How to Force Windows to Use Dedicated GPU for Any App or Game (Instant Fix) youtu.be/DgITEtahMmo #WindowsTips #GPUPerformance #PCGaming #TechTutorial #FixLag

🪟 UE5 Gothic 1 remake running GPUs like they owe it rent. “Be nice to your VRAM” is the real takeaway—this is basically a stress test disguised as nostalgia. #Windows #Microsoft #UE5 #Gaming windowsforum.com/threads/got… #UnrealEngine5 #PcSystemRequirements #GpuPerformance

your GPU is probably running capped right now and you've never known about it there's a setting called Resizable BAR (NVIDIA) / Smart Access Memory (AMD) that lets your CPU access your full GPU memory at once instead of in tiny 256MB chunks — and most people have never turned it on free FPS. no downloads. takes 5 minutes. here's the full guide: CHECK IF IT'S ALREADY ON 🟢 NVIDIA — right-click desktop → NVIDIA Control Panel → System Information (bottom left) → look for "Resizable BAR" → if it says Yes you're good 🔴 AMD — open Radeon Software → Home dashboard → bottom left → "Smart Access Memory" → if it says Enabled you're good if it's off or missing, keep reading HOW TO TURN IT ON — BIOS restart your PC → press DEL or F2 as it boots to enter BIOS → find "Above 4G Decoding" → enable this FIRST → find "Resizable BAR" (NVIDIA) or "Smart Access Memory" (AMD) → enable → make sure CSM / Legacy Mode is OFF → Save & Exit → reboot if Windows won't boot after doing this, your drive is formatted as MBR instead of GPT — search "convert MBR to GPT Windows" it's fixable in 10 mins with no data loss VERIFY IT ACTUALLY WORKED 🟢 NVIDIA — back in Windows, NVIDIA Control Panel → System Information → Resizable BAR = Yes ✅ 🔴 AMD — Radeon Software → Home → Smart Access Memory = Enabled ✅ still showing disabled after BIOS changes? update your motherboard BIOS firmware GPU drivers to latest. that fixes it 95% of the time. DOES YOUR GAME BENEFIT? real breakdown: ✅ Fortnite — yes, open world asset streaming hits different with this on ✅ Warzone — yes, massive maps mean constant VRAM transfers, this smooths it out ✅ Apex Legends — yes, meaningful FPS gains reported across multiple setups ✅ Black Ops 6 — yes, CPU-heavy engine responds well ✅ Battlefield series — one of the strongest use cases, big maps destruction engine = big gains ✅ Valorant — marginal but no reason to leave it off ⚠️ Rainbow Six Siege — test it yourself, some benchmarks show a slight performance drop on this specific title. turn it off if your frames get worse. WHO THIS IS FOR ✅ RTX 30 or 40 series GPU ✅ RX 6000 or 7000 series GPU ✅ Intel 10th gen or Ryzen 3000 CPU ✅ Motherboard with a BIOS update from 2021 or newer ❌ GTX 10 or 16 series — not supported ❌ RX 500 series or older — not supported ❌ Laptop users — check your laptop manufacturer's support page, it depends on your specific model ❌ nothing breaks from checking — if your hardware doesn't support it, the option simply won't appear this is the one setting that's been sitting in your BIOS doing nothing while you spent money on thermal paste and RGB fans costs $0. takes 5 minutes. works tonight. RT if your friends are still playing on a capped GPU 🔁 #PCGaming #FPSBoost #ResizableBAR #SmartAccessMemory #Fortnite #Warzone #ApexLegends #BlackOps6 #Battlefield #NvidiaRTX #AMDRadeon #GamingPC #PCOptimization #BIOS #ReBAR #GameReady #GPUPerformance #FPS #RadiantOpti

This is the "crowd computing power" that exploded within 96 hours. ⚡️📈 From zero to over 40 countries worldwide, PlexAi's purple footprint has expanded far beyond our imagination. Last night, we completed a small-scale "instant wake-up" stress test. The results were astonishing: the response speed of the distributed network in handling non-linear AI tasks is approaching that of centralized data centers. This isn't simulated data from a lab; this is a real miracle woven by the GPUs under your desks. The world is turning purple. Revolution is no longer hypothetical. 🔔 48 hours remain until the first Genesis Node application channel opens. Are you ready to connect? #PlexAi #DeAI #ComputeRevolution #Web3 #RealTimeData #GPUPerformance

