Exla FLOPs

Product Introduction

1. Exla FLOPs is an on-demand GPU cluster service that enables users to deploy large-scale GPU clusters (64, 128+ GPUs) instantly without waitlists or long-term commitments. It provides access to NVIDIA A100-80GB GPUs in multi-node configurations, managed through a command-line interface or web dashboard.
2. The core value of Exla FLOPs lies in its ability to eliminate infrastructure delays for compute-intensive workloads, offering per-minute billing and immediate scalability for AI training, rendering, or high-performance computing tasks.

Main Features

1. Exla FLOPs delivers instant cluster provisioning, allowing users to spin up GPU clusters within minutes through automated node deployment and pre-configured networking. Clusters include head nodes with public IPs (e.g., 10.19.87.146:29500) and worker nodes with dedicated high-speed interconnects.
2. The service employs per-minute billing with no upfront costs, enabling cost-efficient usage for short-term experiments or burst workloads. Users can monitor real-time GPU metrics like utilization (97%), VRAM allocation (73/80 GB), and node roles (MASTER/WORKER) via terminal commands.
3. Users can mix GPU types within clusters, combining NVIDIA A100-80GB variants (SXM4) with other architectures, and scale from 16 GPUs (2 nodes) to 128+ GPUs dynamically. Cluster configurations include automated load balancing and failover mechanisms.

Problems Solved

1. Exla FLOPs addresses the industry-wide shortage of accessible large-scale GPU resources, eliminating wait times for cloud provider approvals or hardware procurement cycles. Traditional delays of hours/days are reduced to sub-5-minute deployments.
2. The product targets AI research teams, autonomous system developers, and enterprises requiring urgent distributed computing capacity for tasks like LLM training or real-time simulation.
3. Typical use cases include distributed model training across 16+ GPUs, rendering farms for 3D animation, and emergency scaling for computational biology projects requiring immediate parallel processing.

Unique Advantages

1. Unlike conventional cloud providers, Exla FLOPs guarantees immediate access to 64+ GPU clusters without reservation requirements, using bare-metal nodes instead of virtualized instances for consistent performance.
2. The platform uniquely supports hybrid GPU configurations within a single cluster, enabling users to combine A100-80GB cards with other NVIDIA architectures for specialized workload optimization.
3. Competitive advantages include dedicated node roles (MASTER/WORKER) for task orchestration, real-time cluster health monitoring via terminal commands, and fixed IP assignments (e.g., 10.19.93.135) for stable network configurations.

Frequently Asked Questions (FAQ)

1. How quickly can I launch a GPU cluster? Clusters deploy in under 5 minutes through automated node provisioning, with head nodes accessible via SSH (e.g., exla@gpu-cluster) and worker nodes pre-configured for distributed workloads.
2. What is the billing granularity? Resources are billed per minute, with no charges for idle time between cluster termination and re-launch. Users pay only for active compute cycles.
3. Can I customize GPU types in a cluster? Yes, clusters support mixed GPU configurations, including NVIDIA A100-80GB (SXM4) and other architectures, selectable during cluster initialization via command-line parameters.
4. Are there limits to cluster size? No hard limits exist—users can scale from 16 GPUs (2 nodes) to 128+ GPUs based on project requirements, with automated node discovery and networking.
5. How is data security handled? All nodes operate in isolated VLANs, with encrypted storage volumes and ephemeral data policies that wipe drives immediately after cluster termination.