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NVIDIA
Operating mode
Use this to bias workload recommendations toward responsiveness, background autonomy, lighter serving, or multi-GPU scale-out.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
The RTX 2060 6GB is a Turing-era GPU that can still handle small local LLM inference with quantized models. Its 6 GB of VRAM is a hard wall — you'll need Q4 quantization to fit 7B models, and 13B models are off the table entirely. The 2nd-gen Tensor Cores support INT8/INT4 acceleration via llama.cpp or Ollama, but the VRAM ceiling will frustrate anyone wanting to experiment beyond small models. Buy used only — at original MSRP it was never a great AI value.
Beyond LLMs
What AI tasks this GPU can handle — from text generation to image and video creation.
| Capability | Status | Representative Model | Detail |
|---|---|---|---|
| LLM Chat (7B) | Needs offload | Llama 3.1 8B Q4 | — |
| LLM Coding (30B) | Won’t fit | Qwen 3 30B Q4 | — |
| LLM Large (70B) | Won’t fit | Llama 3.1 70B Q4 | — |
| Image Gen (SDXL) | Very constrained | SDXL 1.0 FP16 | ~~33.6s per image |
| Image Gen (Flux) | Won't fit | Flux.1 Dev FP16 | ~~2m 31s per image |
| Image Gen (SD 3.5) | Won't fit | SD 3.5 Large FP16 | ~~3m 5s per image |
| Video Short (25f) | Won't fit | LTX Video 2B | ~~29.2s/frame |
| Video Long (100f) | Won't fit | Wan Video 14B | ~~1m 26s/frame |
Architecture
Turing is NVIDIA's first-generation RTX architecture, introducing dedicated RT and Tensor Cores to consumer GPUs for the first time. Built on TSMC's 12nm FinFET process.
AI Relevance
The first consumer architecture with Tensor Cores, enabling meaningful acceleration for INT8 and FP16 inference. However, limited VRAM (typically 6-11 GB) restricts modern LLM model sizes.
Buying advice
Usable for local AI with limits
Can run 4 of 50 top models, mostly smaller ones. Larger models need heavy quantization or won't fit.
6.0 GB
VRAM
$349
MSRP
$58/GB
Cost per GB VRAM
Best models for this GPU
What will limit you first
This setup is broadly balanced for this model.
Very little memory headroom
You can run the model, but there is not much room left for longer context, bigger batches, extra apps, or future model updates.
Older PCIe generation
PCIe 3.0 is workable, but it compounds the penalty when you offload heavily or try to scale across multiple cards.
Best upgrade itinerary
Buy headroom, not only minimum fit
A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.
Unlocks 38 additional models that do not fit on the current setup.
Want more headroom? RTX 3050 8GB (8.0 GB VRAM) is the next step up.
Chat
SThis model is a direct match for chat. It belongs to a current frontier family for local AI. It fits natively with comfortable headroom. Known channels: huggingface, ollama.
Coding
AThis model is a direct match for coding. It belongs to a current frontier family for local AI. It should run, but memory headroom will be limited. Known channels: huggingface, ollama, lm-studio.
Agentic Coding
AThis model is still usable for agentic-coding, but it is not the most specialized pick. It belongs to a current frontier family for local AI. It should run, but memory headroom will be limited. Known channels: huggingface, ollama, lm-studio.
Reasoning
AThis model is a direct match for reasoning. It belongs to a current frontier family for local AI. It should run, but memory headroom will be limited. Known channels: huggingface, ollama, lm-studio.
RAG
BThis model is a direct match for rag. It sits in the middle of the current model mix. It is likely to require compromise or offload. Known channels: huggingface, ollama.
