Lumai’s Post

👉 Delighted to have been part of this semiconductor success story coming out of the Cambridge cluster and to support its growth. 👉 The excellent recent UKTIN Expert Working Group Future Capabilities paper acknowledged the UK's expertise in GPU design and AI technology, name-checking Graphcore, Arm, Codasip, Imagination Technologies and Apple's design centre near Watford but - somewhat plaintively - concluded that "in general, it is still safe to say that all AI activity will done on foreign chips, designed in the US and made in Taiwan." 👉 Kudos to Walter Goodwin and the Fractile team and investors Kindred Capital VC and NATO Innovation Fund (NIF) for taking up the challenge of disproving that prediction! 👉 Its strategy for sidestepping the CUDA lock-in from which nVidia benefits (and which makes it hard for a start-up to break into the AI for training space), by focusing on scaleability and in-memory compute for IA inference (rather than AI training), is intriguing. Definitely one to watch. #Semiconductors #Innovation #SiliconCatalyst #ChipStartUK

Nebius Group Raises $700M to Expand AI-Optimized Data Centers and Launch New AI Studio place plus… Here’s the TL;DR: 1. Major Funding: Nebius secured $700M in a private placement led by Nvidia, Accel, and Orbis Investments, driving the company’s mission to scale AI data centers and infrastructure globally. 2. Expansion Plans: With a focus on AI workloads, Nebius will triple the capacity of its Finland data center, integrate Nvidia H200 chips, and launch three new facilities across North America and Europe. 3. AI Studio Debut: Nebius's AI Studio provides hosted access to open-source models like Llama 3.1 and plans to expand into generative image and video AI, targeting $750M–$1B in revenue by 2025. Follow Brian Com and Ai101x Newsletter for the latest updates… #ai #ArtificialIntelligence #founder #startup

At E1 Ventures, we firmly believe that #AI is about hardware as much as it is about software. As AI continues to evolve, it's crucial to recognize that its advancements are powered by both cutting-edge algorithms and the robust hardware that supports them. The role of GPUs, TPUs, and specialized processors cannot be overstated. Our investment strategy encompasses not only AI hardware but also the critical infrastructure that supports this technology. By funding both the cutting-edge hardware and the foundational infrastructure required for AI, we are paving the way for a new era of technological achievements and ensuring that the ecosystem is robust enough to sustain continuous innovation. We are constantly searching for startups building the AI infrastructure. Silicon Valley Bank https://lnkd.in/gguJiCbz

🛰 Breaking News in AI: Cerebras Launches Game-Changing Inference Solution! Excited to share that Cerebras, an AI startup, just unveiled their Cerebras Inference - claiming it's 20x faster than NVIDIA GPU-based solutions at 1/5th the price! 🤯 Here's why this matters: 1️⃣ Speed: 1,800 tokens/second for Llama3.1 8B model 2️⃣ Efficiency: Eliminates memory bandwidth bottleneck 3️⃣ Innovation: Uses largest chip in the world with 44GB SRAM As someone who's been in the AI industry for years, I'm amazed at how rapidly the field is evolving. This could be a game-changer for businesses looking to implement AI solutions more efficiently. What do you think? Could this disrupt the current AI hardware landscape? 🤔 #AIInnovation #TechBreakthrough #CerebrasInference #FutureOfAI #BusinessTechnology

NVIDIA CEO Jensen Huang says the level of computing performance is about to grow exponentially during the coming decade, enabling new AI innovations and capabilities. “Over the next ten years, our hope is that we could double or triple performance every year at scale.” “I wouldn’t be surprised, if the way people think about Moore’s Law which is 2X every couple years, we’re going to be on some kind of hyper Moore’s Law curve.” “When you double or triple every year in just a few years it adds up. It compounds really, really aggressively.” “The scale of the problems we could address has changed a lot, we set ourselves up to be able to scale computing and develop software at a level nobody has ever imagined before.” #ai #aifactory #digitalinfrastructure

Excited to partner with NVIDIA’s Michael Balint to discuss building AI pipelines with NVIDIA NIMs [accelerating deployment into an AI pipeline by 128x] In the session we’ll cover: ↳ How AI Pipelines differ from traditional workflows and getting started ↳ Integrating with NVIDIA products, with a focus on NVIDIA NIMs ↳ Key challenges and solutions unique to AI pipelines ↳ Real-world examples of complex AI pipelines ↳ Insights on how AI pipeline orchestration is expected to evolve Register for the session here: https://lnkd.in/dR2SGv88 NVIDIA AI, NVIDIA for Startups

Hugging Face Strengthens AI Storage with XetHub Acquisition #TechExpansion Hugging Face Inc., a leader in open-source machine learning, has made a strategic move by acquiring XetHub, a startup known for its expertise in AI project file management. This acquisition, Hugging Face’s largest to date, underscores the growing importance of efficient storage solutions in the AI sector. Hugging Face already hosts over 1.3 million AI models and 450,000 datasets, and with major investors like Nvidia Corp., the stakes are high. XetHub's innovative technology will be integrated into Hugging Face's platform, aiming to revolutionize how AI models and datasets are stored and updated. By breaking files into manageable chunks, XetHub drastically reduces update times—transforming what used to be hours into mere minutes. This efficiency boost is crucial for Hugging Face’s Enterprise Hub, enhancing user experience significantly. As AI continues to expand, how do you see storage technology evolving to meet future demands? #HuggingFace #XetHub #AIStorage #Nvidia #MachineLearning #OpenSource #AIInnovation #TechAcquisition #Saasverse

🌟Synthara gets $11m to bring in-memory computing to embedded AI🌟 Synthara AG has raised $11 million to boost embedded AI with its in-memory computing technology, ComputeRAM. This funding comes from Vsquared Ventures, OTB Ventures, Onsight Ventures, and others, plus significant grants from European and Swiss organizations. Founded in 2019, Synthara’s ComputeRAM technology integrates computing into on-chip memories. This means big improvements in energy efficiency and reduced latency for AI applications, all without changing existing chip architectures. With support from Hermann Hauser, co-founder of Acorn and ARM, Synthara is set to lead in high-performance computing innovation. What new possibilities do you think this technology will unlock?🔓 #AI #Semiconductors #InMemoryComputing #TechInnovation #EmbeddedAI #Synthara

We're thrilled to share that z-emotion has officially joined the prestigious NVIDIA Inception program! This momentous step not only underscores our commitment to innovation but also opens up a world of possibilities for us and our partners. For those who aren't familiar, NVIDIA Inception is a platform designed to nurture startups pushing the boundaries of AI and data science. By becoming a part of this community, z-emotion gains access to NVIDIA's technology, resources, and expertise. This collaboration sets the stage for us to propel industries forward through groundbreaking technological advancements. 🔗 Read more in our recent article: https://lnkd.in/dgh7vXBZ #zemotion #NVIDIAInception #AI #3D

Yesterday at Gitex, we explored some incredible hardware solutions. I’m holding a model of AMD’s Instinct MI300X, a high-performance data center unit built for intensive AI workloads. It’s engineered to handle the demanding tasks of deep learning, machine learning, and large-scale data processing — an impressive piece of technology for modern AI applications! 🔥 While AMD offers some fantastic options, we also discovered NVIDIA’s Inception Program — an exciting opportunity for startups to accelerate growth with cutting-edge technology, expert support, and connections to top VCs. It’s the perfect catalyst for scaling AI, data science, and HPC projects! 🚀 We’re excited for this next chapter and can’t wait to dive deeper into these resources to elevate our work. Stay tuned for what’s next! 🙌 #Gitex2024 #TechInnovation #AMD #NVIDIAInception #AI #Startups