If needs to run quick, let it run with SP// Edge Compute.
Introducing GPU-accelerated VMs and containers at the edge of the internet. We'd say they're perfect for compute-heavy, latency-sensitive workloads, like AI inference, but our AI told us it doesn't like being called "compute-heavy." https://stkpth.io/3ScvhBu #edgecomputing #edgecompute #cloudcomputing
Introducing GPU-accelerated VMs and containers at the edge of the internet. We'd say they're perfect for compute-heavy, latency-sensitive workloads, like AI inference, but our AI told us it doesn't like being called "compute-heavy." https://stkpth.io/3ScvhBu #edgecomputing #edgecompute #cloudcomputing
Introducing GPU-accelerated VMs and containers at the edge of the internet. We'd say they're perfect for compute-heavy, latency-sensitive workloads, like AI inference, but our AI told us it doesn't like being called "compute-heavy." https://stkpth.io/3ScvhBu #edgecomputing #edgecompute #cloudcomputing
GPU-based compute on containerized workloads has seen 58% year-over-year growth. Learn how GPU-based workloads on containers are helping drive AI/ML development in our 2023 container report: https://lnkd.in/eJ7xeecg
ANS has officially entered into the quantum realm, testing models in Azure's new offering on Quantum computing In fact, quantum computing is being seen as the solution for the increasingly heavy training required by the new LLMs and extreme AI models, which is taking literally weeks to train And with offerings from Rigetti, IonQ, and Quantinuum, Microsoft's Azure is surely the way to go in this new and amazing technology which is going to revolutionize the entire IT industry!
Interesting challenge and solution around IO patterns for GenAI workloads. TLDR: AI workloads have different data profiles for different stages of their AI pipelines. Typically, varying IO profiles cause legacy storage solutions to fall over and come with huge latency. The lack of storage performance makes inefficient use of GPUs, resulting in extra infra cost and wasted researcher hours. Weka delivers record setting storage performance at multi exabyte scale support high I/O, low latency, small files and mixed workloads with 0 tuning. Don't believe us? Spin it up in the cloud and see for yourself. #feedthebest #gpu #filesystem #weka
Technology Visionary, Chief Evangelist, Storyteller, Strategist, Product Management, Product Marketing & Competitive Intel. #MrRecovery
If you're seeing a lot of meaningful information coming from WEKA about AI and Generative AI, it is because our data platform is designed to handle these data pipelines. This is a great brief, well worth your time.
Interesting challenge and solution around IO patterns for GenAI workloads. TLDR: AI workloads have different data profiles for different stages of their AI pipelines. Typically, varying IO profiles cause legacy storage solutions to fall over and come with huge latency. The lack of storage performance makes inefficient use of GPUs, resulting in extra infra cost and wasted researcher hours. Weka delivers record setting storage performance at multi exabyte scale support high I/O, low latency, small files and mixed workloads with 0 tuning. Don't believe us? Spin it up in the cloud and see for yourself. #feedthebest #gpu #filesystem #weka
Lightbits touts performance, scalability for AI workloads - https://lnkd.in/d92Uucam
As AI gains prominence, numerous organizations encounter significant data challenges while dealing with #AI and #ML workloads Details on how VMware's #Edge Compute Stack and VMware vSAN help with addressing various aspects of Edge #AI challenges. https://bit.ly/3FeA8up
Vice President @ Lightbits Labs | Channel Chief | Partner Ecosystems, Ex-NVIDIA, Ex-WekaIO, and AI
Check out Chris Mellor's article on Blocks and Files about Lightbits Labs high-performance and scale out accelerated Cloud Data Platform for #AICloud workloads. Check it out. #storage. #AI
Lightbits touts performance, scalability for AI workloads - https://lnkd.in/d92Uucam
LLMs and Retrieval Augmented Generation (RAG) have changed the way data is stored and consumed. Enterprise RAG demands enterprise-grade storage. In this webinar with Pure Storage, we dive deeper into the storage needs of datacenter scale Generative AI. https://lnkd.in/g3d6RCaq
CEO & Founder presso FlashStart | Internet Protection
6moStackpath disabled CDNs service on the 22th of November for the Akamai's acquisition. Nobody from Akamai contacted us to offer the CDN service. Stackpath's Help Desk suggested to find online another CDN provider (without telling to refer to Akamai). Moreover, on December the invoiced, and got the credit card payment for unexisting services! Please share this, I have sent everything to the New York Times and Financial Times. Do you trust on these people ??