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People are focusing on NVIDIA’s software transition away from the legacy GPU Control Panel, with driver updates moving users toward the Nvidia App. Separate threads also highlight ongoing NVIDIA driver/feature updates and AI-related developments, including CUDA and export/compliance news.

CEO
Jensen Huang
Founded
1993
Headquarters
Santa Clara, California
Employees
29,600
Ticker
NASDAQ: NVDA
16.7 Activity score steady · 3d
18.9 Peak score 3d window
Neutral Sentiment
20 Sources · 40 signals
Last updated · next ~13:00
3d First on radar
Key Takeaway NVIDIA appears to be retiring the classic GPU Control Panel after 20 years, pushing configuration into newer driver/app workflows.
AI summary · grounded in cited sources
Control Panel deprecation New driver features AI chips export scrutiny Godot path tracing
AI Brief

NVIDIA appears to be retiring the classic GPU Control Panel after 20 years, pushing configuration into newer driver/app workflows.

People are focusing on NVIDIA’s software transition away from the legacy GPU Control Panel, with driver updates moving users toward the Nvidia App. Separate threads also highlight ongoing NVIDIA driver/feature updates and AI-related developments, including CUDA and export/compliance news.

Trending Activity ▲ +13.2 24h
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Top 1 signals · NVIDIA appears

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Briefing Findings · NVIDIA appears

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Control Panel lifespan NVIDIA’s Control Panel app is being retired after 20 years
Driver/app bundling New NVIDIA driver updates ship in the Nvidia App
Driver version mentioned NVIDIA Control Panel note references driver 610.47
Linux driver release date signal Linux Gaming thread mentions NVIDIA driver 610.43.02

What to Watch

  • When updating to driver versions like 610.47, check whether Control Panel features are fully replicated in the Nvidia App. PC Gamer
  • Track r/Linux_Gaming for continued reports on driver 610.xx changes (Vulkan extensions, DRM Color Pipeline API). Tom's Hardware

What Changed

  • The Nvidia Control Panel is no more, an ex-control panel, kicked the bucket, run down the curtain and joined the choir invisib... okay, it's being retired PC Gamer
Source-backed brief 2 articles across 2 publications · brief is source backed Show all sources

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Direct NVIDIA · 6 Articles whose headline is primarily about NVIDIA.

techpowerup.com

NVIDIA GeForce Graphics Drivers 610.47 WHQL Drops Control Panel Support

NVIDIA has released its latest GeForce Graphics Drivers 610.47 WHQL today, introducing significant changes for consumer PC users. With this driver update, NVIDIA is retiring its Control Panel for GeFo

22h ago
neowin.net

Nvidia Control Panel officially discontinued, Nvidia App takes over

The Nvidia Control Panel is retiring after 20 years. The company says all supported features from the classic Control Panel are now available within the Nvidia app.

15h ago Pulasthi Ariyasinghe
dsogaming.com

NVIDIA DLSS 5 Settings Appear in the Latest Drivers

NVIDIA has just released a new driver for its graphics cards and from the looks of it, it adds initial support for DLSS 5.

22h ago John Papadopoulos
guru3d.com

NVIDIA GeForce 610.47 WHQL driver download

NVIDIA has released a new GeForce Game Ready Driver package focused on support for 007 First Light and several recently updated RTX-enabled PC titles. The release continues the company’s standard laun

22h ago Hilbert Hagedoorn
blogs.nvidia.com

NVIDIA Vera CPU Is ‘Packing a Heavy-Hitting Punch’ Against Competition

In the new Phoronix benchmark, Vera delivers winning performance and memory results for agentic AI.

