#GPU optimization

[jcmarchi]

End GPU underutilization: Achieve peak efficiency

New Post has been published on https://thedigitalinsider.com/end-gpu-underutilization-achieve-peak-efficiency/

End GPU underutilization: Achieve peak efficiency

AI and deep learning inference demand powerful AI accelerators, but are you truly maximizing yours?

GPUs often operate at a mere 30-40% utilization, squandering valuable silicon, budget, and energy.

In this live session, NeuReality’s Field CTO, Iddo Kadim, tackles the critical challenge of maximizing AI accelerator capability. Whether you build, borrow, or buy AI acceleration – this is a must-attend.

Date: Thursday, December 5 Time: 10 AM PST | 5 PM GMT Location: Online

Iddo will reveal a multi-faceted approach encompassing intelligent software, optimized APIs, and efficient AI inference instructions to unlock benchmark-shattering performance for ANY AI accelerator.

The result?

You’ll get more from the GPUs buy, rather than buying more GPUs to make up for the limitations of today’s CPU and NIC-reliant inference architectures. And, you’ll likely achieve superior system performance within your current energy and cost constraints. 

Your key takeaways:

The urgency of GPU optimization: Is mediocre utilization hindering your AI initiatives? Discover new approaches to achieve 100% utilization with superior performance per dollar and per watt leading to greater energy efficiency.

Factors impacting utilization: Master the key metrics that influence GPU utilization: compute usage, memory usage, and memory bandwidth.

Beyond hardware: Harness the power of intelligent software and APIs. Optimize AI data pre-processing, compute graphs, and workload routing to maximize your AI accelerator (XPU, ASIC, FPGA) investments.

Smart options to explore: Uncover the root causes of underutilized AI accelerators and explore modern solutions to remedy them. You’ll get a summary of recent LLM real-world performance results – made possible by pairing NeuReality’s NR1 server-on-a-chip with any GPU or AI accelerator.

You spent a fortune on your GPUs – don’t let them sit idle for any amount of time.

[xavalav]

i can be trusted around adobe products

[bitchfitch]

I wish there was a way to summon in an ally in Elden ring while telling them that I only need/want help with 1 unnamed enemy that my computer keeps shitting itself to death over and so is literally impassable.

I just need someone to kill this guy to death while I sit on the side and fan my computer.

[ozzyfromthecafeteria]

eyes up computer parts evilly

[perilegs]

ok me being able to play the game on low graphics and cutscenes at medium does have an effect on the stuff i can do with the cutscenes. man.

[03349656115]

appleiphone

[r0semultiverse]

I think there should be a hacker group dedicated to making games more optimized

Like make TF2 run on 2 GB of RAM as god intended.

[dodomingo]

Goddamnit, now that Unity is pulling is bullshit now EVERYONE is gonna use Unreal Engine, I'm so tired of funny fortnite unoptimized resource destroyer

[coldmail750]

boy howdy is cities skylines 2 a big fat disappointment

[g0dtier]

ark survival ascended may be the worlds worst optimized game of all time that has every bug in existence but my desktop pc started as a glorified ark machine and by god it will die that way

i had a 3060ti. is it reasonable for a game to not hit 60fps on 2K with medium settings on a 3060ti even with frame gen enabled? absolutely the fuck not. did i buy a 4070 super and a new cpu to compensate? yes. can i now somehow hit 60-80fps on 2K on epic settings? for some reason yeah

[asharid]

Perkembangan Laptop Gaming di 2025: Apa yang Baru?

Industri gaming terus berkembang pesat, dan begitu juga dengan teknologi yang mendukungnya. Tahun 2025 menghadirkan inovasi terbaru dalam dunia laptop gaming, termasuk peningkatan performa GPU, layar dengan refresh rate tinggi, serta desain yang lebih ringan dan efisien. Jika Anda seorang gamer yang ingin tetap up-to-date dengan tren terbaru, artikel ini akan membahas segala hal tentang…

[autumnoakes]

chat it was a mistake to watch the trailer for that new silent hill game

[techedgey]

Guide How to Optimizing Your Gaming PC for Ray Tracing

In the ever-evolving world of How to Optimize Gaming PC for Ray Tracing, few technologies have made as massive an effect in current years as ray tracing. This rendering approach simulates the bodily behavior of light to create stunningly sensible reflections, shadows, and international illumination. But as many gamers speedy find out, enabling those attractive consequences can placed even effective systems on their knees.

