Bringing AI Closer to the Edge and On-Device with Gemma 4
Mirrored from NVIDIA Developer Blog for archival readability. Support the source by reading on the original site.
The Gemmaverse expands with the launch of the latest Gemma 4 multimodal and multilingual models, designed to scale across the full spectrum of deployments, from...The Gemmaverse expands with the launch of the latest Gemma 4 multimodal and multilingual models, designed to scale across the full spectrum of deployments, from NVIDIA Blackwell in the data center to Jetson at the edge. These models are suited to meet the growing demand for local deployment for AI development and prototyping, secure on-prem requirements, cost efficiency, and latency-sensitive use…
More from NVIDIA Developer Blog
-
How to Govern Autonomous Agents in Enterprise AI Factories
Jun 29
-
Deploy a Production-Ready NVIDIA AI-Q Blueprint on Oracle Cloud Infrastructure
Jun 26
-
Creating the NVIDIA Nemotron 3 Ultra NVFP4 Checkpoint with NVIDIA Model Optimizer
Jun 26
-
Streamlining Resource Binding with End-to-End Support for Vulkan Descriptor Heaps
Jun 25
Discussion (0)
Sign in to join the discussion. Free account, 30 seconds — email code or GitHub.
Sign in →No comments yet. Sign in and be the first to say something.