UNIT · NVIDIA · GPU
12 GB VRAMhighReviewed June 2026

NVIDIA GeForce RTX 5070 Laptop GPU

No editorial image yet — generic vendor mark shown. Credentials in spec table below.

The volume mainstream RTX 50-series gaming-laptop GPU. Originally 8GB, a 12GB variant launched April 2026 to relieve VRAM pressure. GB206, 4,608 CUDA cores, 128-bit. The everyday laptop AI part below the 5090 Mobile.

Released 2025·384 GB/s memory bandwidth
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NVIDIA GeForce RTX 5070 Laptop GPU

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RUNLOCALAI SCORE
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337/ 1000
CC-tier
Estimated
Throughput
134/ 500
VRAM-fit
110/ 200
Ecosystem
200/ 200
Efficiency
37/ 100

Sub-scores sum to 481 / 1000. Headline = 481 × 0.70 (Estimated-confidence discount) = 337. This is an algorithmic performance-tier score — distinct from, and often lower than, the editorial “Our verdict” below, which weighs value and real-world fit (especially for hardware we haven’t measured yet). How scoring works →

Extrapolated from 384 GB/s bandwidth — 46.1 tok/s estimated. No measured benchmarks yet.

Plain-English: Comfortable at 14B and below — snappy enough for a coding agent; vision models supported.

7B chat
Comfortable
14B chat
Comfortable
32B chat
Doesn't fit
70B chat
Doesn't fit
Coding agent
Comfortable
Vision (≤8B VLM)
Comfortable
Long context (32K)~
Tight
Comfortable — fits with headroom
~Tight — works, no slack
Marginal — needs aggressive quant
Doesn't fit usefully

Verdicts extrapolated from catalog VRAM + bandwidth + ecosystem flags. Hover any chip for the rationale. Want measured numbers? Submit your own run with runlocalai-bench --submit.

BLK · VERDICT

Our verdict

OP · Eruo Fredoline|VERIFIED JUN 18, 2026
7.1/10

What it does well

The RTX 5070 Laptop GPU is the mainstream mobile-AI part most gaming/creator laptops actually ship with. The newer 12GB variant (up from the launch 8GB) is the one to seek for local AI — that extra 4GB is the difference between being stuck at 7-8B and comfortably running 13-14B models at Q4 on the go, with full CUDA support for Ollama, llama.cpp, and ComfyUI. At ~100W mobile it's a reasonable balance of capability and battery.

Where it struggles

The 8GB original variant is VRAM-starved and best avoided for local AI — and because both ship under the same '5070 Laptop' name, you must check the specific config. 384 GB/s bandwidth and mobile power limits keep it well behind the 5090 Mobile (24GB) for larger models, and like all gaming laptops, sustained inference means heat, fan noise, and throttling versus a desktop.

Bottom line

A solid mainstream laptop AI GPU if you get the 12GB version — capable of 13-14B local models with CUDA. Avoid the 8GB variant for serious local AI; step up to the 5090 Mobile if you need 24GB on a laptop.

BLK · OVERVIEW

Overview

The volume mainstream RTX 50-series gaming-laptop GPU. Originally 8GB, a 12GB variant launched April 2026 to relieve VRAM pressure. GB206, 4,608 CUDA cores, 128-bit. The everyday laptop AI part below the 5090 Mobile.

Retailers we'd check:Amazon

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BLK · SPECS

Specs

VRAM12 GB
Power draw (peak)100 W
Released2025
Backends
CUDA
Vulkan

Models that fit

Open-weight models small enough to run on NVIDIA GeForce RTX 5070 Laptop GPU with usable context.

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Frequently asked

What models can NVIDIA GeForce RTX 5070 Laptop GPU run?

With 12GB VRAM, the NVIDIA GeForce RTX 5070 Laptop GPU runs models up to 14B in 4-bit, or 7B at higher quantizations. See the model list below for tested combinations.

Does NVIDIA GeForce RTX 5070 Laptop GPU support CUDA?

Yes — NVIDIA GeForce RTX 5070 Laptop GPU is an NVIDIA card with full CUDA support, the most mature local-AI backend. llama.cpp, Ollama, vLLM, and ExLlamaV2 all run natively.

Where next?

Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify hardware specifications.