What is STACKIT Compute Engine GPU?
STACKIT Compute Engine GPU provides high-performance GPU-accelerated virtual machines for AI training, ML inference, and high-performance computing. The machine type documentation for the EU01 region lists three GPU families: n1 with NVIDIA A100 80 GB, n2 with NVIDIA L40S 48 GB, and n3.104d.g8 with eight NVIDIA H100 HGX 80 GB. All GPU instances run in German data centers.
Core Features
- n3.104d.g8: eight NVIDIA H100 HGX GPUs with 80 GB each, 104 vCPU, 1,900 GB RAM, and a 1,536 GB local disk for very large models
- n1 (A100 80 GB): n1.14d.g1, n1.28d.g2, and n1.56d.g4 with one, two, or four GPUs for training, inference, and data analysis
- n2 (L40S 48 GB): n2.14d.g1, n2.28d.g2, and n2.56d.g4 with one, two, or four GPUs for generative AI, inference, and rendering/3D graphics
- Flexible scaling from 1 to 8 GPUs depending on the flavor family
- Per documentation: GPU machine types are not Windows Server compatible and do not support live migration (maintenance requires a brief disruption)
Typical Use Cases
AI model training: Training and fine-tuning large language models with multi-GPU setups on H100 or A100 instances.
ML inference: Production deployments of inference workloads on A100 (n1) or L40S (n2) instances.
3D rendering and graphics: GPU-accelerated rendering workloads on L40S instances.
High performance computing: Scientific simulations and data analysis on A100 or H100 instances.
Benefits
- Training data stays GDPR-compliant in Germany
- Current NVIDIA GPU generations (Hopper, Ampere, Ada Lovelace)
- Flexible hourly pay-per-use billing
- Scaling from single GPU to multi-GPU clusters
Integration with innFactory
As an official STACKIT partner, innFactory supports you with GPU computing: architecture, selecting the right GPU class, migration, operations, and cost optimization.
Available Tiers & Options
NVIDIA L40S
- 48 GB GDDR6
- Generative AI, training, inference
- Rendering and 3D graphics
- Less memory than H100/A100 for very large models
NVIDIA A100 PCIe
- 80 GB HBM2e
- Training, inference, data analysis
- 1-4 GPUs per instance
- Lower throughput than H100 for very large models
NVIDIA H100 HGX (n3)
- 80 GB HBM3 per GPU
- 8 GPUs per instance (n3.104d.g8) for very large models
- 104 vCPU, 1,900 GB RAM, and a 1,536 GB local disk
- Higher cost than A100/L40S
Typical Use Cases
Technical Specifications
Frequently Asked Questions
Which GPU models are currently available?
The machine type documentation for the EU01 region lists three GPU families: n1 with NVIDIA A100 80 GB (1, 2, or 4 GPUs), n2 with NVIDIA L40S 48 GB (1, 2, or 4 GPUs), and n3.104d.g8 with eight NVIDIA H100 HGX 80 GB.
Which GPU is best suited for which use case?
H100 HGX (n3) is suited for very large models, training, and HPC. A100 (n1) is suited for training, inference, and data analysis. L40S (n2) is additionally suited for generative AI as well as rendering and 3D graphics.
Can I use multiple GPUs in one instance?
Yes. The n3.104d.g8 flavor provides eight H100 HGX GPUs; the n1 (A100) and n2 (L40S) families are available with one, two, or four GPUs per instance.
What compliance applies to AI training on STACKIT?
The instances run exclusively in German data centers. Training data stays within the EU.
How is billing handled?
Billing is usage-based with hourly billing (pay-per-use). Current prices are available in the STACKIT pricing calculator.
Are there any limitations on GPU instances?
Yes. Per the documentation, GPU machine types do not support Windows Server or live migration, so hypervisor maintenance requires a brief disruption to the instance. The n1.56d.g4 flavor is also only available by requesting it via a Help Center ticket.
Note: All product information on this page has been compiled with care, but is provided without guarantee and may be outdated or incomplete. Cloud services evolve rapidly — features, pricing, SLAs, and availability change frequently. Authoritative and up-to-date information can only be found on the official product page of STACKIT (official documentation). This page does not represent an offer by STACKIT.
