Solutions Accelerate AI Data Science

Data scientists

Remove static resource allocations

Static compute allocations dramatically reduce researcher productivity and slow down their ability to bring AI solutions to market.
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Run:ai’s Atlas Platform for AI Clouds speeds up data science initiatives by pooling all available resources and then dynamically allocating resources based on need - to maximize accessible compute, regardless where these resources reside (on-premises or cloud).

Self-serve

No need to go to IT for access to compute, researchers gain self-service availability of all resources.

Accelerates compute-intensive AI projects by more than 2x.

Compute accessibility

Automates provisioning of pooled GPU across teams, users, clusters and nodes.

Access the compute you need, where and when you need it.

One-click distributed computing

Thousands of experiments are launched, managed, queued and provisioned on GPUs automatically.

One customer ran 6790 concurrent HPO jobs, the system simply queued and ran them as resources became available.

Data scientists

Remove static resource allocations

Static compute allocations dramatically reduce researcher productivity and slows down their ability to bring AI solutions to market.
‍
Run:AI’s AI Cloud Platform speeds up data science initiatives by pooling all available resources and then dynamically allocating resources based on need - to maximize accessible compute, regardless where these resources reside (on-premises or cloud).

Self-serve

No need to go to IT for access to compute, researchers gain self-service availability of all resources

Accelerates compute-intensive AI projects by more than 2x.

Compute accessibility

Automates provisioning of pooled GPU across teams, users, clusters and nodes.

Access the compute you need, where and when you need it.

One-click distributed computing

Thousands of experiments are launched, managed, queued and provisioned on GPUs automatically.

One customer ran 6790 concurrent HPO jobs, the system simply queued and ran them as resources became available.

Rapid AI development is what this is all about for us. What Run:AI helps us do is to move from a company.

Siddharth Sharma, Sr. Research Engineer, Wayve

Rapid AI development is what this is all about for us. What Run:AI helps us do is to move from a company.

Siddharth Sharma, Sr. Research Engineer, Wayve

With Run:ai we’ve seen great improvements in speed of experimentation and GPU hardware utilization. Average experimentation time was reduced from 46 days to 2 days.

Dr. M Jorge cardoso, King's college london & London AI Centre

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