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Nvidia

Nvidia GeForce RTX 5080 (16GB)

Name: Nvidia GeForce RTX 5080 (16GB)
Brand: Nvidia

Data verified 15 days ago

Starting at$999

Design score

9.1/10

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Design & Build9.1

Memory16GB GDDR7

Cuda Cores10752

Memory Bus256-bit

ArchitectureBlackwell

Verdict

A solid generational step over the 4080 at $999, still capped at 16GB of VRAM.

Where it wins, where it doesn't

Pros

Solid generational gain over the 4080
Much better cost per frame than the 5090
Strong for rendering and video work

Cons

16GB VRAM — no more model headroom than a 5070 Ti at two-thirds the price
Cannot run 70B-class inference
Expensive for what it adds over the tier below

Ideal forContent creators and video editorsHigh-end gaming buildsCompute-bound creative work rather than large-model inference

Specifications

Memory	16GB GDDR7
Cuda Cores	10752
Memory Bus	256-bit
Architecture	Blackwell
Memory Bandwidth	960 GB/s
Total Graphics Power	360W

Editorial note

The 5080 is a good card carrying an awkward specification. Generationally it is a real improvement, and its cost per frame is far better than the 5090 — for rendering, video work and gaming it is the sensible high-end pick. For local AI it sits in an unhappy middle: the same 16GB as the far cheaper 5070 Ti, which means it buys you speed on models you could already run rather than access to models you could not. That distinction decides the purchase. If your workload is creative and compute-bound, this is the card. If your workload is inference and memory-bound, the extra money over a 5070 Ti buys nothing that matters, and the money you would need to actually move up is the 5090's.

In-Depth Review

The 5080 is a good card carrying an awkward specification for local AI. Generationally it is a real step over the 4080, and its cost per frame is far better than the 5090 — for rendering, video and gaming it is the sensible high-end pick.

Why it doesn't help local inference

It ships with the same 16GB of GDDR7 as the far cheaper 5070 Ti. The extra 1792 CUDA cores and 960 GB/s of bandwidth buy you speed on models you could already run, not access to models you could not. For memory-bound inference work, the money over a 5070 Ti buys nothing that matters — and the money you would need to actually move up a model class is the 5090's.

The trade-offs

Strength	Limit
Solid generational gain over the 4080	16GB — no more model headroom than a 5070 Ti
Much better cost-per-frame than the 5090	Cannot run 70B-class inference
Strong for rendering and video	360W, and expensive for what it adds over the tier below

Who should buy

Content creators, video editors and high-end gaming builds where the workload is compute-bound. If your workload is inference and memory-bound, buy the 5070 Ti and put the difference toward more system RAM or a second card later.

Frequently Asked Questions

Who is Nvidia GeForce RTX 5080 (16GB) for?↓

Nvidia GeForce RTX 5080 (16GB) is a fit for content creators and video editors, High-end gaming builds and Compute-bound creative work rather than large-model inference.

What are the drawbacks of Nvidia GeForce RTX 5080 (16GB)?↓

The trade-offs we record are: 16GB VRAM — no more model headroom than a 5070 Ti at two-thirds the price, Cannot run 70B-class inference and Expensive for what it adds over the tier below.

What does Nvidia GeForce RTX 5080 (16GB) do well?↓

Solid generational gain over the 4080, Much better cost per frame than the 5090 and Strong for rendering and video work.

How much does Nvidia GeForce RTX 5080 (16GB) cost?↓

$999, as recorded in this index. Prices move; check the retailer for the current figure.

What is the Fathom Layer design score for Nvidia GeForce RTX 5080 (16GB)?↓

Nvidia GeForce RTX 5080 (16GB) scores 9.1 out of 10. The score is assigned by a human against published criteria and placement is never sold — see the methodology page for how it is built.

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