NVIDIA Announces Release of Next-Gen AI Upscaling Technology DLSS 5 This Fall
- Published
- Source
- ITmedia.co.jp
NVIDIA revealed on July 20 that it will launch its next-generation AI upscaling technology, DLSS 5, in the fall of 2026 during the SIGGRAPH 2026 conference. This new technology will utilize a neural network to generate entire screen patches, enhancing the realism of rendered images through a one-step pixel space diffusion transformer model.
The introduction of DLSS 5 marks a significant shift from previous versions, which relied on reconstruction methods. According to Edward Liu, Director of Applied Deep Learning Research, DLSS 5 will add a new category of 'generation' to its capabilities, positioning AI as an enhancer of graphics rather than a replacement. This advancement is expected to provide developers with more control over the rendering process, including automatic character recognition and targeted enhancements.
In related news, Microsoft and French startup Mistral announced a strategic partnership on July 21 to expand AI computing capabilities in Europe. This partnership aims to enable European companies to utilize frontier AI while retaining data management rights. Mistral plans to deploy thousands of NVIDIA's Vera Rubin Superchips to enhance GPU capacity, supporting Microsoft's cloud and AI services. No further timeline was disclosed at the time of publication.
Original report
[ITmedia PC USER] NVIDIAが次世代AI超解像技術「DLSS 5」の今秋投入を明らかに／MicrosoftとMistralが欧州におけるAI演算能力の拡大で戦略的提携を発表
ITmedia.co.jpThis briefing is an independently written summary based on publicly available reporting and is provided for industry information and news discovery. The original report and source publication are credited and linked where applicable. RobotToday does not claim ownership of third-party source material.
Rights concerns? Contact [email protected] with the relevant URL and details. We will review the matter and take appropriate action where warranted.
More related news
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10
- 11
- 12
Related Suppliers
NVIDIA Robotics
United States
NVIDIA robotics division delivering Isaac simulation and training tools, Jetson edge compute modules, and Omniverse digital twin frameworks for physical AI.
Deci AI (Acquired by NVIDIA)
Israel
Israeli deep learning optimization startup acquired by NVIDIA in May 2024 for ~$300M; known for AutoNAC neural architecture search technology.
Microsoft Corporation (Robotics)
United States
Microsoft provides robotics developers ROS-on-Windows support, the AirSim open-source simulation platform, and Azure cloud services for robot fleets and AI.
Mistral Solutions
India
AXISCADES subsidiary providing chip-to-product embedded design for robotics, industrial autonomous systems, defense electronics and drones.
Boreal Groupe Mistral
France
French RPAS maker founded 1998, producing long-endurance fixed-wing UAVs for maritime surveillance, earth observation and defense; part of Mistral Group.
Nscale
United Kingdom
London-based Nscale runs a full-stack AI/GPU cloud platform and on Aug 1, 2026 agreed to acquire Anyscale for $1.65 billion.
Uvision
Israel
Emek Hefer, Israel maker of HERO loitering munitions; its US arm shares a USD 982 million US Army IDIQ award for HERO 120 with Mistral Inc.
Stellantis N.V.
Netherlands
Dutch multinational automaker (14 brands, ~272k employees) pursuing SAE Level 4 robotaxi deployment via a 2025 Pony.ai partnership.
Jidoka Technologies
India
Indian Vision AI firm delivering turnkey machine-vision defect detection and process-monitoring for manufacturing and logistics.
THRYVE Automation
United States
US factory automation integrator merging Jewett Automation, FTS, and S&J Precision; 40+ years of experience, 2,500+ systems installed globally.
AI Robot Association (AIRoA)
Japan
Tokyo non-profit association of Japanese industry and academia collecting open robot data and building robot foundation models, backed by NEDO.
AI, Data and Robotics Association (Adra, asbl)
Belgium
European public-private partnership association driving AI, data, and robotics research and innovation under Horizon Europe.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Join the RobotToday community on LinkedIn
Daily robotics news, in-depth analysis, conference highlights, and discussions with professionals worldwide.
