nomic-embed-text v1.5 on AMD Radeon RX 7600
Yes — AMD Radeon RX 7600 handles nomic-embed-text v1.5 well at Q8_0 — 500 tok/s. Solid daily-driver performance on 8 GB VRAM.
Model Size
137M
Device VRAM
8 GB
Bandwidth
288 GB/s
Quantization
Q8_0
Performance by Quantization
OwnRig currently has one published compatibility entry for nomic-embed-text v1.5 on AMD Radeon RX 7600 at Q8_0. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q8_0 | 500 tok/s | 15ms | ✓ Yes | Good | estimated |
Notes
Q8_0
Budget RDNA 3 card. Vulkan is the most reliable local runtime; ROCm support is more limited. Q8_0 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 7600
AMD Radeon RX 7600 has 8 GB at 288 GB/s. Street price: $239.
See all models AMD Radeon RX 7600 can run →Estimate method: Estimated from rtx-4060-8gb 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.