A Ryzen 9 7950X3D CPU exploded on a Gigabyte X670E AORUS MASTER motherboard when the computer suddenly shut down during use and failing to boot afterward. The user did not overclock the CPU and only ran DDR5 RAM at 6000 MHz on a very old BIOS from May 2023, before Gigabyte released firmware updates for Ryzen X3D processors. AMD denied the warranty claim and said the damage was due to human error, which adds to the growing number of similar AM5 CPU failures reported on different motherboard brands.

NVIDIA RTX 5090 graphics cards now cost 425€ more, and premium models from Gigabyte and Zotac are hit the hardest, with some top versions like the Gigabyte AORUS RTX 5090 now selling for over 6,000 euros. The price rise comes professional users who buy these cards for AI work, 3D design, video editing, and other heavy tasks because they focus more on power than the cost of the graphic cards The card is expensive to make since it has 32 GB of memory and the new Blackwell technology Meanwhile, prices for many other NVIDIA and AMD graphics cards have been falling.

An absolute legendary moment at #COMPUTEX2026#! @nvidia's CEO Jensen Huang stopped by our booth to celebrate #GIGABYTE#'s 40th anniversary milestone, marking four decades of innovation as we head into a future of infinite possibilities. ✨ #ENTERINFINITY#

Riot Games has released a new update for Valorant’s Vanguard anti-cheat system aimed at stopping advanced DMA (Direct Memory Access) cheating hardware. Vanguard anticheat now damages the firmware of these devices upon detection. It can be repaired, but bricking a person's hardware without their consent or knowledge is highly illegal The update targets certain SATA and NVMe firmware setups commonly used in expensive DMA cheating devices. These cheats rely on external hardware to read game memory while bypassing traditional anti-cheat detection methods. Some users claim Vanguard now triggers IOMMU-related warnings that can temporarily block affected hardware until system settings or firmware are updated. These DMA cheats have become popular in competitive games because they bypass many kernel-level anti-cheat systems. Riot has worked with motherboard manufacturers including ASUS, MSI, Gigabyte, and ASRock to address firmware vulnerabilities related to DMA access.

Motherboard manufacturers are facing a crisis in 2026 as PC builders delay or skip new system builds. A Digitimes report describes the situation as a collapse in the sector, worse than previous financial crises or the early COVID-19 period. Asus, the market leader, shipped 15 million motherboards in 2025 but only 5 million units in the first half of 2026. It is now targeting around 10 million for the full year, its lowest total in over a decade. MSI, Gigabyte, and ASRock are also projecting sharp declines, with some estimates showing drops of 25% to 30% or more compared to 2025 levels. The main reasons are higher prices for RAM and SSDs As a result, many builders are holding off on new rigs entirely. I expect a drop on the price so will be a good time to upgrade

OpenAI just ordered 100,000 Blackwell GPUs from NVIDIA. A Chinese developer put one of NVIDIA's $3,999 desktop AI boxes on his office desk and ran the same robot simulator the big labs train on $50,000 racks. The demo was a single empty cube floating in an empty world. Fifty frames per second. He posted the clip with one line. Is this how home robotics starts or is this an expensive toy. The clip went viral the same week NVIDIA shipped the second batch of Sparks to developers. 1.8 million views in 72 hours. Every American hardware engineer shared it as proof you could finally own the rig. Every Chinese commenter left the same Mandarin reply: pause at 1:42. Pause at 1:42. Ignore the empty cube on the screen. Ignore the FPS counter. Look at the memory readout in the top bar. 2.4 GiB used. 87.4 GiB available. The cube is sitting in three percent of the memory. The empty 84 gigabytes of memory was not headroom for a future robot scene. The empty 84 gigabytes was already running. ColdMath. $138,168 profit. Joined November 2025. Bio: Edge Compounds. He had not bought the Spark to train robots. He had bought it because robots were the only workload NVIDIA shipped a 128 gigabyte chip for. The slow memory that ruined the box for real robotics was perfect for what he was actually running. Twelve hundred ensemble weather simulations in parallel. Robot training needs fast memory because every frame is a step in a training loop. Weather ensembles need huge memory because every city is a parallel simulation that does not talk to the others. The Spark's chip is six times slower than a gaming card. It is also five times larger. The trade off only matters if you know what you are running. He knew. Wellington 16C on March 28. Tokyo 16C on March 20. Every city in the wallet was a city the ensemble had simulated three hours before the public forecast posted. Comments turned into a detective board. Someone slowed the clip to 0.25x. Someone else compared the wallet's trade timestamps to the timestamps the public forecast services updated their data. Every trade landed during the three hour gap. The Spark had been catching it. Six months ago a 14 year old in Shenzhen pushed an AI agent to GitHub. Judges said no real world application. 3,100 forks later. The developer in the office cubicle had been one of them. He had wired the agent into the Spark the same week NVIDIA shipped his box. The empty cube was not a benchmark. The empty cube was a screen saver running while the agent occupied the other 84 gigabytes. The Isaac Sim install was not the project. The Isaac Sim install was the proof he could justify buying the box on company expenses. The question about whether this was a real tool or an expensive toy was the only thing in the video designed to be answered by the audience. He was not a Chinese developer testing whether home robotics had arrived. He was the first developer to figure out that the box NVIDIA had marketed for the wrong workload was the cheapest weather simulator on the market. The clip is at 1.8 million views. The forum thread is still arguing about the six times memory penalty. The Spark on his desk is still running. The wallet is still hitting cities the public forecast services have not updated yet. The cube is still floating in three percent of the memory. The country with the better robotics demo has the smaller wallet. The dev with the wrong tool for the job has the bigger one. He just had to install a robot simulator for one afternoon.