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Ratings and Reviews 0 Ratings
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What is MayaScale?
Develop a comprehensive NVMe over Fabrics shared storage solution using MayaScale that facilitates the incorporation of directly attached NVMe resources into a cohesive storage pool. This system allows for dynamic allocation of NVMe namespaces to clients seeking superior performance with low latency. After their requirements are met, clients can easily return NVMe storage to the collective pool, effectively addressing the common challenges of over-provisioning and wasted NVMe resources often seen in direct-attached architectures. The architecture is network-agnostic, utilizing RDMA for on-premises setups and standard TCP for cloud-based environments, which enhances its adaptability. Clients are able to connect to genuine NVMe devices through a standard NVMe driver stack, eliminating the necessity for proprietary drivers. Configuring and deploying an NVMe over Fabrics SAN infrastructure at rack scale in a data center can be accomplished by integrating various NVMe devices through RDMA-compatible links, such as ROCE, iWARP, or Infiniband. Moreover, in public cloud scenarios, users can take advantage of NVMe over Fabrics via the conventional TCP/IP protocol, removing the need for specific RDMA hardware or SRIOV virtualization. This forward-thinking approach not only maximizes resource efficiency but also ensures consistent high performance across different deployment landscapes, making it a versatile choice for modern storage solutions. Ultimately, this innovative design paves the way for improved scalability and flexibility in data management strategies.
What is Hammerspace?
Hammerspace is an innovative storage solution that unlocks the vast amounts of fast local NVMe storage inside GPU servers, turning what was previously stranded capacity into a new ultra-fast storage tier that accelerates AI training and checkpointing. Designed to overcome the limitations of expensive and complex legacy storage systems, Hammerspace enables consistently high GPU utilization by providing low-latency, parallel access to data across thousands of servers simultaneously. The platform’s global data architecture is built on standard NFS protocols, eliminating the need for proprietary clients and simplifying integration with existing Linux storage servers and hybrid cloud environments. By orchestrating data movement between on-premises and cloud infrastructure, Hammerspace supports flexible AI workflows that maximize resource usage and minimize power consumption. Hammerspace has been proven through MLPerf benchmarks to deliver scalable, linear performance gains, dramatically speeding up checkpointing times by 10 to 100 times. Trusted by industry leaders like Meta and Los Alamos National Laboratory, it helps reduce external storage costs, power usage, and rack space requirements. The platform’s intuitive interface and rapid deployment allow organizations to bring petabytes of capacity online within days and start accelerating AI workloads immediately. Its hyperscale NAS architecture ensures consistent throughput and low latency at scale, critical for large machine learning projects. By transforming idle GPU server storage into a shared, protected resource, Hammerspace redefines cost efficiency and performance in AI infrastructure. This technology empowers data-driven organizations to innovate faster, reduce their energy footprint, and optimize their AI investment returns.
Integrations Supported
Google Cloud Platform
Microsoft Azure
AWS Marketplace
Amazon
Amazon RDS
Amazon Web Services (AWS)
Azure Marketplace
MongoDB
MySQL Workbench
Oracle Cloud Infrastructure FastConnect
Integrations Supported
Google Cloud Platform
Microsoft Azure
AWS Marketplace
Amazon
Amazon RDS
Amazon Web Services (AWS)
Azure Marketplace
MongoDB
MySQL Workbench
Oracle Cloud Infrastructure FastConnect
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
ZettaLane Systems
Date Founded
2018
Company Website
www.zettalane.com/maya-nvmeof-linux-rdma-tcp.html
Company Facts
Organization Name
Hammerspace
Date Founded
2018
Company Location
United States
Company Website
hammerspace.com
Categories and Features
Categories and Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Disaster Recovery
Administration Policies
Bare-Metal Recovery
Encryption
Failover Testing
Flexible Data Capture
Multi-Platform Support
Multiple Data Type Support
Offline Storage