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AI Tech News #DiunaAIspotlight Exciting news in the AI industry! Groq, an innovative startup specializing in AI chip technology, has successfully secured $640 million in funding to take on giants like Nvidia. The funding round, led by Blackrock and joined by Neuberger Berman, Type One Ventures, Cisco, KDDI, and Samsung Catalyst Fund, brings Groq's total investment to over $1 billion. This significant milestone underscores the growing interest and investment in enhancing the speed and efficiency of generative AI models. Stay tuned for more updates on how this funding will propel advancements in AI technology. Follow our page for the latest updates, insights, and innovations! Visit www.diuna.ae to check your company's readiness for AI. #AI #TechTrends #Innovation #TechForGood #ArtificiaIintelligence #technology #AInews #FutureTech #DiunaTechnologies #GenAI #AI #TechInnovation #StartupSuccess #Groq #AIChip

Groq, a startup developing chips to run generative AI models faster than conventional processors, said on Monday that it has raised $640 million in a new funding round led by BlackRock. Neuberger Berman, Type One Ventures, Cisco, KDDI Corporation and Samsung Catalyst Fund also participated. The tranche, which brings Groq’s total raised to over $1 billion and values the company at $2.8 billion, is a major win for Groq, which reportedly was originally looking to raise $300 million at a slightly lower ($2.5 billion) valuation. It more than doubles Groq’s previous valuation (~$1 billion) in April 2021, when the company raised $300 million in a round led by Tiger Global Management and D1 Capital Partners L.P. Meta chief AI scientist Yann LeCun will serve as a technical advisor to Groq and Stuart Pann, the former head of Intel Corporation’s foundry business and ex-CIO at HP, will join the startup as chief operating officer, Groq also announced today. LeCun’s appointment is a bit unexpected, given Meta’s investments in its own AI chips — but it undoubtedly gives Groq a powerful ally in a cutthroat space. Groq, which emerged from stealth in 2016, is creating what it calls an LPU (language processing unit) inference engine. The company claims its LPUs can run existing generative AI models similar in architecture to OpenAI’s ChatGPT and GPT-4o at 10x the speed and one-tenth the energy. #groq #ai #genai #openai #chatgpt #tech #news https://lnkd.in/giPn2GUc

Groq, a startup developing chips to run generative AI models faster than conventional processors, said on Monday that it has raised $640 million in a new funding round led by Blackrock. Neuberger Berman, Type One Ventures, Cisco, KDDI and Samsung Catalyst Fund also participated. The tranche, which brings Groq’s total raised to over $1 billion and values the company at $2.8 billion, is a major win for Groq, which reportedly was originally looking to raise $300 million at a slightly lower ($2.5 billion) valuation. It more than doubles Groq’s previous valuation (~$1 billion) in April 2021, when the company raised $300 million in a round led by Tiger Global Management and D1 Capital Partners. Meta chief AI scientist Yann LeCun will serve as a technical advisor to Groq and Stuart Pann, the former head of Intel’s foundry business and ex-CIO at HP, will join the startup as chief operating officer, Groq also announced today. LeCun’s appointment is a bit unexpected, given Meta’s investments in its own AI chips — but it undoubtedly gives Groq a powerful ally in a cutthroat space. Groq, which emerged from stealth in 2016, is creating what it calls an LPU (language processing unit) inference engine. The company claims its LPUs can run existing generative AI models similar in architecture to OpenAI’s ChatGPT and GPT-4o at 10x the speed and one-tenth the energy. https://lnkd.in/gXbDjRrA

More competition in GPUs is actually critical to the success of Gen AI. Without competition, Nvidia has no incentives to lower GPU prices, keeping prices high and not lowering the costs of running GenAI solutions. Another challenge is CUDA framework support. As far as I know, it only supports NVidia GPUs.

🚨 How does it feel when your portfolio startup is acquired by NVIDIA? Awesome! 🚀 It can now be disclosed that NVIDIA is acquiring our portfolio artificial intelligence startup Deci AI! 👏 Congratulations to the founders Yonatan G., Jonathan Elial, and Ran El-Yaniv, as well as fellow investors Insight Partners, Square Peg, Emerge Ventures, Jibe Ventures, Vintage Investment Partners, ICON - Israel Collaboration Network etc. 👉 Read more on Calcalist: https://lnkd.in/diSPt4Jc A few reflection points: 1/ Nvidia is very active in Israel, having previously acquired Run:ai earlier in 2024, Excelero in 2022, and started with the $6.9B acquisition of Mellanox Technologies in 2019. Now there are more than 4,000 Nvidia engineers in Israel. 2/ Deci AI was founded in 2019 and has since raised $55M in financing. We participated in the seed round when Sharin Fisher first brought the deal, then doubled down during Series A with Sharin as the lead and Victor Orlovski's active involvement. We were honored to serve on Deci AI's BoD as well. 3/ Nvidia commented on the deal 🗣️: "NVIDIA's expertise in AI will be complemented by Deci's capabilities in NAS, which automates the design of deep learning models to improve performance. Deci's engineering team has knowledge in NAS, Foundational Models, Inference, and in developing complex algorithms." This is a great appreciation of Deci AI's mission to enable deep learning models to run efficiently on any hardware in real-time. 4/ I hope that soon AI models will be built, optimized, and operated in various other environments, such as cloud or even mobile, of course with the help of Deci AI as part of Nvidia. I'm really looking forward to it! 🙏 Congratulations to my fellow colleagues at R136 Ventures, especially Victor Orlovski and Evgeny Pestryakov as well as Tom Dennedy, Ratan M. and again, to the founders and Deci's team – it was a pleasure for us to support such great entrepreneurs, engineers, and operators!

