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About

MLReef enables domain experts and data scientists to securely collaborate via a hybrid of pro-code & no-code development approaches. 75% increase in productivity due to distributed workloads. This enables teams to complete more ML projects faster. Domain experts and data scientists collaborate on the same platform reducing 100% of unnecessary communication ping-pong. MLReef works on your premises and uniquely enables 100% reproducibility and continuity. Rebuild all work at any time. You can use already well-known and established git repositories to create explorable, interoperable, and versioned AI modules. AI Modules created by your data scientists become drag-and-drop elements. These are adjustable by parameters, versioned, interoperable, and explorable within your entire organization. Data handling often requires expert knowledge that a single data scientist often lacks. MLReef enables your field experts to relieve your data processing task, reducing complexities.

About

A common flat vL3 domain allowing DBs running in multiple clusters/clouds/hybrid to communicate just with each other for DB replication. Workloads from multiple companies connecting to a single ‘collaborative’ Service Mesh for cross company interactions. Each workload has a single option of what connectivity domain to be connected to, and only workloads in a given runtime domain could be part of its connectivity domain. In short: Connectivity Domains are Strongly Coupled to Runtime Domains. A central tenant of Cloud Native is Loose Coupling. In a Loosely Coupled system, the ability for each workload to receive service from alternative providers is preserved. What Runtime Domain a workload is running in is a non-sequitur to its communications needs. Workloads that are part of the same App need Connectivity between each other no matter where they are running.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Domain experts and data scientists requiring a tool to collaborate via pro-code and no-code development approaches

Audience

Service Mesh solution for companies

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

MLReef
United States
www.mlreef.com

Company Information

Network Service Mesh
networkservicemesh.io

Alternatives

Alternatives

DATAGYM

DATAGYM

eForce21

Categories

Categories

Integrations

Amazon Web Services (AWS)
Docker
Google Kubernetes Engine (GKE)
Keras
Kubernetes
MXNet
Meshery
Microsoft Azure
PyTorch
TensorFlow
Ubuntu
scikit-image

Integrations

Amazon Web Services (AWS)
Docker
Google Kubernetes Engine (GKE)
Keras
Kubernetes
MXNet
Meshery
Microsoft Azure
PyTorch
TensorFlow
Ubuntu
scikit-image
Claim MLReef and update features and information
Claim MLReef and update features and information
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Claim Network Service Mesh and update features and information