# Q4 15 Sept ‘25 - 15 Nov ‘25 1. All the products (Astra, Agents, AI Models, GPUs, Drops, GVEX, GAN Chain, Subnets, Roadshow and Stats) are moved under one roof, in the web app 2. Quests rebranded to Drops, new Drops have started popping up, Astra Drops is live. 3. Unified user authentication is live, where you can login with email or any wallet into the GPUnet ecosystem and use any product. 4. Our verifiable exchange GVEX () is live with two trading pairs, GPU/USD and NODE/USD, is live. We have almost 80K volume in the two pairs. 5. Block explorer for our L1 GANchain is live at . It displays all the blocks, transactions and accounts on GANchain. 6. New User Profile page in subnets, where you can see everything we know about that user, their wallet address, rewards, staking, etc 7. Under the roadshow section, we have deployed an easy way to get into GPUnet ecosystem, we call it the Get $GPU section, here you can simply buy $GPU with any currency (crypto or cards). 8. In the stats section of [gpu.net](http://gpu.net), we have publicly displayed our numbers across the products, soon there will be more extensive stats on all our products.
Sneak Peak: 1. Astra is being reworked to give you the best response from all the top class LLMs out there. Image and Video gen to be a part of the same chat with common context. 2. Consult a physician in the language of your choice in the upcoming agents section. Netflix of agents?? 3. Many more Drops will pop up soon, get a chance to earn more GPU. 4. Agents trading on your behalf? More AI coming on GVEX. 5. GANchain page (our blockexplorer) will soon be powered by AI, search in the most human language to get the appropriate response, about the chain, transactions, or addresses. 6. Lastly, a new look to GPUnet is coming soon. Beta Release within this month. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.gpu.net/dev-updates/q4.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.