Think you need PCIe 5.0 for max gaming performance? New article live breaking down PCIe 3.0 vs 4.0 vs 5.0, GPU bandwidth, and whether PCIe slot generation really affects FPS in games. Read here: hdopti.com/articles/does-pci… #PCIe #GPUPerformance #RTX5090 #GamingPC #FPS #PCOptimization

NVIDIA 595.71 Driver youtu.be/_hHqVtHu7Io #NVIDIA #RTX50Series #DriverUpdate #GPUPerformance #GamingNews2026 #ResidentEvilRequiem #MarathonGame #TechSupport #BlackwellGPU #HardwareIssues #PCGaming #NVIDIADriver #TechReview #Overclocking #PCBuild

Cloud providers hate this one: Local Hardware. 📉🚀 1 AM update: My RTX 5070 just spent 2 hours crunching through public AI research datasets. The efficiency of local compute is absolutely INSANE: THE CARNAGE:• 4MB of architecture data processed • 1,746 lines of pure logic insights extracted • 37 different systems cross-analyzed • 95% GPU utilization for hours • $0 spent (Local models go BRRR) RTX 5070: "Hold my beer while I reverse-engineer some patterns." Sometimes you just gotta feed your GPU some homework and see what happens. Who needs a cloud subscription when you have the iron at home? ☕️💻 #LocalAI #RTX5070 #GPUPerformance

DLSS 4.5 & The RTX 2070 GPU!? youtu.be/jBKCnfrPU_4 #RTX2070Super #DLSS45 #NVIDIA #DLSS40 #GhostingFix #GamingBenchmarks #RTX20Series #Cyberpunk2077 #ForzaHorizon5 #AIUpscaling #VRAM #TechNews2026 #PCGaming #GPUPerformance #TensorCores

Got tired of manually reading through 200 MB trace files so we've now hooked them up to an AI agent and you can just chat with it. #vibetracing Checkout our docs - docs.ncompass.tech/ai-assist… 0:00 - Intro to the AI agent 1:00 - Example prompt with 2 questions 2:08 - Answer to question 1 - what should I care about in this trace 4:18 - Answer to question 2 - how do kernels map to operations from LLMs Link to both the trace and responses in the comments! #MLSys #GPUPerformance #PerfettoTraces #NsysReps

🧠✨ Optimize your AI like a pro! Join Fixstars’ free online seminar to explore real-world performance engineering with AIBooster 🚀 💡 Boost AI Efficiency with Practical Strategies to Cut Infrastructure Costs 📅 Aug 14 | 12 PM PDT 📍 Zoom 🔗 Sign up: fixstars.com/en/news/870?utm… #AIBooster #AIOptimization #Fixstars #GPUPerformance

Fresh Update: Meta’s LLaMA 4 Running Smoothly on 4×H100s with FriendliAI Meta’s latest, LLaMA 4 Maverick, is now live and flying—fully deployed on just 4×H100 GPUs using FriendliAI’s optimized infrastructure. No setup headaches. No scaling delays. Just fast, efficient, expert-trusted inference. Better yet? You can try it instantly via Hugging Face, powered by FriendliAI—whether you’re benchmarking, prototyping, or running real workloads. 💡 Built for teams that want speed without compromise. 🧠 Trusted by experts. ⚙️ Production-ready from day one. 🔗 Try it on Hugging Face: huggingface.co/meta-llama/Ll… #LLaMA4 #Meta #FriendliAI #HuggingFace #LLM #AIEngineering #GPUPerformance #InferenceAtScale

