What can AMD Radeon RX 9070 XT run?
Build: AMD Radeon RX 9070 XT + — + 32 GB RAM (windows)
Runs comfortably100 models
Full-VRAM resident, with room for context. No compromises.
Quant: Q4_K_MContext: 8,192VRAM: 1.6 GBHeadroom: 14.4 GB870tok/sEstimated
Quant: Q8_0Context: 8,192VRAM: 11.0 GBHeadroom: 5.0 GBollama run llama3.1:8b37tok/sEstimated
ollama run llama3.1:8bQuant: Q4_K_MContext: 8,192VRAM: 10.0 GBHeadroom: 6.0 GBollama run qwen3:8b65tok/sEstimated
ollama run qwen3:8bQuant: Q4_K_MContext: 2,048VRAM: 11.6 GBHeadroom: 4.4 GBollama run qwen3:14b37tok/sEstimated
ollama run qwen3:14bQuant: Q8_0Context: 8,192VRAM: 6.1 GBHeadroom: 9.9 GBollama run llama3.2:3b99tok/sEstimated
ollama run llama3.2:3bQuant: Q4_K_MContext: 8,192VRAM: 2.8 GBHeadroom: 13.2 GB307tok/sEstimated
Quant: Q8_0Context: 8,192VRAM: 10.0 GBHeadroom: 6.0 GBollama run qwen2.5:7b42tok/sEstimated
ollama run qwen2.5:7bQuant: Q4_K_MContext: 8,192VRAM: 1.3 GBHeadroom: 14.7 GB1932tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 9.4 GBHeadroom: 6.6 GBollama run deepseek-r1:7b75tok/sEstimated
ollama run deepseek-r1:7bQuant: Q4_K_MContext: 2,048VRAM: 11.6 GBHeadroom: 4.4 GBollama run phi4:14b37tok/sEstimated
ollama run phi4:14bQuant: Q4_K_MContext: 8,192VRAM: 10.2 GBHeadroom: 5.8 GBollama run hermes3:8b65tok/sEstimated
ollama run hermes3:8bQuant: Q4_K_MContext: 2,048VRAM: 11.6 GBHeadroom: 4.4 GBollama run phi4-reasoning:14b37tok/sEstimated
ollama run phi4-reasoning:14bRuns with tradeoffs34 models
Tight VRAM, partial CPU offload, or context-limited.
Quant: Q4_K_MContext: 8,192VRAM: 34.9 GBHeadroom: 0.3 GB- • Partial CPU offload: ~54% of layers run on CPU
ollama run qwen3:30b17tok/sEstimated
- • Partial CPU offload: ~54% of layers run on CPU
ollama run qwen3:30bQuant: Q4_K_MContext: 8,192VRAM: 23.1 GBHeadroom: 12.1 GB- • Partial CPU offload: ~31% of layers run on CPU
ollama run qwen2.5-coder:32b16tok/sEstimated
- • Partial CPU offload: ~31% of layers run on CPU
ollama run qwen2.5-coder:32bQuant: Q4_K_MContext: 2,048VRAM: 25.0 GBHeadroom: 10.2 GB- • Partial CPU offload: ~36% of layers run on CPU
ollama run qwen3:32b16tok/sEstimated
- • Partial CPU offload: ~36% of layers run on CPU
ollama run qwen3:32bQuant: Q4_K_MContext: 2,048VRAM: 23.8 GBHeadroom: 11.4 GB- • Partial CPU offload: ~33% of layers run on CPU
ollama run gemma4:31b17tok/sEstimated
- • Partial CPU offload: ~33% of layers run on CPU
ollama run gemma4:31bQuant: Q4_K_MContext: 2,048VRAM: 25.0 GBHeadroom: 10.2 GB- • Partial CPU offload: ~36% of layers run on CPU
ollama run deepseek-r1:32b16tok/sEstimated
- • Partial CPU offload: ~36% of layers run on CPU
ollama run deepseek-r1:32bQuant: Q4_K_MContext: 8,192VRAM: 27.7 GBHeadroom: 7.5 GB- • Partial CPU offload: ~42% of layers run on CPU
ollama run mistral-small:24b22tok/sEstimated
- • Partial CPU offload: ~42% of layers run on CPU
ollama run mistral-small:24bQuant: Q4_K_MContext: 2,048VRAM: 12.1 GBHeadroom: 3.9 GB- • Tight VRAM fit — only 3.9 GB headroom left for context growth
ollama run qwen2.5:14b37tok/sEstimated
- • Tight VRAM fit — only 3.9 GB headroom left for context growth
ollama run qwen2.5:14bQuant: Q4_K_MContext: 8,192VRAM: 31.3 GBHeadroom: 3.9 GB- • Partial CPU offload: ~49% of layers run on CPU
ollama run gemma3:27b19tok/sEstimated
- • Partial CPU offload: ~49% of layers run on CPU
ollama run gemma3:27bWhat if you upgraded?
