RTX 5090: the graphics card of all excesses in 2026

Ada Lovelace is finished. RTX 5090 runs on the Blackwell architecture, engraved in 5 nm by TSMC. Inside, we find the GPU GB202-300-A1, a monster with:

• 21,760 CUDA cores
• 680 Tensor Cores (5th gen)
• 170 RT Cores (4th gen)

All with 92.2 billion transistors on an area of ~750 mm² To put it simply: it's the largest consumer GPU ever designed. And yes, it's much more than the 4090 (76.3 billion transistors).

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Here is a clear and complete table:

You thought that the RTX 4090 was overkill? The RTX 5090 arrives with up to 2x more performance in rasterization and up to 3x in ray tracing in certain DLSS 4 optimized games. Here are some concrete numbers:

🔥 Benchmarks (observed results)

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And in 8K DLSS 4 , some titles like Control, Doom Eternal, or Portal RTX run at over 120 fps. It's clearly a game changer.

Nvidia pushes the cursor even further with DLSS 4, which includes:

• Frame Generation improved
• Neural Rendering
• Reflex 2 for latency

The combo of the new Tensor Cores + DLSS 4 allows double the framerate without sacrificing visual quality , while keeping an ultra low input lag. If you're on a 240 Hz screen, it's butter.

The RTX 5090 Founders Edition retains a dual-slot design, which is quite crazy given the power it packs. But custom models (Asus ROG, MSI Suprim X, Gigabyte Aorus) increase in size:

• Triple slot , sometimes quadruple
• Cooling with 3 or 4 fans
• Integrated AIO Watercooling
• RGB galore

💡 Note: the ASUS ROG Strix Gold Edition model (ultra limited edition) was sold in 24 hours for... 19,990 €. Yes, yes.

With a TDP of 575W, it you you will need a minimum of a 1000 W power supply , certified 80+ Gold or Platinum. In case of OC, some models go up to >600 W. You must also:

• To have a case E-ATX or full tower
• Plan for good airflow (minimum of 3 intake fans)
• A high-end UPS or power strip (no low-cost)

Average length of the custom RTX 5090 : between 33 and 37 cm depending on the brands. Want to avoid a hassle? Check out our guide:

👉 Gaming PC case: the complete guide 2026

✅ Ideal for:

• Demanding Gamer 4K / 8K
• Streamer + player + simultaneous encoding
• 3D Creators / 8K editing / Unreal Engine 5
• AI developers / researchers / model training

❌ Not useful if:

• Are you playing in 1080p or 1440p
• You have a 60 Hz screen
• Your maximum budget is <$4,500
• You live in a studio without air conditioning 😅

Do you want to get an overview of all the stocks of the RTX5090, the good news is that with DropReference we reference all components in real time at all retailers in your country! Feel free to check it out all available stocks .

Let's be blunt: the RTX 5090 has become unreasonable. Announced at a $1,999 MSRP at launch, it now trades between $4,800 and $5,500 at retailers, and some limited runs go past $10,000. The price has doubled in a year, on a card that hasn't changed one bit.

Recorded on DropReference on 20 August 2026, across 38 listings in stock (European pricing, converted):

• Cheapest entry: around $4,800 — the observed floor
• Bulk of the market: $5,300 to $5,500, where most Gigabyte, MSI and Asus cards sit
• Premium and watercooled models: $6,000 to $6,700
• Collector runs: up to $10,100

Two reasons for this. First, the memory shortage: GDDR7 goes to AI cards first, which are far more profitable for Nvidia than gaming. Second, the total absence of competition — Nvidia hasn't released a single new gaming GPU in 2026, AMD doesn't play in this tier, so nothing pushes prices down. If you're waiting for a drop, get comfortable: the trend is upward.

On paper, it's still the most powerful graphics card you can buy, and that hasn't changed in eighteen months. Nvidia hasn't released anything above it, or even against it. Technically, it still dominates.

The problem isn't performance anymore, it's the bill. At $4,800 and up, this isn't a gaming purchase, it's an investment. If you play games, even in 4K, the RTX 5080 gets you most of the way for a third of the price. The 5090 makes sense mainly if you work with it: 3D rendering, 8K editing, AI model training. There, it pays for itself.

And if you're not in a hurry, waiting is probably the best advice we can give you this year. The next generation will land eventually, and current pricing can't hold forever.