In a ruling issued on November 14, LitNews reports that U.S. District Judge Noël Wise of the Northern District of California denied Samsung’s, Micron’s, and SK hynix’s joint motion to dismiss in full, finding that the complaint plausibly alleged an illegal agreement in violation of Section 1 of the Sherman Act. The lawsuit was filed on June 25, 2026, by 17 consumers and small businesses across five states against the trio, stating that these DRAM behemoths collectively controlled more than 91 percent of global DRAM revenue as of the third quarter of 2025.

Ousted Nvidia CEO Jensen Huang was prone to wild temper tantrums at the office, according to company insiders — cruelly dressing down employees and even once hurling a water bottle at a top executive in a fit of rage, The Post has learned.

The 63-year-old chip magnate famously cultivated an affable, laid-back public persona, sporting black leather jackets and doling out TV interviews about his humble beginnings washing dishes and cleaning toilets.

But as Huang pushed to relentlessly grow Nvidia’s business, employees lived in fear of their boss skewering them with vicious outbursts at marathon meetings in front of their peers, according to sources close to the company.

Last February, at a closed-door powwow with more than 30 company executives in attendance, Huang zeroed in on Jay Puri, Nvidia’s then-executive vice president of worldwide field operations, sources told The Post.

“I hope you get the flu and I hope it gets worse,” Huang told Puri in front of stunned onlookers — including Puri, who endured the sudden attack in silence, according to a source familiar to the incident.

“I hope you k*ll yourself and put us all out of our misery,” Huang added.

At the time, Puri oversaw Nvidia’s sales and business development operations. He has since transitioned to a role as senior adviser for Nvidia. It couldn’t immediately be learned what had been at issue during the meeting.

“It’s very typical for Jensen to yell at people, but when he said that specific thing to Jay, it was extremely tense and quiet,” one of the sources said. “Everybody was a little bit shocked.”

I have a laptop, and a PC, both of which are in near proximity to each other. Basically I'd prefer a single mouse and keyboard, instead of a wireless or two separate ones which would allow me to switch between using my PC and my laptop without much difficulty. Since USB has been around forever I wondered if anyone invented this yet, I assume someone did, but I can't make any confirmations.

Now it's super easy to install local AI. You don't need a powerful computer, 8GB of video memory will be enough. If you have 16-24GB of video memory and more than 32GB of RAM, you can get access to more advanced models that are only slightly worse than the flash models of the latest AI. This will cover 80-90% of all your AI related daily work.

What all these cloud AIs fear is precisely the scenario where most users start using local LLMs. This is their main flow of customers from subscriptions. All of their data centers are built on loans and promises that the costs will eventually be recouped.

Bought a PC from x-kom (Poland) with their Premium Assembly service. 7800X3D, air cooler, supposedly built and load tested by professionals.

Got it home: 91°C at 80 W, thermal throttling, loud cpu fans and Cinebench R23 around 15.5k. After a few hours of troubleshooting I pulled the cooler off and found the plastic protective film still on the base.

Removed it, new paste: 79°C, no throttling, quiet fans and 17.1k in R23. Turns out it works better when the copper actually touches the CPU.

Their service description mentions a load test. Guess it was the “don’t look at the temperatures” edition.

Shoutout to x-kom and their “professional” assembly service.

So your idle GPUs may be used to train Microsoft ai co-slop

Someone asked me to look at a PC with stability issues. Has anyone ever seen someone use the nvidia 12vhpr to 3x 8pin adapter plugged straight into the PSU!?

Following reports that NVIDIA discontinued/delisted the RTX 5090 and pulled the 16GB RTX 5080 from its official store, new supply-chain reports indicate NVIDIA has also canceled the rumored 24GB RTX 5080 (and delayed the RTX 50 SUPER lineup) because soaring GDDR7 memory chip costs—now $60–$70 per 3GB module vs. $20 for 2GB—killed the margins.

Sources: Tom's Hardware

I am not talking about the people who bought their new components right before the memory crisis started (you guys already tell it under every memory hike post). This is purely for people who wanted to upgrade their aged components but failed to do so because of the PC component prices.

I can’t believe it’s actually sitting here! My main rig has a 5080, but I might be even more excited about this… The 9060XT LP 16GB. The SFF diehards know what’s up.

Got big plans for this. Big, small plans.

I've been working on a way to make use of two gaming PCs to bring split-screen couch co-op to PC games that don't natively support it.

I originally built it because my partner and I wanted to play Halo: The Master Chief Collection together on the couch, rather than sitting at our separate PCs in the office.

