Fluidstack is an AI cloud platform specializing in providing high-performance computing resources for AI and machine learning workloads. It offers on-demand access to thousands of NVIDIA GPUs, including H100s, H200s, and A100s, catering to both training and inference needs.
Key Features:
- GPU Clusters: Deploy large-scale GPU clusters (4,096+ GPUs) in a short timeframe (two days), featuring NVIDIA's latest GPUs, 1PB+ shared storage, and 3.2T InfiniBand.
- Managed Infrastructure: Fully managed infrastructure with Slurm and Kubernetes support, allowing users to focus on model development rather than infrastructure management.
- High Availability: Offers industry-leading availability with 24/7 support, 15-minute response times, and a 99% uptime guarantee.
- On-Demand Instances: Launch GPU instances in under 5 minutes and scale to hundreds of GPUs on-demand.
- Cost Savings: Claims to offer up to 70% cost savings compared to hyperscalers.
Use Cases:
- AI Training: Ideal for training large foundation models with access to high GPU counts and fast interconnects.
- Inference: Supports scalable inference deployments with on-demand GPU instances.
- ML Research: Provides researchers with the necessary compute resources to accelerate their experiments.
- AI Startups and Enterprises: Caters to both startups and enterprises requiring scalable and managed GPU infrastructure.
