AMD
Operating mode
Use this to bias workload recommendations toward responsiveness, background autonomy, lighter serving, or multi-GPU scale-out.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
The AMD Instinct MI60 32GB is an older Vega-based datacenter GPU from 2018, one of AMD's first serious HPC accelerators. While it has full ROCm support (being a datacenter Instinct card), the Vega architecture is old and the 29 TFLOPS FP16 compute is very modest by modern standards. The 32 GB of HBM2 VRAM is its main AI asset, but newer Instinct cards offer dramatically better compute at lower cost on the used market.
Beyond LLMs
What AI tasks this GPU can handle — from text generation to image and video creation.
| Capability | Status | Representative Model |
|---|---|---|
| LLM Chat (7B) | Runs natively | Llama 3.1 8B Q4 |
| LLM Coding (30B) | Runs natively | Qwen 3 30B Q4 |
| LLM Large (70B) | Won’t fit | Llama 3.1 70B Q4 |
| Image Gen (SDXL) | Runs natively | SDXL 1.0 FP16 |
| Image Gen (Flux) | Runs natively | Flux.1 Dev FP16 |
| Image Gen (SD 3.5) | Runs natively | SD 3.5 Large FP16 |
| Video Short (25f) | Runs natively | LTX Video 2B |
| Video Long (100f) | Won't fit | Wan Video 14B |
Architecture
Vega is AMD's GCN 5th generation architecture, featuring HBM2 memory and high compute density. Used in consumer Vega cards and the Instinct MI60 datacenter accelerator.
AI Relevance
The Instinct MI60 with 32 GB HBM2 and ROCm support can run LLM inference, but its age means limited compatibility with modern AI frameworks. Consumer Vega cards have insufficient VRAM for meaningful AI work.
Conselho de compra
Excelente escolha para IA local
Roda 27 de 50 modelos principais bem — um ótimo coringa para inferência local.
32.0 GB
VRAM
$8,999
Preço sugerido
$281/GB
Custo por GB de VRAM
Melhores modelos para esta GPU
What will limit you first
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
Best upgrade itinerary
Unlocks 11 additional models that do not fit on the current setup.
Quer mais margem? MacBook Pro M1 Max 64GB (64.0 GB unified memory) é o próximo passo.
Chat
SThis model is a direct match for chat. It belongs to a current frontier family for local AI. It fits natively with comfortable headroom. Known channels: huggingface, ollama, lm-studio.
Coding
SThis model is a direct match for coding. It belongs to a current frontier family for local AI. It fits natively with comfortable headroom. Known channels: huggingface, lm-studio.
Agentic Coding
SThis model is still usable for agentic-coding, but it is not the most specialized pick. It belongs to a current frontier family for local AI. It fits natively with comfortable headroom. Known channels: huggingface, lm-studio.
Reasoning
SThis model is a direct match for reasoning. It belongs to a current frontier family for local AI. It fits natively with comfortable headroom. Known channels: huggingface, ollama, lm-studio.
RAG
SThis model is a direct match for rag. It belongs to a current frontier family for local AI. It should run, but memory headroom will be limited. Known channels: huggingface, ollama, lm-studio.
