Friday, 10 Apr 2026
Subscribe
logo
  • Global
  • AI
  • Cloud Computing
  • Edge Computing
  • Security
  • Investment
  • Sustainability
  • More
    • Colocation
    • Quantum Computing
    • Regulation & Policy
    • Infrastructure
    • Power & Cooling
    • Design
    • Innovations
    • Blog
Font ResizerAa
Data Center NewsData Center News
Search
  • Global
  • AI
  • Cloud Computing
  • Edge Computing
  • Security
  • Investment
  • Sustainability
  • More
    • Colocation
    • Quantum Computing
    • Regulation & Policy
    • Infrastructure
    • Power & Cooling
    • Design
    • Innovations
    • Blog
Have an existing account? Sign In
Follow US
© 2022 Foxiz News Network. Ruby Design Company. All Rights Reserved.
Data Center News > Blog > Edge Computing > Hammerspace, SourceCode, and GigaIO partner to transform edge AI
Edge Computing

Hammerspace, SourceCode, and GigaIO partner to transform edge AI

Last updated: June 7, 2024 1:15 pm
Published June 7, 2024
Share
Hammerspace, SourceCode, and GigaIO partner to transform edge AI data processing
SHARE

Hammerspace has introduced an revolutionary leap ahead: its World Information Platform can now course of, retailer, and orchestrate information in edge compute environments, doubtlessly revolutionising information dealing with and AI capabilities on the edge.

This revolutionary resolution combines Gryf, the first-ever suitcase-sized AI supercomputer co-designed by SourceCode and GigaIO, with Hammerspace’s World Information Platform. This highly effective mixture brings unprecedented ranges of shared AI processing energy to any location, together with these working with restricted or no networking infrastructure.

The answer is extremely related to be used instances reminiscent of capturing giant map units and different forms of geospatial information in tactical edge environments for satellite tv for pc floor stations and pure catastrophe response. Moreover, it offers an efficient technique of quickly transporting and processing substantial quantities of information.

Earlier than this resolution, organisations confronted the dilemma of both sending information to an information centre for processing and evaluation or counting on edge environments constrained by the compute sources and storage capacities of non-GPU edge computing units, which supply restricted scalability. This method hindered the power to supply related outcomes on-site and was vastly impeded with out a information orchestration resolution to facilitate the motion of information to GPUs within the information centre.

As articulated by Tony Asaro, Chief Technique and Enterprise Improvement Officer for Hammerspace, “Our clients and companions constantly inform us that information orchestration is a prime precedence for his or her AI workloads. Our means to orchestrate information throughout distant information centres, clouds and edge environments transparently and on-line ensures that the information will get to GPU sources no matter its bodily location.”

See also  EY and Dell collaborate on edge computing initiative for data integration tasks

Asaro additional underscored that information orchestration might be a outstanding matter within the forthcoming 12 months and past, particularly in AI use instances.

Gryf, a key part of this revolutionary resolution, is a conveyable supercomputer in a ruggedised suitcase kind issue, enabling speedy AI processing of time-sensitive information within the area, additionally known as a cellular fly-away equipment. SourceCode and GigaIO introduced Gryf earlier this quarter, and it is going to be accessible within the third quarter of this 12 months.

Hammerspace can function on a single Gryf equipment, alongside different software program packages reminiscent of Cyber, geospatial, Kubernetes containerised purposes, and different AI analytics packages. Hammerspace’s standards-based parallel file system structure combines excessive parallel processing velocity with the simplicity of NFS, making it well-suited for ingesting and processing the substantial quantities of unstructured information generated by sensors, drones, satellites, cameras, and different units on the edge.

Notably, the complete potential of Hammerspace is unlocked when a number of Gryf home equipment are deployed throughout a distributed edge surroundings, enabling Hammerspace to interconnect a number of places right into a single World Information Platform. Hammerspace information orchestration companies facilitate the complete utilisation of all accessible GPU sources to speed up edge processing. This functionality is especially helpful for AI on the edge, the place constraints reminiscent of restricted {hardware}, bandwidth, and connectivity pose widespread challenges.

Hammerspace information orchestration additionally streamlines the motion and migration of information when Gryf home equipment are transported again to information facilities for extra information evaluation and long-term safety.

