r/nvidia • • 22h ago

Giveaway NVIDIA RTX Spark Launch, 30 Years of Innovation Easter Egg Hunt - Win an RTX Spark Laptop

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0 Upvotes

RTX Spark laptops have arrived - and you could win one!

Designed for AI, creating and gaming, RTX Spark brings together 30 years of NVIDIA innovation — including NVIDIA CUDA, RTX, DLSS, FP4, TensorRT, OptiX, Reflex and G-SYNC — to slim Windows laptops with all-day battery life and small, compact desktop PCs. 

Our launch video is packed with Easter eggs celebrating NVIDIA and PC history, from iconic gaming moments to creative breakthroughs and developer milestones. How many can you spot?

How to enter:
To enter, share which Easter eggs from the video you found, and the story of your first PC, what it was and how it shaped your path as a developer, creator, and/or gamer. 

The most memorable entry will win an ASUS - ProArt P14 14" 3K OLED Touchscreen Laptop - NVIDIA RTX Spark N1X with 5120-core GPU and 18-core CPU - 24GB Memory - 512GB Storage - Nano Black. 

-----

Terms and conditions

NVIDIA RTX Spark is now available worldwide! For more information, follow NVIDIA RTX Spark on X, Instagram, TikTok and Facebook — and stay informed by subscribing to the NVIDIA Local AI newsletter.


r/nvidia • • 3d ago

News [Official] DLSS 5 Comes To Hogwarts Legacy & RTX Spark, Powered By 2X Faster Model

595 Upvotes

Full Article: https://www.nvidia.com/en-us/geforce/news/dlss-5-faster-ai-model-hogwarts-legacy-rtx-spark-laptops/

2026: A Year Of Relentless DLSS Innovation

Over the past 8 years, we’ve continuously innovated on DLSS, bringing new features, faster performance, and enhanced image quality.

This year has been our busiest yet, introducing DLSS 3D-Guided Neural Rendering, Dynamic Multi Frame Generation and higher Frame Generation multipliers, and delivering 2nd generation transformer AI model improvements across the entire suite of DLSS technologies.

DLSS 3D-Guided Neural Rendering Model Performance Gets 2X Faster

Through a combination of systematic pipeline optimizations and neural model refinements, the performance of DLSS 5’s 3D-Guided Neural Rendering model is improving by 2X this week, enabling even more gamers to enjoy DLSS 5’s transformative uplift in lighting and materials at higher frames rates and settings.

The DLSS 5 October update shrinks the footprint by 24% to roughly 118 million parameters while reducing 4K VRAM usage by 20%. The result is half the GPU overhead of the September version while maintaining comparable visual fidelity.

The new, more performant DLSS 5 model will debut in NBA 2K27 on October 16th on GeForce RTX 50 Series GPUs, RTX Spark laptops, and GeForce NOW, boosting frame rates by up to 1.4X. And it will ship by default with future DLSS 5 games.

DLSS 5 Coming To Hogwarts Legacy On November 5th

NVIDIA DLSS 5 with 3D-Guided Neural Rendering is coming to Hogwarts Legacy on November 5th, for GeForce RTX 50 Series, GeForce NOW, and RTX Spark.

NVIDIA DLSS 5 with 3D-Guided Neural Rendering elevates image quality, realism and immersion to new heights.

Where other DLSS technologies focus on reconstructing existing scene data to deliver higher-resolution images, additional frames, or cleaner ray-traced lighting, DLSS Neural Rendering takes the next step by using AI to generate the lifelike lighting and material details that real-time performance constraints have forced developers to strip away, allowing them to realize their original artistic vision.

Neural Rendering uses the game engine’s rendered frame, complete with its artist-designed geometry, textures, and lighting buffers, as an unyielding foundation. DLSS Neural Rendering becomes the final rendering stage of the graphics pipeline, infusing scenes with lifelike lighting and materials while ensuring the engine frame defines what must remain, and the artist directs what may change.

On GeForce RTX PCs and laptops, Hogwarts Legacy already includes support for DLSS Multi Frame Generation and Ray Reconstruction, accelerating and enhancing its ray-traced graphics that immerse players in the world of the famous school.

