For over 20 years, we've dedicated ourselves to removing language barriers so people can learn, speak and connect more deeply than ever before.
Today, we’re taking our next step with the release of Gemini 3.5 Live Translate — our latest audio model for live, speech-to-speech translation across 70+ languages. 🧵
📢 [CVPR’26] Can we learn to detect, segment, and track every object in a video without human supervision?
Yes, we introduce VideoCUPS, the first unsupervised video panoptic segmentation (VPS) method: 1. Get pseudo-labels from monocular videos. 2. Train a VPS model on them.
TypeScript 7.0 Beta is here!
Built on a new native and parallelized foundation, it's already being used on multi-million line codebases.
Read up more here and try it on your projects today!
https://t.co/mYN3MPp1ab
Highlighting recent advances in multi-GPU and tensor parallel support in llama.cpp
Over the last few months llama.cpp maintainers and engineers from NVIDIA collaborated to improve the multi-GPU performance in ggml. This resulted in significant performance gains on RTX systems and laid the groundwork for hardware-agnostic tensor parallelism in ggml.
For more information on this and other advancements in the low-level inference engine of llama.cpp, check the technical blog by @NVIDIARTXSpark below
@vr8vr8@AndrewDev8383 Never guess NVIDIA’s prices based on production costs. Jensen is a genius at market segmentation. Though honestly, they have a massive cushion to cut prices if they want to. 😍