Amax Engineering

AI Factory Storage

Support model training, checkpointing, inference, RAG, vector search, and long-term data retention with validated AI storage architectures.

High-Performance Data Infrastructure for AI Workloads

AMAX designs and validates AI storage architectures that keep GPUs fed with data across training, inference, RAG, vision, simulation, and agentic AI workloads. From high-density storage platforms to AI-native file systems and parallel storage, AMAX helps customers match the right storage solution to their AI Factory architecture.

Storage is the Data Foundation of the AI Factory

AI Factory performance depends on more than GPU compute. Training, inference, RAG, and multimodal AI require fast access to large datasets, checkpoints, embeddings, vector stores, model weights, and high-volume data pipelines.

Data Sources

Enterprise data, images, documents, sensors, and applications

Storage Layer

High-performance storage and AI-ready data platforms

AI Data Pipeline

Data processing, orchestration, and model preparation

GPU Cluster

Accelerated computing for training and inference

AI Workloads

Training, RAG, vision, simulation, and agentic AI

Software Defined Storage

WEKA

AI-native Data Platform

WEKA delivers a software-defined data platform built for AI pipelines, hybrid cloud deployments, and high-performance access across training, inference, and RAG workloads.


Best For
  • Retrieval-Augmented Generation (RAG)
  • Inference Pipelines
  • Hybrid Cloud AI
  • Agentic AI Workloads
  • Multi-tenant AI Platforms
Parallel Storage

DDN

AI Training & HPC Storage

DDN provides high-throughput storage engineered for AI training, HPC, and data-intensive environments where GPUs demand fast, consistent data access.


Best For
  • Large-scale Model Training
  • Checkpoint-intensive Workloads
  • HPC & Scientific AI
  • Multi-node GPU Clusters
  • High-throughput AI Pipelines
Universal Storage

VAST Data

Universal AI Data Platform

VAST Data provides a unified AI data platform that combines high-performance file and object storage for training, inference, RAG, and enterprise AI workloads.


Best For
  • Enterprise AI platforms
  • Large unstructured data repositories
  • RAG and vector database workflows
  • Multi-protocol file and object storage
  • Hybrid cloud AI

Validated Storage for Production AI

AMAX brings storage into the complete AI Factory architecture, validating performance across compute, networking, storage, software, and workload requirements.

AI storage architecture and sizing
Data pipeline planning
Network fabric validation
Storage throughput benchmarking
GPU-to-storage performance testing
Rack-scale deployment and commissioning
Expansion planning and lifecycle support
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