Deploy Workload

Model Training

Full training runs on custom datasets — highest-value, long-running jobs.

40+ GB VRAM

Fine-tuning

LoRA, QLoRA, and instruction-tuning on foundation models.

24+ GB VRAM

Embeddings

Vectorize documents, images, or code for RAG and semantic search.

8+ GB VRAM

3D Rendering

GPU render farms for Blender, Unreal, and Cinema 4D scene batches.

0+ GB VRAM

Image Generation

Stable Diffusion, FLUX, and ControlNet batch pipelines.

12+ GB VRAM

Video & Upscaling

AI video generation, frame interpolation, and 4K upscaling.

24+ GB VRAM

Data Pipeline

GPU-accelerated ETL, RAPIDS feature engineering, and ML preprocessing.

8+ GB VRAM

Python Script

Run any Python script. Upload your .py file and get logs + outputs back.

0+ GB VRAM

Python (GPU)

Python + PyTorch CUDA runtime for GPU workloads.

4+ GB VRAM