I nonetheless keep in mind the first time I enabled ray tracing in Cyberpunk 2077. My as soon as-clean gameplay changed into a slideshow presentation, and I learned the difficult manner that optimizing a gaming PC for ray tracing calls for more than simply flipping a switch in the settings menu.

Whether you've been scouring Reddit posts approximately how to optimize gaming PC for ray tracing, searching for excellent ray tracing optimizations, or diving into technical discussions approximately r raytracing culling techniques, this comprehensive guide will assist you in squeezing the exceptional overall performance out of your hardware even as taking part in those excellent ray-traced visuals.

Table of Contents

Understanding Ray Tracing Technology

Hardware Requirements for Ray Tracing

Software Optimizations for Ray Tracing

DLSS, FSR, and XeSS: Your Ray Tracing Allies

Ray Tracing Culling Techniques

Step-via-Step Optimization Guide

Monitoring and Fine-Tuning Performance

Reddit-Approved Ray Tracing Tweaks

Future-Proofing Your Ray Tracing Setup

Conclusion

Understanding Ray Tracing Technology

Before we dive into optimization strategies, it's crucial to recognize what makes ray tracing so worrying on your hardware.

Traditional rasterization rendering (what games have used for many years) works by converting 3D models into 2D pixels for your display, then applying lights and effects in a while. It's fast but is based on various shortcuts and approximations for lighting fixtures.

Ray tracing, however, simulates character mild rays, tracing their path as they leap off surfaces, refract thru materials, and in the end attain the virtual digicam. This physically accurate technique creates a great deal extra realistic lighting fixtures, reflections, shadows, and international illumination—however at a fantastic computational fee.

A pal of mine who works in recreation improvement explained it to me in this manner: "Imagine having to calculate the direction of thousands and thousands of light rays, 60 instances in keeping with second, at the same time as additionally dealing with all of the different factors of rendering a sport. That's why ray tracing is this type of overall performance hog."

Hardware Requirements for Ray Tracing

Let's be honest—optimizing your gaming PC for ray tracing starts with having the right hardware. While software program tweaks can help, they can handiest take you so far if your system doesn't meet the basic requirements.

Graphics Cards

For ray tracing, your GPU is the star of the display:

NVIDIA RTX Series: The pioneers of consumer ray tracing hardware, from the 2000 collection to the brand new 5000 series (as of early 2025). The RTX 4080 and 4090 are presently among the exceptional performers for ray tracing workloads, with the 5000 collection showing promising upgrades.

AMD Radeon RX Series: Starting with the RX 6000 collection, AMD delivered ray tracing competencies, with performance enhancement notably in the RX 7000 collection and more recent models.

Intel Arc Series: Intel's committed GPUs additionally help ray tracing, even though they're still gambling catch-up with NVIDIA and AMD in phrases of raw ray tracing overall performance.

I learned this lesson the hard manner after I tried permitting ray tracing on my vintage GTX 1080. The recreation technically allowed me to turn it on, but the framerate dropped to approximately three FPS—essentially a completely pricey slideshow.

CPU Requirements

While ray tracing is on the whole GPU-intensive, your CPU still performs an important function:

A contemporary multi-center processor (6+ cores encouraged)

High unmarried-thread performance for sport common sense

Sufficient CPU cache and memory bandwidth

RAM and Storage

Other components that affect ray tracing overall performance:

16GB RAM minimum, 32GB advocated for excessive-quit systems

Fast NVMe SSD storage to deal with the larger texture and asset facts that frequently accompany ray-traced video games

Software Optimizations for Ray Tracing

Once you have got appropriate hardware, software program optimizations grow to be crucial for balancing visual first-class and overall performance.

Driver Updates

This would possibly appear apparent, but I've visible countless Reddit threads in which customers whinge about bad ray tracing performance only to discover they are going for walks with old drivers.

NVIDIA, AMD, and Intel frequently launch motive force updates especially optimized for ray tracing in new games

Sometimes, a driver replacement on my own can improve ray tracing overall performance by way of 10-15%

Just closing month, I changed into struggling with stuttering in a ray-traced game until I found out I had skipped the ultimate two-driver updates. After updating, the difference becomes nighttime and day.

Game-Specific Settings

Not all ray tracing effects are created identically. Most video games provide unique tiers of ray tracing:

Ray-traced shadows: Generally the least worrying effect

Ray-traced reflections: Moderate performance impact but very visually awesome

Ray-traced worldwide illumination: Usually the maximum disturbing putting

A smart technique is to permit simplest the ray tracing outcomes that make the largest visual difference for each specific game. For example, in a sport with lots of water and glass, ray-traced reflections might be worth the performance hit, whilst ray-traced shadows might be less noticeable.

