nomic-embed-text v1.5 on AMD Radeon RX 7900 XTX
Yes — AMD Radeon RX 7900 XTX handles nomic-embed-text v1.5 well at FP16 — real-time capable. Solid daily-driver performance on 24 GB VRAM.
Model Size
137M
Device VRAM
24 GB
Bandwidth
960 GB/s
Quantization
FP16
Performance by Quantization
OwnRig currently has one published compatibility entry for nomic-embed-text v1.5 on AMD Radeon RX 7900 XTX at FP16. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| FP16 | – | 8ms | ✓ Yes | Good | estimated |
Notes
FP16
ROCm can run large models well on RDNA 3, though CUDA equivalents still have broader tooling support. FP16 fits in VRAM on this card.
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 AMD Radeon RX 7900 XTX
AMD Radeon RX 7900 XTX has 24 GB at 960 GB/s. Street price: $849.
See all models AMD Radeon RX 7900 XTX can run →Builds with AMD Radeon RX 7900 XTX
Estimate method: Estimated from rtx-4090 compatibility patterns plus ROCm/Vulkan adjustments. Reference hardware source: github.com (2026-03-26)
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.