Qwen3-Coder 30B A3B InstructQwen3-VL 30B A3B InstructQwen 3 30B A3BQwen 3.5 27BQwen 3.6 35B A3B
Magistral Small 2507Qwen 3.5 35B A3BDevstral Small 2 24B Instruct
Nemotron Cascade 2 30B A3BQwen 3.6 27B
GPT-OSS 20BNemotron 3 Nano 30BDevstral Small 1.1
Gemma 4 26B A4BQwen 3 14BQwen 3.5 9BQwen 3 32B
Phi-4-reasoning-plus 14BQwen 3 8BQwen 3.5 4BMinistral 3 14B
EXAONE 4.0 32BNemotron Nano 8BPhi-4 Mini Reasoning 4B
Jina Embeddings v3
BGE M3Gemma 4 31BQwen 3.5 397B A17BDevstral 2 123B Instruct
Kimi K2.5Kimi K2.6
DeepSeek V4 ProQwen 3.5 122B A10BDeepSeek V4 FlashMistral Small 4 119B
Command A 111BQwen 2.5 VL 72BGPT-OSS 120BQwen3-Coder-Next
GLM-5.1Pixtral Large 124BGLM-5DeepSeek V3.2Qwen 3 235B A22BQwen3-Coder 480B A35B InstructLeanstral 119B A6BDeepSeek Coder V2 236BDeepSeek R1 671BDeepSeek V3.1 671BQuase ao alcance
Modelos de alta qualidade que precisam de um pouco mais de memória
Image & Video Generation
43 of 52 models can generate images or video on your AMD Instinct MI60 32GB
| Model | Max Resolution | Gen Time | Grade |
|---|---|---|---|
| SD TurboImage | 512×512 | ~2.2s | S |
| Stable Diffusion 1.5Image | 512×768 | ~4.4s | S |
| Realistic Vision v5.1Image | 512×768 | ~4.4s | S |
| DreamShaper 8Image | 512×768 | ~4.4s | S |
| LCM DreamShaper v7Image | 512×768 | ~1.3s | S |
| PixArt-SigmaImage | 1024×1024 | ~17.5s | S |
| FramePack I2VVideo | 256×256 | ~32.2s/frame | S |
| SDXL TurboImage | 512×512 | ~2.2s | S |
| SDXL LightningImage | 1024×1024 | ~6.6s | S |
| Stable Diffusion XL 1.0Image | 1024×1024 | ~17.5s | S |
| Playground v2.5Image | 1024×1024 | ~26.3s | S |
| RealVisXL v5.0Image | 1024×1024 | ~19.7s | S |
| DreamShaper XLImage | 1024×1024 | ~19.7s | S |
| Juggernaut XL v9Image | 1024×1024 | ~19.7s | S |
| Animagine XL 3.1Image | 1024×1024 | ~19.7s | S |
| Pony Diffusion V6 XLImage | 1024×1024 | ~19.7s | S |
| Animagine XL 4.0Image | 1024×1024 | ~19.7s | S |
| Illustrious XLImage | 1024×1024 | ~19.7s | S |
| Wan Video 2.1 1.3BVideo | 480×832 | ~12.8s/frame | S |
| Stable Diffusion 3.5 MediumImage | 1024×1024 | ~30.7s | S |
| Flux.2 Klein 4BImage | 1024×1024 | ~5.3s | S |
| LTX Video 2BVideo | 1280×720 | ~15.2s/frame | S |
| KolorsImage | 1024×1024 | ~35.1s | S |
| Stable CascadeImage | 1024×1024 | ~43.9s | S |
| AuraFlow v0.3Image | 1536×1536 | ~1m 19s | S |
| Stable Diffusion 3.5 LargeImage | 1024×1024 | ~1m 37s | S |
| Stable Diffusion 3.5 Large TurboImage | 1024×1024 | ~17.5s | S |
| CogVideoX 2BVideo | 720×480 | ~15.2s/frame | S |
| HunyuanVideoVideo | 256×256 | ~32.2s/frame | S |
| ChromaImage | 1024×1024 | ~17.5s | S |
| Z-Image TurboImage | 1536×1536 | ~18.1s | S |
| Flux.1 DevImage | 256×256 | ~2m 18s | S |
| Flux.1 SchnellImage | 256×256 | ~26.9s | S |
| LTX Video 13BVideo | 256×256 | ~32.2s/frame | S |
| Flux.1 Kontext DevImage | 256×256 | ~2m 34s | S |
| AnimateDiff v1.5.3Video | 512×768 | ~8s/frame | S |
| Cosmos Diffusion 7BVideo | 1024×576 | ~25.1s/frame | A |
| CogVideoX 5BVideo | 720×480 | ~22s/frame | A |
| Wan2.2 TI2V 5BVideo | 832×480 | ~22s/frame | A |
| Flux.2 Klein 9BImage | 1024×1024 | ~8.8s | A |
| Flux.1 Fill DevImage | 256×256 | ~2m 11s | B |
| Mochi 1 PreviewVideo | 256×256 | ~52.2s/frame | D |
| HunyuanVideo 1.5Video | 256×256 | ~50.1s/frame | D |
| Helios 14BVideo | 256×256 | ~33.2s/frame | F |
| SkyReels V2 14BVideo | 256×256 | ~33.2s/frame | F |
| Wan Video 2.1 14BVideo | 256×256 | ~33.2s/frame | F |
| Wan Video 2.2 14BVideo | 256×256 | ~33.2s/frame | F |
| Qwen ImageImage | 256×256 | ~29.5s | F |
| Qwen Image EditImage | 256×256 | ~29.5s | F |
| Flux.2 DevImage | 256×256 | ~13m 50s | F |
| MAGI-1Video | 256×256 | ~41.2s/frame | F |
| HunyuanImage 3.0Image | 256×256 | ~52s | F |
Image models estimated at 1024×1024 (28 steps, FP16). Video models estimated at 768×512 (25 frames, 30 steps, FP16). Actual performance varies with runtime and system load.
