Austin Lawrence Gidon’s Post

AI chip market in India

From Web Summit: CoreWeave CEO Michael Intrator said demand for AI compute is "pretty relentless." Intrator anticipates that the AI infrastructure clusters developed in the coming years will be so large that their scale would have been unimaginable just two years ago. Coreweave emerged as the premier AI infrastructure provider, with its post-money valuation surging more than 10X in just 18 months, according to data from S&P Global Market Intelligence. Despite NVIDIA being an investor, Intrator said Coreweave does not get prioritized access to chips. Instead, Intrator said Coreweave's focus on AI workloads and speed of deployment has been a key differentiator against traditional cloud hyperscalers. #GenAI #Hyperscalers

📖 Viridien: Embarking on Era as a Diversified Technology Leader Having supported the energy industry for over 90 years, we are now expanding into new markets, driving scientific innovation for a more prosperous and sustainable future. In the latest issue of AI Magazine and Technology Magazine our EVP of HPC & Cloud Solutions, Agnes Boudot shares her insights on choosing the right technologies in Viridien's HPC labs. She discusses how the team test and evaluate next generations of compute technology and extend this expertise to clients across different industries. Read the full interview 👉 https://lnkd.in/eyx4BAZU #HPC #Cloud #HPCcloud #HPCaaS #AI AI Magazine Technology Magazine

🌟 Announcing Our Latest Innovation! 🌟 bit.ly/PW_ACTIVATE We’re excited to unveil Parallel Works ACTIVATE—the next generation HPC & AI control plane that’s here to revolutionize how you manage and scale your computing needs. Whether you’re operating in the cloud, on-premises, or a hybrid environment, ACTIVATE delivers unparalleled efficiency and performance. ACTIVATE brings you a new level of control, efficiency, and performance with cutting-edge features tailored to meet your unique needs. Our press release has all the details about the product’s capabilities, benefits, and how it’s already making a difference for our customers. Don’t miss out—read more about our game-changing product here! 👉 bit.ly/PW_ACTIVATE #ParallelWorks #ACTIVATE #HPC #AI #Technology #CloudComputing #OnPremises #HybridComputing #ProductLaunch #Innovation

Key Insights from AMD CEO Lisa Su on CNBC 🤖 AI Everywhere: "AI is going to be in every aspect of computing," from cloud infrastructures to enterprise applications and consumer PCs. 📊 Revenue Surge: AMD is projecting $5 billion in AI revenue for 2024, up from an initial forecast of $2 billion. 💪 Strong Performance: The success of AMD EPYC and Instinct processors is crucial for meeting the growing demand for AI-driven solutions. 🤝 Key Partnerships: Collaborations with major cloud providers like Microsoft and Oracle enhance AMD's position in the AI landscape. 🔄 AI Super Cycle: Su describes the current phase as an "AI super cycle," where diverse computing capabilities will be essential for success. For more insights, watch the full interview here on YouTube by CNBC: https://lnkd.in/gDCSGtqE #AI #AMD #AMDBrandAmbasssador #TogetherWeAdvance #DataCenter

Together with Google Cloud, we’re exploring cutting-edge AI-based solutions to optimize network performance, reduce operational costs, and enhance user experiences. At the 2024 Mobile World Congress, we demonstrated how our Cognitive Software AI model on Google Cloud's Vertex AI can detect anomalies in cellular networks. This represents a significant advancement at the intersection of cloud computing and telecommunications technology. 📱☁️ The technical exploration with Google Cloud has demonstrated the potential of implementing hyper-scale cloud platform services and machine learning operations together with Ericsson's Cognitive Software. This could enhance network planning, optimization, and operation while providing telcos with dynamic, scalable solutions that significantly reduce time to market. How do you see these innovative network solutions shaping the future of telecommunications? Share your thoughts. 👇 Find out more: https://lnkd.in/e3KEpfUi #Innovation #Technology #CloudComputing #CognitiveAI #GoogleCloud

In an era where telecommunications networks are becoming increasingly complex, these tools are indispensable. #Ericsson

🚀 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺 𝗬𝗼𝘂𝗿 𝗔𝗜 𝗙𝗮𝗰𝘁𝗼𝗿𝘆 𝘄𝗶𝘁𝗵 𝗗𝗗𝗡 Ready to maximize the potential of your @NVIDIA Cloud infrastructure? DDN’s AI Data Intelligence Platform is purpose-built to help NVIDIA Cloud Providers: ✅ Fully harness GPU power. ✅ Accelerate AI model training and tokenization. ✅ Scale seamlessly for greater efficiency and profitability. With 80% of the world’s @NVIDIAAI system deployments powered by DDN, we’re setting the standard for speed, scalability, and AI success. 💡 From secure multi-tenancy to 400% faster GPU performance, our turnkey solutions are designed to future-proof your AI Factory and accelerate your path to profitability. 👉 Visit our website to learn how DDN can power your AI Factory with unmatched efficiency and expertise: https://lnkd.in/g4N8Zhbs #AI #ArtificialIntelligence #ML #MachineLearning #LLMs #tech #data #DataStorage #DataCenters #DataAnalytics #innovation

Vultr Partners with HEAVY.AI to Enhance GPU-Accelerated Analytics Learn more & get our take 👇 https://lnkd.in/gsyJS4Hd "Partnering with Vultr has allowed us to leverage their highly performant, global NVIDIA GPU cloud infrastructure to provide our customers with better access to unparalleled speed and efficiency." — Jon Kondo, CEO at HEAVY.AI "Vultr is one of the first cloud providers to offer the revolutionary NVIDIA GH200 Grace Hopper Superchip." — Todd Mostak, Co-Founder & CTO at HEAVY.AI "Our partnership with HEAVY.AI is yet another example of Vultr being committed to unlocking the next frontier of GPU-accelerated analytics." — Kevin Cochrane, CMO at Vultr #partnerships #gpu #SoTNews

The connection between accelerated computing and operational efficiency is indisputable. It’s not just the obvious things like how fast projects get completed or products get to market when AI is used. It’s also the impact of AI on data center efficiency… we’re talking about savings on things like hardware, energy, floor space and operating costs. It may not be intuitive, but getting AI systems to run faster actually makes data centers more energy- and cost-efficient – on-premises and in the cloud. Read more about harnessing accelerated computing for AI and LLM's 👉 https://bit.ly/4a6zqNs #AcceleratedComputing #GPU #LLM