credible Content From the Community is More Important than Ever
There is a hazardous amount of AI-generated and SEO-oriented content being generated, and the solution is real stories from real communities. In the first episode of Tech Field Podcast, recorded on-site at AI Field Day, Stephen Foskett chats with Frederic Van Haren, Gina Rosenthal and Colleen Coll about confronting inauthentic content.
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.
No-Code Machine Learning With Qlik AutoML
At AI Field Day, Qlik launched AutoML, a revolutionary no-code machine learning capability within Qlik Cloud, empowering enterprises to harness predictive analytics without the barriers of cost or lack of expertise. This innovative feature allows organizations to effortlessly integrate algorithmic prediction into their workflows, enabling data-driven decision-making across various departments from sales to finance. AutoML stands out as a tool that simplifies machine learning, offering a straightforward approach where users can develop models and analyze future trends with just a few clicks, transforming complex data science into actionable insights. Read more in this article by Sulagna Saha from Gestalt IT.
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.
Nature Fresh Farms – Optimizing Indoor Farming Practices With AI and Intel
At AI Field Day, Nature Fresh Farms, a leader in greenhouse farming in North America, revealed how the strategic use of Intel AI solutions revolutionized their farming practices towards precision agriculture. Keith Bradley highlighted the transition from traditional to high-tech farming, with on-premises Intel-based infrastructure enabling real-time data analytics for improved yield, resource efficiency, and operational control. Emphasizing sustainability and the growing importance of AI in agriculture, Bradley shared how Nature Fresh Farms harnesses predictive AI models on the farm, leveraging technology to optimize every aspect from irrigation to packaging and contributing to a marked increase in yield per square meter annually. Read more in this Gestalt IT article by Sulagna Saha.
