Groq的封面图片
Groq

Groq

半导体制造业

Mountain View,California 137,773 位关注者

Groq builds the world’s fastest AI inference technology.

关于我们

Groq is fast AI Inference. The Groq LPU? AI Inference Technology delivers exceptional compute speed, quality, and energy efficiency. Groq, headquartered in Silicon Valley, provides cloud and on-prem inference at scale for AI applications. The LPU and related systems are designed, fabricated, and assembled in North America. Learn more and try Groq speed today at groq.com.

网站
https://groq.com/
所属行业
半导体制造业
规模
201-500 人
总部
Mountain View,California
类型
私人持股
创立
2016
领域
ai、ml、artificial intelligence、machine learning、engineering、hiring、compute、innovation、semiconductor、llm、large language model、gen ai、systems solution、generative ai、inference、LPU和Language Processing Unit

地点

Groq员工

动态

  • Groq转发了

    查看Jorge Rodriguez的档案

    Manager, Financial Planning & Analysis at Groq

    Groq - and our team - are growing fast. We just posted 2 FP&A Analyst roles - one role with a focus on budgeting and another with a focus on forecasting & modeling. This is a foundation-setting role at the center of Groq's incredible products. We're particularly interested in candidates with experience working within the Hardware, SaaS, or AI industries. Come join us: please apply directly through the links below if you are interested! Budgeting FP&A Analyst: https://lnkd.in/da_Eddrp Forecasting FP&A Analyst: https://lnkd.in/dpFDHsvF

  • 查看Groq的组织主页

    137,773 位关注者

    查看Sonam G.的档案

    aiXplain Developer Advocate | Podcast Host | Experienced Data Scientist

    ?? AI just made travel planning way easier! What if you had an ???? ???????????? ?????????? that could handle the overwhelming task of searching flights, comparing hotels, and crafting itineraries—all in seconds? That’s exactly what my colleague Asma built using aiXplain's ?????????????? ??????????????????, powered by Groq's ??????????????-???????? ??????????????????. ?? With ???????????????? + ????????, you get: ? Faster responses – No more long wait times for AI to process requests ? Seamless agent building – No deep AI expertise needed ? Customizability – Fine-tune agents for your specific needs This integration shows how effortless it is to build powerful AI agents—just check out the code tutorial or watch the quick demo: https://lnkd.in/djt7hc_R ?? Want to see this agent in action? We’re hosting a webinar soon with a full walkthrough—stay tuned for details! ?? And if you want the full breakdown, the blog post dives into the details [Link in comments]. ???? ???????????? + ???????? ?????????????????? = ?????????????? ??????????????????????????. What’s the next use case you’d automate? ?? This wouldn’t have been possible without collaborating with Hatice Ozen.

  • Groq转发了

    查看Jon Tait的档案

    Compute & Talent @ Groq | Venture Advisor & Investor

    Groq this: I'm hiring my replacement! Role: Global Head of Talent Acquisition Mission: Enable Groq to scale by assembling the most talent dense team on the planet You: love your craft, can change altitude easily, have scaled from small to big, have built and led high performing teams, innovate and get stuff done, walk the talk, have a deep curiosity and ability to learn, and are kind and real The team: You get to work with an amazing Talent team, including the legendary Allison Hopkins Apply by 23rd March: I will be reviewing all applications and every candidate will hear from me. Please share with your network. It’s not hyperbole to say this is the opportunity of a lifetime What does this mean for me? I’m moving into operations to help bring to life our AI datacenters with compute partners around the world. This is building on the work I have done over the last 6 months working with an incredible team to create the first AI DC in the Middle East. It also means that I’ll be handing over my lego’s with a smile (hat tip to Molly). Thanks Rahul, Allison, Sunny and Jonathan for your support. Let’s go!???

  • 查看Groq的组织主页

    137,773 位关注者

    Congrats to Sai Shruthi Balaji, Narendar Sriram & Abhirami Saravanan,?winners of the Best on Groq ?? at the AI for Good Hackathon, where hackers competed to create AI-driven solutions that align with the United Nations Sustainable Development Goals (https://sdgs.un.org/goals) Their project, Solulu, is an AI-powered social engagement app to encourage teens to engage in outdoor activities and form social connections. GitHub Repo: https://lnkd.in/gGvjrR8F

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  • Groq转发了

    查看Jonathan Ross的档案
    Jonathan Ross Jonathan Ross是领英影响力人物

    CEO & Founder @ Groq, the Most Popular API for Fast Inference | Creator of the TPU and LPU, Two of the World’s Most Important AI Chips | On a Mission to Double the World's AI Compute by 2027

