Related Products
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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.
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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.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Domain experts and data scientists requiring a tool to collaborate via pro-code and no-code development approaches
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Audience
Service Mesh solution for companies
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationMLReef
United States
www.mlreef.com
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Company InformationNetwork Service Mesh
networkservicemesh.io
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Alternatives |
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Categories |
Categories |
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Integrations
Amazon Web Services (AWS)
Docker
Google Kubernetes Engine (GKE)
Keras
Kubernetes
MXNet
Meshery
Microsoft Azure
PyTorch
TensorFlow
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Integrations
Amazon Web Services (AWS)
Docker
Google Kubernetes Engine (GKE)
Keras
Kubernetes
MXNet
Meshery
Microsoft Azure
PyTorch
TensorFlow
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