Accelerate your AI initiatives using F5 VELOS

Demo Video
High-Throughput and Concurrency for AI Data Ingestion
Performance and Security for AI Workloads
Load Balancing for S3 AI Training Data Replication
Tiered Storage S3 AI Training Data Replication
BIG-IP Best-In-Class Traffic Management & Security: SPEED
BIG-IP Best-In-Class Traffic Management & Security: SCALE
BIG-IP Best-In-Class Traffic Management & Security: Security
F5 Systems Enables Accelerated AI Application Delivery
Conclusion
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High-Throughput and Concurrency for AI Data Ingestion

Given the escalating data demands of AI training and inference pipelines, there is a critical need to architect object-based storage systems, such as S3, and corresponding clients in a manner that ensures high-throughput, scalability, and fault tolerance under massive parallel workloads.

S3 Storage Systems increase scalability and resiliency by distributing data objects across multiple storage nodes, leveraging a unified “bucket” abstraction to streamline data organization, access, and fault tolerance.

S3 Client Implementations employ highly parallelized, and multi-threaded operations to maximize data transfer rates and throughput, satisfying the low-latency, high-volume requirements of AI and other computationally intensive workloads.

Performance and Security for AI Workloads

F5 BIG-IP delivers multi-layer load balancing reinforced by robust in-flight security services and performance thresholds engineered to meet or exceed the most demanding enterprise-scale capacity requirements.

F5 VELOS Chassis & Blades have advanced FPGA accelerators, high-performance CPU architectures, and cryptographic offload engines. They are all combined with scaling to multi-terabit throughput to meet or exceed the most demanding enterprise capacity requirements.

F5 BIG-IP and VELOS enable high-performance data mobility and security for AI workloads anywhere.

Load Balancing for S3 AI Training Data Replication

Data Replication for Training

AI model training and retraining often requires the replication of data from web-service-based object storage tiers to high-performance clustered filesystems.

Market Constraints

Tier-1 storage systems command high costs, and the ecosystem of certified providers for AI-specific architectures remains comparatively narrow.

High-Performance Requirements

Effective model training demands access to Tier-1 storage that supports hardware-accelerated data transfers, ensuring rapid delivery of input to GPU memory.

S3 Based Migration

Replication from cost-efficient, lower-performance storage repositories to Tier 1 infrastructure is commonly orchestrated via the S3 protocol to maintain both scalability and performance.