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Building Self-Serve Tools for AI Developers to Run Experiments and Deploy Models Into Cloud

Building Self-Serve Tools for AI Developers to Run Experiments and Deploy Models Into Cloud

ML Engineering
MLOps
ML Ops Advisory
AI Product Management

Paperspace

A cloud platform for AI and ML models.

đź”’ Confidential client

Building Self-Serve Tools for AI Developers to Run Experiments and Deploy Models Into Cloud

Building Self-Serve Tools for AI Developers to Run Experiments and Deploy Models Into Cloud

ML Engineering
MLOps
ML Ops Advisory
AI Product Management

Paperspace

A cloud platform for AI and ML models.

đź”’ Confidential client

How building self-serve tools led GTM and acquisition by Digital Ocean for 110M

Building Self-Serve Tools for AI Developers to Run Experiments and Deploy Models Into Cloud

ML Engineering
MLOps
ML Ops Advisory
AI Product Management

Case study by

AI Hive

Led by an award-winning Cog X AI expert.

The Challenge

To support non-GPU accelerators, grow developer community and user base, and drive utilization.

The Solution

Integrated Graphcore IPU infrastructure to Paperspace cloud MLOps platform, created notebooks, ported models, conducted hands-on workshops, and led GTM.

Impact

Led GTM and paved the way for Paperspace to get acquired by Digital Ocean for $110 million (USD).

Building Self-Serve Tools for AI Developers to Run Experiments and Deploy Models Into Cloud

Building Self-Serve Tools for AI Developers to Run Experiments and Deploy Models Into Cloud

Client needed to support non-GPU accelerator,

grow developer community/user base, and drive utilization.

IMPACT

10,000 developers acquired and provided access to Paperspace

Paperspace acquired by Digital Ocean for 110M

ai solution

Integration of Graphcore IPU infrastructure to Paperspace cloud MLOps platform, created notebooks, ported models, conducted hands-on workshops, and led GTM.

client

Paperspace

A cloud platform for AI and ML models.

in collaboration with hive

AI Hive

Led by an award-winning Cog X AI expert.

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