Budget Pick
NVIDIA GeForce GTX 1060 3GB3 GB VRAM · ~711.1 tok/s
Lowest cost that meets recommended VRAM
Check price on AmazonCompatibility Check
Nomic Embed Text v1.5 is a 0.137B parameter model from the Nomic family. Check if your hardware can handle it.
Send this page to a friend or teammate so they can check whether Nomic Embed Text v1.5 fits their hardware too.
Social proof
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.
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.
| Quantization | File Size | Min VRAM | Recommended VRAM | Min RAM | Context |
|---|---|---|---|---|---|
| FP16Easiest | 0.27 GB | 0.5 GB | 1 GB | 1 GB | 8K / 8K |
Not sure your GPU has enough VRAM? Compare GPUs that can run 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.
Budget Pick
NVIDIA GeForce GTX 1060 3GB3 GB VRAM · ~711.1 tok/s
Lowest cost that meets recommended VRAM
Check price on AmazonFastest Pick
NVIDIA GeForce RTX 509032 GB VRAM · ~6637 tok/s
Highest estimated throughput
Check price on AmazonBest Value
NVIDIA GeForce RTX 3070 Ti8 GB VRAM · ~2251.9 tok/s
Best speed per dollar of VRAM
Check price on AmazonNeed 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
Quantization tip: Benchmark at least two quantizations and validate with a task-specific eval set before production use.