Global Graphics Card Models
PNY
PNY GeForce RTX 5080 OC Triple Fan
NVIDIA GeForce RTX 5080 • 2730 MHz • 329 mm
NVIDIA GeForce RTX 5080Chip
2730 MHzBoost
329 mmLength
NVIDIA GeForce RTX 5080 • 2730 MHz • 329 mm
Factory-set boost frequency, difference added over reference chip.
NVIDIA GeForce RTX 5080 — Chip used
Number of fans and card length are the main determinants of case compatibility.
3 — Number of fans
A usage guide built from the specs and the editors' tags; not a test result.
For gaming; tagged from the display's refresh rate and the chip's class. We have not measured frame rates or heat ourselves.
Good fitThe Kacbu editors' assessment of the specifications the maker publishes. We do not test devices ourselves, so nothing here is a measured result. Anything taken from an independent review is shown with its publication and date in the Press section.
Instead of tracking today's retail price, Kacbu keeps the product's official launch information as a reference.
The manufacturer's official announcement date.
The start of the initial sales period.
PNY designs this card in United States; the GB203 GPU on it is fabricated by TSMC in Taiwan. Board assembly location is not published and varies by batch.
Click a linked value to see other products that share that same spec, and leave a comment on that spec.
Other products in the same category.
Whether a model runs on your machine is decided first by the graphics card's memory: the model file has to fit in VRAM with room left for the context window and the runtime. The states below are computed from memory alone; software support (CUDA, ROCm, Vulkan) is a separate matter.
Largest model that runs comfortably: Qwen3.5 9B
Rule: 1.5× the requirement in memory is Comfortable, 1.15× Runs, 0.6× Limited; the requirement is the default package size, or the maker's stated minimum where there is one (a stated minimum counts as fitting at exactly that figure). Package sizes are the Ollama library's, minimums the maker's own statement; read on 2026-09-11. Sources: ollama.com/library/qwen3.5, ollama.com/library/gpt-oss, openai.com/index/introducing-gpt-oss