IBM Storage for AI
IBM AI Fabric
High-performance storage designed for AI and Machine Learning workloads. Accelerate model training without infrastructure limitations.
100+ GB/s
Throughput
1000+
GPU/TPU in parallel
<200μs
Latency
EB
Exabyte scale
IBM AI Fabric Capabilities
Storage infrastructure optimized for the most demanding AI workloads.
Distributed AI Training
Scale AI models across hundreds of GPUs and TPUs without storage limitations.
Unified Data Layer
Unified data access from multiple sources for AI workloads.
High-Performance NFS
NVMe-oF performance for ML frameworks like PyTorch and TensorFlow.
Multi-Cloud Ready
Works in datacenter, at edge, and in public cloud.
Use Cases
- Large Language Models (LLM) - GPT, BERT, LLaMA
- Computer Vision and image processing
- Predictive analytics and forecasting
- Generative AI and diffusion models
- Reinforcement Learning
- MLOps and CI/CD for AI models
Integrations
IBM AI Fabric integrates with popular AI/ML frameworks:
PyTorch
TensorFlow
Kubernetes
NVIDIA GPU
Want to Reduce IT Risk and Costs?
Book a free consultation - we respond within 24h
Response in 24h Free quote No obligations
Or download free guide:
Download NIS2 Checklist