The result is Eclipse / Umbra, a free, open-source app that combines the output of two gaming PCs into a single split-screen picture on your TV. Each game still runs on its own hardware, at its own settings, with each player controlling their own PC.

How it works

Each PC runs its own copy of the game, connecting through the game's normal online or LAN multiplayer. Eclipse / Umbra streams both pictures over your local network and combines them side by side or top and bottom.

Each PC effectively sees a monitor with the dimensions of its half of the TV. For example, on a 4K TV, that's 1920×2160 for side-by-side or 3840×1080 for top-and-bottom. The games render at those resolutions rather than having a full-size image stretched or cropped to fit.

Because the games themselves aren't being modified, there's no game-specific setup. You can even have two entirely different games displayed at once.

One of the latest features is support for using a single PC as both the client and a host. Previously, the ideal setup involved a separate client device at the TV to receive and combine the two streams. Now, if one of your gaming PCs is already connected to your TV, it can display its own game alongside the stream from the second PC.

That means you only need your existing two gaming PCs, with no separate streaming box or third computer required.

And if both PCs are in your office, you can leave them there and use a supported streaming device at the TV instead.

Setting up a session is fairly simple: select the PCs, assign each player's controller, choose the split-screen orientation and start.

A few of the other features:

• Independent controller input: each controller operates its assigned PC. Two separate keyboard and mouse setups are also supported.

• Shared mouse and keyboard: move the mouse across the split-screen boundary and it starts controlling the other PC. Particularly useful when dealing with game launchers or menus.

• No image stretching: each game runs at its allocated display resolution, so you aren't simply squeezing two full-screen images together.

• Duplicate audio removal: if both PCs are playing the same music or cutscene audio, the duplicate is filtered out to prevent an echo.

• Mixed hardware: the PCs don't need matching GPUs. NVIDIA and AMD combinations work.

But doesn't streaming introduce a lot of latency?

This is probably the biggest misconception about local game streaming. Eclipse / Umbra is built on the same technology as Moonlight and Sunshine/Apollo, which is considerably more responsive than you might expect if you're used to cloud gaming.

Over Ethernet, streaming adds roughly 20–40 ms of latency, or around one to two frames at 60 fps.

For comparison, a wireless Xbox controller connected over Bluetooth typically adds around 11–13 ms. So the additional streaming latency is roughly two to three times that of the controller connection itself.

Of course, that's additional latency, not the total. Your controller, game rendering and TV all contribute their own delays regardless of whether you're streaming.

For my setup, using an LG G5 in Game Mode, a Bluetooth Xbox controller and a game running at 60 fps, my estimated total button-to-screen latency is approximately:

• 60 ms with the gaming PC connected directly to the TV.

• 90 ms with the game streamed over Ethernet.

These are estimates based on the components of my setup rather than direct end-to-end measurements, but they help put the difference into perspective.

There's certainly a difference, and competitive players may care about an additional 30 ms. But for playing co-op games on the couch, I've found the trade-off to be well worth it.

Everything is streamed locally, without going through a cloud server. Ethernet is strongly recommended, although Wi-Fi works too, particularly at lower bitrates.

What hardware do you actually need?

• Two gaming PCs, each with its own copy of the game.

• An LG webOS TV, NVIDIA SHIELD, or Windows/Linux PC to display the combined picture.

• Ideally, a wired network connecting the devices.

And thanks to the new client/host functionality, one of the gaming PCs can also serve as the display device, so you don't necessarily need anything else connected to the TV.

How does this compare to Nucleus Co-op?

Nucleus Co-op is great, and I'd still recommend it to anyone who wants to run multiple game instances on a single PC. But it relies on game-specific support, and both players have to share the performance of one machine.

Eclipse / Umbra takes a different approach. Each player gets the performance of their own PC, and because the game just sees a normal monitor and controller, it can theoretically work with any game that already supports multiplayer.

It doesn't add multiplayer to single-player games, and there can still be issues with games that restrict display resolutions or have unusual launchers, but it removes the need to configure individual games.

The project was developed with the assistance of Claude and other AI models, building on the open-source Moonlight and Sunshine/Apollo projects.

It's completely free and open source, with the downloads, setup guide, source code and additional demonstrations available here:

https://preceptorofmagic.github.io/Eclipse-Umbra-Project-Hub/

I'd be interested to hear what games people would try with this. I've mostly used Halo MCC myself, so I'd particularly like to hear about other games and hardware combinations.

And if anyone does try it, I'd love to see pictures of your setups. It's pretty cool seeing something I originally made for my own living room working for other people.