⚠️The Shocking Glitch Haunting Nvidia’s RTX 50-Series Cards Nvidia’s RTX 50-series graphics cards promised to revolutionize gaming with cutting-edge Blackwell architecture, featuring real-time ray tracing, DLSS 4.0, and unmatched AI-enhanced performance. Launched in early 2025, these cards, ranging from the flagship RTX 5090 to the more accessible RTX 5070 Ti, were poised to dominate the high-end GPU market. However, just weeks after their debut, a troubling glitch has cast a shadow over this highly anticipated release, leaving gamers frustrated and Nvidia scrambling to respond. The issue centers on a manufacturing defect affecting a small but significant number of RTX 5090, 5080, and 5070 Ti cards. Reports emerged of cards shipping with fewer render output pipelines (ROPs) than advertised, 176 down to 168 for the RTX 5090, for instance, resulting in a performance drop of 4% to 8%, depending on the model and workload. While Nvidia claims this "rare issue" impacts less than 0.5% of units and has been corrected in newer shipments, the discovery has sparked outrage among early adopters who shelled out premium prices, often exceeding $1,500 for the RTX 5090, only to receive underpowered hardware. Compounding the problem are reports of driver instability, with users encountering black screens, crashes, and even blue screens of death (BSODs), particularly after installing the latest 572.16 driver. Some attribute these issues to compatibility hiccups with PCIe 5.0 or multi-monitor setups, while others point to deeper firmware flaws. Nvidia has acknowledged the instability and is investigating, but no definitive fix has been rolled out as of February 27, 2025. Meanwhile, a few unlucky owners have reported melted power connectors, despite the switch to the supposedly safer 12V-2x6 design, raising concerns about quality control. The fallout has been swift. With stock already scarce and scalpers driving prices sky-high, affected users face a tough choice: endure the performance hit or navigate a potentially lengthy replacement process. Tools like GPU-Z can identify the ROP defect, but for many, the damage is done, both to their rigs and their trust in Nvidia. Once hailed as the gold standard in gaming hardware, the company now faces a critical test of its reputation. As the RTX 50-series launch stumbles, gamers are left wondering... is the bleeding edge of technology worth the risk? For now, this shocking glitch has turned Nvidia’s triumph into a cautionary tale. #NvidiaRTX50 #RTX5090 #RTXGlitch #BlackwellGPU #GPUDefect #RTXCrash #NvidiaFail #GamingHardware #TechNews #RayTracingIssues #DLSS4 #PCGaming #NvidiaDriverProblems #TechSupport #GPUPerformance #gaming #news #NewsUpdate #headlines

Revolutionizing GPU Performance: The 800-Fold Leap with a New Chinese Algorithm A groundbreaking development from researchers at Shenzhen MSU-BIT University has catapulted the performance of Nvidia GPUs by an astounding 800-fold increase in scientific computing scenarios. Here's a comprehensive look at this technological leap: How They Did It: The algorithm in question focuses on enhancing the computational efficiency of peridynamics (PD), a non-local theory used for modeling complex physical phenomena like cracks, damage, and fractures in materials. The traditional computational complexity of PD simulations has been a bottleneck due to high memory usage and slow processing speeds. The researchers have cleverly optimized this by: - Parallel Processing: By leveraging the parallel computing capabilities of GPUs, the algorithm distributes computational tasks across numerous GPU cores, reducing the time taken for each calculation significantly. - Memory Optimization: The new method reduces memory requirements by employing more efficient data structures and algorithms that minimize redundancy and optimize data access patterns, allowing for larger scale simulations without proportional increases in memory usage. How It Works: The algorithm works by: - Breaking Down Complex Problems: It subdivides large-scale peridynamic simulations into manageable, parallel tasks. Each task is processed concurrently on different GPU cores, utilizing the inherent parallelism of GPUs which are designed for handling thousands of threads simultaneously. - Adaptive Meshing: Instead of using a static grid for calculations, this approach dynamically adjusts the computational mesh to focus computational power where it's most needed, thus enhancing the efficiency of each computation step. - Data Compression Techniques: By compressing data on the fly, the algorithm ensures that the GPU's high-bandwidth memory (HBM) is used more effectively, allowing for faster data transfer between the GPU's processing units and memory. What It Means: - Enhanced Problem-Solving: This breakthrough means that complex mechanical problems in industries such as aerospace, military applications, and bridge design can now be simulated with unprecedented speed and accuracy on consumer-grade GPUs. - Cost-Effective Solutions: By achieving such performance gains with existing hardware, there's potential for significant cost savings in computational resources. Organizations can now tackle larger and more complex simulations without needing to invest in exponentially more powerful and expensive hardware. - Broader Access to Advanced Simulations: With this algorithm, even those with budget constraints can perform high-level simulations, democratizing access to advanced computational tools. Significance: - Technological Advancement: It signifies a massive leap in how we utilize GPU technology for scientific computing, potentially reshaping the landscape of computational simulations. - Global Innovation: This is an example of how international collaboration (between Chinese and Russian institutions in this case) can lead to significant technological breakthroughs, pushing the boundaries of what's possible with current hardware. - Strategic Importance: For Nvidia, this could mean renewed interest in their GPUs for scientific and industrial applications, potentially offsetting some of the challenges posed by U.S. export controls on advanced chips to China. In summary, this new algorithm not only showcases the untapped potential of Nvidia GPUs but also sets a new benchmark for what can be achieved in scientific computing with algorithmic innovation. This could herald a new era where computational power is less about hardware alone and more about the ingenuity of the software driving it. #GPUPerformance #Nvidia #AlgorithmInnovation #ComputationalScience #Peridynamics #HighPerformanceComputing #TechBreakthrough #AIResearch #ScientificComputing #BigDataSimulation

