TensorOpera AI’s Post

🔥 Exciting to see TensorOpera AI's Fox-1 model being independently benchmarked and ranked in the top 3 small language models (SLMs) on the Open LLM leaderboard by HF! Fox-1 outperforms other outstanding open-source SLMs, including Gemma 2B by Google, StableLM 3B by Stability AI, and Phi 1.5 by Microsoft. Now, you can seamlessly use Fox-1 model to build genAI applications and deploy them on both cloud and edge devices (smartphones) via the TensorOpera AI Platform (https://lnkd.in/gNTZuHDw). #SmallLanguageModels #TensorOpera #OpenSource #onDeviceGenAI

🚀 Running Advanced AI on Low-End Devices! 🚀 Llama 3.2 Instruct (1B parameters, 4-bit quantized) running offline on an older Infinix Hot 8 Android phone, equipped with 4GB of RAM and a PowerVR GE8320 GPU. Using Ollama and Termux, the model runs directly on the device with some minor lag, yet it performs impressively well considering the low-end hardware. The key advantage here is that the entire setup operates completely offline, meaning no cloud dependency, all computations and data remain on the device, ensuring privacy and full control over your AI. This demonstrates the potential for running powerful language models locally on budget or older hardware, making advanced AI both accessible and private. Make sure you own your AI. AI in the cloud is not aligned with you, it's aligned with the company that owns it. #AI #LLM #EdgeComputing #MobileAI #Termux #Ollama #AIonMobile

What Is Accelerated Computing? Accelerated computing is the use of specialized hardware to dramatically speed up work, often with parallel processing that bundles frequently occurring tasks. It offloads demanding work that can bog down CPUs, processors that typically execute tasks in serial fashion. It lives today on your smartphone and every cloud service. And now companies of every stripe are adopting it to transform their businesses with data. To understand the concept listen to Huang’s conversation with UAE’s Minister of State for Artificial Intelligence Omar Al Olama

𝐄𝐱𝐜𝐢𝐭𝐢𝐧𝐠 𝐨𝐧-𝐝𝐞𝐯𝐢𝐜𝐞 𝐀𝐈 𝐮𝐩𝐝𝐚𝐭𝐞𝐬 𝐟𝐫𝐨𝐦 𝐐𝐮𝐚𝐥𝐜𝐨𝐦𝐦’𝐬 𝐚𝐧𝐚𝐥𝐲𝐬𝐭 𝐝𝐚𝐲 𝐩𝐫𝐞𝐬𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧𝐬! ⚡ Qualcomm announced a number of AI-related developments in their recently held analyst day 🆕: 💪 Commitment to optimizing Gen AI models for on-device execution, using techniques such as distillation, quantization, speculative decoding and more 📱Qualcomm confirmed they will launch a new mobile processor in the near future based on the Oryon cores powering the newly launched Snapdragon X Elite processor for laptops ☁️ Qualcomm confirmed they will also launch a new version of the Cloud AI 100 Ultra inference cards, likely using Oryon cores like the aforementioned X Elite processors Click below to learn more: https://lnkd.in/gxfyNFxE 📧 If you’re keen to implement real-time AI-ML use-cases in your mobile app, but wary of the challenges on cloud (latency, cost, privacy) - reach out to us at contact@nimbleedge.com!  

Ever wondered what goes on behind the scenes with Chat GPT? It's not just about building the model – it's also about using it. Unlike some statistical puzzles where a GPU speeds up model training, here, it's a double act. GPU is the superstar for both training and scoring. Every time we tap into Chat GPT, we're basically summoning the power of a GPU nestled somewhere in the vast expanse of a cloud. Picture this: a future where each of us has our own personalized GPT-esque assistant. Exciting, right? But here's the kicker – that means we'll all need our own GPU, not just in computers but also in phones and floating in the cloud. The future could be a world where GPUs are as ubiquitous as smartphones! However, while we dream about it, the reality check hits when we peek at Nvidia's share price – looks like we've got a journey ahead before we reach the summit. What are your thoughts on this GPU-powered AI future? Are we on the brink of a technological revolution, or is there still a long road ahead? Share your insights! #AI #GPU #TechTalk #FutureTech #ChatGPT #Nvidia Watch this AI Catter full video here: https://lnkd.in/ey34n-hK

