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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Hammerspace innovatively leverages the local NVMe storage embedded within GPU servers, converting it into a high-performance, shared storage tier designed specifically for large-scale AI training and checkpointing workloads. This approach eliminates bottlenecks inherent in legacy storage systems that struggle to keep GPUs fully utilized, while significantly reducing power consumption and external storage expenses. The platform’s parallel file system architecture supports massive scalability, allowing data to be served simultaneously to thousands of GPU nodes with minimal latency. Hammerspace integrates seamlessly with existing Linux storage servers and supports hybrid cloud environments, enabling data orchestration between on-premises and cloud infrastructure. It delivers record-setting performance validated by MLPerf benchmarks, proving its efficiency for demanding machine learning workloads. Customers such as Meta and Los Alamos National Laboratory trust Hammerspace to optimize their AI data pipelines and infrastructure investments. With quick setup and intuitive management, Hammerspace helps organizations accelerate AI projects while reducing operational complexity. By transforming underutilized storage into a powerful resource, Hammerspace drives cost savings and faster innovation.

Description

Excelero offers a low-latency distributed block storage solution tailored for web-scale applications. With NVMesh, users can access shared NVMe technology over any network while maintaining compatibility with both local and distributed file systems. The platform includes a sophisticated management layer that abstracts the underlying hardware, supports CPU offload, and facilitates the creation of logical volumes with built-in redundancy, all while providing centralized management and monitoring capabilities. This allows applications to leverage the speed, throughput, and IOPS of local NVMe devices combined with the benefits of centralized storage, all without being tied to proprietary hardware, ultimately lowering the total cost of ownership for storage. Additionally, NVMesh's distributed block layer empowers unmodified applications to tap into pooled NVMe storage resources, achieving performance levels comparable to local access. Moreover, users can dynamically create arbitrary block volumes that can be accessed by any host equipped with the NVMesh block client, enhancing flexibility and scalability in storage deployments. This innovative approach not only optimizes resource utilization but also simplifies management across diverse infrastructures.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) Yes 
AutoSys Workload Automation No 
Azure Marketplace Yes 
DedicatedCore No 
Google Cloud Platform Yes 
Hadoop No 
Kubernetes No 
LawCruit No 
Microsoft Azure Yes 
MongoDB No 
MySQL No 
NVIDIA DRIVE No 
Netdata No 
QxStor No 
SAP HANA No 
SAS Analytics for IoT No 
Samsung Pay No 
Splunk Cloud Platform No 
StarWind HyperConverged Appliance No 

Integrations

Amazon Web Services (AWS) No 
AutoSys Workload Automation Yes 
Azure Marketplace No 
DedicatedCore Yes 
Google Cloud Platform No 
Hadoop Yes 
Kubernetes Yes 
LawCruit Yes 
Microsoft Azure No 
MongoDB Yes 
MySQL Yes 
NVIDIA DRIVE Yes 
Netdata Yes 
QxStor Yes 
SAP HANA Yes 
SAS Analytics for IoT Yes 
Samsung Pay Yes 
Splunk Cloud Platform Yes 
StarWind HyperConverged Appliance Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Hammerspace

Founded

2018

Country

United States

Website

hammerspace.com

Vendor Details

Company Name

Excelero

Founded

2014

Country

United States

Website

www.excelero.com/product/nvmesh/

Product Features

Data Management

Customer Data No 
Data Analysis No 
Data Capture No 
Data Integration No 
Data Migration No 
Data Quality Control No 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge No 

Disaster Recovery

Administration Policies No 
Bare-Metal Recovery No 
Encryption No 
Failover Testing No 
Flexible Data Capture No 
Multi-Platform Support No 
Multiple Data Type Support No 
Offline Storage No 

Product Features

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