Gemma 4 - Page 17
Stories from Gemma 4 come first, newest first, then stories from connected topics (NVIDIA Jetson, on-device AI, Nvidia, AI Models, AI), each labelled with where it comes from. This view is not indexed by search engines.
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NVIDIA Says Its DLSS 5 Model Is Now Twice as Fast and Smaller, at About 118 Million Parameters
NVIDIA says its DLSS 5 rendering model is 2X faster, shrinking to about 118 million parameters, with Hogwarts Legacy support due on 5 November.
Scaleway Announces an AMD MI355X GPU Cluster in Stockholm, an NVIDIA B300 Cluster in Copenhagen and a Three-Zone Milan Region
Scaleway announces an AMD MI355X GPU cluster in Stockholm, an NVIDIA B300 cluster in Copenhagen and a three-zone Milan region. No investment figure given.
NVIDIA Readies Its RTX Spark Laptops for Local AI Agents With a New Open Model, Nemotron 3.5 Bolt
NVIDIA's open Nemotron 3.5 Bolt model for local AI agents on RTX Spark PCs arrives 15 October, and its PAIR router leaves beta today.
NVIDIA Opens Vera Rubin Rack Designs to OCP, Meta Adopts Spectrum-6 and Google’s Falcon Comes to ConnectX-10
At OCP, NVIDIA contributed Vera Rubin rack designs via MGX 1.2 (up to 250kW racks), a Vera CPU rack spec, and said Meta is adopting Spectrum-6 switches.
NVIDIA and Cisco Plan USFP, a New Pluggable Optics Form Factor for 400Gb/s Per Lane
NVIDIA and Cisco plan USFP, a pluggable optics form factor for 400Gb/s per lane and up to 12.8Tb/s. No ship date or price. Efficiency figures are claims.
Google Open-Sources ML Drift, the GPU Engine Inside LiteRT, Under Apache 2.0
Google has open-sourced ML Drift, the GPU engine inside LiteRT, under Apache 2.0. The 40%, 30% and 12% figures are Google's own claims; the old TFLite GPU delegate gets no new features.
Small Open Models That Answer in One Pass: Liquid AI’s d1 and Perplexity’s pplx-embed-v2-late
Liquid AI open-sourced two "decision models" that give a structured answer in a single pass, in about 8 ms on an RTX 4090 by Liquid's figures. Perplexity open-sourced two search models that read text, images and PDF pages without OCR, where a small model can query an index built by a big one. What each does, in plain words.
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