🚀 GPU Monitoring with NVIDIA-SMI on Glows.ai Effortlessly monitor and optimize your GPU usage for AI projects using NVIDIA-SMI! 🔍 Here’s what you’ll learn in our latest Medium article: 1️⃣What is NVIDIA-SMI? Understand its role in providing real-time GPU insights for peak performance. 2️⃣Why It’s a Game-Changer From memory utilization to thermal stats, NVIDIA-SMI empowers developers to fine-tune their machine learning workflows. 3️⃣Get Started on Glows.ai Spin up your AI environment in just minutes and integrate NVIDIA-SMI for seamless monitoring and rapid scaling. 💡 Whether you’re training sophisticated AI models or dabbling in deep learning, mastering GPU performance is key. Dive into our guide and take your workflows to the next level! 🔗 Read more: medium.com/@glowsai/nvidia-s… #NVIDIASMI #AIWorkflows #GPUPerformance #GlowsAI #TechInnovation

⚡ Power Up Your Mining Game with Neuton Pro! ⚡ 🚀 Rev up your mining rig with Neuton Pro’s cutting-edge GPU solutions! Designed to deliver lightning-fast performance, Neuton Pro helps you mine smarter, faster, and more efficiently. Say goodbye to limitations—supercharge your setup and watch your rewards soar! 📈💸 🔥 Don’t miss out on the future of mining. Visit neuton.pro and unleash the full power of Neuton today! 🔥 #MiningRevolution #NeutonPro #GPUPerformance #CryptoPower

insightsfromanalytics.com/po… @ArcCompute @ITPressTour #ArcCompute #GPUPerformance #HPC #AI #Optimization #Efficiency #CostSavings #Sustainability #Slurm #LAMMPS #ITPT

dzone.com/articles/unleashin… @ArcCompute @ITPressTour #ArcCompute #GPUPerformance #HPC #AI #Optimization #Efficiency #CostSavings #Sustainability #Slurm #LAMMPS

フラットゲームではミドルだと思いますが、VRCだとGPUPerformance的にVRAMが多い入門カードのロークラスだと捉えてます。 枠が4つしか取れないのもありますが…

MulticoreWare Inc and Imagination Technologies collaboration accelerates automotive compute workloads Read the press release: multicorewareinc.com/news/mu… #MulticoreWare #ImaginationTechnologies #automotivecomputing #GPUperformance #ADAS #Compute

The #NVIDIA A100 is available on demand now on #Hyperstack, get yours today by signing up at bit.ly/3rpMnRo Offering powerful acceleration for AI, data analytics, and HPC, the A100 boasts up to 20X higher performance than the previous generation. For deep learning training, the A100 provides up to 3X higher performance on massive models and, for deep learning inference, up to 249X higher performance than CPUs. Together, let’s embark on an AI journey that propels your enterprise towards unparalleled innovation! Trust in Hyperstack's unique pricing transparency and data sovereignty and start supercharging your workloads today. #GPUisWhatWeDo #A100 #GPU #CloudComputing #GPUCloud #Cloud #GPUPerformance #GPUPower #AI #ArtificialIntelligence #Innovation #DataAnalytics #HPC #DeepLearning