Unlock unmatched efficiency and scale for your enterprise's generative AI projects with our NVIDIA HGX SXM5 H100 AI cluster. Harness the power of up to 16,384 cards in a single cluster to accelerate innovation, optimise costs, and drive transformative outcomes. Reserve access at https://lnkd.in/eRWjFhzB OpenAI Sora is redefining what's possible in generative video, crafting HD, lifelike videos from simple text prompts. As we stand on the brink of a new era in digital storytelling, the balance between innovation and ethical use has never been more crucial. Read more in Will Douglas Heaven’s article – link in the comments! #Hyperstack #GenerativeVideo #GenAI #OpenAI #Sora #AI #AISupercloud #NVIDIA #H100 #SXM5 #NVIDIADGX #GPU #Cloud #CloudComputing #GPUisWhatWeDo

Apple Intelligence is redefining on-device #AI If I understand their keynote & subsequent blogs correctly, they know that running an #LLM on device will kill the battery staying power. They are going to use a SLM instead with adapters loaded on demand. Very smart. This is going to give them a solid latency advantage! Their data shows a time-to-first token of 0.6 milliseconds on an iPhone 15 Pro. And on device , they can generate 30 tokens per second, which lags well behind GPT-4o - but remember this is happening on an iPhone Join the dots into the future, and you can see we are heading for compute diversity in AI. Anyone designing long term #AI landing zones as 100% public cloud is making a mistake (there - I said it) In #AI landing zone design, we should not follow compute availability - AI compute availability will be everywhere not just cloud. We should follow data in rest, data in use and data in motion instead. #AI-ReadyDevice #ComputeDiversity

Tech Breakthroughs: From #Google's Find My Device to #Meta's AI Chip - Weekly Roundup! Significant tech advancements were witnessed recently: Google introduced Find My Device Network for Android, aiding in offline device location. GM’s Cruise resumed human-driven taxis in Phoenix for data gathering. NVIDIA & Georgia unveiled AI Makerspace for students. Google launched Axion Processors with enhanced performance. Meta released MTIA chip for AI applications. Samsung partnered with Wilder World for NFT rewards. #OpenAI upgraded GPT-4 Turbo for advanced capabilities. #TechNews #InnovationUpdate #AIAdvancements #TechCollaboration #NFTRewards #MetaTech #GoogleAxion #OpenAIUpgrade #AlliedMarketResearch

🖼️ Exciting news from Qualcomm! Watch this video, demonstrating sub-second latencies in their implementation of text-to-image-generation ML models on a SnapDragon mobile phone processor! 💵 This has potential to be a game changer given the explosion in user volume for generative AI use-cases over the last couple of years. Corresponding to the surge in traffic, cloud costs of running generative AI systems have also exploded, with ChatGPT reported to be spending ~$1M a day on cloud compute 📱Enter on-device computing for generative AI - a viable solution to address this challenge. By leveraging the significant computational power of users’ mobile devices, cloud costs of running generative AI can be reduced significantly, while enhancing privacy posture, since user query data remains on device 📈 Qualcomm’s demonstration illustrates the power of modern smartphone processors, and the vast potential of on-device ML. Read this blog by Qualcomm to learn more - https://lnkd.in/eWRH2DwJ At NimbleEdge, we provide an on-device ML platform, which helps enterprises deliver real-time personalization and unlock significant cloud savings. Follow us for posts about ML, on-device computing, and personalization, and reach out at contact@nimbleedgehq.ai to learn more! #generatieveai #machinelearning #qualcomm #snapdragon #stablediffusion

🤝 Hugging Face and NVIDIA have teamed up to make it easier for developers to use advanced AI models. The collaboration provides seamless access to NVIDIA-powered inference for Hugging Face's massive community. Developers can quickly deploy and experiment with popular large language models like Llama 3 and Mistral AI on NVIDIA's DGX Cloud platform. This streamlined process, combined with optimized performance through NVIDIA NIM microservices, accelerates AI development and deployment. By offering serverless inference and integrating with existing training services, Hugging Face and NVIDIA are creating a comprehensive AI ecosystem. This partnership lowers barriers to entry for AI development, making it accessible to a wider audience. #AINews #NVIDIA #HuggingFace #TechNews #DeveloperNews 🌐 www.heydevs.io