UNIT · NVIDIA · GPU
3 GB VRAMentryReviewed October 2026

NVIDIA GeForce GTX 1060 3GB

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

Pascal mid-range cut down to 3 GB VRAM. Below the practical AI floor — even 3B Q4 models need ~2 GB plus KV cache. Operators with this card almost universally pair it with CPU offload or upgrade. Still better than nothing for 1B model experiments.

Released 2016·Launch MSRP $199 (2016) · Now sells well below its launch price on the used market.·192 GB/s memory bandwidth
RUNLOCALAI SCORE
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218/ 1000
DD-tier
Estimated
Throughput
67/ 500
VRAM-fit
30/ 200
Ecosystem
200/ 200
Efficiency
15/ 100

Sub-scores sum to 312 / 1000. Headline = 312 × 0.70 (Estimated-confidence discount) = 218. 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 192 GB/s bandwidth — 23.0 tok/s estimated. No measured benchmarks yet.

WORKLOAD FIT
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Plain-English: Doesn't fit modern chat models usefully — vision models won't fit.

7B chat✗
Doesn't fit
14B chat✗
Doesn't fit
32B chat✗
Doesn't fit
70B chat✗
Doesn't fit
Coding agent✗
Doesn't fit
Vision (≤8B VLM)✗
Doesn't fit
Long context (32K)✗
Doesn't fit
✓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 · OVERVIEW

Overview

Pascal mid-range cut down to 3 GB VRAM. Below the practical AI floor — even 3B Q4 models need ~2 GB plus KV cache. Operators with this card almost universally pair it with CPU offload or upgrade. Still better than nothing for 1B model experiments.

Retailers we'd check:Amazon

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BLK · SPECS

Specs

VRAM3 GB
Power draw (peak)120 W
Released2016
MSRP$199
Backends
CUDA
Vulkan

Models that fit

Open-weight models small enough to run on NVIDIA GeForce GTX 1060 3GB with usable context.

all-MiniLM-L6-v2
0.022B · other · fits by VRAM, no benchmark yet
BGE Large EN v1.5
0.335B · other · fits by VRAM, no benchmark yet
Nomic Embed Text v1.5
0.137B · other · fits by VRAM, no benchmark yet
Qwen 3 0.6B
0.6B · qwen · fits by VRAM, no benchmark yet
Kokoro 82M
0.082B · other · fits by VRAM, no benchmark yet
XTTS v2
0.46B · other · fits by VRAM, no benchmark yet
BGE Reranker v2 M3
0.57B · other · fits by VRAM, no benchmark yet
all-mpnet-base-v2
0.109B · other · fits by VRAM, no benchmark yet

Frequently asked

What models can NVIDIA GeForce GTX 1060 3GB run?

With 3GB VRAM, the NVIDIA GeForce GTX 1060 3GB runs small models (3B and under) at modest quantization. See the model list below for tested combinations.

Does NVIDIA GeForce GTX 1060 3GB support CUDA?

Yes — NVIDIA GeForce GTX 1060 3GB is an NVIDIA card with full CUDA support, the most mature local-AI backend. llama.cpp, Ollama, vLLM, and ExLlamaV2 all run natively.

How much does NVIDIA GeForce GTX 1060 3GB cost?

The NVIDIA GeForce GTX 1060 3GB launched at an MSRP of $199 in 2016. Now sells well below its launch price on the used market. Retail prices change often, so check the current price with a retailer before you buy.

Where next?

Buyer guides
Troubleshooting

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