In a new update launching November 5th, DLSS Neural Rendering will be added to Hogwarts Legacy, and its other DLSS technologies upgraded to their newest versions. Avalanche Software has taken advantage of DLSS 5’s SDK controls to tune the integration to maintain the artistic intent and style of the game.

DLSS 5 Coming To Where Winds Meet

Where Winds Meet is a Wuxia open-world action-adventure RPG developed by Everstone Studio, offering a stunning open world, engaging action-adventure gameplay, deep RPG progression, and long-term free live-service updates for players. It has more than 100 million players worldwide and has reached a peak of over 250,000 concurrent players on Steam, currently holding a Steam rating of Very Positive (with over 116,000 reviews and still climbing).

Where Winds Meet includes support for DLSS Multi Frame Generation and Super Resolution, and in the near future support for DLSS 3D-Guided Neural Rendering will be introduced, further enhancing its world and characters. There was a ton of community demand for official support, and the developers were equally impressed with the visual upgrade to the game. 

New, Faster Performance Mode For Frame Generation Enters Beta

Today, via a new NVIDIA app beta update, we’re introducing a new faster Performance Mode for Frame Generation, for GeForce RTX 40 Series and GeForce RTX 50 Series GPUs, and RTX Spark laptops.

DLSS Multi Frame Generation and Frame Generation utilize two AI models, one that leverages game data such as motion vectors and depth to understand object motion between the two rendered frames, and a second model to calculate optical flow for elements like UI or ray-traced effects.

Labeled “Preset C,” in the NVIDIA app’s Frame Generation override, this new Performance Mode replaces the second AI model with a faster and lighter algorithm to boost frame rates for DLSS Frame Generation, Multi Frame Generation, and Dynamic Multi Frame Generation, with minor trade-offs in image quality. On a GeForce RTX 5060, this Performance Mode for Frame Generation is up to 35% faster.

To apply Preset C to your games:

  • Download and install our newest NVIDIA app update via our website, or from inside the app itself
  • Open the app, and in Settings --> About, tick “Opt in to access Beta or experimental features”
  • Wait a moment for the beta update to download, then click the on-screen message to install
  • Once installed, open the “Graphics” section of the new NVIDIA app beta and select a supported Frame Generation, Multi Frame Generation or Dynamic Frame Generation game (alternatively, select “Global Settings” at the top of the window and apply to every supported game in your library)
  • Scroll to “Driver Settings”
  • Click “DLSS Override - Model Presets”
  • Click “Custom”
  • Open the “Frame Generation” drop-down and choose “Preset C”
  • Click “Apply”

DLSS 5 Update For RTX Remix Launching October 23rd

Classic PC games are remembered for their incredible stories, characters and gameplay, but dated visuals can make them tough for modern players to enjoy. NVIDIA RTX Remix changes that. Built for RTX PCs, our modding platform uses cutting-edge path tracing, accelerated by DLSS, to reimagine timeless titles, letting longtime fans and a new generation experience era-defining games in stunning detail.

On October 23rd, we’re adding DLSS 5 with the new, faster 3D-Guided Neural Rendering model, and the faster Performance Mode for Frame Generation to RTX Remix, giving modders even more options and tools for remastering classic games.


r/nvidia • • 9h ago

Benchmarks The new Dlss5 model can deliver more than 20% perf improvement

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156 Upvotes

Doing this while reducing tdp is awesome


r/nvidia • • 1h ago

PSA Free nvidia Control Resonant bundle giveaway

• Upvotes

Code: N6Cj9pxcWwv9SEB3bSaXpHNv

Claim through nvidia app.

instructions:

"Congratulations! With your recent purchase of a qualifying NVIDIA RTX50 series desktops, laptop or graphics card1, you’ve gained free access to CONTROL Resonant.

How to redeem:

Install your qualified graphics card. Update or install the latest version of the NVIDIA app. Open and log in to the NVIDIA app. Go to “REDEEM” Enter your bundle code from your qualifying bundle purchase. Follow the remaining instructions on screen.

