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NVIDIA

NVIDIA GeForce RTX 4080 Laptop GPU

12 GB • Ada Lovelace • 60-150 W

12 GBMemory
Ada LovelaceArchitecture
60-150 WPower
KACBU

Should I buy it?

NVIDIA GeForce RTX 4080 Laptop GPU
WAIT
  • 44 months on the market — a successor may be near
Great choice if these matter:
  • Gaming at QHD and above
  • Heavy rendering and video editing
  • Desktop Replacement
Watch out for:
  • A 60 W floor limits its use in slim bodies
  • Between 60 W and 150 W there is a marked performance gap under one name
44 months on the market
Regret riskMODERATElimited data
Main risks
  • A successor may be near — 44 months since release
  • A 60 W floor limits its use in slim bodies
  • Between 60 W and 150 W there is a marked performance gap under one name
The risk level is computed from the release date and verified weaknesses. The confidence score appears only once enough owner reports exist.
This box relies only on verified specs, the release date and editorial assessment; owner reports join them as they come in. We do not predict prices.
GPUMemoryPowerLaunchSpecificationsAlternatives
Graphics Processor

What's inside the card's core?

Manufacturer's official processing unit and architecture information.

GRAPHICS PROCESSOR

The actual hardware that determines frame rate.

7424 Processing Unit

Ada Lovelace — Architecture · 7424 — Shading Unit

Ada Lovelace7424
Ada LovelaceArchitecture
7424Shading Unit
Memory

How much and what speed memory?

Values decisive at high resolutions and high textures.

MEMORY

This determines the limit in 4K and high texture settings.

12 GB Memory

12 GB — GDDR6 · 192 bit — Memory bus

12 GB192 bit
12 GBGDDR6
192 bitMemory bus
Power and Cooling

How much power does it draw?

Official values determining power supply and case selection.

POWER AND COOLING

These values determine the power supply budget.

60-150 W

60-150 W — Card Power Consumption

60-150 W
60-150 WCard Power Consumption
Who Is It For?

Where does it stand out?

A usage guide built from the specs and the editors' tags; not a test result.

Gaming

Gaming at QHD and above

Good fit
Content Creation

Heavy rendering and video editing

Good fit
Desktop Replacement

For use in place of a desktop; performance and connectivity come before portability.

Good fit
Editorial Analysis

Strengths and points to consider

The 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.

Strengths based on the specs
7424 shading units
12 GB of GDDR6 memory on a 192-bit bus
A 60-150 W envelope allows high, sustained performance
Things to consider
A 60 W floor limits its use in slim bodies
Between 60 W and 150 W there is a marked performance gap under one name
Historical Product Info

Official launch details

Instead of tracking today's retail price, Kacbu keeps the product's official launch information as a reference.

ReleaseFebruary 8, 2023

The start of the initial sales period.

This is not the current retail price — it shows the product's historical, official launch information.
Specifications

NVIDIA GeForce RTX 4080 Laptop GPU specifications

Click a linked value to see other products that share that same spec, and leave a comment on that spec.

General

Family
GeForce RTX 40 Laptop
Release Year
2023
Manufacturer

Graphics Processor

Boost Clock
1350-2280 MHz
Architecture
Shading Units

Memory

Memory Bus
Memory Size
Memory Type

Power

Board Power
TGP Note
Varies by laptop manufacturer's configuration
Shared Hardware

Products that share this hardware

This product's standout specs. You can jump to other models that use the same value.

Alternatives

Other models in the same category

Other products in the same category.

Products using this part

3 models with the NVIDIA GeForce RTX 4080 Laptop GPU

Models built on the same part. The difference is not the part — it is the device around it.

See them all on the Graphics page
Local AI

Which models run on this card?

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.

VRAM: 12 GB

Largest model that runs comfortably: Qwen3.5 9B

  • Qwen3.5 0.8B1 GB packageComfortable
  • Qwen3.5 2B2.7 GB packageComfortable
  • Qwen3.5 4B3.4 GB packageComfortable
  • Qwen3.5 9B6.6 GB packageComfortable
  • gpt-oss-20b14 GB package · the maker states a 16 GB memory minimumLimited
  • Qwen3.5 27B17 GB packageLimited
  • Qwen3.5 35B24 GB packageNot suitable
  • gpt-oss-120b65 GB package · the maker states a 80 GB memory minimumNot suitable
  • Qwen3.5 122B81 GB packageNot suitable
  • ComfortableRoom for the model file and a long context
  • RunsFits; the context window may need to stay short
  • LimitedNot enough memory; part of the model spills to system RAM and runs slowly
  • Not suitableNot a GPU-run model on this card

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

All cards and models