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Deploying Generative AI (GenAI) solutions efficiently is becoming crucial for businesses across industries. The ability to scale and implement AI models effectively not only drives innovation but also strengthens an organization’s competitive edge in the market. Modular is addressing these challenges head-on. Founded in January 2022 by industry veterans Chris Lattner and Tim Davis - whose résumés include leadership roles at tech giants like Google and Apple - Modular brings unparalleled expertise to the AI inference platform space. Their flagship solution, the MAX (Modular Accelerated Xecution) platform, is built to tackle the complexities of AI deployment with features like: - Streamlined GenAI inference deployment - Enhanced GPU efficiency for inference tasks - Seamless interoperability within the AI ecosystem - Cost-saving optimizations for AI workload management Key benefits of their approach include: - Support for cross-platform development and deployment - Optimized performance for GenAI workloads using Open LLMs - Flexibility in choosing models and deployment environments - On-premises data processing for greater control The importance of efficient GenAI deployment extends far beyond individual businesses, it is a cornerstone of the AI industry’s growth and its ability to drive meaningful change. As organizations increasingly rely on AI to solve complex problems, optimize operations, and innovate, platforms like Modular’s MAX and others become critical enablers of progress. By addressing the technical and logistical hurdles of AI deployment, these solutions not only unlock new possibilities for developers but also set the tone for a future where AI can be more widely adopted, scalable, and transformative across all sectors. #AITechnology #GenAI #AIDeployment #TechInnovation

Together AI went from zero to $100M ARR in 10 months. 🤯 Together AI, a Nvidia-back start up is taking the top spot of fastest-growing startup in history in record time and really shifting the landscape of open-source AI. Right behind is Simplismart, another AI heavyweight worth watching for its killer inference speed and flexibility. Simplismart is coming in hot with something totally different: on-premise deployment for enterprise AI at an insane pace—without locking companies into any hardware. Inference speed and privacy, all in one. What sets Simplismart apart is they’re not playing the hardware game with NVIDIA or AMD. They’ve built a universal, model-agnostic inference engine, letting businesses keep control over their data, SLAs, and privacy. Co-founder Amritanshu Jain gets it: “Hardware is a race to the bottom; we’re giving businesses control over their AI destiny.” Together, these two are rewriting the playbook: Together AI driving accessibility through open source and Simplismart offering speed and flexibility on a secure, enterprise level. If you’re serious about AI, keeping an eye on these guys is essential.

If you haven't heard- we're getting back together with Weights & Biases to discuss the Future of AI Infrastructure and MLOps 🤸♀️🚀💥 Organizations face similar challenges in building AI, including fast-changing conditions, users expecting exceptional AI experiences, and managing massive, complex datasets. ⚙️And GPU availability remains a key constraint for many in scaling AI value! Join us to gain cutting-edge insights, strategies, and solutions for navigating the dynamic landscape of AI in regulated environments. Make sure you don't miss out on the opportunity to network with like-minded individuals, engage in thought-provoking discussions, and discover how collaboration between Weights & Biases and Run:ai are revolutionizing the future of AI infrastructure! Our discussion will be led by Run:ai's Wes Carroll and Jack Bailin from W&B Spaces are limited! So, register now to secure your spot--> https://hubs.li/Q02zCmLm0 #techevent #aiinfrastructure #AIOps #mlops #AIDevOps #GPUComputing #AIScaling #MachineLearningInfrastructure #runai #aistack #ml #solutionsengineer #aiinnovation

Generative AI is transforming industries by creating original content and solving complex problems with unmatched speed and creativity. But the potential of this technology is being elevated even further with the announcement of the Stargate Project. The tech world is witnessing a groundbreaking collaboration between OpenAI, Oracle, SoftBank, and MGX. The Stargate Project is a $500 billion commitment to advancing generative AI capabilities and positioning the U.S. as a leader in the AI revolution. Key Highlights: ▫️ $100 billion initial investment, with plans to reach $500 billion by 2029, to build cutting-edge data centers and energy facilities. ▫️ The project is expected to generate over 100,000 jobs in the U.S., bolstering the economy and technological workforce. ▫️ Strategic partnerships with Microsoft, Arm, and Nvidia to tackle challenges like energy consumption and hardware shortages. This initiative isn’t just about building infrastructure—it’s about solving critical challenges, unlocking new opportunities for technological innovation, and underscoring the transformative potential of Generative AI. The importance of robust infrastructure to support its growth cannot be overstated. What do you think this massive investment means for the future of AI, and how will it impact industries, economies, and innovation?

