Wondering what could be the best platform for your edge AI project? 🔍 Figure this out in minutes with the ST Edge AI Developer Cloud! The free online platform for edge AI projects now supports #STM32 MPUs, smart sensors and STM32 MCUs. Create, optimize, and benchmark your neural network for a broad variety of ST devices. No software installation, no board required. Also available in the newly launched ST Edge AI Suite. ➡️ Start exploring now: http://spkl.io/604047jAC #EdgeAI #STEdgeAI #AI
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In the rapidly evolving world of technology, GPUs are proving to be the true game-changers for AI discovery. Their unparalleled processing power is not only accelerating computations but also enabling groundbreaking advancements in artificial intelligence. As we continue to push the boundaries of what's possible, GPUs are at the forefront, driving innovation and unlocking new potential.🚀 Boost your processor now☎️ 7300061770 . . . #stackgpu #launch #AI #business #grwoth #boost #Processor #live #GPU #gamechanger #airconditioning #rendering #GPUComputing #gpuprocessor #cloud #Graphic #resources #graphiccard #graphicsprocessing #AIprojects #TechRevolution #GPUs #Innovation
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After being the first (and so far only) AI cloud/on premise provider globally to release MLPerf Training Power Consumption benchmarks, it's great to see analysts such as Beth Kindig highlighting the industry problem. New benchmarks are hard to interpret - have a look at our comprehensive power results (smc.co/mlperfv40). They provide the first open-book look at the end-to-end power requirements for building and running an AI Factory. Put simply: how much energy goes in, and how much knowledge comes out. We've proven our technology is a solution right now to AI's big energy problem. Delivering GPU clusters in market today using up to, and over, 50% less energy than legacy deployments. #AIPowerConsumption #GPU #Unpackingenergy
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Computing and visualization at a new scale...
NVIDIA announced its 6G Research Cloud platform for next-generation wireless. Ansys, Keysight Technologies, Nokia, and Samsung Research America (SRA) are among the first platform users, including NVIDIA Aerial Omniverse, Digital Twin, Aerial CUDA-Accelerated RAN, and Sionna Neural Radio Framework. https://nvda.ws/4cwESuS #GTC24
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Chairman at Firmus and SMC - Leaders in AI infrastructure using liquid immersion, supercomputing and energy efficiency.
Power in knowledge out - that is most relevant equation and SMC solves it
After being the first (and so far only) AI cloud/on premise provider globally to release MLPerf Training Power Consumption benchmarks, it's great to see analysts such as Beth Kindig highlighting the industry problem. New benchmarks are hard to interpret - have a look at our comprehensive power results (smc.co/mlperfv40). They provide the first open-book look at the end-to-end power requirements for building and running an AI Factory. Put simply: how much energy goes in, and how much knowledge comes out. We've proven our technology is a solution right now to AI's big energy problem. Delivering GPU clusters in market today using up to, and over, 50% less energy than legacy deployments. #AIPowerConsumption #GPU #Unpackingenergy
AI Power Consumption: Rapidly Becoming Mission-Critical
social-www.forbes.com
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Consultant in Patent Intelligence and Engineering Management
Whatever power it may have, a solution must be able to solve the problems. Is there any of the artificial Intelligence (AI) products you know can answer the following questions, with the power of such technology? "Who, in England of UK, has new US patents granted on the nearest Tuesday, when the USPTO releases the newly granted US patents on a weekly basis?" "Who, in the "江蘇‘’ province of China, has new US patents granted on the nearest Tuesday, when the USPTO releases the newly granted US patents on a weekly basis?" With our intellectual property (IP), we can. Do you or any of your contacts need our expertise and our IP? We're selling, NOT just talking. Thanks. Here is our pitch deck: "Experiment results showed that with our intellectual property (IP), a copyrighted multilingual metadata, we are doing what AI, like ChatGPT, can't do in data analytics. Without metadata, NO data can be found/retrieved, even by the most advanced technologies, like AI, supercomputers, etc. https://lnkd.in/g-aJFnXR Our IP can also make your information service UNIQUE in the world." P.S. We wrote this post ourselves, without using any AI tool.
NVIDIA announced its 6G Research Cloud platform for next-generation wireless. Ansys, Keysight Technologies, Nokia, and Samsung Research America (SRA) are among the first platform users, including NVIDIA Aerial Omniverse, Digital Twin, Aerial CUDA-Accelerated RAN, and Sionna Neural Radio Framework. https://nvda.ws/4cwESuS #GTC24
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Sales @ SMC: World's most energy efficient GPU infrastructure to democratize access to AI.
