OwnRig

nomic-embed-text v1.5 on NVIDIA GeForce RTX 3060 12GB

NVIDIA GeForce RTX 3060 12GB runs nomic-embed-text v1.5 excellently at FP16. This is a strong pairing.

Model Size

137M

Device VRAM

12 GB

Bandwidth

360 GB/s

Quantizations Tested

1

Performance by Quantization

Each row shows nomic-embed-text v1.5 performance at a different quality level on NVIDIA GeForce RTX 3060 12GB.

QuantizationSpeedTTFTFits in VRAMRatingConfidence
FP1615ms✓ YesExcellentestimated

Notes

FP16

Embedding model — tok/s not applicable. 0.5GB VRAM at FP16. Runs on literally any GPU.

At 0.5GB VRAM, runs alongside any model with negligible impact.

About nomic-embed-text v1.5

nomic-embed-text v1.5 (137M) is a embeddings, ai building model. High-quality text embedding model for RAG pipelines. 137M params — negligible VRAM. Competitive with OpenAI's ada-002 on MTEB benchmarks. Essential for builders running local RAG with Cursor or similar tools. Can run concurrently with coding models without meaningful VRAM impact.

View all nomic-embed-text v1.5 hardware options →

About NVIDIA GeForce RTX 3060 12GB

NVIDIA GeForce RTX 3060 12GB has 12 GB at 360 GB/s. Street price: $269.

See all models NVIDIA GeForce RTX 3060 12GB can run →

Builds with NVIDIA GeForce RTX 3060 12GB

Source: Model card (2026-01-15)

Data last updated: 2026-03-01