Fabrizio Cilli’s Post

Intel welcomes "Open Platform for Enterprise AI": initiative unifies developer community for the advancement of generative AI systems. Today at Open Source Summit in Seattle, the Linux Foundation AI & Data announced the Open Platform for Enterprise AI (OPEA) as its latest Sandbox Project. OPEA aims to accelerate secure, cost-effective generative AI (GenAI) deployments for businesses by driving interoperability across a diverse and heterogeneous ecosystem, starting with retrieval-augmented generation (RAG). Intel plans to: - Publish a technical conceptual framework. - Release reference implementations for GenAI pipelines on secure solutions based on Intel® Xeon® processors and Intel® Gaudi® AI accelerators. - Continue to add infrastructure capacity in the Intel® Tiber™ Developer Cloud for ecosystem development, AI acceleration, and validation of RAG and future pipelines. For more on OPEA check-out: https://opea.dev/ #OPEA #EnterpriseAI #IntelAI #AIeverywhere #OpenSource #Developers

To help accelerate GenAI end-to-end solutions adoption and business value in enterprises, I’m excited to share the news about the Open Platform for Enterprise AI (OPEA). Driven by ecosystem collaborators within the Linux Foundation AI & Data, OPEA enables the construction and evaluation of open, multi-provider, robust, and composable GenAI approaches that harness the best innovation across the ecosystem.   With the recent development of multiple technologies for GenAI, there’s an outstanding opportunity to accelerate a systematic and effective approach for different models and tools to play well together. OPEA provides a set of GenAI model and system component building blocks to construct GenAI solutions, including retrieval augmentation. The framework also offers a variety of validated, ready for deployment end-to-end reference flows.   To ensure GenAI pipelines are leveraging the latest technologies for deployment in enterprise settings, OPEA provides an evaluation framework that assesses, grades, and certifies GenAI solutions that meet criteria for performance, features, trustworthiness, and enterprise readiness.   Want to learn more? Check out how to join the effort at: https://opea.dev/   Read the Linux Foundation announcement here: https://lnkd.in/g52PdMWd   Read the Intel announcement here: https://lnkd.in/gqRMFPUU   Read the blog here: https://lnkd.in/gmGdvm8t   #iamintel #ArtificialIntelligence #AI #GenerativeAI #MachineLearning #LLM

Looking forward to this initiative and the release of GenAI reference implementations using composable and reusable building blocks. Check out some of the implementations in the following github: https://lnkd.in/gVjtqMUv

🌟 Excited to share Intel's game-changing Open Platform for Enterprise AI (OPEA) initiative, spotlighted in our latest VMblog article by Malini Bhandaru and Iris ( Shao Jun) Ding! OPEA addresses key enterprise challenges—technical complexity, cost, and talent scarcity—by providing an open, scalable, and secure ecosystem for #GenAI solutions. It simplifies the deployment of #LLM and #RAG pipelines while offering flexibility, innovation, and cloud-native integration. With over 40 industry partners and a commitment to open source, OPEA is shaping the future of enterprise AI. Discover how this initiative is breaking down barriers and enabling enterprises to innovate faster. 👉 Read more here: https://lnkd.in/gzpBjSDD #AI #Kubernetes #OpenSource #TechInnovation #CloudNative #AICommunity #EnterpriseAI

Intel predicts that full integration of AI into enterprise operations will take three to five years. This timeline reflects the growing adoption of AI technologies across various industries, as businesses work to harness its potential. While AI offers numerous benefits, its successful implementation requires significant time and investment. Intel's forecast highlights the ongoing evolution of AI in transforming business processes and driving innovation. https://lnkd.in/gR7ug5D8 #AI #Intel #Enterprise #TechNews #AIintegration #BusinessInnovation #ArtificialIntelligence #TechTrends #DigitalTransformation #InnovationInTech #UnderstandingEnterpriseTech #EnterpriseTechnologyNow #EnterpriseTechnologyToday

The The Linux Foundation, in collaboration with organizations like Cloudera and Intel Corporation, has initiated the Open Platform for Enterprise AI (OPEA) to develop open and modular generative AI systems for enterprise applications. OPEA will focus on standardizing components, evaluating performance, features, trustworthiness, and enabling interoperability among AI tools, including retrieval-augmented generation (RAG) models, which leverage external information for better responses or tasks. While OPEA members have vested interests in building enterprise generative AI tools, the challenge lies in ensuring collaboration to avoid vendor lock-in and offer customers diverse AI solutions. For a more in-depth look, read Kyle Wiggers article for TechCrunch: https://lnkd.in/g65sPb8q #ai #generativeai #linux #google #intel #enterprise #tech #future #futureofwork

#Linux Foundation Launches Open Platform for Enterprise AI The Linux Foundation's LF AI & Data has unveiled the Open Platform for Enterprise AI (OPEA), a groundbreaking initiative aimed at accelerating the development of open, multi-provider, and composable generative AI systems. 🌐🚀 This collaborative effort brings together industry leaders such as Intel, Cloudera, Hugging Face, Red Hat, SAS, and VMware (acquired by Broadcom) to foster innovation and standardization in the rapidly evolving field of generative AI. 💼🤝 The launch of OPEA comes at a crucial time when generative AI projects, particularly those utilizing Retrieval-Augmented Generation (RAG), are gaining momentum for their ability to unlock significant value from existing data repositories. However, the swift advancement in generative AI technology has led to a fragmentation of tools, techniques, and solutions, creating challenges for enterprise adoption. #AI #OpenSource #Innovation #EnterpriseAI

Well-written article by Pankaj Mendki that lays out the new fundamental enablers that are driving edge computing, including #webassembly, #TinyML, #MLOps and #orchestration… “TinyML is the use of AI/ML on resource-constraint devices. It drives the edge AI implementation at the device edge. Under TinyML, the possible optimization approaches are optimizing AI/ML models and optimizing AI/ML frameworks, and for that, the ARM architecture is a perfect choice.”

We're accelerating our GenAI capabilities in a new collaboration with @Intel Together, we will leverage Intel Gaudi AI Accelerators to transform GenAI capabilities for the Consumer Intelligence industry. Read the full release here: #TheFullView

Discover 7 powerful strategies to optimize infrastructure for AI workloads with IBM. From leveraging GPU acceleration to implementing advanced storage solutions, these insights will help unlock the full potential of your AI initiatives. Explore the blog to learn more! #IBM #AI #InfrastructureOptimization #Technology #Innovation