Allyson Klein, in her latest piece, delves into how VMware is catalyzing the deployment of optimized solutions at the network edge, enhancing processing capabilities closer to data sources. VMware’s approach involves leveraging new architectural innovations and partnerships to fortify edge computing solutions, ensuring they’re efficient and tailored to meet the specific needs of various industries. This strategic move represents a significant step towards reducing latency and improving the reliability and performance of applications across distributed environments. Read more in this article, inspired by VMware’s presentation at Edge Field Day 3.
Tsecond Delivers Bryck AI for AI Inferencing at the Edge
Allyson Klein has recently shared an update on Tsecond’s launch of Bryck AI, highlighting its specialization in AI inferencing at the edge. This innovative tool is designed to enhance real-time data processing capabilities across various applications, from IoT devices to autonomous vehicles. By leveraging Bryck AI, businesses can achieve faster decision-making and improved efficiency, pivotal for competitive edge in technology-driven markets. Read more in this article, inspired by the Tsecond presentation at Edge Field Day 3.
OnLogic – Driving Rugged Infrastructure at the Edge
At OnLogic, Allyson Klein oversees initiatives focused on driving the deployment of rugged, reliable infrastructure specifically designed for edge computing environments. Her role involves ensuring that hardware not only meets the rigorous demands of edge computing but also supports the vast array of IoT and industrial applications dependent on this technology. Through her leadership, OnLogic aims to enhance operational efficiency and enable innovative solutions at the edge, optimizing performance across diverse industry sectors. Read more in this article, inspired by the OnLogic presentation at Edge Field Day 3.
Zededa Drives Edge Application Management at Scale
Allyson Klein highlights Zededa’s role in advancing edge application management through its cloud-native approach, enabling businesses to deploy and operate applications at scale securely and efficiently. Zededa’s framework supports a diverse ecosystem, facilitating seamless integration across a variety of hardware and cloud environments. This capability is particularly crucial for organizations looking to optimize operational technology and IoT strategies. Read more in this article, which followed Zededa’s presentation at Edge Field Day 3.
Avassa: The Swedes Have Invaded the Edge
Allyson Klein’s recent article explores Avassa, a Swedish startup revolutionizing edge computing with its unique platform-centric approach. Avassa focuses on deploying and operationalizing containerized applications at the edge, promising improved manageability and operational consistency. Highlighting the significance of edge computing in modern IT infrastructure, Klein discusses Avassa’s potential to enhance distributed environments through their innovative strategies and solutions. Read more in this article, inspired by Avassa’s presentation at Edge Field Day 3.
AI as We Know It is Just a Fad
Although AI is certain to transform society, not to mention computing, what we know if it is unlikely to last much longer. This episode of the Tech Field Day podcast brings together Glenn Dekhayser, Alastair Cooke, Allyson Klein, and Stephen Foskett to discuss the real and changing world of AI. Looking at AI infrastructure today, we see massive clusters of GPUs being deployed in the cloud and on-premises to train ever-larger language models, but how much business value do these clusters have long-term? It seems that the true transformation promised by LLM and GenAI will be realized once models are applied across industries with RAG or tuning rather than developing new models. Ultimately AI is a feature of a larger business process or application rather than being a product in itself. We can certainly see that AI-based applications will be transformative, but the vast investment required to build out AI infrastructure to date might never be recouped. Ultimately there is a future for AI, but not the way we have been doing it to date.
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.
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.
Compute Requirements in the AI Era With Intel’s Lisa Spelman
In this TechArena interview, Allyson Klein explores with Intel’s Lisa Spelman the evolving compute demands as enterprises gear up for the AI revolution and strive for widespread AI integration. They delve into the current state of AI adoption across industries while highlighting the critical role of software, tools, and standards in scaling AI solutions effectively. This insightful discussion underscores the thriving synergy between hardware advancements and software ecosystems necessary to power the next generation of AI applications.
VAST Data Soars With Industry Heavyweights
As Allyson Klein writes, VAST Data is revealing a major shift in AI strategy, joining forces with NVIDIA and Supermicro to bolster its role as a forward-thinking AI data platform. By embracing a novel architecture that eschews traditional x86 design for a powerful GPU-centric platform with NVIDIA DPUs, VAST Data is poised to redefine data storage, promising significant energy efficiency and enhanced performance for AI workloads. The company’s move shifts the AI training landscape towards GPU-native frameworks and sets VAST Data as a key innovator in an infrastructure industry ripe for disruption.
VAST Data Upends Storage in the AI Era
Allyson Klein offers an insightful look at VAST Data’s innovative approach to the AI data pipeline, a process crucial for preparing data for AI training, through their advanced NAS solution spotlighted at AI Field Day. VAST Data’s platform addresses the challenges organizations face with data prep and movement in AI, proven by their success in the HPC sphere and their natural progression into supporting AI training clusters.