16h ago Diana Aung
techpowerup.com

NVIDIA "Vera" CPU Benchmarked: Beating Intel Xeon and AMD EPYC in Select Workloads

Phoronix conducted an exclusive round of testing with NVIDIA's latest "Vera" CPU, showcasing early benchmarks that highlight NVIDIA's advancements in custom CPU design. The initial results indicate th

21h ago

What each outlet is saying

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TechPowerUp 6 articles

Tracking: NVIDIA "Vera" CPU Benchmarked: Beating Intel Xeon and AMD EPYC in Select Workloads / NVIDIA GeForce Graphics Drivers 610.47 WHQL Drops Control Panel Support

Tom's Hardware 4 articles

Tracking: China adds homegrown AI chips to 'secure and reliable' procurement list for the first time — nine options added as move away from Nvidia continues / Taiwan authorities arrest three on suspicion of smuggling Nvidia chips to China — operation allegedly used Japan as transshipment point before forwarding banned Supermicro servers to Hong Kong

PC Gamer 4 articles

Tracking: Nvidia CEO Jensen Huang says the company plans to invest around $150,000,000,000 in Taiwan each year, describing the country as the 'epicentre of the AI revolution' / The Nvidia Control Panel is no more, an ex-control panel, kicked the bucket, run down the curtain and joined the choir invisib... okay, it's being retired

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How does NVIDIA GB200 NVL72 deliver exascale compute? 

NVIDIA GB200 NVL72 is an exascale computer in a single rack. With 72 NVIDIA Blackwell GPUs interconnected by the largest production scale-up compute fabric, NVIDIA NVLink provides 130 terabytes per second (TB/s) of low-latency GPU communication bandwidth for AI and high-performance computing (HPC) workloads. Multiple GB200 NVL72 systems combined in a cluster create hierarchical network topology with large domains of very high networking bandwidth.  An AI training job can greatly benefit from the abundant networking bandwidth offered by GB200 NVL72, when scheduled to maximize the use of NVLink

Unlock Exascale Performance on NVIDIA GB200 NVL72 with Slurm Topology-Aware Job Scheduling | NVIDIA Technical Blog
How does GB200 NVL72 enable larger segment sizes?

In multi-GPU workloads, the job segment size defines the subunit made of nodes that can communicate with each other entirely over NVLink. Figure 1 illustrates how segment number (Y) and segment size (S) are used to define the GPUs assigned to a specific job. GPUs per node (G) is always four for GB200 and GB300.  In prior systems, such as NVIDIA HGX H100, jobs were limited to a segment size of one node. The GB200 NVL72 system supports much larger segment sizes (up to 18 nodes) while also efficiently supporting segments as a single node. The optimal segment size for a given application is determ

Unlock Exascale Performance on NVIDIA GB200 NVL72 with Slurm Topology-Aware Job Scheduling | NVIDIA Technical Blog
What is the best job scheduling approach for GB200 NVL72?

Based on our simulation results and performance testing, we recommend a scheduling approach for NVIDIA GB200 NVL72 clusters that prioritizes large job performance while maintaining high utilization. Large jobs of 64 GPUs or more should be given access to the maximum number of NVLink domains, using segment sizing to ensure proportional GPU allocation across domains. Segment-based scheduling is essential for aligning resources with workload patterns. For jobs of 32 nodes or more, a segment size of 16 is recommended if the application can benefit from it, while smaller jobs are better suited to s

Unlock Exascale Performance on NVIDIA GB200 NVL72 with Slurm Topology-Aware Job Scheduling | NVIDIA Technical Blog
Can a start-up really launch a new GPU?

There’s a logic to Bolt’s approach. Nvidia and AMD are focused on AI, but GPUs are still useful for many tasks besides AI. However, Bolt will need to overcome two key technical hurdles. The first is production. Cutting-edge silicon production is in short supply and leaders like Nvidia have most leading-edge production capacity tied up. The Zeus GPU will instead be fabricated on TSMC’s older N5 process node. Bolt is betting that an older process node will keep Zeus competitive with Nvidia on price. Bolt may also find it challenging to convince users that an unproven GPU is a safe bet. Driver su

Zeus GPU Bets on FP64 and Path Tracing Over AI
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