VAST Data’s Post

Stay in control of your data Why consider a private cloud for AI? Organisations are choosing private cloud for genAI over public offerings because of these benefits Cost optimisation:  Private clouds enable businesses to optimise their costs by always running their workloads at the lowest TCO Digital sovereignty: Private clouds offer a safe environment for data and applications by ensuring that the organisation owns access and controls the level of sharing amongst the different teams Performance acceleration: Private clouds offer GPU virtualisation and other capabilities to improve performance and therefore project delivery, confidentiality, efficiency, and time to setup as required by sophisticated AI/ML workloads. NVMe over TCP low latency high performance private cloud block storage from Lightbits is vital in your genAI infrastructure. #Lightbits #nvmestorage #nebul #genAI #AI #ML #LLM #nvmetcp #blockstorage #GPU #privatecloud #privateai

VAST Data and CoreWeave have entered a #strategic partnership that will further CoreWeave’s mission to deliver highly #scalable and performant #cloud #infrastructure for #AI and accelerated compute workloads. Intelligent CIO North America

This is becoming a hot topic and something we are discussing with our clients. The major CSPs have great platforms for AI workloads, but they may not be the best place to innovate and develop your custom AI solutions. The cloud consumption model will tax your efforts and create a financial constraint that can hamper the trial and error often associated with innovation. An on-premises AI platform enables moving and customizing of large datasets without taxation and data governance concerns impeding your innovation.

AI workloads often need to access private data of a company. Would you prefer to send data into the cloud or keep under your control if you were in that company? "If you have petabytes, do you want to move data to compute or compute to data?” - Hence perhaps only move data if absolutely required, else stay put. #hpegreenlake #hpeezmeral #hpeandnvidia #twoisbetterthanone #hpesingapore

AI, so hot right now! So is Cloud Adjacent Storage to support it. Learn the 5 steps you can take to get the best results for your AI initiatives with a Cloud Adjacent Storage strategy at Equinix. New blog from Ian Botbyl and myself gives you the answers you are seeking. https://lnkd.in/gW-2TMFy #CloudAdjacentStorage #aiadoption #ai

Normalized cloud billing, sovereignty to shape cloud in 2024: Forrester: Bowing to customer demand, providers will also address data center sustainability and introduce prompt engineering services, the firm expects. @Poseidon-US #CIODive #Innovation

Normalized cloud billing, sovereignty to shape cloud in 2024: Forrester: Bowing to customer demand, providers will also address data center sustainability and introduce prompt engineering services, the firm expects. #CIODive #Innovation

AI is becoming one of the most important tools for organizations of all types and sizes. Through our collaboration with leaders like NHN Cloud, we will continue to help public and private organizations unlock the power of AI.

Oracle is leading in the #generativeAI space. We're seeing an influx of #AI companies choose Oracle Cloud cloud’s high-performance, low-cost AI infrastructure to run a variety of workloads in the #cloud. #OCI’s architecture and non-blocking, low latency network design is fundamentally different than anything on the market. Checkout Forrester's predictions on #AI and #Cloud in Forbes here:  https://lnkd.in/gU6jiQhP

One of the overarching themes I heard at this week's SW2 Conference centered around the looming skills shortage at the hands of AI. That theme is echoed by IDC data you can find in this week's edition of "Cloud, Compiled." https://lnkd.in/e7zCAzMQ