GPUNET

We are pumped to unveil the new visual identity of GPUNET—a bold & global move, aligned with our founder Suraj Chawla's vision of making GPUNET a planetary-level compute grid for AI development.🌍 Launching our New Website that would be followed by new dApp & Node Operations rollout. Website now have a global enterprise look, reflecting our core values and marking our transition into a new era of Testnet and pre-mainnet launch. This update goes beyond just aesthetics; it embodies the strength and dedication of our team, representing GPUnet at a planetary level. A huge shoutout to the entire GPUNET team whose tireless efforts have brought this vision to life!🤝 Shubho Ghosh, Avinash Chawla, Shreyansh Surana, Ryan Way, Aryan Mishra, Ganesh Hegde, Sheldon Ivish, Shashank Singh Thakur, Udayan Sharma Join us in this exciting new chapter as we continue to push the boundaries of what is possible in decentralized computing. #GPUNET #GANCHAIN #AI

Future of planet's compute is not a shortage, or excess of. It is multi compute. Just like we have multi LLMs today. No single winner or loser, all coexist. As long as we have a decentralized aggregator, GPU.net is being this. Over the past two years, with deeptech relations with likes of CDAC, Nvidia and genius inhouse engineers like Shubho Ghosh, we have built a great virtualization layer and now working on a multi-gpu layer to orchestrate workloads across different chipsets. Future is not "or", it is likely Nvidia + AMD + Groq + many coexisting.

A quick intro to GPU.net We are entering an AI era, where GPUs will be the new fuel, But GPUs are Capex heavy and need extremely skilled Datacenter operations, With GPU.net you can easily access now, powered by a Decentralised capacity. Opening up our dapp version2.0 shortly.

Data security to advance with NVIDIA's Confidential Computing!🔐 Here is how this advanced tech protects your most sensitive information right inside the GPU, setting a new benchmark for data privacy. Full Link🔗 https://bit.ly/4dLofey

We're #hiring a new Head of Marketing in Bengaluru, Karnataka. Apply today or share this post with your network.

We're #hiring a new Head of Marketing in Bengaluru, Karnataka. Apply today or share this post with your network.

AI x GPU news powered by Gpunet! - Demand for faster, efficient AI chips is skyrocketing. Governments are pouring billions into boosting local manufacturing. Expect TSMC, Intel Corporation , and others to plant their roots globally, but don’t expect overnight changes. Supply chains shift slowly. With AI models moving to our devices, edge chips will drive privacy and efficiency. Defense Advanced Research Projects Agency (DARPA)'s partnership with EnCharge AI shows the push for powerful, low-energy chips. Amazon, Google, Microsoft, and Meta are developing in-house chips, challenging NVIDIA's dominance. NVIDIA is fighting back by offering its own cloud services.💼 Innovative approaches like Eva’s proton-gated transistors promise breakthroughs in AI training efficiency. Only time will tell if these new designs can scale and disrupt the status quo.

AI x GPU News powered by Gpunet. - OpenAI's GPT-4o has a massive flaw. Its Chinese token data is filled with spam phrases. This is a failure in data cleaning. GPT-4o's new tokenizer was meant to improve multi-language tasks, but Chinese tokens are polluted with junk. This isn't just a minor issue—it's impacting the model's performance and safety. If OpenAI can't clean its data, how can we trust their tech? - Built on Llama-3, ChatQA-1.5 model crushes GPT-4 in conversational QA and retrieval-augmented generation (RAG). It handles tabular and arithmetic tasks like a pro. ChatQA-1.5 sets a new benchmark. With superior accuracy and handling unanswerable scenarios, it outperforms GPT-4 and others in real-world tasks. Discover the future with ChatQA-1.5's open-source model weights, evaluation data, and training data. This is where the AI race is headed as Its performance on single-turn QA and RAG benchmarks. #AI #GPU #ChatGPT #RAG

The team at Lyzr AI have designed a course "GenAI stack for Enterprise leaders", and it is live now. Our CEO, Suraj Chawla has a session where he discusses decentralized GPU clusters. There are limited spots available so grab a spot now! The course includes sessions from domain experts in AI/ML.

AI X GPU News powered by Gpunet -Google's latest AI at Google IO is here. Veo, Project Astra, and the revamped Gemini 1.5 Pro. Veo is their top video generation model, producing stunning 1080p videos over a minute long. It can animate images and edit videos with pinpoint accuracy.Project Astra is Google's AI assistant, rivaling OpenAI's GPT-4o. Gemini 1.5 Pro now has a lightweight Flash version and a 2M token context variant. - Exciting times for AI devs: RAPIDS cuDF is now in Google Colab. Instantly accelerate your pandas code up to 50x using GPU power. Imagine processing huge datasets in seconds instead of minutes. Just add `%load_ext cudf.pandas` to your Colab notebook and watch the magic. With RAPIDS cuDF, you get the power of GPUs without changing your pandas code. Experience up to 50x speedups on the DuckDB benchmark with NVIDIA L4 GPUs.