nomic-embed-text v1.5 on NVIDIA RTX 4060 Laptop (40-60W)
Yes — RTX 4060 Laptop (40-60W) runs nomic-embed-text v1.5 excellently at Q8_0 — 2520 tok/s. 8 GB VRAM with plenty of headroom.
Model Size
137M
Device VRAM
8 GB
Bandwidth
256 GB/s
Quantization
Q8_0
Performance by Quantization
OwnRig currently has one published compatibility entry for nomic-embed-text v1.5 on NVIDIA RTX 4060 Laptop (40-60W) at Q8_0. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q8_0 | 2520 tok/s | 13ms | ✓ Yes | Excellent | estimated |
Notes
Q8_0
Sustained post-thermal-throttle performance. TDP-capped laptop variant.
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 RTX 4060 Laptop (40-60W)
NVIDIA RTX 4060 Laptop (40-60W) has 8 GB at 256 GB/s. Street price: $0.
See all models NVIDIA RTX 4060 Laptop (40-60W) can run →Estimate method: Community laptop benchmarks and thermal throttle reports. Reference hardware source: reddit.com (2026-03-14)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.