As aptly acknowledged by Matt Ritter, Vice President of Engineering at SourceCode, “GPUs are information hungry, posing a major problem when you will need to allow onsite perception throughout a number of units in a decentralised approach, and with presumably inconsistent connectivity. Hammerspace helps clear up this downside with environment friendly orchestration of distributed information and supercomputer-class information speeds. This additionally makes Gryf an excellent instance of the SourceCode co-design mannequin: seamlessly integrating best-of-breed applied sciences to unravel onerous issues for patrons.”

See also  Edgio partners with Eyeon Security to bolster edge security in South Korea

Alan Benjamin, CEO of GigaIO, echoed this sentiment, stating, “We’re excited to announce the mixing of Hammerspace’s file system with Gryf, marking a major leap ahead in our mission to drive edge AI capabilities. This partnership not solely enhances Gryf’s capabilities by leveraging Hammerspace’s World Information Platform but additionally units a brand new commonplace for information accessibility and orchestration from the sting.”

This revolutionary resolution has the potential to remodel information processing and AI capabilities on the edge, enabling organisations to unlock insights and drive innovation in even probably the most distant and difficult environments.

Wish to be taught extra about edge computing from business leaders? Try Edge Computing Expo going down in Amsterdam, California and London. 

Discover different upcoming enterprise expertise occasions and webinars powered by TechForge here.

Source link

TAGGED: edge, GigaIO, Hammerspace, Partner, SourceCode, transform
Share This Article
Twitter Email Copy Link Print
Previous Article NTN connectivity: Running IoT through the skies AICRAFT, Scanway Space to develop space technology for methane detection at the edge
Next Article Lighting the way for safer data centres Lighting the way for safer data centres
Leave a comment

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Your Trusted Source for Accurate and Timely Updates!

Our commitment to accuracy, impartiality, and delivering breaking news as it happens has earned us the trust of a vast audience. Stay ahead with real-time updates on the latest events, trends.
FacebookLike
TwitterFollow
InstagramFollow
YoutubeSubscribe
LinkedInFollow
MediumFollow
- Advertisement -
Ad image

Popular Posts

US to Fund ‘Digital Twin’ Projects for Chips With $285M | DCN

(Bloomberg) -- The Biden administration is opening purposes for $285 million in federal funding to…

May 6, 2024

Formlabs Acquires Micronics

Formlabs, a Somerville, MA-based firm which makes a speciality of 3D printing, acquired Micronics, a…

July 13, 2024

AI wars heat up: OpenAI’s SearchGPT takes on Google’s search dominance

Be part of our every day and weekly newsletters for the newest updates and unique…

July 28, 2024

How Heat Waves and AI Challenges Are Piling Pressure on Data Centers

The optimum temperature vary is an important issue within the environment friendly operation of an…

July 24, 2024

80% of US Internet Exchanges are now data centre and carrier neutral

The US is steadily shifting towards an information heart and provider impartial framework to assist…

October 15, 2024

You Might Also Like

Premio targets multi-camera edge AI with new Jetson Orin systems
Edge Computing

Premio targets multi-camera edge AI with new Jetson Orin systems

By saad
Hosted.ai raises $19M to tackle GPU underutilization and reshape AI infrastructure economics
Edge Computing

Hosted.ai raises $19M to tackle GPU underutilization and reshape AI infrastructure economics

By saad
NVIDIA and T-Mobile push AI-RAN to turn 5G networks into distributed edge compute platforms
Edge Computing

NVIDIA and T-Mobile push AI-RAN to turn 5G networks into distributed edge compute platforms

By saad
Nscale moves into power with AIPCorp deal, building 8GW U.S. AI campus to bypass energy bottlenecks
Edge Computing

Nscale moves into power with AIPCorp deal, building 8GW U.S. AI campus to bypass energy bottlenecks

By saad
Data Center News
Facebook Twitter Youtube Instagram Linkedin

About US

Data Center News: Stay informed on the pulse of data centers. Latest updates, tech trends, and industry insights—all in one place. Elevate your data infrastructure knowledge.

Top Categories
  • Global Market
  • Infrastructure
  • Innovations
  • Investments
Usefull Links
  • Home
  • Contact
  • Privacy Policy
  • Terms & Conditions

© 2024 – datacenternews.tech – All rights reserved

Welcome Back!

Sign in to your account

Lost your password?
We use cookies to ensure that we give you the best experience on our website. If you continue to use this site we will assume that you are happy with it.
You can revoke your consent any time using the Revoke consent button.