Compute Infrastructure

Node Requirements

AIAF's compute network will consist of professional GPU farms and decentralized nodes with specific requirements:

Hardware Specifications

Node Type
CPU
GPU
Memory
Storage
Network

Professional

32+ cores

A100/H100/equivalent

128GB+ RAM

2TB+ NVMe

10 Gbps+

Enterprise

16+ cores

RTX 4090/equivalent

64GB+ RAM

1TB+ NVMe

5 Gbps+

Community

8+ cores

RTX 3080/equivalent

32GB+ RAM

512GB+ SSD

1 Gbps+

Edge

4+ cores

Optional

16GB+ RAM

256GB+ SSD

100 Mbps+

Software Requirements

  • Operating System: Linux (Ubuntu 20.04+, RHEL 8+)

  • Runtime Environment: CUDA 11.7+, cuDNN 8.5+

  • Container Support: Docker, Kubernetes

  • Security Software: Secure enclave support, encryption

  • Monitoring Tools: Node exporter, GPU metrics

Deployment Options

  • Bare Metal: Direct hardware access for maximum performance

  • Virtual Machines: Isolation with near-native performance

  • Containers: Portable, scalable deployments

  • Hybrid: Combination of deployment models

SLA Specifications

AIAF will provide Service Level Agreements (SLAs) for different compute tiers:

SLA Metrics

Tier
Availability
Max Latency
Throughput
Support

Basic

99.0%

Best effort

Limited

Community

Standard

99.9%

<5s

Medium

Email (24h)

Premium

99.95%

<1s

High

Email (8h)

Enterprise

99.99%

<500ms

Unlimited

24/7 Phone

Performance Guarantees

  • Availability: Uptime commitment

  • Latency: Response time guarantees

  • Throughput: Number of requests per time period

  • Error Rate: Maximum percentage of failed requests

  • Data Durability: Guarantee against data loss

Monitoring and Reporting

  • Real-time Dashboards: Current performance metrics

  • Historical Analytics: Performance trends over time

  • Alert Systems: Notification for SLA violations

  • Regular Reports: Scheduled performance summaries

Scaling Mechanisms

AIAF will implement multiple scaling mechanisms to handle varying loads:

Scaling Approaches

  • Vertical Scaling: Increase resources on existing nodes

  • Horizontal Scaling: Add more nodes to the network

  • Auto Scaling: Dynamically adjust based on demand

  • Predictive Scaling: Pre-allocate resources based on patterns

Scaling Metrics

  • CPU Utilization: Percentage of processing capacity used

  • Memory Usage: RAM consumption patterns

  • Request Queue: Backlog of pending requests

  • Response Time: Time to process and return results

  • Error Rate: Failed requests as percentage of total

Geographic Distribution

AIAF's compute network will be globally distributed for performance and reliability:

Regional Deployment

  • Primary Regions: North America, Europe, Asia Pacific

  • Secondary Regions: South America, Middle East, Africa

  • Edge Locations: Distributed points of presence (PoPs)

  • Data Centers: Strategic facility locations

Distribution Benefits

  • Reduced Latency: Proximity to end users

  • Regulatory Compliance: Meeting data residency requirements

  • Disaster Recovery: Geographic redundancy

  • Load Distribution: Regional traffic management

  • Cost Optimization: Efficient resource allocation