Train LLMs, foundation models, and deep learning systems on GPU containers, VMs, or bare metal. Choose your hardware, provider, and region with transparent pricing and zero egress fees.
Available GPUs for AI training
Choose how you want to train AI models
GPU Containers
• Reproducible environments
• Fast experiment setup
• Packaged training jobs
Bare Metal
• Dedicated GPU capacity
• Full hardware control
• Large distributed runs
What you can train on Fluence AI compute
Train LLMs and foundation models from scratch or continue pretraining with your own datasets and framework.
Best fit: VMs / Bare Metal
Scale data-parallel, tensor-parallel, pipeline-parallel, or sharded training across multiple GPUs.
Best fit: VMs / Bare Metal
Train computer vision, diffusion, video, audio, and vision-language models with your own datasets.
Best fit: Containers / VMs
Train policies through simulation and repeated optimization across GPU-accelerated environments.
Best fit: VMs / Bare Metal
Top-tier hardware at best-in-class locations
Train on high-performance GPU infrastructure across Tier 3 and Tier 4 data centers. Review the provider, region, hardware configuration, and available compliance information before deployment.
FAQ
Start training AI models on Fluence GPUs
Bring your datasets, code, and training stack. Choose containers, VMs, or bare metal with transparent pricing, zero egress fees, and no hyperscaler lock-in.
