nomic-embed-text v1.5 on NVIDIA GeForce RTX 4070 Super
NVIDIA GeForce RTX 4070 Super runs nomic-embed-text v1.5 excellently at FP16. This is a strong pairing.
Model Size
137M
Device VRAM
12 GB
Bandwidth
504 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 4070 Super.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| FP16 | — | 12ms | ✓ Yes | Excellent | estimated |
Notes
FP16
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 4070 Super
NVIDIA GeForce RTX 4070 Super has 12 GB at 504 GB/s. Street price: $599.
See all models NVIDIA GeForce RTX 4070 Super can run →Builds with NVIDIA GeForce RTX 4070 Super
Source: Model card (2026-03-01)
Data last updated: 2026-03-01