Google Cloud Talks AI Trends at AIFD4
During AI Field Day 4, Google Cloud positioned AI as the next major platform shift, emphasizing its role following the internet and mobile, and highlighted their impressive data store capabilities including every search query since the inception of their browser. Google Cloud’s adoption of generative AI and the introduction of Google Gemini and DeepMind’s open model Gemma signal a strong continuation of their open-source ethos, enhancing AI scalability and accessibility. As noted by Allyson Klein in this article, the presentation also underscored Google’s commitment to supporting a diverse AI ecosystem, showcasing extensive compatibility across major silicon platforms, even as the event focused on Intel’s technology.
Intel Modestly Lays Its Case for AI — Tech Arena
As Allyson Klein writes, Intel addressed their strategy for AI workloads at AI Field Day 4, discussing the strengths of CPUs in AI inference and the growing role of accelerators—a notably humble stance for the tech giant in the face of intensified competition in the AI silicon sector. With a focus on where CPUs excel and integrated AI acceleration technologies like Intel AMX, Intel is positioning themselves to cater to mid-market organizations looking for an accessible AI solution. Amid a rapidly evolving landscape, Intel’s efforts to balance core CPU advancements with accelerator development highlight their pursuit to maintain relevance and leadership within the AI optimization space.
AI in the Marketing Arena With Digital Sunshine’s Gina Rosenthal
In the latest episode of TechArena, host Allyson Klein engages with Digital Sunshine’s Gina Rosenthal in a thought-provoking discussion on the transformative impact of AI on the marketing landscape, setting the stage for AI Field Day 4. The conversation delves into current trends and future implications of AI in marketing strategies, offering insights on how businesses are adopting these technologies. As AI Field Day 4 approaches, this dialogue serves as a tantalizing glimpse into the potential and challenges AI presents to both marketers and technologists.
Security in the AI Era With Fortinet’s Srija Allam and Julian Petersohn
In this TechArena podcast, Allyson Klein spoke with Fortinet’s security experts Srija Allam and Julian Petersohn about how Fortinet is integrating AI into their comprehensive security solutions. As cybersecurity becomes increasingly complex with rapid technological advances, Fortinet is optimizing with AI to stay ahead of threats. Their approach is a proactive one, aiming not only to respond to attacks but to predict and prevent them through intelligent monitoring and AI-driven insights.
Cloud Field Day Report: Juniper Networks Delivers Automation for the AI Era
Allyson Klein discusses the Juniper Networks presentation from Cloud Field Day, where they shared their vision for AI-era data center networking, with a focus on operations, openness, and solutions. The talk highlighted the recent acquisition of Apstra, a network automation software designed to simplify and scale network management for IT operators. With demonstrations of a cloud-native management interface and deep dives into AI cluster design and network analytics, Juniper Networks outlined its approach towards streamlining network oversight and responding to new network requirements.
AMD Leaps Ahead With Zen Architecture Powered EYPC Processors for the Cloud
Allyson Klein’s TechArena report on Cloud Field Day provides a deep dive into AMD’s approach to cloud native computing, focusing on the development of EPYC processors. The review details how AMD’s architectural changes adapt to various computing models – from traditional, to virtual, containerized, and functionized workloads. Klein applauds AMD’s forward-thinking innovation, highlighting their chiplet designs, 3D stacking for higher silicon area, and prioritization of high-performance cores for tenant workloads which could be more beneficial to most enterprises running off-the-shelf code.
Cloud Field Day Report: WEKA Throws the Data Gauntlet
Allyson Klein highlights the impressive performance and cost-saving capabilities of the WEKA Data Platform in this post. The platform’s ability to run across all major cloud providers and notably reduce carbon emissions are key highlights. Of particular interest is WEKA’s “converged mode zero footprint” solution, demonstrating innovative strides in resource and cost efficiency that will be beneficial as demand for cloud-based AI and HPC workloads rises.
Mind the Gap Between Hyperscale and Enterprise IT
Stephen Foskett and Cloud Field Day delegates Allyson Klein, Eric Wright, and Nathan Bennett examine the gap between hypserscale and enterprise IT in this episode of the On-Premise IT podcast. The episode’s guests scrutinize the disparities across numerous areas, including AI and sustainability. They propose that these differences stem from the influence hyperscalers have on technological developments and discuss the importance of bridging the hypserscale-enterprise IT gap.
The Future of VMware: Going Down the Rabbit Hole at VMware Explore 2023
In the VMware Explore article, Allyson Klein delves into Broadcom’s imminent acquisition of VMware and highlights how NSX, and its latest version NSX+, may be the crown jewel of VMware’s portfolio. NSX+ brings new multi-cloud security policy configuration and management, with a single pane of glass view on management of distributed firewalls, gateways, and IDS/IPS policies. As this technology lies at the center of network innovation, Klein surmises it is likely the primary attraction for Broadcom in the acquisition, and will undoubtedly play a significant role in the VMware of the future.
