Simple infra for powerful ML & AI products

Zeet helps DevOps teams deploy and scale ML infrastructure across cloud providers. Get access to globally-distributed GPUs and TPUs for your applications.

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Use the best hardware

Access GPU models across all of your favorite clouds

Minimize end user latency

Choose what's best for your needs, not what happens to be available on one cloud. Select from an extensive list of GPU, SKUs, and POPs across AWS, GCP, Azure, Coreweave, and more.

Powerful auto-scaling

Zeet's Kubernetes-based autoscaling matches your infrastructure to your demand. Scale based off CPU, memory, requests, or use our custom metrics to customize how you scale.

"Zeet allows us the freedom to focus on building and iterating our services while benefiting from fast spin up times, low latency, and the ability to scale into the GPUs we need on-demand."

Erik Dunteman

Founder, Banana

Featured partner

"Our partnership allows companies to tap into the industry’s broadest selection of on-demand GPU compute resources and DevOps expertise while saving up to 80% compared to the large, generalized cloud providers."

Max Hjelm

VP of Sales, Coreweave

Customer case studies

Banana.dev used Zeet's ML scaling to go from "prototype" to "at scale", without re-inventing their architecture.

Read Case study

Otherside.ai used Zeet’s ML scaling to go from “prototype” to “at scale”, without re-inventing their architecture.

Read Case study

Use Zeet Blueprints to provision your ML stack

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Decrease GPU Cloud Spend

Stop compromising between cloud cost and hardware performance

With Zeet's multi-cloud capabilities, you can easily launch optimized ML experiences without breaking the bank. Save time and resources spent on Cloud.

Increase Model Agility, Decrease ML Cloud Spend

Utilize the best cloud resources available, and do so with the cheapest price. Pick what you need across multiple clouds and run the best infrastructure available.

Focus on what matters most

Select from a catalog GPUs across every cloud provider, and get the best model performance while doing so.

Get access to the most GPUs at the cheapest prices

Get high availability, affordable GPUs across most SKUs, from RTX, H100, A100, V100, and more.

Deploy Where you want to

Pick the best cloud for you use case

Leverage multi-cloud to deploy anywhere

Get exactly what you need—deploy across AWS, GCP, Coreweave to any region.

Serve your users quickly

By leveraging multi-cloud, you can give your users access to hardware in their backyard. Reduce model latency, increase efficiency.

Lower your overhead

Multi-cloud used to mean more spend and more headaches, but with Zeet, you'll save time, money, and energy so you can focus on what matter.

Leveraged by Engineering teams in Machine Learning

ML/AI Features

Feature

Change Window Configuration

Description

In conclusion, the case study on streamlining cloud operations underscores the significant benefits of optimizing cloud processes. The implemented solution resulted in a 40% reduction in operational costs, generating substantial financial savings. Additionally, the organization witnessed a remarkable 30% increase in overall productivity, driving significant growth.

By streamlining workflows, optimizing resource allocation, and leveraging automation, the organization achieved enhanced efficiency and agility. The 50% faster application deployment further contributed to improved competitiveness and time-to-market.

This case study highlights the tangible advantages of simplifying cloud operations in today's fast-paced business landscape. Organizations that embrace streamlined cloud processes can expect cost savings, productivity gains, and a competitive edge. It serves as a valuable reference for organizations seeking to leverage cloud technologies effectively and thrive in the digital era.