I haven't seen a sane GPU price in what feels like almost a year, and the landscape isn't getting any better for gamers.

The NVIDIA RTX 5090, which arrived at a $1,999 MSRP in 2025, is now listed at Newegg starting at $4,799.99. The MSI Ventus 3X OC is indeed the lowest price I could find, and there are other options that push well beyond $5,000.

Bad luck if you're shopping for a new RTX 5090 alone. The high-end of NVIDIA's consumer GPU stack has become inaccessible for the average gamer, and there's no real alternative in sight.

Well, that's sort of true. While perusing various storefronts this morning, it quickly became evident that I can buy an entire pre-built gaming PC with an RTX 5090 inside for less than the card alone.

HP's Omen 45L desktop is my prime example. It has an NVIDIA RTX 5090 GPU, an Intel Core Ultra 7 265K CPU, 16GB of DDR5-6000 RAM, a 1TB M.2 PCIe 4.0 NVMe SSD, and everything else you need for a full build.

At the time of writing, this Omen 45L model costs $4,389.99. That's $410 less than the cheapest RTX 5090 listed on Newegg. Of course, the Omen 45L is on sale, with a regular price of $5,379.99. That's still less than the ASUS TUF Gaming RTX 5090 model, which sits at $5,429 on Newegg.

Buy a pre-built gaming PC for the card and sell the rest?

The math gets more upside down when you factor in all the extra hardware you get with a pre-built PC.

The Omen 45L's CPU adds about $300, the 16GB of Kingston Fury DDR5-6000 RAM adds about $330, and the 1TB M.2 PCIe 4.0 NVMe SSD adds roughly $200. That's about $800 worth of extra components before even considering the 1200W PSU, motherboard, cooling, and case.

I can imagine a lot of readers will see this and wonder why they don't just buy a pre-built, remove the RTX 5090, and sell the rest of the components. I'm wondering the same thing.

HP isn't the only place that I'm seeing this pricing deficit in effect. Over at iBuyPower, I put together a system with an Intel Core i5-14400F CPU, 32GB of DDR5 RAM, a 1TB M.2 PCIe 4.0 NVMe SSD, a 1000W PSU, and an NVIDIA RTX 5090 that costs $5,596.

With the right initiative to sell the extra components, you could definitely end up paying less or the same for a standalone card and still end up with some extra hardware for future upgrades.

Why are GPU prices so high in 2026?

The current state of GPU prices is due to the ongoing RAM and storage crisis that's sending NAND, DRAM, and other PC component prices into deep space.

As a result of the VRAM that goes into these cards hitting such high costs, NVIDIA jacked up the prices of GPU kits for its board partners (companies like ASUS, MSI, Gigabyte, and Zotac that build full GPUs using NVIDIA's kit) in July. Shortly after, it was reported that the hike could go as high as 30%.

We're now starting to feel those price hikes at retailers, as evidenced above. I suspect that HP's prices will also eventually be on the rise, but there are different market factors at play.

OEM builders can lock in large supplies of parts at a lower cost, so prices often don't catch up until after regular consumers begin to see them. I saw the same thing happen with Windows laptops this year. Components eventually run out, companies have to buy more, and those new costs are then passed down to consumers.

There's one caveat: when I reviewed the Omen Max 45L, I noticed that the RTX 5080 is a custom unit designed by HP. The same applies to the RTX 5090. Does that really matter? Not really. It's still NVIDIA's GPU inside, and my testing showed no difference compared to standalone cards.

Whatever happens to HP's pre-built PC pricing, there's no denying that the entire PC market is in chaos. You might not love the idea of a pre-built PC, but I definitely recommend seeing what's out there before you buy a standalone RTX GPU. You might just end up with a whole lot more than you expected for a lower price.

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Mourning the concept of affordability in the custom PC-building scene isn't a new trend; on the contrary, the eulogy for "Moore's law" was read years ago, around when hardware like NVIDIA's high-end GeForce RTX 40 Series graphics cards came with astronomical prices, and possibly even earlier than that.

If you've never heard of the term — named after Intel co-founder Gary Moore — it's a prediction (not really a law) of how computing power increases every few years by doubling transistor counts without a severe cost impact. Anyone who follows graphics card, RAM, or storage prices knows that dream is over.

On a more widely known subject, the demands of generative AI quickly became obvious as more models were widely adopted, and building them on local hardware is how that all gets started. Since then, our sister site, Tom's Hardware, has watched GeForce RTX 50-series GPU prices spike by up to 39%. Sure, MSRP always felt like a suggestion rather than a rule with GPUs, but it's getting worse.

Today's GPU for the price of yesterday's PC

As it stands, encouraging novices to build their first custom Windows rig is particularly difficult because it usually means settling for the absolute bare-bones, entry-level GPU to stand a chance of keeping your build under $1,500. No matter how many advancements NVIDIA puts into DLSS — which I maintain is still the best graphics upscaler on the scene — it can't solve everything.

Plus, all these GPU headaches come before you start the painful process of finding a storage drive and suitable RAM modules to pair with it. Once you start approaching $2,000, I generally nudge people toward high-end gaming handhelds like the MSI Claw 8 EX AI+ for something more entertaining. Then again, nothing beats the satisfaction of building your own rig from scratch.

Of course, the reality is that Moore's Law has its scientific limits. We can only go so far into microscopic process nodes before manufacturing hits the borders of what's currently possible. That doesn't excuse inflated prices, and a commercial obsession with artificial intelligence still pulls the brunt of that blame, but why isn't there any AI-free hardware for the rest of us?

Would any brand go against the grain?

Realistically, practically any functional computer can run a local AI model on its CPU, GPU, NPU, or a combination of the three on a single SoC processor. Much like the crypto-mining fad that saw graphics cards scalped for their usefulness in Bitcoin earnings, modern components are at the mercy of AI, and it's a bubble that shows no signs of bursting (whether I like it or not).

Since the advent of Intel's Arc graphics hardware, particularly the first-generation "Alchemist" A750, which powered my wife's gaming PC for years with gradually improving performance, I've become an advocate for what the brand is trying to do. It's a similar story on AMD's Radeon graphics side, as both have an opportunity to steal the entry-level market away from NVIDIA.

After all, if NVIDIA isn't under enough threat from its competition, why would there be any incentive to lower prices? Intel has made impressive advancements in its own XeSS upscaling tech, which is part of what makes Intel Arc G3-powered handhelds so appealing. If it could commit to more affordable discrete GPUs with its long-awaited "Celestial" range, it could shake up the game.

Then again, Intel's CEO, Lip-Bu Tan, seems more interested in a return to the memory business (via Tom's Hardware), which would push Intel's desktop graphics even further down the list of priorities. It's much the same story as NVIDIA's minuscule — if utterly dominant — consumer GPU business compared to its monstrous data center and artificial intelligence side.

Could gigantic desktop graphics cards even seem ridiculous a decade from now, when NVIDIA's RTX Spark chips become its main priority? Doubtful, but who knows? Either way, Moore's Law is seemingly dead, and regular consumers are eating the costs passed on from major manufacturers as the march towards AI psychosis continues. I'll keep my eyes peeled for any signs of that changing.

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