Infrastructure

Unlock the full potential of GPU-accelerated machine learning with our versatile training platform. Use our powerful infrastructure to train a variety of models, including:

• Cutting-edge large language models (LLMs) and transformers
• Innovative foundation, frontier and world models
• State-of-the-art diffusion and generative AI models
• Advanced multimodal models integrating text, image and audio
• Sophisticated reinforcement learning and decision-making models
• Highly accurate computer vision and image recognition models
• Complex natural language processing (NLP) and understanding models
• Efficient recommender systems and collaborative filtering models
• Precise time series forecasting and predictive analytics models
• Customized deep learning architectures tailored to your specific needs

Whether you are working on next-generation AI research or developing enterprise-grade ML solutions, our platform supports your most demanding GPU training workloads. From BERT and GPT to DALL-E and stable diffusion, from ResNet to YOLO, and everything in between – if it runs on GPUs, you can train it here.

Yes, you can allocate compute usage for both inference and training as needed.

Yes, you can bring your own data. We offer two types of storage:

1. On-node storage
2. WEKA.IO storage across the cluster

Yes, GPU nodes are connected via true NVIDIA InfiniBand non-blocking fabric with peer-to-peer communication of up to 3.2Tb/s.