Everyone is behind on AI.
Even if you’re in the field, every day, building, it’s just so easy to lose something the big picture.
Each year we gather a group of top thinkers and builders - researchers, founders, executives, engineers, and investors to do a 360 and try to catch each other up and fall down a few Rabbit Holes along the way.
Join us for the AI Rabbit Hole 2026: the AI Bubble Tea Party.
The lineup for this year is already insane: founders of top AI startups, researchers from top labs, execs from key infrastructure players, the most active and successful VCs.
Here’s a video from our last one:
Wrong model = slow app.
We help you pick the right one for your GPU.
You can now explore a new Models section on our platform — with performance-optimized versions of open-source models like Qwen, Mistral, Llama, DeepSeek, and Flux.
These models are tuned for real tasks:
→ image generation and editing
→ chat & Q&A
→ brand asset creation
How it works:
1. Pick your hardware (H100, L40S, B200, or custom).
2. Compare speed, quality, and memory with a slider.
3. Test in the Playground.
4. Deploy in 1 line.
Built in a familiar format — like Hugging Face, but tuned for speed.
Runs anywhere: @awscloud , @Azure , @nebiusai , or your own VPC.
Try it — kinda fun.
👉 https://t.co/y03kvT0zDR
🎩 Optimizing inference with math: TheStage AI and its framework
https://t.co/FHJy7OW4QQ
The inference market has grown so significantly that inefficiencies between revenue and inference costs have emerged. @TheStageAI’s solution, which uses our infrastructure, is designed to close this gap. Based on an award candidate @CVPR article and other papers, the product is an automatic neural network analyzer, or ANNA for short.