2 Sources
[1]
How Much?! Nvidia RTX Pro 6000 Will Now Set You Back $16,000
Hey kid, you want to buy a professional graphics card? It's $16,000. That's Nvidia's pitch for anyone who wants a top-tier Nvidia prosumer GPU in 2026. Its flagship RTX Pro 6000 -- the full-fat version of the RTX 5090 built for AI and design work -- is now priced at a staggering $16,000. That's almost double the $8,565 launch price from March 2025, VideoCardz reports. Prices of Nvidia's consumer graphics cards have skyrocketed in recent months, and they weren't cheap when they launched, either. The RTX 50-series debuted in 2025 with a flagship that was an at-the-time record-breaking $2,000, while more modest cards like the RTX 5070 were still $550. But now, just over a year and a half later, the RTX 5090 is closing in on $5,000, and the RTX 5070 has just reached an average price of $900 on Newegg. But perhaps we can take comfort in the fact that Nvidia's professional GPU pricing is equally ridiculous. Its flagship workstation GPU, the RTX Pro 6000, is now $16,000. That's a near doubling from last year and a 21% increase since June, when the price was a mere $13,250. There hasn't been any kind of announcement of these price hikes; Nvidia just sells the card at that price now. It has the same GPU, the same cooler, and the same memory configuration, but a massively inflated price tag. The price increase must come at least partially from the equally crazy RAM prices in 2026. The RTX Pro 6000 comes with 96GB of high-speed GDDR7, which will make up a sizeable portion of the bill of materials. The GB202 GPU, at its heart (and the same one used in the RTX 5090), is also complete with the full complement of 24,064 CUDA cores, so it will be especially binned for this purpose. But even then, it's hard to imagine the card costing anywhere near what it's being sold for. TechPowerUp estimates that the 3GB GDDR7 chips Nvidia uses for these cards cost around $60-$70 each. So even if those doubled in cost since June (which they haven't), that would still be only an extra $2,240, not the near-$3,000 Nvidia is charging. Still, it helps to be the only real game in town for high-end GPUs with CUDA support. Although AMD's options are credible and have their own uses for AI developers and 3D designers, Nvidia's CUDA platform is a hell of a moat that it takes full advantage of. Professional GPU users who want the top cards will simply have to pay the price or make other arrangements.
[2]
NVIDIA's RTX PRO 6000 Blackwell GPU price almost doubles, reaching $16,000
The NVIDIA RTX PRO 6000 Blackwell Workstation Edition graphics card launched last year, and it's basically a souped-up dual-slot GeForce RTX 5090 Founders Edition built for AI. In addition to an expanded CUDA Core count of 24,064 compared to the RTX 5090's 21,760, the RTX PRO 6000 Blackwell also features 96GB of GDDR7 memory, with a similar 512-bit interface as the RTX 5090 offering up a massive 1,792 GB/s of bandwidth. Even when it launched last year, the AI boom and memory crisis were still a thing, albeit not quite as insane as it is right now. An RTX 5090-class workstation GPU with 96GB of fast GDDR7 memory meant it sold for $8,565 at launch, making it NVIDIA's most expensive desktop-class graphics card for workstations. Cut to 2026, and that's still the case, except that it's now almost double the price. On NVIDIA's own marketplace and storefront, the RTX PRO 6000 Blackwell is now priced at $16,000 USD (via Videocardz), an 87% increase over the launch MSRP and a 20% increase over the $13,250 price point in June. The main reason for the price increase, which we safely assume, is the sharp increase in component costs, specifically for memory. For the RTX PRO 6000 Blackwell GPU, which features 32 x 3GB GDDR7 modules, the memory price increases we've seen in recent months are multiplied by 32. Also, as we've heard from multiple sources, 3GB GDDR7 memory modules have recently become substantially more expensive than 2GB modules; this would also factor into the price. Although a workstation product, rumors have suggested that NVIDIA was planning to use 3GB modules for its GeForce RTX 50 SUPER Series - plans which are now on hold. The current RTX Blackwell-powered GeForce RTX 50 Series GPUs all feature 2GB GDDR7 memory modules. Of course, there is some irony in the NVIDIA RTX PRO 6000 Blackwell's massive price increase. With demand for AI hardware driving memory capacity to the brink and prices increasing exponentially, NVIDIA's success and AI hardware leadership are key reasons prices are becoming untenable. So much so that NVIDIA is now nearly doubling the price of its flagship GPU hardware.