Just out of reach
High-quality models that need a bit more memory
Image & Video Generation
18 of 52 models can generate images or video on your RTX 2060 6GB
| Model | Max Resolution | Gen Time | Grade |
|---|---|---|---|
| SD TurboImage | 512×512 | ~4.2s | A |
| Stable Diffusion 1.5Image | 512×768 | ~8.4s | B |
| Realistic Vision v5.1Image | 512×768 | ~8.4s | B |
| DreamShaper 8Image | 512×768 | ~8.4s | B |
| LCM DreamShaper v7Image | 512×768 | ~2.5s | B |
| PixArt-SigmaImage | 256×256 | ~33.6s | B |
| FramePack I2VVideo | 256×256 | ~1m 2s/frame | B |
| SDXL TurboImage | 256×256 | ~4.2s | D |
| SDXL LightningImage | 256×256 | ~12.6s | D |
| Stable Diffusion XL 1.0Image | 256×256 | ~33.6s | D |
| Playground v2.5Image | 256×256 | ~50.5s | D |
| RealVisXL v5.0Image | 256×256 | ~37.8s | D |
| DreamShaper XLImage | 256×256 | ~37.8s | D |
| Juggernaut XL v9Image | 256×256 | ~37.8s | D |
| Animagine XL 3.1Image | 256×256 | ~37.8s | D |
| Pony Diffusion V6 XLImage | 256×256 | ~37.8s | D |
| Animagine XL 4.0Image | 256×256 | ~37.8s | D |
| Illustrious XLImage | 256×256 | ~37.8s | D |
| Wan Video 2.1 1.3BVideo | 256×256 | ~24.6s/frame | F |
| Stable Diffusion 3.5 MediumImage | 256×256 | ~58.9s | F |
| Flux.2 Klein 4BImage | 256×256 | ~10.1s | F |
| LTX Video 2BVideo | 256×256 | ~29.2s/frame | F |
| KolorsImage | 256×256 | ~1m 7s | F |
| Stable CascadeImage | 256×256 | ~1m 24s | F |
| AuraFlow v0.3Image | 256×256 | ~2m 31s | F |
| Stable Diffusion 3.5 LargeImage | 256×256 | ~3m 5s | F |
| Stable Diffusion 3.5 Large TurboImage | 256×256 | ~33.6s | F |
| CogVideoX 2BVideo | 256×256 | ~29.2s/frame | F |
| HunyuanVideoVideo | 256×256 | ~1m 2s/frame | F |
| ChromaImage | 256×256 | ~33.6s | F |
| Z-Image TurboImage | 256×256 | ~34.7s | F |
| Flux.1 DevImage | 256×256 | ~2m 31s | F |
| Flux.1 SchnellImage | 256×256 | ~29.4s | F |
| LTX Video 13BVideo | 256×256 | ~1m 2s/frame | F |
| Flux.1 Kontext DevImage | 256×256 | ~2m 48s | F |
| AnimateDiff v1.5.3Video | 512×768 | ~15.3s/frame | F |
| Cosmos Diffusion 7BVideo | 256×256 | ~48.2s/frame | F |
| CogVideoX 5BVideo | 256×256 | ~42.1s/frame | F |
| Wan2.2 TI2V 5BVideo | 256×256 | ~42.1s/frame | F |
| Flux.2 Klein 9BImage | 256×256 | ~16.8s | F |
| Flux.1 Fill DevImage | 256×256 | ~2m 23s | F |
| Mochi 1 PreviewVideo | 256×256 | ~55.6s/frame | F |
| HunyuanVideo 1.5Video | 256×256 | ~51.6s/frame | F |
| Helios 14BVideo | 256×256 | ~1m 4s/frame | F |
| SkyReels V2 14BVideo | 256×256 | ~1m 4s/frame | F |
| Wan Video 2.1 14BVideo | 256×256 | ~1m 4s/frame | F |
| Wan Video 2.2 14BVideo | 256×256 | ~1m 4s/frame | F |
| Qwen ImageImage | 256×256 | ~56.6s | F |
| Qwen Image EditImage | 256×256 | ~56.6s | F |
| Flux.2 DevImage | 256×256 | ~26m 32s | F |
| MAGI-1Video | 256×256 | ~1m 19s/frame | F |
| HunyuanImage 3.0Image | 256×256 | ~1m 40s | F |
Image models estimated at 1024×1024 (28 steps, FP16). Video models estimated at 768×512 (25 frames, 30 steps, FP16). Actual performance varies with runtime and system load.
Upgrade paths
See what you unlock with more powerful hardware
Upgrade options
Unlocks 38 additional models that do not fit on the current setup.
~$249 MSRP
Unlocks 38 additional models that do not fit on the current setup.
Lifts average decode speed across fitting models by about 53%.
~$499 MSRP
Unlocks 112 additional models that do not fit on the current setup.
~$329 MSRP
Unlocks 193 additional models that do not fit on the current setup.
Lifts average decode speed across fitting models by about 425%.
~$8,000 MSRP
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