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Nvidia RTX 5090 GPUs are so expensive that Intel's Arc Pro B70 is now a genuine bargain for AI

It also happens to be one of the most expensive GPUs retail consumers can buy in 2026, going for as much as two times its stated MSRP of $2,000 for the Founders Edition at launch, leaving many cost-sensitive AI builders turning to older Nvidia GPUs equipped with 24GB of VRAM such as the RTX 4090, 3090Ti and 3090. As AI models continue to advance in complexity (and memory requirements), a DRAM crisis is making it impossible for many to secure a capable GPU for their local AI needs, even as one option seems largely ignored: Intel 's Arc Pro B70. This piece sits on 1 source layers, but the real value is showing why the story should not be skimmed past too quickly.

It also happens to be one of the most expensive GPUs retail consumers can buy in 2026, going for as much as two times its stated MSRP of $2,000 for the Founders Edition at launch, leaving many cost-sensitive AI builders turning to older Nvidia GPUs equipped with 24GB of VRAM such as the RTX 4090, 3090Ti and 3090. As AI models continue to advance in complexity (and memory requirements), a DRAM crisis is making it impossible for many to secure a capable GPU for their local AI needs, even as one option seems largely ignored: Intel 's Arc Pro B70. The signal is strong enough to deserve attention, but it still needs to be read as something developing rather than fully settled.

Emerging The topic has initial corroboration, but the newsroom is still waiting on stronger confirmation.
Reference image for: Nvidia RTX 5090 GPUs are so expensive that Intel's Arc Pro B70 is now a genuine bargain for AI
Reference image from TechRadar. TechRadar

It also happens to be one of the most expensive GPUs retail consumers can buy in 2026, going for as much as two times its stated MSRP of $2,000 for the Founders Edition at launch, leaving many cost-sensitive AI builders turning to older Nvidia GPUs equipped with 24GB of VRAM such as the RTX 4090, 3090Ti and 3090. As AI models continue to advance in complexity (and memory requirements), a DRAM crisis is making it impossible for many to secure a capable GPU for their local AI needs, even as one option seems largely ignored: Intel 's Arc Pro B70. Most consumers do not consider Intel a GPU maker, associating it instead with consumer- and enterprise-grade CPUs. TechRadar is the main source layer for now, and the rest should be read as a signal that is still widening. On the device side, the useful angle is whether a technical change actually alters feel, lifespan, or upgrade cost in real use.

What is happening now

It also happens to be one of the most expensive GPUs retail consumers can buy in 2026, going for as much as two times its stated MSRP of $2,000 for the Founders Edition at launch, leaving many cost-sensitive AI builders turning to older Nvidia GPUs equipped with 24GB of VRAM such as the RTX 4090, 3090Ti and 3090. TechRadar form the main source layer behind the core facts in this piece.

Where the sources line up

TechRadar is the main source layer for now, and the rest should be read as a signal that is still widening. As AI models continue to advance in complexity (and memory requirements), a DRAM crisis is making it impossible for many to secure a capable GPU for their local AI needs, even as one option seems largely ignored: Intel 's Arc Pro B70. TechRadar form the main source layer behind the core facts in this piece.

The details worth keeping

Most consumers do not consider Intel a GPU maker, associating it instead with consumer- and enterprise-grade CPUs. On the device side, the useful angle is whether a technical change actually alters feel, lifespan, or upgrade cost in real use. The readers who should care most are the ones planning to replace a device, buy an accessory, or upgrade a work setup in the next few months. The next step is to see whether the current signals harden into a durable change or fade as a short-lived experiment.

Why this matters most

The signal is strong enough to deserve attention, but it still needs to be read as something developing rather than fully settled. With 1 source layers on the table, the part worth reading most closely is where firm facts meet the market's early reaction. This is despite the chipmaker offering some of the best value-for-money option s in the mid-range segment it currently competes in.

What to watch next

The next readout is price, device coverage, and whether the change feels real once the hardware reaches users. Patrick Tech Media will keep checking rollout speed, user reaction, and how TechRadar update the next pieces. From 1 early signals, the piece keeps 1 references that are useful for locking the main details in place. That is why the useful reading move is not to stop at the headline, but to compare the promise, the workflow change, and the likely cost before deciding anything.

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