We have rolled out a fix to let way more people sign up simultaneously, so please try again if you hit the hanging issue during onboarding earlier.
Tracking more issues, keep the feedback coming!
@antigravity Those who are stuck few things that can help.
1. Do not use a workspace account. Use a gmail account.
2. If your account is age restricted (under 18) its also not working.
We are excited for all of you to try it out. So over the next few hours/days we will be fixing login issues.
@ryanmhickman@yusufiysah@antigravity I don’t have any insight into the future of that project. But they cover different areas. Firebase studio is a browser first experience where Anti Gravity is more suited for on device work. I can see both being useful tools in our arsenal.
👋 Meet the new GKE! Autopilot compute classes are now available for all qualifying clusters—not just dedicated Autopilot ones.
Turn on Autopilot, at any time, on a per-workload basis, for near real-time, vertically and horizontally scalable compute → https://t.co/BsInqRkMZ3
Today, we introduced Gemini CLI, an open-source AI agent that empowers developers with a versatile, local utility that can be directly accessed from the terminal. From code to content, and deep research to task management, Gemini CLI is built for cross-platform compatibility with extensibility through MCP bringing the power Gemini to your terminal.
https://t.co/oa15St2seC
🚀 Don't forget to dial in for our livestream from KubeCon + CloudNativeCon EU 2025 in London 🇬🇧this week
https://t.co/z4lLbo76IO
We will be live-streaming a daily recap from the event. Check the dates/hours below 👇
#KubernetesPodcast#Livestream#Kubernetes
We will be live from #KubeConEU25 tomorrow with @moficodes and the @KubernetesPod and every day for a daily recap of the event. Dial in ▶️
Details in the post below 👇
Hey everyone! 👋 Guess what?
💎Gemma 2 (9B)💎 is now available on Google AI Studio!
Go play around with it and let me know what you think! 😄
https://t.co/MeytWrv07v
#gemmaverse
I really like the approach we took to improve scalability of GKE. Rather than building a non idiomatic feature (Glares at Karpenter), we focused on making upstream components hum on GKE and once again proving that GKE is the fastest and most efficient managed Kubernetes experience.
https://t.co/zztWtyhytM
Using Ray for your AI/ML workloads? Learn how to secure them on GKE with the fresh off the press #ContainerBytes episode with @sideberns and @moficodes https://t.co/8MrVoogern
Check out the links in the description to try out Ray on GKE for yourself!
#GenAI#ray#GKE#security
We wanted to make sure we have a number of different ways to access the model. There is c++ version, a notebook that you can run on colab for free. The model is available for download on Huggingface or Kaggle. Excited to see what we can do with finetuning and RAG.