    DeepSeek made it abundantly and nakedly clear that the models have been commoditized. If there was any doubt before, that doubt is now over. So, what is the moat right now? For me, I love Hamilton Helmer's "Seven Powers." If marketing is the art of decommoditizing your product, the 7 Powers are the best known ways to do it. ???? Scale Economies ???? Network Effects ???? Brand ???? Counter positioning ???? Cornered resources ???? Switching costs ???? Process Power But companies get too much attention. In a world where people say that AI is going to commoditize everyone, how do you de-commoditize yourself? If you’re a software engineer, if you’re a sales rep, if you’re a people manager - how can you apply these 7 powers to yourself? Let’s start with examples from companies and translate that to you. You have to give Sam Altman and OpenAI credit, they have an incredibly strong brand. Why? They didn’t invent LLMs, they didn’t even perfect them. They were first to put an LLM online and show it to the general public. How could a software engineer do the same? If we wanted to talk about network effects, the undisputed king is Meta. Imagine if someone made a bit exact copy of WhatsApp, Facebook, Instagram, etc., and you logged in, and no one was there. Would you use it? They’ve built network effect businesses with billions of people. Meta didn’t become successful accidentally, they invented the concept of the centralized growth hacking org. Can you learn from how Meta did what they did to build your own personal network? Have you ever heard of the Toyota Production System? Toyota is famous for having one of the most efficient car manufacturing systems in the world. Surprisingly, if you ask they’ll give you a tour and explain everything they know about it. After decades of people trying to replicate it, no one has succeeded. Is there anything that you do, that even if you explained everything you knew about it, others couldn’t copy you?

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  • Groq转发了

    查看Mark Minevich的档案

    Chief AI Officer | C-level | Strategist | Venture Capitalist | ex-IBM ex-BCG | Board member | Best Selling Author | Forbes Columnist | AI Startups | Founder of most influential think tanks | ????

    At the Constellation Research, Inc. AI Forum in Menlo Park, I had the privilege of moderating a high-impact discussion on the future of AI infrastructure. As AI adoption accelerates, the challenge isn’t just building smarter models—it’s running them at unprecedented speed and efficiency. We were joined by industry leaders shaping the future of AI compute: ?? Sunny Madra (Groq – Disrupting AI inference with Groq’s blazing-fast LPU chips. ?? Niv Zilberman (Aquatron DC Partners, formerly Intel) – Scaling sovereign and hyperscale AI data centers worldwide. ?? Holger Mueller (Constellation Research) – A leading analyst on AI-driven enterprise infrastructure. ?? Compute is the New Competitive Edge – Microsoft is investing $80B in AI data centers in 2025, scaling liquid cooling, 120kW+ high-density racks, and AI-optimized cloud services. ?? The Chip Wars: NVIDIA, AMD, Intel… and Groq – NVIDIA’s Blackwell GPUs dominate training, but Groq is rewriting inference with its LPUs, running models 10x faster and cheaper than GPUs. ?? $1 Trillion+ AI Data Center Investment is Coming – AI’s projected $8.75T economic impact by 2027 is fueling a compute arms race, with sovereign AI infrastructure and real-time AI at the forefront. ?? Sunny Madra , COO & President at Groq is a visionary leader redefining AI inference with Groq’s breakthrough LPU chips. ? Serial Entrepreneur – Co-founded and exited multiple tech companies: ? Autonomic (acquired by Ford) ? Xtreme Labs (acquired by Pivotal/VMWare) ? Definitive Intelligence (acquired by Groq) At Groq, he’s scaling the world’s fastest AI inference chips, delivering real-time processing at an unmatched 500+ tokens per second ?? Saudi Arabia’s AI Compute Revolution ? Partnered with Aramco Digital to launch the world’s largest AI inference data center in Dammam, built in just 8 days! ? Groq is delivering 25M tokens/sec by Q1 2025. Saudi Arabia is now a global AI compute hub. Sunny’s message was clear: AI isn’t just about training models—it’s about running them at game-changing speeds. Groq is making that happen. ?? Niv Zilberman, COO of Aquatron DC Partners, is a leader in hyperscale AI infrastructure, overseeing 240MW+ of AI compute across four continents. ? Former VP & GM at Intel – Led sovereign cloud and AI compute innovation. ? Architect of the “Data Center Of Tomorrow” (DCOT) – Delivering AI-ready infrastructure at massive scale. Governments and enterprises are now prioritizing sovereign AI infrastructure, and Niv is at the forefront of this shift. ?? The Road Ahead From Groq’s LPUs to sovereign AI data centers, the compute revolution is here. Those who invest in AI infrastructure today will define AI’s future. A huge thank you to Sunny Madra, Niv Zilberman , and Holger Mueller for an incredible discussion. Thanks to my co-chair R "Ray" Wang for making this happen!! #AICompute #Groq #Hyperscale #DataCenters #AIInference #ConstellationAIForum

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