Unique GPU Abstraction capabilities “virtualize” all available GPU resources and ensure that users can easily access GPU fractions, multiple GPUs or clusters of GPUs

Optimize AI
IT & MLOPS

AI Infrastructure made simple

Build your AI infrastructure with cloud-like resource accessibility and management, on any infrastructure, and enable researchers to use any ML and DS tools they choose.

Run:AI’s platform builds off of powerful distributed computing and scheduling concepts from High Performance Computing (HPC), but is implemented as a simple Kubernetes plugin. 

Our AI Cloud Platform speeds up data science workflows and creates visibility for IT teams who can now manage valuable resources more efficiently, and ultimately reduce idle GPU time.
Gain Visibility & Control
Simplify management of GPU allocation and ensure sharing between users, teams, and projects according to business policies & goals.

Run:ai brings a cloud-like experience to resource management wherever your resources are: cloud, on-premises or hybrid cloud.

Built for Cloud-Native
Super-powerful scheduling built as a simple Kubernetes plug-in, built from the ground up to work with containers and cloud-native architectures.

Make use of fractional GPUs, integer GPUs, and multiple-nodes of GPUs, for distributed training on Kubernetes.

Improve ROI >2x
Improves utilization by more than 2X, and significantly increases ROI on existing GPU and CPU infrastructure.

Run workloads on fractions of GPUs, converting spare capacity to speed and increasing infrastructure efficiency.

IT & MLOPS

AI Infrastructure made simple

Build your AI infrastructure with cloud-like resource accessibility and management, on any infrastructure, and enable researchers to use any ML and DS tools they choose.

Run:AI’s platform builds off of powerful distributed computing and scheduling concepts from High Performance Computing (HPC), but is implemented as a simple Kubernetes plugin. 

Our AI Cloud Platform speeds up data science workflows and creates visibility for IT teams who can now manage valuable resources more efficiently, and ultimately reduce idle GPU time.

Gain Visibility & Control

Simplify management of GPU allocation and ensure sharing between users, teams, and projects according to business policies & goals.

Run:AI brings a cloud-like experience to resource management wherever your resources are: cloud, on-premises or hybrid cloud.

Built for Cloud-Native

Super-powerful scheduling built as a simple Kubernetes plug-in, built from the ground up to work with containers and cloud-native architectures.

Make use of fractional GPUs, integer GPUs, and multiple-nodes of GPUs, for distributed training on Kubernetes.

Improve ROI >2x

Improves utilization by more than 2X, and significantly increases ROI on existing GPU and CPU infrastructure.

Run workloads on fractions of GPUs, converting spare capacity to speed and increasing infrastructure efficiency.

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

We were dealing with the horror of scheduling training via spreadsheets, checking frequently to see who had which GPU. With Run:ai, everyone just runs their jobs - that's it.

Sidharth sharma, Wayve
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