With each new AI acceleration, the evolution of GPUs to support numerous LLMs leads to a substantial rise in power consumption. SMC - Sustainable Metal Cloud addresses this issue by providing GPU clusters that consume over 50% less energy compared to traditional deployments. #GPUCluster #Sustainbility #SMC
After being the first (and so far only) AI cloud/on premise provider globally to release MLPerf Training Power Consumption benchmarks, it's great to see analysts such as Beth Kindig highlighting the industry problem. New benchmarks are hard to interpret - have a look at our comprehensive power results (smc.co/mlperfv40). They provide the first open-book look at the end-to-end power requirements for building and running an AI Factory. Put simply: how much energy goes in, and how much knowledge comes out. We've proven our technology is a solution right now to AI's big energy problem. Delivering GPU clusters in market today using up to, and over, 50% less energy than legacy deployments. #AIPowerConsumption #GPU #Unpackingenergy
AI Power Consumption: Rapidly Becoming Mission-Critical
social-www.forbes.com
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Exciting times in tech! 🌟 As NVIDIA's CEO Jensen Huang highlights in a recent Yahoo Finance interview, the demand for their cutting-edge GPUs is skyrocketing. We are proud to be an NVIDIA Elite Partner, harnessing their state-of-the-art technology, including their upcoming NVIDIA Blackwell infrastructure, to power our sustainable GPUaaS solutions. Together, we're pushing the boundaries of AI, deep analytics, and beyond. It's good to be first in line, when there's not enough to go around. Reserve NVIDIA Blackwell GPUs at https://lnkd.in/erz3javr Read Yahoo Finance's article at https://lnkd.in/e959ea-M. #NVIDIA #GPU #Cloud #CloudComputing #Innovation #AIInfrastructure #AI #MachineLearning #GPUisWhatWeDo
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Attending #OCW24 ? Explore an action-packed schedule tailored for video enthusiasts: ▶️ Visit us at the Data & AI Pavilion accelerated by NVIDIA ▶️ Discover a demo of optimized massive video rendered from a 3D design using NVIDIA Omniverse platform technology ▶️ Learn about AI enhancement and upgrading to the high-performance AV1 format ▶️ Try Beamr Cloud, using NVIDIA’s accelerated computing platform, for video optimization and modernization service - easily accessible on Oracle Cloud Learn more with NVIDIA at Oracle CloudWorld 2024, see the link in the first comment 🔽 To book a meeting with Beamr video experts team, use the link in the second comment 🔽 NVIDIA AI #beamr #NVIDIA #NVIDIAOmniverse #OpenUSD #AI #video #optimization
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CGG has launched an #AI #Cloud solution, tailor-made for #data-#intensive industries like #LifeSciences, digital media, #manufacturing, and #geoscience. This cutting-edge service is set to optimise and accelerate demanding AI workloads, driving innovation and competitiveness in these sectors. Agnes Boudot, EVP of HPC & Cloud Solutions at CGG, emphasises the exponential growth in demand for AI, data science, and HPC workloads. CGG's AI Cloud offering aims to provide end-to-end AI solutions, streamlining workflows efficiently while meeting sustainability commitments. Powered by the latest high-performance architecture, including NVIDIA H100 Tensor Core GPUs, CGG's AI Cloud ensures optimal performance for AI fine-tuning and inference. Plus, with a pre-installed software environment tailored for each client, customisation is seamless. #AI #CloudComputing #Innovation
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Targeting growing demand in the AI retail and safety markets, Advantech announces its collaboration with NVIDIA to integrate NVIDIA Metropolis Microservices for Jetson into the latest Advantech AI Network Video Recorder (NVR), the MIC-717-OX, which is based on NVIDIA Jetson Orin NX system-on-modules. https://ow.ly/hliO50QtQA1 The MIC-717-OX is equipped with multiple video inputs, video storage, Metropolis Microservices integration, iService cloud solution, and Over-the-Air (OTA) service. Developers can easily adopt AI on the MIC-717-OX through simple API calls, saving both time and costs on AI development and deployment. 📘 Read the full Press Release : https://ow.ly/hliO50QtQA1 NVIDIA #NVIDIARobotics #AI #EdgeAI #Metropolis #Orin
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2moVery promising!