Your CONTROL Resonant Bundle redemption code is: N6Cj9pxcWwv9SEB3bSaXpHNv"


r/nvidia • • 14h ago

News DLSS 310.9.16 and Streamline SDK 2.14.16 released

126 Upvotes

NVIDIA Streamline SDK 2.14.16 is now available for all developers:

Bug Fixes & Stability Improvements

https://github.com/NVIDIA-RTX/Streamline/releases/tag/v2.14.16

https://github.com/NVIDIA/DLSS/tree/main/lib/Windows_x86_64/rel - dll files for games.


r/nvidia • • 10h ago

Build/Photos My old GTX 960M laptop refuses to retire even after all these years!

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31 Upvotes

Just wanted to share some appreciation for how durable this old Lenovo Y50-70 beast is. The screen has taken a beating, the touchpad is completely worn out from years of heavy use, and I've opened it up countless times to clean the fans—yet this legendary GTX 960M still boots up and refuses to give up!

​Seeing the mind-blowing new Spark tech, massive AI leaps, and modern RTX advancements being pushed today honestly feels like looking at alien technology compared to this old warrior. It’s wild how far hardware has come. Anyone else still holding onto an ancient GPU that simply refuses to die.


r/nvidia • • 3h ago

Question Is mVolt better than MSI Afterburner for undervolting?

5 Upvotes

Hi everyone,
I’m considering switching from MSI Afterburner to Mvolt for undervolting my RTX 4080 Super.
I mainly use the voltage curve editor and I’d like to know if mVolt is a better alternative to Afterburner, especially regarding stability and compatibility with RTX 4000 series GPU.

The reason I’m considering switching is that I’ve been having a frustrating issue with Afterburner.
My undervolt profile is set to 2655 MHz at 950 mV, but after every Windows boot, Afterburner lowers the frequency below my saved value, so I have to manually reapply the profile.

I’ve already tried launching Afterburner through Windows Task Scheduler with a delayed startup, but the issue persists.

Is mVolt reliable and stable on RTX 4000 series GPUs, particularly the 4080 Super?

Is its curve editor better or more consistent than Afterburner?

Does mVolt have similar issues with undervolt profiles changing after reboot?

Would you recommend switching, or sticking with Afterburner?
Thanks


r/nvidia • • 1d ago

Question What are the differences between NVIDIA Frame Generation presets A, B, and C?

80 Upvotes

Is there an official webpage about the presets?


r/nvidia • • 21h ago

Review Asus ProArt P14

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8 Upvotes

r/nvidia • • 18h ago

Question Choosing a 50 series upgrade (low-mid range)

6 Upvotes

My 2060 super is starting to show its age and I want to upgrade to a 50 series. My goal is to push my current hardware as far as it can go before likely getting a new rig in 3-5 years.

Current build:
Motherboard: Asus Prime 450M-A
CPU: Ryzen 7 3700X
PSU: 850W
Monitors: 1080p, 60hz refresh (x2)
RAM: 32GB DDR 4
Current GPU to replace: 2060 super

I was previously recommended a 9060xt 16GB model, but AMD driver timeouts and other issues including crashes convinced me back to team green again. That thing was a pain in my butt.

Right now my options on the low end of my budget are the 5060 and 5060 ti 8GB models, with my stretch budget going up to the 5060 ti 16GB or 5070 12gb. I’m not sure if those are worth the price increase with my current CPU probably being a bottleneck though.


r/nvidia • • 13h ago

Discussion NVIDIA ConnectX-8 and networking

0 Upvotes

Anyone actually using NVIDIA ConnectX-8 SuperNICs in production yet? How's the real-world performance?


r/nvidia • • 1d ago

Review Nvidia RTX Spark Analysis - Finally an answer to Apple's M5 Pro & M5 Max?

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110 Upvotes

r/nvidia • • 14h ago

Benchmarks Round 2: Nemotron 3.5 Bolt fits its full 256K context on one 3090, Qwen3.8 27B maxes out at 216K (VRAM + speed at 0/64K/128K fill)

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0 Upvotes

r/nvidia • • 1d ago

Opinion Anyone Upgraded from RTX 3090 Recently?

