Global Graphics Cards
NVIDIA
NVIDIA GeForce RTX 4070 Laptop GPU
8 GB • Ada Lovelace • 35-115 W
8 GBMemory
Ada LovelaceArchitecture
35-115 WPower
8 GB • Ada Lovelace • 35-115 W
Manufacturer's official processing unit and architecture information.
Ada Lovelace — Architecture · 4608 — Shading Unit
Values decisive at high resolutions and high textures.
8 GB — GDDR6 · 128 bit — Memory bus
Official values determining power supply and case selection.
35-115 W — Card Power Consumption
A usage guide built from the specs and the editors' tags; not a test result.
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.
Instead of tracking today's retail price, Kacbu keeps the product's official launch information as a reference.
The start of the initial sales period.
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 4B
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