UltiHash documentation
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  • Get started with UltiHash
  • About UltiHash
    • Introduction
    • Features
      • Built-in deduplication
      • S3-compatible API
      • Cloud + on-prem with Kubernetes
      • Fast + lightweight deletion
      • Erasure coding for data resiliency
      • Access management
    • Benchmarks
  • Installation
    • Test installation
    • Kubernetes installation
    • AWS installation
    • System requirements
  • Connection
    • API use
    • Integrations
      • Featured: SuperAnnotate
      • Airflow
      • AWS Glue
      • Iceberg
      • Icechunk
      • Kafka
      • Neo4j
      • Presto
      • PySpark
      • PyTorch
      • Trino
      • Vector databases
    • Upload + download scripts
    • Pre-signed URLs
    • Data migration
  • Administration
    • Scaling, updates + secrets
    • Performance optimization
    • User and policy management
    • Advanced configuration
    • Encryption
  • Changelog
    • Core image
    • Helm chart
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  1. About UltiHash
  2. Features

Data caching for enhanced read speed

FEATURE COMING SOON

UltiHash is optimized to support high-throughput, low-latency operations, making it a strong foundation for AI and advanced analytics workloads. One of its key features is a read cache that reduces the need to access underlying storage repeatedly. This caching mechanism enables users to run simultaneous read operations with minimal latency, enhancing overall system performance.

By frequently caching read data, multiple applications can access the same data concurrently without generating additional requests. This ensures faster data retrieval and more efficient use of resources, making UltiHash ideal for data-intensive environments.

As a software-defined storage solution, UltiHash gives users full control over hardware resources and can be tailored to specific infrastructure needs. Whether deployed in cloud or on-premises environments, UltiHash offers high performance and scalability without compromising on speed, making it well-suited for AI, machine learning, and large-scale analytics operations.

Last updated 6 months ago

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