Exciting times at Ax3.Ai Inc! We’re on a mission to accelerate the future by making high-performance computing more accessible to everyone. As the demand for massive models continues to grow, so does the need for powerful computational resources to train them. At Ax3.Ai, we’re democratizing access to accelerated computing, enabling more organizations and individuals to tap into the computational horsepower required for cutting-edge AI and machine learning applications. Our goal is simple but ambitious: to break down the barriers to entry in the world of AI by providing scalable, high-performance solutions that can be leveraged by innovators across industries. Whether you’re a researcher, a startup, or an established enterprise, we’re here to empower your journey toward building the next generation of intelligent systems. Stay tuned for more updates as we continue to push the boundaries of what’s possible! #AI #MachineLearning #HighPerformanceComputing #TechInnovation https://lnkd.in/gtPnJZ8a

LandingAI is on a mission to democratize AI with a data-centric approach, making it accessible and efficient for everyone. Their flagship product, Landing Lens, empowers users to build AI-driven computer vision models effortlessly, without the need for complex programming or deep AI knowledge. Join LandingAI's Andrew Ng, Founder and CEO, and Dan Maloney, Chief Operating Officer on Data Cloud Now with Ryan C. Green to discover how LandingAI is transforming enterprise AI initiatives and learn about exciting new developments in vision agents and agentic reasoning. Don’t miss this opportunity to see how LandingAI is pioneering the future of AI!

Learn how PEAK:AIO leverages Solidigm and NVIDIA to deliver purpose-built AI solutions covering deep learning, model development, and edge deployments.

Fantastic to speak with Judy Khan Shaw for #NYSEFloorTalk this week. So much has changed since I last sat down with Judy in January. AI innovation is speeding ahead and spending on AI infrastructure is soaring with more than $100B spent just this year on data centers, GPU clusters, and new LLMs. But what’s most important for businesses are the foundational questions that have not changed: what will bring business value with AI? How can organizations minimize AI risks? Thank you NYSE for having me on to discuss these questions and how DataRobot enables customers to develop and deliver generative AI applications and agents with confidence. #nextAIevolution

New Post: U.S. Commerce Department report endorses ‘open’ AI models - https://lnkd.in/gE8FWraM - The U.S. Commerce Department today issued a report in support of “open-weight” generative AI models like Meta’s Llama 3.1, but recommended the government develop “new capabilities” to monitor these models for potential risks. The report, authored by the Commerce Department’s National Telecommunications and Information Administration (NTIA), finds that open-weight models broaden generative AI’s availability to © 2024 TechCrunch. All rights reserved. For personal use only. - #news #business #world -------------------------------------------------- Download: #Google #Font #Tester - https://lnkd.in/gKAZYbVN

Last week's David Fernandez Vinuales in representation of #DeCH.at attended the Generative AI Symposium in Palo Alto offered valuable insights from industry leaders and investors. These were the our key takeaways: NVIDIA  highlighted the transition from experimentation to production in AI, emphasizing use cases with positive ROI and infrastructure scaling. They discussed synthetic data generation and model boosting techniques with special focus on RAG as the goto solution. SAP  stressed the importance of product UX in AI applications, noting that poor experiences can significantly impact costs. The VC panel, featuring representatives from BDev Ventures, Bay Bridge Ventures, and Insight Partners, shared their investment strategies: - Cautious excitement about AI's potential - Focus on companies with sustainable business models and clear moats Interest in areas like GPU orchestration, data privacy, and regulatory compliance - Emphasis on solving real-world problems in B2B contexts - Investors are looking for founder-market fit and coachability. VCs overall are cautious about accelerated valuations but see opportunities in cost-reduction and sustainable businesses. Notable investment areas included digital twins for fuel efficiency, AI-powered headless CMS, and platforms for training small LLMs on CPUs. We also had the opportunity to talk and engage with other Startup founders and see the amount of innovations around the world of Generative AI. It was impressive. The symposium underscored the rapid evolution of the AI landscape and the need for strategic, sustainable approaches to AI development and investment. Thanks Murray Newlands for the organization and incredible insights. #GenerativeAI #AIInvestment #TechInnovation #ConversationalAI