What can AMD Radeon RX 9070 XT run for agents?
Build: RX 9070 XT + Ryzen 7 9700X + 32GB DDR5 (Linux/ROCm)
Runs comfortably40 models
Ranked by fit for agents use case + predicted speed. Click a row for VRAM breakdown.
Quant: Q4_K_MContext: 8,192VRAM: 11.2 GBHeadroom: 4.8 GBollama run hermes3:8b80tok/sEstimated
ollama run hermes3:8bQuant: Q8_0Context: 8,192VRAM: 11.0 GBHeadroom: 5.0 GBollama run qwen2.5:7b52tok/sEstimated
ollama run qwen2.5:7bQuant: Q5_K_MContext: 8,192VRAM: 10.9 GBHeadroom: 5.1 GBollama run mistral:7b80tok/sEstimated
ollama run mistral:7bQuant: Q4_K_MContext: 8,192VRAM: 11.2 GBHeadroom: 4.8 GB80tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 10.1 GBHeadroom: 5.9 GB91tok/sEstimated
Quant: Q4_K_MContext: 4,096VRAM: 8.4 GBHeadroom: 7.6 GB91tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 10.3 GBHeadroom: 5.7 GB91tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 10.1 GBHeadroom: 5.9 GB91tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 11.0 GBHeadroom: 5.0 GBollama run qwen3:8b80tok/sEstimated
ollama run qwen3:8bQuant: Q4_0Context: 8,192VRAM: 9.9 GBHeadroom: 6.1 GBollama run brooqs/mistral-turkish-v2:latest95tok/sEstimated
ollama run brooqs/mistral-turkish-v2:latestQuant: Q4_K_MContext: 8,192VRAM: 10.4 GBHeadroom: 5.6 GBollama run deepseek-r1:7b91tok/sEstimated
ollama run deepseek-r1:7bQuant: Q4_K_MContext: 4,096VRAM: 7.8 GBHeadroom: 8.2 GB91tok/sEstimated
Runs with tradeoffs48 models
Tight VRAM, partial CPU offload, or context-limited.
Quant: Q4_K_MContext: 2,048VRAM: 13.1 GBHeadroom: 2.9 GB- • Tight VRAM fit — only 2.9 GB headroom left for context growth
ollama run qwen2.5:14b46tok/sEstimated
- • Tight VRAM fit — only 2.9 GB headroom left for context growth
ollama run qwen2.5:14bQuant: Q8_0Context: 8,192VRAM: 12.0 GBHeadroom: 4.0 GB- • Tight VRAM fit — only 4.0 GB headroom left for context growth
ollama run llama3.1:8b45tok/sEstimated
- • Tight VRAM fit — only 4.0 GB headroom left for context growth
ollama run llama3.1:8bQuant: Q4_K_MContext: 8,192VRAM: 28.7 GBHeadroom: 6.5 GB- • Partial CPU offload: ~44% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
ollama run dolphin-mistral:24b4tok/sEstimated
- • Partial CPU offload: ~44% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
ollama run dolphin-mistral:24bQuant: Q4_K_MContext: 2,048VRAM: 24.7 GBHeadroom: 10.5 GB- • Partial CPU offload: ~35% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
ollama run qwen3:30b4tok/sEstimated
- • Partial CPU offload: ~35% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
ollama run qwen3:30bQuant: Q4_K_MContext: 8,192VRAM: 24.1 GBHeadroom: 11.1 GB- • Partial CPU offload: ~34% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
ollama run qwen2.5-coder:32b4tok/sEstimated
- • Partial CPU offload: ~34% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
ollama run qwen2.5-coder:32bQuant: Q4_K_MContext: 2,048VRAM: 26.0 GBHeadroom: 9.2 GB- • Partial CPU offload: ~38% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
ollama run qwen3:32b3tok/sEstimated
- • Partial CPU offload: ~38% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
ollama run qwen3:32bQuant: Q4_K_MContext: 2,048VRAM: 26.0 GBHeadroom: 9.2 GB- • Partial CPU offload: ~38% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
ollama run qwen2.5:32b3tok/sEstimated
- • Partial CPU offload: ~38% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
ollama run qwen2.5:32bQuant: Q4_K_MContext: 8,192VRAM: 32.8 GBHeadroom: 2.4 GB- • Partial CPU offload: ~51% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
ollama run qwen3.8:27b3tok/sEstimated
- • Partial CPU offload: ~51% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
ollama run qwen3.8:27bWhat 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: 46 new comfortable, 59 new tradeoff
- • Qwen 3 0.6B
- • Llama 3.2 3B Instruct
- • Qwen 3 1.7B
- • Gemma 3 270M
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: 60 new comfortable
- • Qwen 3 0.6B
- • Llama 3.1 8B Instruct
- • Llama 3.2 3B Instruct
- • Qwen 3 1.7B
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: 87 new comfortable
- • Qwen 3 0.6B
- • Llama 3.1 8B Instruct
- • Qwen 3 30B-A3B
- • Qwen 2.5 Coder 32B Instruct
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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.
RunPod
billed per GPU-hourHourly GPU pods, in community-cloud and secure-cloud tiers.
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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Host quality varies. Filter for verified hosts and check the host's reliability before a long run.
Rent on Vast.aiReferral links: RunLocalAI may earn a commission or account credits if you sign up and rent, at no extra cost to you. Hourly rates and which GPUs are listed change all the time, so check the provider's page before you start. Editorial opinions are independent of the referral relationship; see how we make money.
How to read these numbers
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