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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 MI250 128GB is a CDNA 2 OAM-format accelerator with 128 GB of HBM2e memory spread across two GPU chiplets. It delivers 3.2 TB/s of aggregate memory bandwidth and full ROCm support, making it one of the most memory-bandwidth-rich AI platforms available. The MI250 is the non-XL variant of the MI250X, with similar memory but slightly lower compute. It enables inference of 405B+ models at Q4 with sufficient system bandwidth.
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) |
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.
Chat
SQwen 3.5 122B A10B matches Chat and keeps a practical fit profile. It is a recent-generation family, which helps on current local SOTA workloads. It fits natively with comfortable headroom. Context coverage stays within the requested workload envelope. Known distribution channels: huggingface, lm-studio.
Coding
SQwen3-Coder-Next is a specialized fit for Coding. It is a recent-generation family, which helps on current local SOTA workloads. It fits natively with comfortable headroom. Context coverage stays within the requested workload envelope. Known distribution channels: huggingface, ollama, lm-studio.
Agentic Coding
Just out of reach
High-quality models that need a bit more memory
Image & Video Generation
52 of 52 models can generate images or video on your AMD Instinct MI250 128GB
| Model | Max Resolution | Gen Time | Grade |
|---|---|---|---|
| SD TurboImage | 512×512 | 100ms | S |
| Stable Diffusion 1.5Image | 512×768 | 300ms | S |
| Realistic Vision v5.1Image | 512×768 | 300ms | S |
| DreamShaper 8Image | 512×768 | 300ms | S |
| LCM DreamShaper v7 |
Upgrade paths
See what you unlock with more powerful hardware
Upgrade options
Unlocks 2 additional models that do not fit on the current setup.
Lifts average decode speed across fitting models by about 29%.
~$30,000 MSRP
Unlocks 8 additional models that do not fit on the current setup.
Lifts average decode speed across fitting models by about 57%.
~$30,000 MSRP
Unlocks 12 additional models that do not fit on the current setup.
Lifts average decode speed across fitting models by about 31%.
~$20,000 MSRP
Unlocks 13 additional models that do not fit on the current setup.
Lifts average decode speed across fitting models by about 47%.
~$8,000 MSRP
Compare with similar
| Runs natively |
| Llama 3.1 70B Q4 |
| — |
| Image Gen (SDXL) | Runs natively | SDXL 1.0 FP16 | ~~1s per image |
| Image Gen (Flux) | Runs natively | Flux.1 Dev FP16 | ~~4.6s per image |
| Image Gen (SD 3.5) | Runs natively | SD 3.5 Large FP16 | ~~5.6s per image |
| Video Short (25f) | Runs natively | LTX Video 2B | ~900ms/frame |
| Video Long (100f) | Runs natively | Wan Video 14B | ~~2.6s/frame |
Devstral 2 123B Instruct is a specialized fit for Agentic Coding. It is a recent-generation family, which helps on current local SOTA workloads. It fits natively with comfortable headroom. Context coverage stays within the requested workload envelope. Known distribution channels: huggingface, lm-studio.
Reasoning
SDevstral 2 123B Instruct matches Reasoning and keeps a practical fit profile. It is a recent-generation family, which helps on current local SOTA workloads. It fits natively with comfortable headroom. Context coverage stays within the requested workload envelope. Known distribution channels: huggingface, lm-studio.
