Aberdeen Strategy & Research的动态

?? After a lot of experimentation in 2023, this will be the year of companies adopting #AI. How can we get there in the most effective way and where cloud providers could help? As Charlie Boyle, Vice President of DGX Platforms, puts it ?Cloud service providers will help enterprises with full-stack AI supercomputing and software. This will make customizing pretrained models and deploying them easier for companies across industries.“ ?? What do you think? Look for more inspirations among these 17 predictions on the NVIDIA blog. We like Manuvir Das, Vice President of Enterprise Computing, way of summarizing it: ?Customization is coming to enterprises“. Let us know how we can help you! #NVIDIA #AI #GenAI #EnterpriseAI

?? Generative AI: A Double-Edged Sword? ?? As the AI revolution accelerates, companies are grappling with a new set of challenges. GPU shortages and skyrocketing cloud costs are putting pressure on businesses racing to harness the power of Generative AI. At Refactor, we understand the immense potential of GenAI, but we also recognize the hurdles that must be overcome. The demand for computational resources is pushing the limits of current infrastructure, with data center costs projected to exceed $76 billion by 2028. But in the face of these obstacles, innovation thrives. Companies are exploring novel optimization techniques and business models to navigate this complex landscape. While the boundaries of AI's development may be shaped by these constraints, the possibilities remain vast. As your trusted AI partner, Refactor is committed to helping you strategically navigate this era of rapid change. With our deep expertise and cutting-edge solutions, we'll guide you through the challenges and opportunities that lie ahead. ?? #GenAI #AIRevolution #InnovationThroughChallenge https://lnkd.in/drqPCMTU

Building a reliable, high-performance enterprise AI infrastructure is complex and risky. But the cost of doing nothing is to let your competitors pull ahead, gaining competitive advantage as you maintain the status quo. NetApp ONTAP AI powered by NVIDIA DGX systems provides a better way to build your infrastructure with integrated, validated, and preconfigured solutions. Here's what this integrated infrastructure does for your enterprise AI, machine learning, and deep learning: ??Reduces risk and complexity with flexible, validated solutions ??Delivers performance and scalability without disruptions ??Improves productivity with an integrated data pipeline ??Unifies AI workloads to flexibly respond to demand With NetApp and NVIDIA, you can power your AI, ML, and DL with a stable, low-latency integrated data pipeline from edge to core to cloud. Let's explore how enterprise AI can help you stay competitive and how an integrated infrastructure solution implemented with the support of an expert partner can help you get there faster and with less risk. Get in touch! https://lnkd.in/d76SHS-K #NVIDIA #NetApp #AIBuilding

Inference is defining how AI is being used. From cloud to edge, these workloads are enabling everyday technology experiences and supported by advances in hardware and software capabilities, with more efficient models entering the market. Ian Bratt, Vice President of Machine-Learning Technology talks about how Arm CPU designs will be the key to unlocking AI everywhere:

Inference is defining how AI is being used. From cloud to edge, these workloads are enabling everyday technology experiences and supported by advances in hardware and software capabilities, with more efficient models entering the market. Ian Bratt, Vice President of Machine-Learning Technology talks about how Arm CPU designs will be the key to unlocking AI everywhere:

Generative AI Futures : Chip To Code ? What do you think about the growing trend where companies like NVIDIA are entering the generative AI space with a full-stack approach? They're not only designing GPUs but also actively participating in the development of AI technologies to improve efficiency at scale. Is this a trend we should keep an eye on? Will leaders in generative AI space - Azure AI ,OpenAI ,Databricks , Google Cloud,Hugging Face, LlamaIndex , Microsoft Copilot have to watch this out as a trend for them to embed into their core , as opposed to seeing these as forward and backward integration partnerships Need to pay attention to this approach, or is it just an outlier? #generativeai #genaistrategy #genai #backwarditegration Note When I wrote this post, I was not aware of another post published a few months ago that clearly indicates a trend in chip activity. Updating, given its significant as an update https://lnkd.in/gD4Fuybh

SAP plans to build additional generative AI capabilities within SAP BTP using NVIDIA's generative AI foundry service, featuring NVIDIA DGX ? Cloud AI supercomputing, NVIDIA AI Enterprise software and NVIDIA AI Foundation models.

It’s a strong statement on AI … “You shouldn’t be making a single technology investment today—whether it’s security-related, infrastructure or your cloud partnerships—that doesn’t contemplate existing or future use cases for AI,” according to Mike Taylor, World Wide Technology’s chief technology officer and executive vice president of services. Taylor spoke with CRN’s Mark Haranas about successful AI customer use cases, WWT’s partnership with NVIDIA, how to build innovative generative AI technology and WWT’s overall AI strategy:

“You shouldn’t be making a single technology investment today—whether it’s security-related, infrastructure or your cloud partnerships—that doesn’t contemplate existing or future use cases for AI,” according to Mike Taylor, World Wide Technology’s chief technology officer and executive vice president of services. Taylor spoke with Mark Haranas about successful AI customer use cases, WWT’s partnership with NVIDIA, how to build innovative generative AI technology and WWT’s overall AI strategy:

?? We're excited to announce the deployment of AI Inference service on our cutting-edge cloud platform! Effortlessly deploy state-of-the-art machine learning models, from image generation to LLMs, into production environments accessible worldwide. Thanks to our smart routing technology, we minimize latency by directing users to the nearest edge node for blazing-fast performance. Explore our pre-loaded, ready-to-use models like DistilBERT and Stable Diffusion, or bring your own creations to life with ease. Plus, manage your GPU resources dynamically by setting custom scaling triggers, ensuring optimal performance without the infrastructure hassle. Transform your ideas into reality and integrate world-class models into your applications seamlessly. Dive into the future of AI with us today! Discover our Inference feature here ?? ?https://lnkd.in/dBft3Nxj #AIInference #CloudComputing #MachineLearning