DLSS, FSR, and XeSS: Your Ray Tracing Allies

One of the only ray tracing optimizations is pairing it with upscaling technologies:

NVIDIA DLSS (Deep Learning Super Sampling)

DLSS uses AI to upscale video games from a lower internal resolution in your display decision, dramatically enhancing performance even as preserving visual pleasant. DLSS three.Five and more recent variations are specially powerful at maintaining ray tracing detail.

My private experience: Enabling DLSS 3 in Cyberpunk 2077 took my framerate from an unplayable 25 FPS to a smooth 75 FPS with ray tracing nonetheless enabled.

AMD FSR (FidelityFX Super Resolution)

AMD's solution to DLSS works throughout a much wider variety of hardware, together with NVIDIA GPUs. While early variations couldn't healthy DLSS quality, FSR three.0 and more recent variations have narrowed the space notably.

Intel XeSS

Intel's go-platform upscaling technology works further to DLSS and FSR, offering any other alternative for enhancing overall performance while retaining ray tracing first-rate.

When browsing a way to optimize gaming PC for ray tracing Reddit discussions, upscaling technology are continuously the most endorsed answer for balancing first-rate and overall performance.

Ray Tracing Culling Techniques

Now let's dive into one of the extra technical elements of ray tracing optimization: culling.

R raytracing culling refers to strategies that reduce the range of rays that want to be calculated by well determining which of them are not likely to make contributions drastically to the very last photograph.

What is Ray Culling?

In easy phrases, ray culling is ready being selective with which mild rays you calculate. There's no want to hint rays that may not have a great impact at the final photo.

Several culling techniques exist:

Frustum culling: Only calculating rays in the participant's view

Occlusion culling: Skipping rays that could be blocked using opaque items

Distance culling: Reducing ray detail for remote items

R raytracing culling radius: Limiting the distance that rays will tour from their origin

A recreation developer pal explained it to me like this: "Without culling, ray tracing would be like calculating each single photon in a scene. With culling, we are being smart approximately which light paths truly rely to what the participant sees."

Implementing Ray Culling

For developers the usage of engines like Unreal or Unity, r raytracing culling alternatives are often to be had within the rendering settings. For game enthusiasts, these optimizations are typically dealt with below the hood, however expertise them facilitates give an explanation for why positive settings affect performance the manner they do.

Some video games with superior snapshot settings allow tweaking culling-related parameters:

Ray tracing distance: How a long way ray-traced outcomes increase from the digital camera

Ray bounce limit: How in many instances a ray can jump earlier than the calculation stops

Culling threshold: The important degree below which rays are culled

When I experimented with those settings in the latest sport, I found that lowering the ray tracing distance from "Ultra" to "High" advanced my performance by approximately 20% with minimum visual distinction in the course of ordinary gameplay.

Step-via-Step Optimization Guide

Now that we understand the foundations, permits create a sensible, step-by-step technique for How to Optimize Gaming PC for Ray Tracing:

1. Update Your System

Update GPU drivers to the modern-day model

Ensure Windows is up to date

Update your recreation to the ultra-modern patch

2. Enable GPU Hardware Scheduling

On Windows 10/11:

Go to Settings > System > Display

Click on Graphics settings

Turn on "Hardware-multiplied GPU scheduling"

Restart your pc

This setting offloads some image scheduling from the CPU to the GPU, doubtlessly enhancing ray tracing overall performance.

Three. Configure Nvidia Control Panel / AMD Radeon Software

For NVIDIA users:

Right-click on the computer and select "NVIDIA Control Panel"

Navigate to "Manage 3-D settings"

Set "Power control mode" to "Prefer most overall performance"

Set "Texture filtering - Quality" to "Performance"

Ensure "CUDA - GPUs" has your GPU selected

For AMD customers:

Open AMD Radeon Software

Go to the Gaming tab

Select your sport or add it if not listed

Set "GPU Workload" to "Graphics"

Consider putting "Anti-Lag" to "Enabled"

Four. Optimize In-Game Settings

Start with ray tracing set to "Medium" or equivalent

Enable DLSS/FSR/XeSS (set to "Balanced" or "Performance" mode)

Reduce these settings which heavily impact performance:

Volumetric lights/fog

Screen area reflections (redundant with ray-traced reflections)

Shadow pleasant (for non-ray-traced shadows)

Particle results nice

Consider decreasing the decision to 1440p if you're on a 4K display

Five. Monitor and Adjust

Use an on-screen show device like MSI Afterburner to reveal:

Framerate

GPU usage

VRAM usage

Temperatures

Aim for stable overall performance rather than maximum settings

I carried out these actual steps while putting in Cyberpunk 2077 on my buddy's new gaming PC. By cautiously balancing the settings, we have been capable of reap 60+ FPS with ray tracing enabled on his RTX 4070, which to start with struggled to preserve even 45 FPS with default "RT Ultra" settings.

