Google Cloud is also aiming to be model agnostic in terms of what can run, though it is hedging its bets somewhat. “We do not restrict any LLMs, users can run any models they want,” Randive said.

Google Cloud's recent enhancement to its serverless platform, Cloud Run, with the addition of NVIDIA L4 GPU support, is a significant advancement for AI developers. This move, which is still in ...

Google Cloud has launched NVIDIA GPU support for Cloud Run, enhancing its serverless platform with scalable, cost-efficient GPU resources. This upgrade enables rapid AI inference and batch processing, ...

In addition, the Cloud Run GPUs also support non-AI tasks such as on-demand image recognition, video transcoding, streaming and 3D rendering, Google said.

As we move into 2025, it’s no surprise that enterprises face real challenges trying to manage cloud costs. There are no perfect options. You can repatriate the applications and data back to on ...

The new Robotics On-Device model is almost as adaptable as the hybrid model with cloud processing. Credit: Google A "demonstration" in AI robotics is a bit different from other areas of AI research.

Google quietly launched AI Edge Gallery, an experimental Android app that runs AI models offline without internet, bringing Hugging Face models directly to smartphones with enhanced privacy.