Global Graphics Cards
NVIDIA
NVIDIA GeForce RTX 5080
16 GB • Blackwell • 2617 MHz • 360 W
16 GBMemory
BlackwellArchitecture
2617 MHzBoost
360 WPower
16 GB • Blackwell • 2617 MHz • 360 W
A summary of NVIDIA's official product description.
Announced at CES on January 6, 2025 and released later that month, the GeForce RTX 5080 pairs the Blackwell GB203 chip with 16GB of GDDR7 on a 256-bit bus, and is marketed primarily around DLSS 4's multi frame generation and neural rendering.
Manufacturer's official processing unit and architecture information.
Blackwell — Architecture · 10752 — Shading Unit · 84 RT — Ray Tracing Core · 336 Tensor — AI core
Values decisive at high resolutions and high textures.
16 GB — GDDR7 · 256 bit — Memory bus · 960 GB/s — Memory bandwidth
Official values determining power supply and case selection.
360 W — Card Power Consumption · 850 W — Recommended Power Supply · 16-pin (12V-2x6) — Power Connector
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 fitFor heavy work use; tagged from the battery and display specs. We have not timed the battery 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.
NVIDIA is headquartered in the US and designs the GPU there; it does not fabricate it itself — the GB203 die is made at TSMC's fabs in Taiwan. Card assembly varies by board partner.
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.
Models built on the same part. The difference is not the part — it is the device around it.
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