Dave Neary

Open is better than closed, yeah? Our newest blog by Cathal Fitzpatrick shows you how vendor-neutral VMware Distributed RIC is breaking barriers in RAN architecture. It's about near-real-time control, AI-driven optimization, and a thriving ecosystem that makes network management look like a breeze. Get ready to rethink what’s possible in RAN. Discover the details here: https://bit.ly/3S59w63

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Want to know what's going on with Broadcom and VMware read our analysis. SiliconANGLE theCUBE Research continues to kill it with original "high frequency insights" like no one else. We are covering the Broadcom/VMware action like a blanket. SiliconANGLE & theCUBE #theCUBEresearch https://lnkd.in/dw4igVgz

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Like saving money in AWS? Check out this AWS re:invent talk: the story of Honeycomb's migration of their Lambda services to Graviton (ARM64) by the incomparable Liz Fong-Jones. Having been through a similar process of adding ARM64 to our Kubernetes platform, this very much tracks with my experience. Modern language and platform support for ARM64 is really good, and in practice, the challenge isn't getting code to compile/work correctly. The actual work is mostly around build/CI changes and managing the risk of a cutover (including observability). While the Honeycomb team was able to use Go's support for cross-compilation, we have a polyglot fleet of microservices, and needed a more general solution. We ended up creating a Docker remote build service (using Buildkit) that could build either AMD64 or ARM64 (or multi-arch) containers. This was pretty seamless, since our dev tools just add a few CLI flags to docker invocations, and voilà, we get multi-arch container images. For risk mitigation and observability, we used a number of tools (including Honeycomb), its a much more varied and nuanced story. Liz's experiences here tracked very much with what we went through- the cost (and energy!) savings were real, but vary by workload. Liz's talk has inspired me to do a more involved write up of this in my blog, hopefully coming soon. #PlatformEngineering #Kubernetes #graviton

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We just launched Edge Compute Stack 3.5 -- it's got a lot of bells and whistles -- I like how Network World breaks down the state of the edge computing market, what companies need in terms of edge infrastructure, and how ECS 3.5 helps them get there in this article. https://bit.ly/3VKJFBf

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We'll do our best not to disappoint! Seriously though, @Justin emerson and I will be playing "armchair analyst" as unpack various industry level concepts (Crossing the Chasm & Hype Cycle for example) paired with real world "how to apply to your technology portfolio choices" application that we wish we'd understood when we were customers. And of course, we'll interweave Pure foundation, architecture, and benefits throughout (although as always never in a "here's our stuff!" approach :) ).

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It's exciting to see the advancements from Ampere in sustainable computing. Hearing partners like OpenX, NETINT Technologies Inc., Qualcomm and others talk about their experiences, and hearing such passion for sustainable computing is invigorating. #AmpereAI, #AmpereOne #AI #Sustainability #SustainableAI #DataCenter #CloudNative #CloudComputing

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🤓 No time to read the full white paper on NetApp's innovative RAG solution on docs.netapp.com, "Doc"? I've got you covered! This blog post breaks down the key insights so you can grasp how NetApp is revolutionizing AI and enhancing user experiences with technical content. Get a quick and informative overview without diving into the entire paper. Check out the blog post here: Read here: https://lnkd.in/epQBknnz #NetApp #ArtificialIntelligence #AIInnovation #RAGSystems #MachineLearning #UserExperience #TechnicalDocumentation #ContentExperience #Innovation

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Do you need an Amazon EC2 instance with a truly stupendous amount of memory? Check out my newest blog post to learn about the new U7i high memory instances with 12 TiB to 32 TiB of DDR5 memory and 896 vCPUs, available today in four #AWS Regions. https://lnkd.in/gVgxJ-bF

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VAST Data nconnect multipath note added to PowerScale getting parallelism story - https://lnkd.in/e8Qi4xn5

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If your client is saying, “We need help with our AI tools,” I humbly suggest you reply, “You need NetApp!” We recently announced the launch of our GenAI toolkit for Azure, which joins our existing GenAI Toolkit for Google. While on the AWS side, the new BlueXP Workload factory helps developers deploy #GenAI applications and seamlessly link Amazon Bedrock’s core models with an organization’s private data efficiently and securely. What does this mean for our partners and their customers? It means: 👉 the ability to create RAG-smart GenAI apps in a few clicks 👉 an intelligent data infrastructure at the core of your #AI projects 👉 simplified deployment to save time and money Charles Foley, our Senior Director of Product Management, explains it beautifully (as he always does) in the video below. https://ow.ly/M09a50SHhpq #AIinnovation #RAG #NetAppPartners

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Check out this new SIGMOD '24 scientific paper. Our customers love Amazon MemoryDB for its low latency performance, rich flexible API, large scale (up to 500 nodes per cluster), security, availability (4 9s SLA), and AWS's operational excellence. We designed MemoryDB for 11 9s of durability while still providing in-memory performance. My team created a nice technical scientific paper on MemoryDB's architecture. If you would like to learn about what's under the hood, check out this SIGMOD '24 paper. Yacine Taleb, Xingbo Wang, Nan Yan, Allen Samuels, Kevin McGehee, Stefan Mueller, and Jean G. - excellent work publishing this paper! https://lnkd.in/gFXPvci8 #aws #memorydb #inmemory #databases #durability #science #sigmod

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Some nice work to develop a methodology to break out carbon emissions across multi-tenancy workloads in hyperscale and cloud environments. We need more such building blocks as we look towards #netzero goals for our datacenters. Nice work Ian Schneider and Taylor Mattia.

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Want to learn how to build and deploy a compound AI application that can run on-prem and in the cloud? See how NVIDIA NIM is powering Haystack and deepset Cloud to enable you to build and scale AI applications. Join the webinar on September 4. Register now > https://lnkd.in/eTyx7GTW deepset

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If we are only discussing GPU manufacturers the three top companies are still NVIDIA, AMD and INTEL. Intel started to step it up with their Intel Arc Series with a GPU that is 1/3 the cost of NVIDIA and 1/2 the cost of AMD. Not sure about Broadcom but again this is in regards to graphics cards. Broadcom is known for their network and broadband products, storage and data center solutions, and other specialized semiconductors. Comparing them to the top three is not a fair comparison.

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The storage industry continues to rapidly change, and many vendors are indeed looking to provide ways to better extend and manage storage regardless of where it exists. Here are 100 vendors solution providers should have on their radar across software-defined storage; data recovery, observability and resiliency; and components. https://bit.ly/448cwmU

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Great conversation between Rani Borkar and RunAs Radio podcast host, Richard Campbell, on our Cobalt 100-based VMs and how Microsoft's optimizations at every layer of the stack are helping customers run workloads of all sizes more efficiently. Give it a listen with the link below. #Microsoft #HardwareInnovation #MicrosoftBuild

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Fresh off the press! Pure Storage #FlashArray for #AWS #Outposts presents a compelling alternative, offering one of the simplest #hybrid cloud solutions available today, and enabling enterprises to modernize within their existing data centers. This integrated solution seamlessly bridges on-premises and cloud environments, bringing AWS compute and other services alongside Pure Storage enterprise-grade, high-performance storage - https://lnkd.in/gNEvQgjc

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