The New Normal: Rethinking Gen AI Strategies The hype surrounding gen AI application startups has begun to unravel, as many fail to meet the lofty expectations. The long-tail weakness of the gen AI models has proven to be a significant stumbling block for many use cases that seemed promising at the PoC stage. Nvidia is likely to face a significant decline in valuation due to the cooling AI startup landscape. However, the cost of using GPUs on cloud platforms may decrease as demand falls, potentially benefiting surviving startups. For investors and job seekers, consider startups that have found ways to mitigate the limitations of gen AI models. Those leveraging hybrid AI, a combination of gen AI and other AI techniques, are particularly promising.

The Token Wars of the chip startups. Why the fight for the fastest inference will influence the future of AI. „Today, Cerebras, SambaNova, and Groq are all delivering over 1,000 tokens per second, and the “token wars” have revved up considerably. At the end of August, Cerebras claimed it had launched the “world’s fastest AI inference” at 1,800 tokens per second, and last week Cerebras said it had beaten that record and become the “first hardware of any kind” to exceed 2,000 tokens per second on one of Meta’s Llama models. “ „AI models are quickly being used to power far more complex applications than just chat.“ Cerebras CEO Andrew Feldman simplifies why: „Nobody’s going to build a business on an application that makes you sit around and wait“. A piece by Sharon Goldman at Fortune. https://lnkd.in/eMs7Pxux

Scale AI valued at $14 billion in Nvidia, Amazon-backed funding round Top tech companies are swiftly integrating AI into their products and services. Startups that meet the growing demand for AI chips and machine learning have become a bright spot in the otherwise slow private funding market. #ScaleAI #AIInvestment #TechFunding #MachineLearning #EnterpriseData #DEFCON31 #AIInnovation #VentureCapital #TechNews #AIStartups #USDepartmentOfDefense #AIResearch #SafeAI #AIInitiatives #BigData #SiliconValleyTech #EmergingTech #FutureOfAI #AIandDefense #AIandTechIndustry #StartupGrowth #TechInvestors #AIIn2024 #InnovativeTech #DataScience #NextGenAI #BusinessNews #Keralanews #Kerala #BusinessReviewLive #BRL #Keralabusiness

Exciting developments in the AI world: Groq, an innovative chip startup, has just landed a staggering $640 million in Series D funding. This impressive haul boosts their valuation to $2.8 billion, marking them as a serious player in the tech arena. Industry heavyweights Cisco Investments, Samsung Catalyst Fund, and BlackRock Private Equity Partners are leading the charge, clearly seeing massive potential in Groq's vision. What sets Groq apart? Founded by former Google executive Jonathan Ross, the company is revolutionizing AI hardware with their laser focus on inference chips. These specialized processors promise groundbreaking speed and cost advantages, potentially reshaping the entire AI landscape. With this fresh influx of capital, Groq is poised to accelerate their innovations and challenge the status quo in the competitive AI chip market. The tech world is buzzing with anticipation - Groq's next moves could redefine the future of AI processing. #GroqRevolution #AIChipBreakthrough #TechInnovation #FutureOfAI For more details, check out: https://pse.is/6as7tc

🚨 Groq's remarkable funding success has just gotten even more exciting! Not only is the tech world buzzing with anticipation, but we at Assured Asset Management are thrilled to have also participated in this groundbreaking investment round! 🥳 As passionate believers in the transformative power of frontier technologies, we recognized Groq's immense potential early on. Our investment strategy focuses on identifying disruptive companies that can shape the future of their respective industries, and Groq fits this bill perfectly! Groq's innovative inference chip technology addresses a critical bottleneck in AI deployment—the need for faster, more efficient, and cost-effective processing. By revolutionizing AI hardware, they are paving the way for countless real-world applications, from data centers to edge devices. This aligns perfectly with our vision of supporting companies that drive technological progress and create long-term value. https://lnkd.in/gmgPGK65 Groq will be also be pivotal as Gen AI LLMs as a whole makes the transition from training to inferesnce and Groq looks poised to take a front seat in this drive. Do check out Groq’s play ground and try it out to see the speed of inference. https://lnkd.in/g_KVi_6b #GroqRevolution hashtag#AIChipBreakthrough hashtag#TechInnovation hashtag#FutureOfAI