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Intel
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 Intel Data Center GPU Max 1550 (Ponte Vecchio) is Intel's flagship data center GPU, featuring 128 GB of HBM2e memory and 3.2 TB/s bandwidth across a massive multi-tile design. It targets large-scale AI training and inference in HPC environments, competing directly with the NVIDIA A100. Built on the Xe HPC architecture with oneAPI and SYCL, it integrates 128 Xe cores across multiple compute tiles connected via an EMIB and Foveros packaging. Large VRAM capacity enables inference of 70B+ models at FP16 on a single card.
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
Ponte Vecchio is Intel's datacenter GPU architecture powering the Max series accelerators. It uses advanced multi-tile packaging combining Intel 7 and TSMC N5 processes, with up to 128 GB HBM2e memory.
AI Relevance
With 128 GB HBM2e and oneAPI support, the Max 1550 can host large AI models. Used in the Aurora exascale supercomputer. However, the AI software ecosystem is smaller than CUDA or ROCm.
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 Intel Data Center GPU Max 1550 128GB
| Model | Max Resolution | Gen Time | Grade |
|---|---|---|---|
| SD TurboImage | 512×512 | 500ms | S |
| Stable Diffusion 1.5Image | 512×768 | ~1s | S |
| Realistic Vision v5.1Image | 512×768 | ~1s | S |
| DreamShaper 8Image | 512×768 | ~1s | S |
| LCM DreamShaper v7 |
Multi-GPU scaling
Scale out with multiple GPUs for larger models. PCIe interconnect with 20% scaling overhead.
| Config | Effective memory | Models that fit | Est. bandwidth |
|---|---|---|---|
| 1× Intel | 128 GB | 351/374 | 3,200 GB/s |
| 2× Intel | 256 GB | 363/374 | 5,120 GB/s |
| 4× Intel | 512 GB | 371/374 | 10,240 GB/s |
Model counts use default quantization at coding workload settings. Multi-GPU scaling factor: 0.8× per additional GPU.
Upgrade paths
See what you unlock with more powerful hardware
Upgrade options
Unlocks 20 additional models that do not fit on the current setup.
Lifts average decode speed across fitting models by about 55%.
Infinity Fabric gives this scale-out path a cleaner inter-GPU story than PCIe-only builds.
~$15,000 MSRP
Unlocks 2 additional models that do not fit on the current setup.
Lifts average decode speed across fitting models by about 32%.
~$30,000 MSRP
Unlocks 12 additional models that do not fit on the current setup.
Lifts average decode speed across fitting models by about 34%.
~$20,000 MSRP
Unlocks 13 additional models that do not fit on the current setup.
Lifts average decode speed across fitting models by about 51%.
~$8,000 MSRP
Compare with similar
| Runs natively |
| Llama 3.1 70B Q4 |
| — |
| Image Gen (SDXL) | Runs natively | SDXL 1.0 FP16 | ~~3.8s per image |
| Image Gen (Flux) | Runs natively | Flux.1 Dev FP16 | ~~17.1s per image |
| Image Gen (SD 3.5) | Runs natively | SD 3.5 Large FP16 | ~~20.9s per image |
| Video Short (25f) | Runs natively | LTX Video 2B | ~~3.3s/frame |
| Video Long (100f) | Runs natively | Wan Video 14B | ~~9.7s/frame |
This 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, 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, lm-studio.