Share
Copy Link
Nvidia's flagship RTX Pro 6000 workstation GPU has surged to $16,000, nearly double its March 2025 launch price of $8,565. The AI-focused Blackwell GPU features 96GB of GDDR7 memory and 24,064 CUDA cores, but soaring component costs and memory shortages are driving unprecedented price increases across professional graphics cards.
The Nvidia RTX Pro 6000 now carries a staggering $16,000 price tag on Nvidia's official marketplace, representing an 87% increase from its March 2025 launch price of $8,565
1
2
. This dramatic GPU price escalation affects Nvidia's flagship professional GPU designed specifically for AI workloads and demanding design applications. The price hike marks a 21% jump since June 2026 alone, when the card sold for $13,2501
. Nvidia has implemented these increases without any formal announcement, simply adjusting the retail price while maintaining identical hardware specifications.
Source: PC Magazine
NVIDIA's RTX PRO 6000 Blackwell GPU represents a souped-up version of the consumer RTX 5090, engineered for professional applications
2
. The dual-slot workstation card features 24,064 CUDA cores compared to the RTX 5090's 21,760, delivering enhanced computational power for AI developers and 3D designers2
. At its core sits the full GB202 GPU, the same chip powering consumer cards but with complete core activation1
. The card's most distinctive feature is its massive 96GB of GDDR7 memory configuration, utilizing 32 individual 3GB modules across a 512-bit interface that delivers 1,792 GB/s of bandwidth2
. This memory capacity positions the Blackwell GPU as essential hardware for large-scale AI model training and complex rendering tasks.
Source: TweakTown
Inflated RAM costs represent the primary driver behind the RTX Pro 6000's price explosion, though the math reveals a significant markup beyond raw component costs
1
. TechPowerUp estimates individual 3GB GDDR7 memory chips cost approximately $60-$70 each1
. Even accounting for doubled memory prices since June, the additional cost would reach only $2,240, falling short of the nearly $3,000 price increase Nvidia implemented1
. The 3GB GDDR7 modules have become substantially more expensive than 2GB variants, compounding costs for the 32-module configuration2
. AI hardware demand has pushed memory capacity to critical limits, creating supply constraints that ripple through the entire GPU market. Rumors suggest Nvidia planned to use 3GB modules for its GeForce RTX 50 SUPER Series but has placed those plans on hold due to pricing pressures2
.Related Stories
The professional GPU pricing crisis mirrors broader market trends affecting consumer graphics cards. Nvidia's RTX 50-series launched in 2025 with the RTX 5090 at a then-record $2,000, while the RTX 5070 debuted at $550
1
. Just eighteen months later, the RTX 5090 approaches $5,000, and the RTX 5070 averages $900 on Newegg1
. These increases demonstrate how AI hardware demand affects the entire GPU ecosystem, from entry-level consumer cards to flagship workstation products.Nvidia maintains near-monopolistic control over high-end professional GPU markets, particularly for AI workloads requiring CUDA support
1
. While AMD offers credible alternatives for certain AI developers and 3D design applications, Nvidia's CUDA platform creates a formidable competitive moat1
. This market dominance allows Nvidia to implement aggressive pricing without significant customer defection. Professional users requiring top-tier hardware with full CUDA core counts face limited alternatives, forcing them to either absorb the increased costs or fundamentally restructure their workflows. The irony of Nvidia's position is evident: the company's success in driving AI adoption has created the very supply constraints and demand pressures now forcing it to nearly double prices on its flagship hardware2
. As AI model complexity continues growing and memory requirements expand, the pressure on GPU pricing shows no signs of abating.Summarized by
Navi
[1]
13 Jun 2026•Business and Economy

05 May 2025•Technology

19 Mar 2025•Technology

1
Science and Research

2
Technology

3
Technology
