Valve’s Steam Machine: Pricing Set (Oof!), Preorder Lottery Open Now, Shipping Soon


Valve will release its living room PC game console, called the Steam Machine, but it won’t be cheap thanks to the ongoing memory shortage referred to as RAMageddon, which already shot up the price of the Steam Deck. The company finally unveiled the pricing for the Steam Machine, and it’s not for the faint of heart. 

The Steam Machine will start at $1,049 for the 512GB version that doesn’t come with a Steam Controller, according to the listing page Valve posted on Monday. Adding a controller to the package will bring the price up to $1,128. Willing to spend even more? With 2TB storage, the cost jumps up to $1,349 without a controller. The 2TB model with a Steam Controller will set you back $1,428.

If those prices don’t scare you off, you can add your join the wait list by visiting the listing page and selecting the model your want before Thursday, June 25, at 10 a.m. PT/1 p.m. ET. After that time, the list will be randomized, and individuals will receive a time and date to purchase the unit, which starts on Monday, June 29. 

Those on the wait list who don’t get picked for the first batch of consoles will receive an invite to buy their Steam Machine whenever Valve gets a restock, similar to how the Steam Deck launch worked and the upcoming release of the Steam Controller. Valve says this way of handling the console’s launch is its way of preventing scalpers from buying up all the initial stock only to resell them later. Those who don’t put themselves on the wait list prior to the June 25 deadline will be added to the back of the wait list. 

The Steam Machine is Valve’s gaming PC, built into a roughly 6-inch cube that’s designed to connect to a living room TV. The aim is to deliver a simplified PC gaming experience for a broad audience and for game developers to optimize for a single spec as they’ve done with the Steam Deck. 

Here’s everything we know about the Steam Machine.

When does the Steam Machine come out? 

The Steam Machine will be available for purchase starting June 29, but only for those who are picked to purchase it on the launch date.

two people are playing video games on a tv while sitting on a couch

Make some space in your living room for the Steam Machine.

Valve

Can I preorder the Steam Machine?

Valve opened up its preorders for the Steam Machine on Monday, and it follows a similar process as the launch of the Steam Deck and Steam Controller. 

Those interested in the Steam Machine can visit the listing page and select which model they want to be added to the wait list. Valve will close that wait list on June 25 at 10 a.m. PT/1 p.m. ET. The list will be randomized, and those selected will be able to purchase the Steam Machine on June 29. There is a 72-hour window to purchase the Steam Machine. If the person selected doesn’t buy the console during this window, that reservation will go to the next person in the queue. 

Valve does have certain criteria to be added to the wait list: 

  • Customers must have a Steam account in good standing.
  • Customers must have made a purchase on Steam prior to April 27th 2026.
  • Limit one signup per household. Payment method, shipping address and other information will be used by Valve to eliminate multiple entries.

Anyone who was not selected to buy the Steam Machine on June 29 will be put on a wait list. When Valve restocks more units, another group from the wait list will be invited to purchase their Steam Machine. Valve didn’t provide a window of how long it will take for people on the wait list will have to wait to buy a Steam Machine. Those who wait until after the June 25 deadline will be put at the end of the wait list. 

Watch this: Valve’s Steam Controller Gets Some Major Design Changes

How much will the Steam Machine cost? 

The Steam Machine will start at $1,049 for the 512GB version without a Steam Controller. The other options are: 

  • 512GB with Steam Controller – $1,128
  • 2TB without Steam Controller – $1,349
  • 2TB with Steam Controller – $1,428

What are the Steam Machine specs? 

Valve released the final specs of the Steam Machine on Thursday with the news of the official launch of the console.

Steam Machine Specs

CPU AMD Zen 4 6C / 12T, up to 4.8 GHz, 30W TDP
Memory 16GB DDR5 plus 8GB GDDR6 VRAM
Graphics Semi-custom AMD RDNA3 28CUs, 2.45GHz max sustained clock, 110-watt TDP
Storage 512GB NVMe SSD or 1TB NVMe SSD, high-speed microSD slot
Ports USB-A 3.2 Gen 1 (x2), USB-A 2.0 (x2), USB-C 3.2 Gen 2, DisplayPort 1.4 (up to 4K @ 240Hz or 8K@60Hz, supports HDR, FreeSync and daisy-chaining), HDMI 2.0 (up to 4K @ 120Hz, supports HDR, FreeSync and CEC), Gigabit Ethernet
Wireless Networking 2×2 Wi-Fi 6E, Bluetooth 5.3
Operating system SteamOS 3
Weight 5.7 pounds (2.6 kilograms)
Size 6 inches tall (5.8 inches without feet), 6.4 inches deep, 6.1 inches wide

What else is unique to the Steam Machine? 

Valve is doing a bit more than just making a tiny gaming PC. The company is offering some features that aren’t found on the PS5, Switch 2 or Xbox Series consoles. 

To start, there are removable face plates for the Steam Machine. This is similar to the faceplates for the Xbox 360, which offer a bit of customization for the console. 

Steam Machines are upgradable. You can increase storage by adding a microSD card to the console’s microSD card slot or by replacing the solid-state drive. There is also the possibility to upgrade the RAM, but that will take a few more steps versus the storage swapping. 

The Steam Machine will also be just a computer when needed. Connect it to a monitor with a mouse and keyboard, and the console will act just like a Linux desktop. There’s also the option to install Windows in lieu of SteamOS, which would make it still play PC games, although the experience won’t be as smooth as SteamOS.

a woman is playing the game stardew valley at a desk with the steam machine in the corder of the desk

The Steam Machine is a PC, too. 

