Products/GPU Compute

GPU Compute for AI at EU Scale

High-performance NVIDIA GPUs on sovereign infrastructure. Train, infer, research. No US cloud dependency.

Get StartedView Pricing

What You Get

Unit-based GPU allocation. Pay for compute hours you actually use. No provisioning wasted capacity.

Key Differentiator: Unlike AWS (which sells full H100s at €3.80/hour), we sell fractional GPU access at €1/hour. Same performance. 60-75% cheaper.

Specifications

Hardware

  • NVIDIA H100 & A100 GPUs
  • 80GB HBM3 memory per card
  • NVLink interconnect for multi-GPU
  • Tenstorrent AI nodes available

Access Methods

  • SSH terminal access
  • Jupyter notebooks
  • Custom scripts (Python, CUDA)
  • REST API

Performance

  • Sub-second latency
  • 99.92% uptime SLA
  • Auto-scaling across nodes
  • Persistent storage integration

Billing

  • €1/hour per GPU
  • Sub-hourly billing (15-min)
  • No setup fees
  • No long-term contracts

Use Cases

AI Model Training

Train LLMs, vision models, transformer networks at scale. Pay by the hour. Scale down when done.

Inference & Deployment

Run inference servers for production ML workloads. On-demand or reserved capacity.

Research & Academia

GPU-intensive research without institutional capex. Pay per experiment.

Data Science Development

Jupyter notebooks with instant GPU access. Experiment, iterate, scale.

Getting Started

1

Sign Up

Create account. Verify email. Add payment method. 5 minutes.

2

Launch

bifrost compute launch \
--gpu 4 \
--hours 24 \
--memory 80GB
3

Connect

Get SSH credentials. SSH into instance. Start computing.

Code Examples

Python with CUDA
import torch
from bifrost_sdk import GPUCompute

# Launch 4x H100 GPUs
compute = GPUCompute(gpus=4, gpu_type='H100')

# Train model
model = torch.load('my_model.pt').cuda()
output = model(input_data)
Jupyter Notebook
bifrost jupyter launch --gpus 2 --port 8888

# Opens Jupyter with 2x GPUs attached
# Code runs on GPU automatically

Pricing

Hourly Rate

€1.00

per GPU hour

Example Workload

4x H100s for 24 hours€96
vs AWS (4 × €3.80 × 24)€364.80
Your Savings73%

What's Included

  • Compute time
  • Data transfer (first 5TB/month)
  • Storage (temporary disk)
  • Support via email

Optional Add-ons

  • Additional storage: €6/TB/month
  • Premium support: Contact sales
  • Reserved capacity: 20-30% discount

Comparison

FeatureBifrostAWSAzure
H100/hour€1.00€3.80€3.50
DeploymentInstantInstantInstant
EU Data—Partial
GDPR Ready—Partial
AI Act Compliant—Partial
Fractional GPUs——
Auto-scaling

FAQ

What GPUs do you offer?

NVIDIA H100, A100, and L40S. Tenstorrent nodes for some workloads. Instances scale from 1-16 GPUs.

Can I use any CUDA framework?

Yes. PyTorch, TensorFlow, JAX, CUDA directly. All supported.

What's your uptime?

99.92% SLA. No hidden downtime. Transparent status page.

Can I use reserved capacity?

Yes. Reserve GPUs monthly at 20-30% discount.

How do you handle multi-GPU training?

NVLink interconnect for 2-8 GPU clusters. Custom networking for larger setups.

What about data residency?

All data in EU data centers. GDPR compliant. No cross-border transfers.

Next Steps

Documentation

Full GPU API ReferenceQuickstart GuideCode Examples

Contact

SalesSupport