Shadeform AI

About Shadeform AI

Shadeform is an API platform that provides real-time pricing and availability for GPU workloads across multiple cloud providers, allowing users to launch and manage instances from a single console. This solution reduces costs and simplifies the deployment of GPU resources for training and inference tasks, addressing the complexity of multi-cloud management.

```xml <problem> Managing GPU resources across multiple cloud providers is complex, requiring users to navigate different interfaces, pricing models, and availability constraints. This complexity increases operational overhead and costs, hindering efficient deployment and utilization of GPU resources for compute-intensive tasks. </problem> <solution> Shadeform provides a unified API and console for accessing real-time pricing and availability of GPU instances across various cloud providers. The platform enables users to launch and manage GPU workloads from a single interface, simplifying multi-cloud management and reducing operational costs. By aggregating GPU cloud offerings, Shadeform allows users to compare pricing, availability, and instance configurations to optimize resource allocation for training and inference tasks. Users can either manage their own cloud provider accounts through Shadeform or leverage Shadeform's managed cloud accounts. </solution> <features> - Real-time pricing and availability data for GPU instances across multiple cloud providers - Unified API and console for launching and managing instances - Support for various GPU types, including A100, H100, and RTX series - Instance management capabilities, including spinning up, tearing down, and monitoring - Centralized billing and payments across multiple cloud providers - Standardized VM images and container deployment options - Support for custom images </features> <target_audience> The primary target audience includes machine learning engineers, data scientists, and DevOps teams who require on-demand GPU resources for training, inference, and other compute-intensive workloads. </target_audience> ```

What does Shadeform AI do?

Shadeform is an API platform that provides real-time pricing and availability for GPU workloads across multiple cloud providers, allowing users to launch and manage instances from a single console. This solution reduces costs and simplifies the deployment of GPU resources for training and inference tasks, addressing the complexity of multi-cloud management.

Where is Shadeform AI located?

Shadeform AI is based in Charlotte, United States.

When was Shadeform AI founded?

Shadeform AI was founded in 2023.

How much funding has Shadeform AI raised?

Shadeform AI has raised 500000.

Location
Charlotte, United States
Founded
2023
Funding
500000
Employees
6 employees

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Shadeform AI

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Executive Summary

Shadeform is an API platform that provides real-time pricing and availability for GPU workloads across multiple cloud providers, allowing users to launch and manage instances from a single console. This solution reduces costs and simplifies the deployment of GPU resources for training and inference tasks, addressing the complexity of multi-cloud management.

shadeform.ai700+
cb
Crunchbase
Founded 2023Charlotte, United States

Funding

$

Estimated Funding

$500K+

Team (5+)

No team information available.

Company Description

Problem

Managing GPU resources across multiple cloud providers is complex, requiring users to navigate different interfaces, pricing models, and availability constraints. This complexity increases operational overhead and costs, hindering efficient deployment and utilization of GPU resources for compute-intensive tasks.

Solution

Shadeform provides a unified API and console for accessing real-time pricing and availability of GPU instances across various cloud providers. The platform enables users to launch and manage GPU workloads from a single interface, simplifying multi-cloud management and reducing operational costs. By aggregating GPU cloud offerings, Shadeform allows users to compare pricing, availability, and instance configurations to optimize resource allocation for training and inference tasks. Users can either manage their own cloud provider accounts through Shadeform or leverage Shadeform's managed cloud accounts.

Features

Real-time pricing and availability data for GPU instances across multiple cloud providers

Unified API and console for launching and managing instances

Support for various GPU types, including A100, H100, and RTX series

Instance management capabilities, including spinning up, tearing down, and monitoring

Centralized billing and payments across multiple cloud providers

Standardized VM images and container deployment options

Support for custom images

Target Audience

The primary target audience includes machine learning engineers, data scientists, and DevOps teams who require on-demand GPU resources for training, inference, and other compute-intensive workloads.

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