Introduction to Compute
fal Compute is a dedicated GPU cloud computing platform designed for high-performance computing workloads, machine learning training, and AI inference at scale. Unlike serverless options, Compute gives you full control over your GPU resources with enterprise-grade infrastructure designed for demanding AI and research workloads.
What is fal Compute?
fal Compute provides dedicated GPU clusters built for heavy workloads that require consistent, high-performance infrastructure. Our platform offers custom-optimized infrastructure with advanced networking capabilities, high-speed storage, and guaranteed resource availability for research applications.
Key Features
Dedicated GPU Resources
- Full GPU control: Complete control over your GPU resources for fine-tuning, training, and specialized workflows
- Dedicated clusters: Plan and manage your own capacity with guaranteed resource availability
- Enterprise-grade: Designed for production workloads with enterprise security and compliance features
High-Performance Infrastructure
- Custom-optimized infrastructure: Infrastructure tailored to your specific workload requirements
- High-speed SSD storage: Fast data access for training datasets, efficient model loading, and low-latency I/O operations
- InfiniBand interconnect: Ultra-low latency and high bandwidth communication for distributed computing
Scalability & Performance
- Heavy workload support: Built specifically for compute-intensive tasks that require sustained performance
- Multi-node clusters: Deploy multiple instances within the same sector for distributed workloads
- Scalable architecture: Scale your workloads across multiple interconnected instances
Available Instance Types
| Instance Type | CPU Cores | RAM | GPU VRAM | Storage |
|---|---|---|---|---|
| 1xH100-SXM | 16 | 200GB | 80GB (1x H100) | 1TB SSD |
| 8xH100-SXM | 128 | 1600GB | 640GB (8x H100) | 8TB SSD |
When to Use fal Compute
fal Compute is ideal for workloads that require:
Machine Learning & AI
- Large language model training: Train models with billions of parameters across multiple GPUs
- Custom model fine-tuning: Dedicated resources for specialized model adaptation
- Distributed training: Leverage InfiniBand connectivity for faster multi-node training
- Batch inference: Large-scale inference jobs with predictable resource needs
Research & Development
- Academic research: Sustained compute access for research projects
- Computer vision: Process large image and video datasets
- Scientific computing: Computational fluid dynamics, molecular dynamics, simulations
Architecture Benefits
InfiniBand Connectivity
For distributed computing scenarios, fal Compute offers InfiniBand interconnect that provides:
- Ultra-low latency communication between nodes
- High bandwidth for efficient data transfer
- Optimized performance for distributed AI training
- Seamless scaling across multiple instances
Enterprise Features
- Guaranteed resource availability with dedicated clusters
- Enterprise security and compliance capabilities
- Custom infrastructure optimization for specific workloads
- Professional support for production deployments
Ready to get started? Check out our Quickstart Guide to provision your first instance.