nomic-embed-text v1.5 on NVIDIA GeForce RTX 3080 10GB
NVIDIA GeForce RTX 3080 10GB runs nomic-embed-text v1.5 excellently at 2500 tok/s at Q8_0. This is a strong pairing.
Model Size
137M
Device VRAM
10 GB
Bandwidth
760 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 3080 10GB.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q8_0 | 2500 tok/s | 15ms | ✓ Yes | Excellent | estimated |
Notes
Q8_0
Tiny embedding model. Negligible VRAM, runs concurrently with any model.
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 3080 10GB
NVIDIA GeForce RTX 3080 10GB has 10 GB at 760 GB/s. Street price: $399.
See all models NVIDIA GeForce RTX 3080 10GB can run →Source: Performance estimates based on model size and device bandwidth (2026-03-15)
Data last updated: 2026-03-01