Monitoring and Fine-Tuning Performance

Achieving optimal ray tracing overall performance is an iterative method. Here are a few gear and strategies to help you monitor and great-song your setup:

Performance Monitoring Tools

MSI Afterburner with RivaTuner: The gold preferred for in-recreation performance monitoring

NVIDIA FrameView / AMD Radeon Performance Metrics: Vendor-unique gear with distinct metrics

HWiNFO: For monitoring machine temperatures and figuring out potential thermal throttling

Identifying Bottlenecks

When monitoring, look for these signs:

GPU utilization at ninety-seven-a hundred: Your GPU is the proscribing aspect (maximum not unusual with ray tracing)

CPU cores at excessive utilization: Potential CPU bottleneck

High VRAM utilization: You may need to lessen texture pleasant or decision

Thermal throttling: Components lowering overall performance due to high temperatures

Overclocking Considerations

Carefully implemented overclocking can help with ray tracing performance:

GPU middle and reminiscence overclocking can provide five-15% overall performance upgrades

Improved cooling is important for maintaining overclocked overall performance

Undervolting can sometimes improve overall performance using decreasing thermal throttling

I do not forget struggling with a specific ray tracing-heavy sport until I realized my GPU turned into thermal throttling. After improving my case airflow and growing a custom fan curve, my performance stepped forward by almost 20% without changing any game settings.

Reddit-Approved Ray Tracing Tweaks

The gaming community on Reddit has ended up being a superb aid for ray tracing optimizations. Here are a number of the simplest tweaks I've gathered from various subreddits:

From r/nvidia:

"RT shadows are frequently the least major RT impact. Turning them off whilst preserving RT reflections can provide you with again 10-15 FPS with minimum visible impact."

"DLSS Frame Generation (DLSS 3.0+) is a game-changer for ray tracing performance on supported playing cards."

"If you are CPU constrained, enabling 'NVIDIA Reflex' can assist lessen system latency and clean out frame pacing."

From r/AMDHelp:

"FSR 3. Zero with Frame Generation enabled works noticeably nicely with ray tracing on RDNA 3 playing cards."

"Ray traced shadows at low first-class regularly look better than traditional shadow techniques at the same time as performing higher than extraordinary RT shadows."

From r/pcmasterrace:

"Custom decision scaling: Set your render decision to 85-90% and compensate with polishing filters for a performance enhance that's difficult to observe visually."

"For video games that help each DLSS/FSR and ray tracing, usually allow the upscaling generation first, then upload ray tracing outcomes one at a time until you locate your performance candy spot."

One in particular beneficial Reddit tip stored my gaming enjoy in Control. A user recommended simplest allowing ray-traced reflections while leaving the other RT consequences off, then using DLSS Performance mode. This aggregate gave me ninety% of the visible wow element with approximately 40% higher performance than complete RT.

Future-Proofing Your Ray Tracing Setup

As the ray tracing era keeps adapting, here are some considerations for future-proofing your setup:

Hardware Considerations

When upgrading, prioritize GPUs with robust ray-tracing acceleration

Consider the VRAM ability—ray tracing frequently calls for greater memory

Don't neglect CPU enhancements, as games have become increasingly more multi-threaded

Software Evolution

Keep an eye fixed on new variations of DLSS, FSR, and XeSS

Watch for improvements in r raytracing culling strategies

Stay updated on new motive force optimizations specifically for ray tracing

A developer pal who works on rendering technologies informed me some thing interesting: "The destiny of ray tracing is not pretty much raw GPU energy—it is about smarter algorithms that may get more visual exceptional from fewer rays. The r raytracing culling radius and comparable strategies will become increasingly more sophisticated."

Conclusion

Optimizing your gaming PC for ray tracing is both an art and a science. It requires expertise in the generation, having the proper hardware, applying appropriate software program settings, and constantly first-rate-tuning your setup.

Remember that an appropriate stability between visual nice and performance is rather non-public. Some game enthusiasts prioritize rock-stable framerates, at the same time as others are willing to just accept occasional dips beneath 60 FPS to experience the maximum sensible lighting fixtures and reflections feasible.

