Can I use AMD Instinct MI325X for Stable Diffusion?
💡 Answer
The standard use cases for AMD Instinct MI325X map directly to its specs. With 256 GB of memory, CDNA 3 tensor cores, and a data-center segment positioning, it covers: AI training, large model inference.
In practice, that means AMD Instinct MI325X is the card teams reach for when they need real AI performance but don't yet have the budget or workload scale for the top-tier H100/B200 class. Entry pricing at $2.00 per hour via Vultr puts it within reach of most projects.
Get AMD Instinct MI325X on Vultr starting at $2.00/hr — live pricing and fast provisioning.
More FAQs about AMD Instinct MI325X
Vultr vs DigitalOcean - GPU Provider Comparison (April 2026)
Head-to-head comparison of Vultr and DigitalOcean. Compare GPU models, hourly pricing, billing granularity, spot instances, VRAM, infrastructure, developer tools, Kubernetes support, and compliance before choosing a provider. Data refreshed April 2026.
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Vultr
High-performance cloud GPU across 32 global regions
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DigitalOcean
Simple, scalable GPU cloud for AI/ML
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|---|---|---|
| Overview | ||
| Trustpilot Rating | 1.8 | 4.6 |
| Headquarters | United States | United States |
| Provider Type | Multi-Cloud | N/A |
| Best For | AI training inference video rendering HPC Stable Diffusion game development generative AI fine-tuning research | AI training inference fine-tuning LLM deployment LLM serving computer vision startups generative AI research |
| GPU Hardware | ||
| GPU Models | A16 A40 L40S A100 PCIe GH200 A100 SXM H100 SXM B200 B300 MI300X MI325X MI355X | RTX 4000 Ada RTX 6000 Ada L40S MI300X H100 SXM H200 |
| Max VRAM (GB) | 288 | 192 |
| Max GPUs/Instance | 16 | 8 |
| Interconnect | NVLink | NVLink |
| Pricing | ||
| Starting Price ($/hr) | $0.47/hr | $0.76/hr |
| Billing Granularity | Per-hour | Per-second |
| Spot/Preemptible | Yes | No |
| Reserved Discounts | N/A | N/A |
| Free Credits | Up to $300 free credit for 30 days | $200 free credit for 60 days |
| Egress Fees | Standard (varies by plan) | None (included in plan) |
| Storage | 350 GB - 61 TB NVMe (included), Block Storage at $0.10/GB/mo, S3-compatible Object Storage | 500-720 GiB NVMe boot (included), 5 TiB NVMe scratch on larger configs, Volumes at $0.10/GiB/mo |
| Infrastructure | ||
| Regions | 32 regions across 6 continents (Americas, Europe, Asia, Australia, Africa) | New York (NYC2), Toronto (TOR1), Atlanta (ATL1), Richmond (RIC1), Amsterdam (AMS3) |
| Uptime SLA | 100% | 99% |
| Developer Experience | ||
| Frameworks | PyTorch TensorFlow CUDA cuDNN ROCm Hugging Face NVIDIA NGC | PyTorch TensorFlow Jupyter Miniconda CUDA ROCm Hugging Face |
| Docker Support | Yes | Yes |
| SSH Access | Yes | Yes |
| Jupyter Notebooks | Yes | Yes |
| API / CLI | Yes | Yes |
| Setup Time | Minutes | Minutes |
| Kubernetes Support | Yes | Yes |
| Business Terms | ||
| Min Commitment | None | None |
| Compliance | SOC 2+ (HIPAA) PCI ISO 27001 ISO 27017 ISO 27018 ISO 20000-1 CSA STAR Level 1 | SOC 2 Type II SOC 3 HIPAA (with BAA) CSA STAR Level 1 |
Vultr
DigitalOcean