Kinetica ’s Post

AI, Go Fetch! 🐶 https://nvda.ws/4daZRTq The new NVIDIA NeMo Retriever NIM #inference microservices can help enterprises unlock the value of business data by boosting model accuracy and throughput.

Quantiphi is developing cutting-edge services to integrate NeMo Retriever NIM microservices into enterprise AI pipelines! By leveraging this powerful technology, we’re helping businesses unlock the full potential of their data and drive innovation. #AI #NeMoRetriever #NIM #Microservices #EnterpriseAI #DataDriven #Quantiphi #NVIDIA #QuantiphixNVIDIA #SolvingWhatMatters Stay tuned for more AI innovations!

I wonder if people understand how epic the NVIDIA announcement about the Blackwell AI technology is. On top of that the announcements about the NIMs and Omniverse are substantial. The fact that we can simulate virtually anything and then connect the simulation to the real world will change the development economy. Going from writing apps to connecting AI actions and APIs will fundamentally change how people develop code. Garrett Davis Anthony Alicea Donald Ladwig ai.nvidia.com is a new cloud platform for doing this type of development. #nvidia #ai #findinfinite

007 is now an.... (wait for it) An Artificial Intelligence (#AI) Agent!? Wait, What!? Watch this video to see how the AI hype cycle has rapidly picked up this new trend - #AIagents - and to learn more about what AI agents are and how to create them. https://lnkd.in/g7TCQt7S The world of AI and Private AI are changing at unbelievable speeds! On April 18th, Meta released the massive 8billion and 70billion parameter Llama3 models to the public. Now we can run massive LLM models locally and privately. Are you yet?! (sidenote: I just started with private AI locally to enhance my productivity, but remember that private AI is a multi-billion dollar opportunity for businesses. Top-line growth as well as bottom-line efficiencies are all in play. Our teams at VMware by Broadcom are creating #PrivateAI capabilities within VMware Cloud Foundation (VCF) to give you the same magical virtualization capabilities to GPU / #AI workloads. We all need #PrivateAI, so we've partnered with NVIDIA and others in the #AI ecosystem (eg Intel Corporation) to deliver this game-changing & critical strategic IT capability. You should talk with us about this use case!)

NVIDIA AI Foundry Builds Custom Llama 3.1 Generative AI Models for Enterprises 🎉 With NVIDIA AI Foundry, enterprises and nations can supercharge #generativeAI with a comprehensive service that spans curation, synthetic data generation, fine-tuning, retrieval, guardrails, and evaluation to deploy custom Llama 3.1 NVIDIA NIM Microservices. Read more from source: https://lnkd.in/g7U9DPA6

Play with all the top models in seconds, then deploy into production using the NVIDIA Inference Microservice (NIM). Just announced at #GTC24 💡 New AI microservices for developing and deploying enterprise-grade #generativeAI 💻. Explore them now at ai.nvidia.com and get access to PTMs, data processing, #LLM customization, #inference, #RAG, and guardrails.

NVIDIA just dropped Llama 3.1-Nemotron-51B, a super smart language model that's fast and accurate! It's like a better, quicker version of Meta's Llama-3.1-70B but uses fewer resources. This means it runs smoother on a single GPU and is much cheaper! 💸 • 2.2x Faster than previous models • Super Accurate without losing quality • Lower Costs for running AI models • Fits on a single GPU for big workloads Key Benefits: • Better accuracy at a lower cost • Optimized for inference and deployment • Works smoothly on cloud and data centers For Tech teams needing speed and efficiency and companies looking to scale AI services this is a game changer. The table below lists all the benchmarks we evaluated – comparing our model and the reference model – Llama3.1-70B. The ‘Accuracy preserved’ is the ratio between our model’s score and that of the teacher. ---- Follow for more Daily dose of AI! #AI #Chatbots #TechNews #LLM

Faster. Stronger. Capable of seamlessly transitioning AI workloads efficiently to meet #GenAI and LLM scalability demands. #IntelGaudi3: The AI Accelerator premieres 09.24. https://lnkd.in/gZV5suMS #StartswithIntel

🚀 Databricks Unveils DBRX - A Game-Changer in AI Development! 🚀 Databricks, valued at $43 billion, introduces DBRX(an open, general-purpose LLM)—an innovative AI model reshaping business AI crafting. With support from industry leaders like Nvidia and Andreessen Horowitz, Databricks aims to democratize AI, reducing costs and empowering companies to leverage AI effectively. DBRX boasts unmatched performance, outstripping OpenAI’s GPT-3.5, while remaining open-source. This reflects Databricks' commitment to advancing the industry. Offering the model for free and charging only for cloud integration ensures accessibility without compromise. The potential impact is staggering, with analysts foreseeing trillions added to the global economy by 2030, spearheaded by Databricks' innovation. This launch follows the strategic acquisition of MosaicML, underscoring Databricks' dedication to AI solutions. Powered by a state-of-the-art "mixture-of-experts" architecture and trained on 3,000 Nvidia GPUs, DBRX marks a milestone in AI development. CEO Ali Ghodsi envisions a future where top-tier language models drive growth across industries. #AI #Innovation #DBRX #Databricks #LLM #chatgpt #mosaicml #nvidia

🚀 AI, LLM, GPU, PUE….OMG! 🤯 🤯 🤯 Overloaded by jargon? We’re here to simplify things 💁♀️ 👇 Scroll to read the first part of our💥A-Z Guide💥 Each week, we will break down the key terms and concepts shaping the future of #AI, #DataCenters, and #Sustainability 🌍 👇Click the link in the comment below to download our Insight Study on #financing sustainable AI 🔍and stay tuned for next week's reveal! Siemens Infrastructure #Decarbonization