Upgrade paths
See what you unlock with more powerful hardware
Opções de upgrade
Unlocks 11 additional models that do not fit on the current setup.
~$2,499 MSRP
Unlocks 13 additional models that do not fit on the current setup.
~$3,999 MSRP
Unlocks 26 additional models that do not fit on the current setup.
~$2,499 MSRP
Unlocks 39 additional models that do not fit on the current setup.
Lifts average decode speed across fitting models by about 144%.
~$8,000 MSRP
AMD Instinct MI60 32GB (32 GB VRAM) can run these top models: Qwen3-Coder 30B A3B Instruct (score: 99/100), Qwen3-VL 30B A3B Instruct (score: 99/100), Qwen 3 30B A3B (score: 97/100). See the full compatibility list above.
AMD Instinct MI60 32GB has 32 GB of VRAM available for AI model inference. This determines which models and quantization levels you can run locally.
Yes, AMD Instinct MI60 32GB is excellent for running LLMs locally with top compatibility scores above 80/100.
For coding on AMD Instinct MI60 32GB, we recommend Qwen 3.6 27B. It achieves 20.5 tokens per second with 187K context window. This model is a direct match for coding. It belongs to a current frontier family for local AI. It fits natively with comfortable headroom. Known channels: huggingface, lm-studio.
There are 4 upgrade path(s) from AMD Instinct MI60 32GB: MacBook Pro M1 Max 64GB, Radeon PRO W7900 DS 48GB. Upgrading would unlock larger models and faster inference speeds.
Yes, AMD Instinct MI60 32GB with 32 GB of usable memory can run Flux.1 Dev at FP16 natively. Flux is a 12B parameter diffusion transformer that produces high-quality images. You can also run the Schnell variant for faster generation.
AMD Instinct MI60 32GB (32 GB VRAM) can handle various AI generation tasks beyond LLMs. For image generation, SDXL and Stable Diffusion 3.5 run well. Flux.1 Dev also runs natively for state-of-the-art image quality. For video, LTX Video 2.3 can generate short clips. Check the AI Capability Matrix above for detailed compatibility.
AMD Instinct MI60 32GB is excellent for AI image generation. With 32 GB of usable memory, it runs all major diffusion models including Flux.1, SDXL, and Stable Diffusion 3.5 at full precision. You can generate high-resolution images quickly and even handle video generation models.
Yes, AMD Instinct MI60 32GB with 32 GB of usable memory can run Qwen 3.5 27B at Q4_K_M (~16.5 GB) with ~7 GB headroom for context and runtime. Quality at Q4 is very close to full precision for most tasks. Run it with: ollama run qwen3.5:27b
With 32 GB on AMD Instinct MI60 32GB, Q4_K_M is the sweet spot for 27B-35B models, Q6_K for 14B models, and Q8_0 for 8B-9B models. The general rule: use the highest quantization that fits with at least 2-3 GB headroom for KV cache and runtime.
AMD Instinct MI60 32GB already has strong memory bandwidth, so the next limit is often memory capacity and context headroom rather than raw decode speed. For local LLMs, fit first and bandwidth second is the right mental model.
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