By applying the strategies included in this guide, from basic driving force updates to superior ray tracing optimizations and r raytracing culling issues, you will be properly prepared to get the most out of this progressive rendering era.

The next time you boot up a recreation with ray tracing enabled, take a moment to realise just how a long way gaming pictures have come—and understand that with the proper optimizations, you are experiencing them at their best.

Have you found another effective techniques for improving ray tracing overall performance? Share your stories and keep the discussion—after all, the gaming network prospers while we share our know-how.

[diagnozabam]

Revoluția AI Local: Open WebUI și Puterea GPU-urilor NVIDIA în 2025

Într-o eră dominată de inteligența artificială bazată pe cloud, asistăm la o revoluție tăcută: aducerea AI-ului înapoi pe computerele personale. Apariția Open WebUI, alături de posibilitatea de a rula modele de limbaj de mari dimensiuni (LLM) local pe GPU-urile NVIDIA, transformă modul în care utilizatorii interacționează cu inteligența artificială. Această abordare promite mai multă…

[sharon-ai]

AI Infrastructure Solutions: The Backbone of High-Performance AI Development

Artificial Intelligence is transforming industries across the world, and to accomplish that, it needs a strong foundation in the form of infrastructure support for complex tasks like deep learning, machine learning, and data analysis. Advanced AI infrastructure solutions form the core on which AI models are developed, deployed, and optimized.

What is High-Performance AI Infrastructure?

High-performance AI infrastructure refers to a specific hardware-software combination that caters to intensive computational needs of AI-related tasks, such as deep learning models training, and predictions. Computer systems of conventional type rarely provide the capability for handling such operations; thus, advanced infrastructure is highly reliant.

These comprise of:

- Powerful GPUs:

 These are designed with parallel computing in mind so that they can accelerate any AI task far beyond any standard CPU.

- Massive Storage: 

AI models require vast amounts of data, requiring scalable and fast storage solutions.

- Efficient Networking: 

High-speed communication for smooth data flow during training and inference processes.

This infrastructure allows businesses to complete AI tasks more efficiently, enhancing innovation and accuracy.

Role of AI Workload Optimization

AI workload optimization services are an important way of enhancing the efficiency of processes in AI. The right services would ensure that data processing and model training are all done effectively.

Optimizing AI workloads provides numerous benefits.

- Reduces Processing Time:

 Proper infrastructure reduces the time for training models and making predictions.

- Increases Resource Utilization:

 Optimized workloads use computing power as much as is available.

- Cost Savings: 

Resource consumption management reduces hardware expenditure and energy consumption.

Optimization helps companies harness the full potential of infrastructure with high performance, giving better results and higher efficiency.

Why AI Infrastructure is So Important for Deep Learning

Deep learning needs unique infrastructure to handle massive data as well as computing power used in training complex models. Without proper infrastructure, deep learning projects can become slow, inefficient, and costly.

With the right AI infrastructure, businesses can:

Train complex models: Deep learning models require large datasets and quite a bit of processing power. High-performance infrastructure accelerates the training process.

Scale AI projects: As deep learning models evolve, businesses need infrastructure that can scale with increasing data and computational demands.

GPU-Powered Infrastructure: The Boost for AI Development

GPU-powered AI infrastructure accelerates both the training and inference processes of AI models. GPUs are better suited than CPUs for handling the parallel tasks common in machine learning and deep learning, making them essential for fast, efficient AI development.

Benefits include:

- Faster Training Times: GPUs can process multiple tasks simultaneously, significantly reducing training time.

- Faster Inference Speed: Once the models are trained, they make rapid predictions, a must for real-time applications.

The Future of AI Infrastructure

As AI keeps advancing, the call for powerful infrastructure will go only higher. Whether optimization of workloads, making use of GPU-powered systems, or scaling deep learning models, this requires businesses to invest in the right infrastructure to not get left behind. At Sharon AI, we provide customers with end-to-end solutions of AI infrastructure, whether workload optimization or GPU-powered AI systems, to accelerate business with AI capabilities. Ready to give your AI performance a boost? Explore our AI services today!

[techdriveplay]

Upgrading Your Gaming Rig with the Latest Computer Parts

In the rapidly evolving world of PC gaming, staying ahead of the curve is essential for an immersive and competitive experience. Upgrading your gaming rig with the latest computer parts not only boosts your system’s performance but also ensures that you’re getting the most out of your gaming sessions. This comprehensive guide will walk you through the key components to consider when upgrading…