Mobility Field Day 11 promises to be an exciting event for professionals interested in the latest advancements in wireless technology. As Tom Hollingsworth’s article hints, this gathering is an excellent opportunity for industry experts to explore new products, discuss emerging trends, and share insights. Learn more about the latest wireless products from Arista, Celona, Cisco, Fortinet, Juniper Networks, Ubiquiti, and eino next Wednesday and Thursday, and watch for more coverage on LinkedIn!
Palo Alto Networks Enhances Cloud Data Security With DSPM and DDR
Palo Alto Networks is stepping up cloud data security by introducing two powerful solutions, Data Security Posture Management (DSPM) and Data Detection and Response (DDR). These tools are engineered to provide businesses with greater visibility and control over their data in cloud environments, ensuring compliance and safeguarding against potential breaches. Leveraging advanced analytics and real-time monitoring, Palo Alto Networks’ enhancements offer a more comprehensive approach to securing sensitive information in the cloud. Learn more in this Gestalt IT article by Sulagna Saha.
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.
CyberSense’s AI-Based Detection for Maximum Confidence
CyberSense from Index Engines delivers an AI-based analytics tool that provides organizations with enhanced confidence in their ability to detect and recover from cyberattacks. The solution offers a robust layer of defense that goes beyond traditional data recovery methods, validating the integrity of data before restoration. With CyberSense’s cutting-edge AI detection, enterprises can significantly minimize the risk of data corruption and ensure maximum data fidelity in the wake of security breaches. Read Sulagna Saha’s article at Gestalt IT to learn more.
Aryaka Launches Unified SASE Delivered as a Service
Aryaka Networks has announced the launch of its Unified SASE solution, providing a seamless, as-a-service offering aimed at reinventing enterprise network security and optimization. This new service integrates cutting-edge security capabilities into Aryaka’s global SD-WAN platform, catering to the modern enterprise’s demand for a comprehensive, agile, and secure networking infrastructure. With Aryaka’s Unified SASE, businesses can look forward to a simplified deployment and management experience while ensuring robust security standards for their distributed workforces. Read more in this article by Sulagna Saha at Gestalt IT.
Data Quality is More Important Than Ever in an AI World with Qlik
In our AI-dominated world, data quality is the key to building useful tools. This episode of the Tech Field Day podcast features Drew Clarke from Qlik discussing best practiced for integrating data sources with AI models with Joey D’Antoni, Gina Rosenthal, and Stephen Foskett before Qlik Connect in Orlando.
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!
Guaranteed Performance Outcomes With Nile Access Service
At Networking Field Day, Suresh Katukam, Co-founder and CPO of Nile, introduced the Nile Access Service architecture, aiming to alleviate complexities in modern networks by providing guaranteed performance outcomes. Nile’s approach simplifies network operations with streamlined solution architecture, integrating wired security, wireless coverage, and management into a service-consumable model. The company emphasizes eliminating the pain points of product-centric innovation by unifying disparate technologies under a service that promises broad automation, AI-driven observability, and zero-trust security by design. 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.
Improving Network Operations With a Doppelganger From Forward Networks
Forward Networks introduced innovative ways to improve network operations using a digital twin of any network at Networking Field Day, simplifying complex environments for diverse operational teams. Their solution, Forward Enterprise, captures detailed configuration and state data, enabling queries through a SQL-like language without requiring deep knowledge of specific vendor syntax. Additionally, their AI-powered features, AI Assist and Summary Assist, transform natural language into precise queries and summaries, respectively, facilitating even quicker access to critical network information, thus enhancing efficiency across the board. Read more in this Gestalt IT article by Bruno Wollmann, sponsored by Forward Networks.
Taking Security Seriously at Security Field Day 11
Mark your calendars for Wednesday and Thursday, April 10 and 11, and join Tech Field Day for Security Field Day, featuring industry leaders Aryaka, Index Engines, Zerto, and Palo Alto Networks. The event kicks off with Aryaka’s presentation on their SASE-as-a-Service, followed by Zerto discussing ransomware prevention, and Palo Alto Networks on Data Security Posture Management. On Thursday we have Index Engines unveiling their newest CyberSense capabilities. Tune in for the live event on LinkedIn and check out the Tech Field Day YouTube channel for on-demand replays.
Using AI to Enhance Forward Networks NQE
In this article, Tom Hollingsworth highlights Forward Networks’ new AI Assist feature for their Network Query Engine (NQE), emphasizing a user-friendly approach to complex network queries. This feature allows professionals to input plain language requests which are then translated into precise NQE syntax by AI, ensuring transparency and fostering a deeper understanding of the underlying system. Forward Networks’ approach to integrating AI not only streamlines the process of extracting network insights but also acts as a learning tool, bridging the gap between user intent and technical query execution. Read more in this Networking Field Day article sponsored by Forward Networks.
Forward Networks – Building Complete Confidence in AI Systems
At Networking Field Day, Forward Networks unveiled AI Assistant, a natural language interface enhancing its platform with generative AI, signifying a leap in network technology usability and trust. Distinguished from ordinary AI tools, AI Assistant harnesses the power of Forward Networks’ digital twin technology, ensuring validations and accurate, trusted responses in complex IT environments. The integration of AI Assistant simplifies data access through natural language queries, accelerating tasks for IT professionals and paving the way towards autonomous, self-healing networks. Read more in this Gestalt IT article by Sulagna Saha.
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.
