VFF - The signal in the noise
News

Nvidia Retires GeForce Control Panel After 20 Years

Read original
Share
Nvidia Retires GeForce Control Panel After 20 Years

Nvidia has officially retired its GeForce Control Panel application after 20 years of service, completing a transition that began over two years ago. The company has migrated all actively supported features to its newer Nvidia App for Game Ready and Studio Driver users. RTX PRO users will continue to have access to the Control Panel, indicating a phased retirement approach based on user segment.

  • Nvidia Control Panel officially retired after two decades of service
  • All GeForce user features migrated to the new Nvidia App
  • Transition began over two years ago with gradual feature porting
  • RTX PRO users retain Control Panel access for now

The Control Panel retirement marks the end of a legacy software tool that defined GPU driver management for millions of Windows users. The transition to a modern app reflects broader industry shifts toward consolidated, cloud-connected software platforms. Users will need to adapt to the new Nvidia App interface and workflows.

For Nvidia, consolidating driver management into a single modern application reduces maintenance overhead and enables better telemetry and feature integration. For system builders and IT departments managing Nvidia GPUs at scale, the transition requires testing and potential workflow adjustments across their environments.

  • Legacy software support cycles are ending, requiring users to migrate to modern platforms
  • Nvidia gains a single point of control for driver management and user engagement
  • Enterprise RTX PRO segment receives different treatment, suggesting tiered product strategy

Monitor whether the new Nvidia App gains feature parity with the Control Panel and how quickly enterprise users adopt it. Watch for any performance or compatibility issues reported during the transition period, particularly among power users and system integrators who relied on Control Panel advanced settings.

OneUpAI
OneUp Your Business. Get More Done. OneUp Your Business. Get More Done. OneUp Your Business. Get More Done.
Learn More
Share

Subscribe to the newsletter

The latest stories and analysis, delivered to your inbox.

Free. No spam. Unsubscribe any time.

Related stories

inDrive to test Pony.ai robotaxis in Kazakhstan in 2027
TrendingNews

inDrive to test Pony.ai robotaxis in Kazakhstan in 2027

inDrive, a ride-hailing competitor to Uber, plans to launch robotaxi testing with Pony.ai in Kazakhstan's capital during the first half of 2027. The partnership involves Nvidia technology and marks inDrive's entry into autonomous vehicle operations. The tests will evaluate robotaxi viability in a Central Asian market.

by Jagmeet Singh· TechCrunch AI
Kazakhstan Builds AI Compute Hub with 45,000 NVIDIA GPUs
TrendingNews

Kazakhstan Builds AI Compute Hub with 45,000 NVIDIA GPUs

NVIDIA CEO Jensen Huang visited Kazakhstan on October 23, meeting with President Kassym-Jomart Tokayev and Deputy Prime Minister Zhaslan Madiyev to discuss the country's AI infrastructure expansion. Firebird announced a major investment agreement securing 45,000 NVIDIA Grace Blackwell GPUs for a data center launching in Q3 2027, while Kazakhstan pursues Kazakh-language AI models and physical AI applications in mining, agriculture, and logistics. The visit signals Kazakhstan's shift from planning to deploying compute infrastructure as part of a broader strategy to export AI capabilities alongside its energy resources.

by Rev Lebaredian· NVIDIA Blog (AI)
European Retailers Cut AI Costs 90% With Open Models
TrendingNews

European Retailers Cut AI Costs 90% With Open Models

European retailers are deploying NVIDIA-accelerated open models and robotics to cut costs and improve operations. Shopify reduced inference costs by 90% through post-trained models, Zooplus achieved 86% search accuracy in product discovery, and L'Oréal accelerated ingredient research from months to hours using AI-based screening. The deployments span digital commerce, fulfillment automation, and R&D workflows.

by Mavi Nafria· NVIDIA Blog (AI)
Power Becomes the AI Bottleneck, NVIDIA Pushes Integrated Solutions
TrendingNews

Power Becomes the AI Bottleneck, NVIDIA Pushes Integrated Solutions

NVIDIA is promoting its DSX AI Factory Platform as a solution to power infrastructure bottlenecks, which currently affect over 200 gigawatts of U.S. projects in interconnection queues and create more than $300 billion in equipment backlog. The platform integrates grid, facility, and compute systems through simulation, flexible demand management, and optimization tools. Major energy and infrastructure companies including GE Vernova, Hitachi Energy, Schneider Electric, and Siemens Energy are adopting or developing complementary solutions to address the power constraint problem.

by Vladimir Troy· NVIDIA Blog (AI)