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79% of 1,529 scanned PCs run Nomic Embed Text v1.5 fully on GPU.

1,210 keep at least some work on GPU. Based on anonymous compatibility checks.

Full GPU
1,207
Partial GPU
3
CPU Only
267
Can't Run
52

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Hardware Requirements

Beginner tip: minimum values mean the model can start, while recommended values usually feel smoother during real use. VRAM is your GPU's dedicated memory; RAM is your system memory used as fallback. See the full glossary.

QuantizationFile SizeMin VRAMRecommended VRAMMin RAMContext
FP16Easiest0.27 GB0.5 GB1 GB1 GB8K / 8K

Not sure your GPU has enough VRAM? Compare GPUs that can run Nomic Embed Text v1.5.

Recommended GPUs for Nomic Embed Text v1.5

These GPUs meet the recommended 1 GB VRAM for the FP16 quantization. Estimated speeds are approximate and assume full GPU offloading.

Need a detailed comparison? See all GPU rankings for Nomic Embed Text v1.5.

Why choose Nomic Embed Text v1.5?

General-purpose local model brief

  • Pilot testing with your own tasks
  • Controlled local experiments

Quantization tip: Benchmark at least two quantizations and validate with a task-specific eval set before production use.

Full Model DetailsBest GPU for Nomic Embed Text v1.5Check on RTX 4090Nomic Embed Text v1.5 pros & consSetup GuidesDecision WizardBrowse All Models