Valve

The Steam Controller for the Steam Machine will connect seamlessly to the console. And, for multiplayer games, four controllers can connect with a console very easily.

Wait, didn’t Valve already have Steam Machines?

Kind of. Back in 2013, Valve revealed a new operating system called SteamOS. It’s what powers the Steam Deck and creates the Big Picture Mode, which allows gamers to play their PC games in a mostly console-like experience instead of the typical desktop experience of using a mouse to double-click a game to start. 

Along with the operating system, Valve also released its Steam Machine platform. This allowed computer hardware makers to develop computers shaped more like a home console instead of a desktop. Alienware and Dell were some of the notable companies that developed their own Steam Machines, but none of them really caught on, partly due to many games not being compatible with the Linux-based SteamOS. 

The Steam Machines fizzled out in the mid-2010s as making games compatible with SteamOS was not a priority for game developers at the time. It wasn’t until 2018 that Valve developed Proton, a compatibility layer for SteamOS to make it easier to run most Windows games. Proton currently supports more than 20,000 Windows games

Valve also ended up offering an alternative to getting a whole new piece of hardware. In 2015, the company released Steam Link, a device that allowed PC games to be streamed directly to a TV. 





Source link

Leave a Reply

Subscribe to Our Newsletter

Get our latest articles delivered straight to your inbox. No spam, we promise.

Recent Reviews


Another day, another politically motivated attack in the United States.

This morning’s shooting at a Dallas ICE detention facility – where a sniper killed two detainees and wounded another before taking his own life prompted me to revisit a question that’s been troubling me: Is political violence actually increasing in America, or does it just feel that way?

To explore this, I’ve conducted what I’ll call a methodological experiment.

Rather than relying on traditional datasets, I’ve used ChatGPT and Claude to construct a synthetic index of political violence in the US since 1945. Let me be absolutely clear: this isn’t conventional data. It’s data generated through language models, with all the limitations that implies.

The Methodology (and Its Limitations)

Here’s what I did: I asked both ChatGPT and Claude to generate lists of politically motivated violent incidents since 1945, then had them score each incident’s severity on a scale where 50 represents a “normal” level.

The models assessed both casualties and symbolic significance, and I used them to cross-check each other’s work. I then quality-checked the output myself and categorised perpetrators by political affiliation where this was clearly established.

This approach is, admittedly, unorthodox. Language models are trained on existing texts and may reflect biases in their training data. They might overweight highly publicised events or recent incidents that featured prominently in their training corpus.

The “data” we’re looking at is essentially a structured synthesis of what these models have absorbed about American political violence.

Yet there’s something intriguing here. These models have processed vast amounts of information about political violence – news reports, academic studies, government documents. Their output might capture patterns that traditional datasets miss, though it might also amplify certain narratives or blind spots.

What the Synthetic Data Reveal

With those caveats firmly in mind, the patterns that emerge from this exercise are concerning. The model-generated index shows a clear upward trend in political violence over the past decade.

Looking at the breakdown by perpetrator ideology (where clearly established), the data suggest that right-wing extremist groups have been responsible for the majority of incidents in recent years, though we cannot draw conclusions about today’s attack whilst investigations are ongoing.

The synthetic data align with some empirical observations. Princeton’s Bridging Divides Initiative recorded over 600 incidents of threats and harassment against local officials in 2024 – a 74% increase from 2022. The University of Maryland found that in the first half of 2025, 35% of violent events targeted U.S. government personnel or facilities – more than twice the rate in 2024.

The Charlie Kirk Assassination and Recent Patterns

The September assassination of conservative activist Charlie Kirk marked a particularly dark moment.

The incident followed numerous recent acts of political violence, including the murder of Minnesota Democratic state Rep. Melissa Hortman and her husband, and two assassination attempts on President Trump in 2024.

What the synthetic data reveal is not just increased frequency but a shift in patterns. While overall levels of physical political violence remained low in 2024 compared to years prior, acts of vigilante violence grew as a proportion of all reported incidents.

We’re seeing less organised group violence and more lone-wolf attacks – a pattern that’s harder to predict and prevent.

The Epistemological Challenge

When we use language models to generate “data” about social phenomena, what exactly are we measuring? We’re essentially extracting structured information from the collective corpus of human writing about these events. It’s aggregating distributed information, but through an AI intermediary rather than traditional data collection methods.

This raises fascinating questions.

The models suggest that right-wing extremist violence has been responsible for a fairly large majority of U.S. domestic terrorism deaths since 2001. But how much of this reflects actual patterns versus the way these events are covered and discussed in the sources the models were trained on?

The synthetic data are, in a sense, a mirror of our collective discourse about political violence. They reflect not just what happened, but how we’ve talked about what happened. That’s both a limitation and, potentially, a feature – understanding the narrative landscape around political violence might be as important as counting incidents.

An Experimental Tool

I’ve built an interactive app (using the AI coding tool Lovable) based on this language model-generated violence index.

Users can explore the synthetic data, examine patterns across different time periods and perpetrator groups, and understand the methodology behind it. Think of it as an experiment in using AI to structure historical information rather than a definitive dataset.

The value isn’t in treating this as gospel truth, but in what it reveals about how these events are recorded, remembered, and synthesised in our collective digital memory.

When language models trained on our civilisation’s text output show rising political violence, it tells us something – even if that something is as much about narrative as about underlying reality.

This morning’s tragedy in Dallas reminds us that behind every data point – whether traditionally collected or AI-generated – there are real victims and real consequences. Understanding the patterns, however imperfectly, is the first step toward addressing them.

Try the tool here.





Source link