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AMD Radeon RX 9060 XT 8GB
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Compatibility Report

Gemma 2 27B Instruct on AMD Radeon RX 9060 XT 8GB

AMD Radeon RX 9060 XT 8GB cannot run Gemma 2 27B Instruct. 8 GB VRAM is insufficient at any quantization level.

Model Size

27.23B

Device VRAM

8 GB

Bandwidth

256 GB/s

Quantization

Q3_K_M

Benchmarks

Performance by Quantization

OwnRig currently has one published compatibility entry for Gemma 2 27B Instruct on AMD Radeon RX 9060 XT 8GB at Q3_K_M. This pairing has limitations — check the rating and notes below.

QuantizationSpeedTTFTFits in VRAMRatingConfidence
Q3_K_M––✗ OffloadNot viableestimated

Notes

Q3_K_M

RDNA 4 card with improving ROCm support; Vulkan remains the safer default in llama.cpp. Q3_K_M fits in VRAM on this card. Does not fit in 8GB VRAM (12.5GB required for Q3_K_M).

About Gemma 2 27B Instruct

Gemma 2 27B Instruct (27.23B) is a chat, coding, reasoning, multi-purpose model. Google's 27B model with effective knowledge distillation. Reasoning and coding at a size that fits on a single 24 GB GPU at Q4. Limited to 8K context.

View all Gemma 2 27B Instruct hardware options →

About AMD Radeon RX 9060 XT 8GB

AMD Radeon RX 9060 XT 8GB has 8 GB at 256 GB/s. Street price: $299.

See all models AMD Radeon RX 9060 XT 8GB can run →

Estimate method: Estimated from rtx-4060-ti-16gb compatibility patterns plus ROCm/Vulkan adjustments. 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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