21 Upvotes

I´ve been considering this for a while now and it seems its not really worth it if you dont go at least to an RTX 5080.

Im not in the US so it is not that easy to sell the RTX 3090 for what it is worth now and Getting a RTX5080 is even more expensive than it should.

So, has any of you guys upgraded from an RTX 3090 to any Series 5000 GPU?

If you did, which GPU did you get and how much did your FPS in different scenarios improve?

I think im mainly trying to figure out if going to a 5070Ti or even 5070 or if it is worth it to sell a kidney to get a 5080.


r/nvidia • • 10h ago

Discussion 5090 vs 5080

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0 Upvotes

r/nvidia • • 1d ago

News Volvo taps Nvidia to roll out safer hands-free driving

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8 Upvotes

r/nvidia • • 21h ago

News NVIDIA Nemotron 3.5 Super VL is now FREE in Cline!

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0 Upvotes

r/nvidia • • 22h ago

Discussion Qwen3.8-Flash-Next FP4 on a single DGX Spark, one command (early recipe, benchmarks vs TensorFold INT4)

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0 Upvotes

Early recipe, still testing. ./start.sh serves NVIDIA's NVFP4 quant of Qwen3.8-Flash-Next over an OpenAI-compatible API on one DGX Spark (GB10).

Settings

  • vLLM in eugr's Spark image, b12x kernels for GB10
  • 262k context, FP8 KV cache
  • Up to 8 parallel sessions
  • MTP speculative decoding, 4 draft tokens
  • PLE tables offloaded to disk
  • Qwen3 reasoning + tool-call parsers

What's NVFP4? NVIDIA's 4-bit float format: every block of 16 weights shares an FP8 scale, plus one scale per tensor, so it holds up better than plain INT4. ModelOpt "mixed" keeps sensitive layers at higher precision. ~96 GB, native on Blackwell FP4 tensor cores.

Numbers (single stream), vs MiaAI-Lab's TensorFold INT4 recipe on the same GB10:

  • 256k ctx: 1,881 vs 1,970 t/s prefill, 35 vs 38 t/s decode
  • tool-eval-bench: 90/100 vs 85
  • Structured output: 83% vs 40%
  • Hard mode: 91% vs 74%
  • Tool-call TTFT: 245 ms vs 526 ms
  • TensorFold decodes faster up to 32k; FP4 holds ~35 t/s at every depth

Recipe: https://github.com/devopsfortunato/Qwen3.8-Flash-Next-FP4-Local-DGX-Spark

Credits: TensorFold recipe by MiaAI-Lab, plus NVIDIA, vLLM, and eugr for the Spark image.

Feedback welcome, especially if you've run it with concurrent sessions.


r/nvidia • • 1d ago

Review [Computerbase - German] RTX Spark review: Nvidia enters new territory

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24 Upvotes

r/nvidia • • 2d ago

Discussion M4 Max with 5090 e-gpu running much faster than 2x Nvidia sparks

40 Upvotes

So I was reading some reviews of people comparing the 256GB Mac Studio vs 2 of the Nvidia spark workstations. They mentioned costs of between $10k and $15k and posted some numbers. A few guys mentioned a video that ran the two machines head to head on various models. One of the models was qwen flash which I have and can run. You guys may have seen my post a few weeks back about getting my 5090 working on my Mac. Well the thing that stuck out to me was that the Mac was quicker in some things but was much slower on prefill and multi user. That is specifically what my shim can accomplish so I ran some tests.

These are the numbers I got from the video:

┌────────────────────┬──────┬──────────┬──────────────┐
│                    │  Us  │ M5 Ultra │ 2× DGX Spark │
├────────────────────┼──────┼──────────┼──────────────┤
│ Single-user decode │ 68.4 │ 45       │ 38           │
├────────────────────┼──────┼──────────┼──────────────┤
│ 8 users, total     │ 155  │ 66–70    │ 120          │
├────────────────────┼──────┼──────────┼──────────────┤
│ 32k cold prefill   │ 27 s │ 26 s     │ 11.2 s       │
└────────────────────┴──────┴──────────┴──────────────┘

And these are numbers I get with llamacpp with my m4 128gb laptop and 5090

As you can see I'm still working on cold prefill but for a $6k investment for the M4 and the 5090 box you get better performance on the split system. The 5090 probably blows both systems out of the water on a smaller model that fits fully in the cards Vram too.