Hypothetical scenarios. We re-ran the compatibility engine for each.
+32 GB system RAM
Check the current price
Adds 32 GB to your CPU-offload working set. Helps when models don't quite fit in VRAM.
Unlocks: 47 new tradeoff
- • Qwen 3 30B-A3B
- • Llama 3.3 70B Instruct
- • Qwen 2.5 Coder 32B Instruct
- • Qwen 3 32B
Upgrade to AMD Radeon RX 7900 XT
Launch MSRP $899 (2022). Check the current price.
20 GB VRAM (vs your 16 GB) plus a bandwidth jump from ~? GB/s to ~? GB/s.
Unlocks: 7 new comfortable
- • Llama 3.2 11B Vision Instruct
- • Gemma 3 12B
- • Pixtral 12B
- • OLMo 2 13B
Add a second AMD Radeon RX 9070 XT
Launch MSRP $599 (2025). Check the current price.
Tensor parallelism splits the model across both cards, effectively doubling VRAM. Bandwidth doesn't double — runs ~1.5× the single-card speed in practice.
Unlocks: 29 new comfortable
- • Qwen 3 30B-A3B
- • Qwen 2.5 Coder 32B Instruct
- • Qwen 3 32B
- • Gemma 4 31B Dense
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Won't runtop 5 popular models
Need more memory than you have. Shown for orientation.
Even with CPU offload, needs more memory than your VRAM (16 GB) + 60% of system RAM (19 GB) combined.
—
Even with CPU offload, needs more memory than your VRAM (16 GB) + 60% of system RAM (19 GB) combined.
Even with CPU offload, needs more memory than your VRAM (16 GB) + 60% of system RAM (19 GB) combined.
—
Even with CPU offload, needs more memory than your VRAM (16 GB) + 60% of system RAM (19 GB) combined.
Even with CPU offload, needs more memory than your VRAM (16 GB) + 60% of system RAM (19 GB) combined.
—
Even with CPU offload, needs more memory than your VRAM (16 GB) + 60% of system RAM (19 GB) combined.
Even with CPU offload, needs more memory than your VRAM (16 GB) + 60% of system RAM (19 GB) combined.
—
Even with CPU offload, needs more memory than your VRAM (16 GB) + 60% of system RAM (19 GB) combined.
Even with CPU offload, needs more memory than your VRAM (16 GB) + 60% of system RAM (19 GB) combined.
—
Even with CPU offload, needs more memory than your VRAM (16 GB) + 60% of system RAM (19 GB) combined.
Not enough VRAM for these models? Rent a GPU by the hour
The models above need more memory than 16 GB VRAM + 32 GB system RAM. You can rent a GPU with enough VRAM by the hour to run one of them, or to test it before you buy hardware. For daily use, owning a card usually costs less over time.
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The two tiers run on different hosts and terms. Check which tier a pod is on before a long job.
Rent on RunPodVast.ai
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How to read these numbers
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