| 512×768 |
| 300ms |
| S |
| PixArt-SigmaImage | 1024×1024 | ~3.8s | S |
| FramePack I2VVideo | 1280×720 | ~7s/frame | S |
| SDXL TurboImage | 512×512 | 500ms | S |
| SDXL LightningImage | 1024×1024 | ~1.4s | S |
| Stable Diffusion XL 1.0Image | 1024×1024 | ~3.8s | S |
| Playground v2.5Image | 1024×1024 | ~5.7s | S |
| RealVisXL v5.0Image | 1024×1024 | ~4.3s | S |
| DreamShaper XLImage | 1024×1024 | ~4.3s | S |
| Juggernaut XL v9Image | 1024×1024 | ~4.3s | S |
| Animagine XL 3.1Image | 1024×1024 | ~4.3s | S |
| Pony Diffusion V6 XLImage | 1024×1024 | ~4.3s | S |
| Animagine XL 4.0Image | 1024×1024 | ~4.3s | S |
| Illustrious XLImage | 1024×1024 | ~4.3s | S |
| Wan Video 2.1 1.3BVideo | 480×832 | ~2.8s/frame | S |
| Stable Diffusion 3.5 MediumImage | 1024×1024 | ~6.7s | S |
| Flux.2 Klein 4BImage | 1024×1024 | ~1.1s | S |
| LTX Video 2BVideo | 1280×720 | ~3.3s/frame | S |
| KolorsImage | 1024×1024 | ~7.6s | S |
| Stable CascadeImage | 1024×1024 | ~9.5s | S |
| AuraFlow v0.3Image | 1536×1536 | ~17.1s | S |
| Stable Diffusion 3.5 LargeImage | 1024×1024 | ~20.9s | S |
| Stable Diffusion 3.5 Large TurboImage | 1024×1024 | ~3.8s | S |
| CogVideoX 2BVideo | 720×480 | ~3.3s/frame | S |
| HunyuanVideoVideo | 720×1280 | ~7s/frame | S |
| ChromaImage | 1024×1024 | ~3.8s | S |
| Z-Image TurboImage | 1536×1536 | ~3.9s | S |
| Flux.1 DevImage | 1024×1024 | ~17.1s | S |
| Flux.1 SchnellImage | 1024×1024 | ~3.3s | S |
| LTX Video 13BVideo | 1280×720 | ~7s/frame | S |
| Flux.1 Kontext DevImage | 1024×1024 | ~19s | S |
| AnimateDiff v1.5.3Video | 512×768 | ~1.7s/frame | S |
| Cosmos Diffusion 7BVideo | 1024×576 | ~5.5s/frame | S |
| CogVideoX 5BVideo | 720×480 | ~4.8s/frame | S |
| Wan2.2 TI2V 5BVideo | 832×480 | ~4.8s/frame | S |
| Flux.2 Klein 9BImage | 1024×1024 | ~1.9s | S |
| Flux.1 Fill DevImage | 1024×1024 | ~16.2s | S |
| Mochi 1 PreviewVideo | 848×480 | ~6.3s/frame | S |
| HunyuanVideo 1.5Video | 720×1280 | ~5.8s/frame | S |
| Helios 14BVideo | 1280×720 | ~7.2s/frame | S |
| SkyReels V2 14BVideo | 1280×720 | ~7.2s/frame | S |
| Wan Video 2.1 14BVideo | 720×1280 | ~7.2s/frame | S |
| Wan Video 2.2 14BVideo | 720×1280 | ~7.2s/frame | S |
| Qwen ImageImage | 1024×1024 | ~6.4s | S |
| Qwen Image EditImage | 1024×1024 | ~6.4s | S |
| Flux.2 DevImage | 1024×1024 | ~3m 0s | S |
| MAGI-1Video | 1280×720 | ~8.9s/frame | S |
| HunyuanImage 3.0Image | 256×256 | ~11.3s | 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
$15,000
MSRP
$117/GB
Cost per GB VRAM
Best models for this GPU
What will limit you first
The raw memory story may look fine, but the software ecosystem is still a constraint here.
Runtime ecosystem is narrower than CUDA
Intel GPUs can look attractive on memory per dollar, but local AI tooling, kernels, and model coverage are still broader and easier on CUDA today.
Best upgrade itinerary
Prefer CUDA if you want the path of least resistance
If your goal is maximum runtime coverage, easier troubleshooting, and better support for new local AI releases, CUDA is usually still the safer upgrade path.
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.