RAG
SQwen 3.5 122B A10B matches RAG and keeps a practical fit profile. It is a recent-generation family, which helps on current local SOTA workloads. It fits natively with comfortable headroom. Context coverage stays within the requested workload envelope. Known distribution channels: huggingface, lm-studio.
| 512×768 |
| 100ms |
| S |
| PixArt-SigmaImage | 1024×1024 | ~1s | S |
| FramePack I2VVideo | 1280×720 | ~1.9s/frame | S |
| SDXL TurboImage | 512×512 | 100ms | S |
| SDXL LightningImage | 1024×1024 | 400ms | S |
| Stable Diffusion XL 1.0Image | 1024×1024 | ~1s | S |
| Playground v2.5Image | 1024×1024 | ~1.5s | S |
| RealVisXL v5.0Image | 1024×1024 | ~1.1s | S |
| DreamShaper XLImage | 1024×1024 | ~1.1s | S |
| Juggernaut XL v9Image | 1024×1024 | ~1.1s | S |
| Animagine XL 3.1Image | 1024×1024 | ~1.1s | S |
| Pony Diffusion V6 XLImage | 1024×1024 | ~1.1s | S |
| Animagine XL 4.0Image | 1024×1024 | ~1.1s | S |
| Illustrious XLImage | 1024×1024 | ~1.1s | S |
| Wan Video 2.1 1.3BVideo | 480×832 | 700ms/frame | S |
| Stable Diffusion 3.5 MediumImage | 1024×1024 | ~1.8s | S |
| Flux.2 Klein 4BImage | 1024×1024 | 300ms | S |
| LTX Video 2BVideo | 1280×720 | 900ms/frame | S |
| KolorsImage | 1024×1024 | ~2s | S |
| Stable CascadeImage | 1024×1024 | ~2.5s | S |
| AuraFlow v0.3Image | 1536×1536 | ~4.6s | S |
| Stable Diffusion 3.5 LargeImage | 1024×1024 | ~5.6s | S |
| Stable Diffusion 3.5 Large TurboImage | 1024×1024 | ~1s | S |
| CogVideoX 2BVideo | 720×480 | 900ms/frame | S |
| HunyuanVideoVideo | 720×1280 | ~1.9s/frame | S |
| ChromaImage | 1024×1024 | ~1s | S |
| Z-Image TurboImage | 1536×1536 | ~1s | S |
| Flux.1 DevImage | 1024×1024 | ~4.6s | S |
| Flux.1 SchnellImage | 1024×1024 | 900ms | S |
| LTX Video 13BVideo | 1280×720 | ~1.9s/frame | S |
| Flux.1 Kontext DevImage | 1024×1024 | ~5.1s | S |
| AnimateDiff v1.5.3Video | 512×768 | 500ms/frame | S |
| Cosmos Diffusion 7BVideo | 1024×576 | ~1.5s/frame | S |
| CogVideoX 5BVideo | 720×480 | ~1.3s/frame | S |
| Wan2.2 TI2V 5BVideo | 832×480 | ~1.3s/frame | S |
| Flux.2 Klein 9BImage | 1024×1024 | 500ms | S |
| Flux.1 Fill DevImage | 1024×1024 | ~4.3s | S |
| Mochi 1 PreviewVideo | 848×480 | ~1.7s/frame | S |
| HunyuanVideo 1.5Video | 720×1280 | ~1.6s/frame | S |
| Helios 14BVideo | 1280×720 | ~1.9s/frame | S |
| SkyReels V2 14BVideo | 1280×720 | ~1.9s/frame | S |
| Wan Video 2.1 14BVideo | 720×1280 | ~1.9s/frame | S |
| Wan Video 2.2 14BVideo | 720×1280 | ~1.9s/frame | S |
| Qwen ImageImage | 1024×1024 | ~1.7s | S |
| Qwen Image EditImage | 1024×1024 | ~1.7s | S |
| Flux.2 DevImage | 1024×1024 | ~47.9s | S |
| MAGI-1Video | 1280×720 | ~2.4s/frame | S |
| HunyuanImage 3.0Image | 256×256 | ~3s | D |
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.
Buying advice
Excellent choice for local AI
Runs 36 of 50 top models well — a strong all-rounder for local inference.
128.0 GB
VRAM
$19,000
MSRP
$148/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 2 additional models that do not fit on the current setup.
Want more headroom? NVIDIA H200 141GB (141.0 GB VRAM) is the next step up.
