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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 MI210 64GB is a CDNA 2 datacenter GPU and AMD's PCIe-based alternative to the OAM-form-factor MI250X. It offers 64 GB of HBM2e with 1.6 TB/s of memory bandwidth and full ROCm support. It was designed for AI training and inference in data centers and is particularly competitive for its HBM2e capacity, enabling 70B Q4 inference in a single PCIe card without requiring specialized server infrastructure.
Beyond LLMs
What AI tasks this GPU can handle — from text generation to image and video creation.
| Capability | Status | Representative Model | Detail |
|---|---|---|---|
| LLM Chat (7B) | Runs natively | Llama 3.1 8B Q4 | — |
| LLM Coding (30B) | Runs natively | Qwen 3 30B Q4 | — |
| LLM Large (70B) | Runs natively | Llama 3.1 70B Q4 | — |
| Image Gen (SDXL) | Runs natively | SDXL 1.0 FP16 | ~~2s per image |
| Image Gen (Flux) | Runs natively | Flux.1 Dev FP16 | ~~9.1s per image |
| Image Gen (SD 3.5) | Runs natively | SD 3.5 Large FP16 | ~~11.1s per image |
| Video Short (25f) | Runs natively | LTX Video 2B | ~~1.8s/frame |
| Video Long (100f) | Very constrained | Wan Video 14B | ~~8.9s/frame |
Architecture
CDNA 2 powers the Instinct MI210 and MI250/MI250X accelerators. It introduced multi-die packaging with up to 128 GB HBM2e and Infinity Fabric for die-to-die communication.
AI Relevance
With up to 128 GB HBM2e memory and strong ROCm support, CDNA 2 GPUs can host large language models. The MI250X was used in the Frontier exascale supercomputer and supports major AI frameworks.
Buying advice
Excellent choice for local AI
Runs 29 of 50 top models well — a strong all-rounder for local inference.
64.0 GB
VRAM
$10,000
MSRP
$156/GB
Cost per GB VRAM
Best models for this 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 1 additional models that do not fit on the current setup.
Want more headroom? Mac Studio M3 Ultra 96GB (96.0 GB unified memory) is the next step up.
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 should run, but memory headroom will be limited. Known channels: huggingface, ollama, 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 should run, but memory headroom will be limited. Known channels: huggingface, ollama, 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 fits natively with comfortable headroom. Known channels: huggingface, ollama, lm-studio.
Just out of reach
High-quality models that need a bit more memory
Image & Video Generation
51 of 52 models can generate images or video on your AMD Instinct MI210 64GB
| Model | Max Resolution | Gen Time | Grade |
|---|---|---|---|
| SD TurboImage | 512×512 | 300ms | S |
| Stable Diffusion 1.5Image | 512×768 | 500ms | S |
| Realistic Vision v5.1Image | 512×768 | 500ms | S |
| DreamShaper 8Image | 512×768 | 500ms | S |
| LCM DreamShaper v7Image | 512×768 | 200ms | S |
| PixArt-SigmaImage | 1024×1024 | ~2s | S |
| FramePack I2VVideo | 1280×720 | ~3.7s/frame | S |
| SDXL TurboImage | 512×512 | 300ms | S |
| SDXL LightningImage | 1024×1024 | 800ms | S |
| Stable Diffusion XL 1.0Image | 1024×1024 | ~2s | S |
| Playground v2.5Image | 1024×1024 | ~3s | S |
| RealVisXL v5.0Image | 1024×1024 | ~2.3s | S |
| DreamShaper XLImage | 1024×1024 | ~2.3s | S |
| Juggernaut XL v9Image | 1024×1024 | ~2.3s | S |
| Animagine XL 3.1Image | 1024×1024 | ~2.3s | S |
| Pony Diffusion V6 XLImage | 1024×1024 | ~2.3s | S |
| Animagine XL 4.0Image | 1024×1024 | ~2.3s | S |
| Illustrious XLImage | 1024×1024 | ~2.3s | S |
| Wan Video 2.1 1.3BVideo | 480×832 | ~1.5s/frame | S |
| Stable Diffusion 3.5 MediumImage | 1024×1024 | ~3.5s | S |
| Flux.2 Klein 4BImage | 1024×1024 | 600ms | S |
| LTX Video 2BVideo | 1280×720 | ~1.8s/frame | S |
| KolorsImage | 1024×1024 | ~4.1s | S |
| Stable CascadeImage | 1024×1024 | ~5.1s | S |
| AuraFlow v0.3Image | 1536×1536 | ~9.1s | S |
| Stable Diffusion 3.5 LargeImage | 1024×1024 | ~11.1s | S |
| Stable Diffusion 3.5 Large TurboImage | 1024×1024 | ~2s | S |
| CogVideoX 2BVideo | 720×480 | ~1.8s/frame | S |
| HunyuanVideoVideo | 720×1280 | ~3.7s/frame | S |
| ChromaImage | 1024×1024 | ~2s | S |
| Z-Image TurboImage | 1536×1536 | ~2.1s | S |
| Flux.1 DevImage | 1024×1024 | ~9.1s | S |
| Flux.1 SchnellImage | 1024×1024 | ~1.8s | S |
| LTX Video 13BVideo | 1280×720 | ~3.7s/frame | S |
| Flux.1 Kontext DevImage | 1024×1024 | ~10.1s | S |
| AnimateDiff v1.5.3Video | 512×768 | 900ms/frame | S |
| Cosmos Diffusion 7BVideo | 1024×576 | ~2.9s/frame | S |
| CogVideoX 5BVideo | 720×480 | ~2.5s/frame | S |
| Wan2.2 TI2V 5BVideo | 832×480 | ~2.5s/frame | S |
| Flux.2 Klein 9BImage | 1024×1024 | ~1s | S |
| Flux.1 Fill DevImage | 1024×1024 | ~8.6s | S |
| Mochi 1 PreviewVideo | 848×480 | ~3.3s/frame | S |
| HunyuanVideo 1.5Video | 720×1280 | ~3.1s/frame | S |
| Helios 14BVideo | 1280×720 | ~3.8s/frame | S |
| SkyReels V2 14BVideo | 1280×720 | ~3.8s/frame | S |
| Wan Video 2.1 14BVideo | 480×832 | ~3.8s/frame | A |
| Wan Video 2.2 14BVideo | 480×832 | ~3.8s/frame | A |
| Qwen ImageImage | 1024×1024 | ~3.4s | B |
| Qwen Image EditImage | 1024×1024 | ~3.4s | B |
| Flux.2 DevImage | 256×256 | ~1m 36s | B |
| MAGI-1Video | 256×256 | ~7.7s/frame | B |
| HunyuanImage 3.0Image | 256×256 | ~6s | 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
Upgrade options
Unlocks 1 additional models that do not fit on the current setup.
~$3,999 MSRP
Unlocks 8 additional models that do not fit on the current setup.
~$2,499 MSRP
Unlocks 8 additional models that do not fit on the current setup.
Lifts average decode speed across fitting models by about 59%.
~$12,000 MSRP
Unlocks 21 additional models that do not fit on the current setup.
Lifts average decode speed across fitting models by about 88%.
~$8,000 MSRP
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