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AMD Radeon RX 9060 XT 16GB
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Compatibility Report

nomic-embed-text v1.5 on AMD Radeon RX 9060 XT 16GB

AMD Radeon RX 9060 XT 16GB runs nomic-embed-text v1.5 at FP16. Usable on 16 GB VRAM — see full quantization options below.

Model Size

137M

Device VRAM

16 GB

Bandwidth

320 GB/s

Quantization

FP16

Benchmarks

Performance by Quantization

OwnRig currently has one published compatibility entry for nomic-embed-text v1.5 on AMD Radeon RX 9060 XT 16GB at FP16. This is the best supported pairing we can stand behind today.

QuantizationSpeedTTFTFits in VRAMRatingConfidence
FP16––✓ YesAcceptableestimated

Notes

FP16

RDNA 4 card with improving ROCm support; Vulkan remains the safer default in llama.cpp. 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 9060 XT 16GB

AMD Radeon RX 9060 XT 16GB has 16 GB at 320 GB/s. Street price: $349.

See all models AMD Radeon RX 9060 XT 16GB can run →

Estimate method: Estimated from model VRAM requirements and AMD runtime maturity. Reference hardware source: github.com (2026-05-26)

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.

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Trademark Notice: NVIDIA, GeForce, and RTX are trademarks of NVIDIA Corporation. AMD and Radeon are trademarks of Advanced Micro Devices, Inc. Apple, Mac, and Apple Silicon are trademarks of Apple Inc. All other product names, logos, and brands are property of their respective owners. AI model names (Llama, Gemma, Mistral, Qwen, etc.) are trademarks of their respective creators. Use of these names and logos is for identification purposes only and does not imply endorsement.

Independence & Affiliates: OwnRig is an independent resource. We are not affiliated with, endorsed by, or sponsored by any hardware manufacturer, AI model provider, or retailer. Our recommendations are based on technical merit and community benchmarks. Some links on this site are affiliate links. If you purchase through them, we may earn a small commission at no extra cost to you. This does not influence our recommendations.

Data Accuracy: Performance figures are estimates based on community benchmarks and may vary by configuration, driver version, and software. Prices are approximate US retail as of March 2026 and may vary by retailer and region. VRAM requirements are calculated from model parameters with overhead estimates. Always verify specifications with manufacturer documentation before purchasing.

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