I don't have these other systems but these are the numbers I've found. feel free to correct me if my numbers are not what you are seeing in real world testing. If you want to test this yourself I'm updating the macuda project tonight with the changes that enabled these results. I've go the driver and shim working on 3060 and 5090. I haven't tested the 3060 on these latest features yet but it's shim work mostly so it should carry over.

edited 8 user to 155 from 133 after retest


r/nvidia • • 20h ago

Question RTX 3050 for architecture

0 Upvotes

Is RTX 3050 Processor still good for a budget friendly for architecture. Im really on a tight budget right now


r/nvidia • • 2d ago

Discussion GeForce Hotfix Display Driver version 617.70

150 Upvotes

This Hotfix driver looks to be specifically targeting a couple monitor related bugs.

Article: https://www.nvidia.com/en-us/geforce/forums/g-sync-pulsar/131/586047/qhd-360-pulsar-monitors-changelog/

Download Link: https://international.download.nvidia.com/Windows/617.70hf/617.70-desktop-notebook-win10-win11-64bit-international-dch.hf.exe

Reminders:

  • Hotfix driver will not be available in NVIDIA App and needs to be downloaded from the link above.
  • After installing the Hotfix driver, NVIDIA App may show some old driver date. This is normal as Hotfix driver does not exist in NVIDIA App database and it reverted to an old default changelog and dates.
  • If you do not care about the fixes listed, this Hotfix driver is no different vs WHQL 617.42 Driver.
  • These fixes will be incorporated into the next WHQL driver release

NVIDIA Driver forum thread is here: Link Here

Submit driver feedback directly to NVIDIA: Link Here

---------------------------------

From the Article:

We now have a hotfix driver for the two below bugs. These fixes will - for now - not be in main NVIDIA driver until we can do more extensive QA.

  • QHD monitor running at 360 Hz may have occasional black flash during gameplay [4846825] 
  • When gaming on a 360Hz G-SYNC Pulsar monitor, FPS may drop to 320FPS [6408986] 

NOTE: The hotfix driver fixes some, but not all cases of the black screen issue. We are working on finding a driver solution for the remaining cases. If you still encounter this, please use the workaround: Set Manage 3D Settings --> Power Management Mode to Prefer Maximum Performance . You do need to reboot after setting that for it to take effect.


r/nvidia • • 22h ago

News MSI paints GeForce RTX 5080 heatsink yellow for Call of Duty Modern Warfare 4 edition

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0 Upvotes

r/nvidia • • 23h ago

Review Asus ProArt P16 RTX Spark Laptop Review - The future of multimedia laptops?

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0 Upvotes

r/nvidia • • 2d ago

PSA Frame Generation Presets Confirmation

43 Upvotes

For those who want to test out the new Frame Generation preset C with DLSS swapper / NVPI etc.. Instead of using the NVIDIA App override.

You can see which preset is active via the DLSS Dev overlay at the top of the screen.
(Enabled via Regedit or DLSS Swapper > settings > show onscreen indicator)

But unlike DLSS upscaling,
The DLSS Dev overlay doesnt list the preset letter in use for Frame Generation, instead look for the below variables that change based on the preset in use for confirmation:

Preset A: UIR = NA - Full
Preset B: UIR = ON - Full
Preset C: UIR = NA - Lite

(These variables are listed at the end of the FG bar)

Example with Preset C in RE9:

NOTE:
You can technically get the Alt+R overlay working with accurate preset reporting whilst using NVPI / DLSS Swapper if you enabled 'DLSS-FG - enable DLL Override' in NVPI, BUT this defeats a bit of the purpose of using these tools as it will use the NVIDIA app .dll not the local game files one. Plus then your dependant on the nvidia app version not necessarily the latest avaliable etc etc.

Edit: fixed pic caption