DataCrunch

About DataCrunch

DataCrunch provides on-demand access to high-performance GPU instances and custom-built clusters powered by NVIDIA H200 and H100 technology, enabling efficient model inference and training for machine learning applications. The platform utilizes 100% renewable energy, offering a scalable solution that reduces the infrastructure burden for businesses deploying AI models.

```xml <problem> Training and deploying large machine learning models requires significant computational resources, leading to high infrastructure costs and complexity for businesses. Managing and scaling GPU infrastructure can be a burden, hindering innovation and slowing down model development cycles. </problem> <solution> DataCrunch provides on-demand access to high-performance GPU instances and clusters, streamlining model training and inference for machine learning applications. The platform offers a range of NVIDIA GPUs, including H200, H100, and A100, accessible through an intuitive dashboard or API. DataCrunch also provides serverless inference options for autoscaling and low-cost model deployment. All infrastructure is powered by renewable energy, offering a sustainable and scalable solution for AI workloads. </solution> <features> - On-demand GPU instances and custom-built clusters featuring NVIDIA H200, H100, A100, B200 and GB200 GPUs - Serverless inference for autoscaling and low-cost model deployment - Support for multi-GPU training and FP64 HPC workloads - Intuitive dashboard and API for instance and cluster management - Dynamic pricing options for cost optimization - ISO27001 certification and GDPR compliance for data protection - All infrastructure powered by 100% renewable energy </features> <target_audience> DataCrunch targets machine learning engineers, data scientists, and AI developers who require high-performance computing resources for model training and deployment. </target_audience> <revenue_model> DataCrunch utilizes a pay-as-you-go pricing model for on-demand GPU instances and clusters, as well as subscription-based pricing for serverless inference and managed endpoints. </revenue_model> ```

What does DataCrunch do?

DataCrunch provides on-demand access to high-performance GPU instances and custom-built clusters powered by NVIDIA H200 and H100 technology, enabling efficient model inference and training for machine learning applications. The platform utilizes 100% renewable energy, offering a scalable solution that reduces the infrastructure burden for businesses deploying AI models.

Where is DataCrunch located?

DataCrunch is based in Helsinki, Finland.

When was DataCrunch founded?

DataCrunch was founded in 2018.

How much funding has DataCrunch raised?

DataCrunch has raised 18710000.

Location
Helsinki, Finland
Founded
2018
Funding
18710000
Employees
41 employees
Major Investors
byFounders

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DataCrunch

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Executive Summary

DataCrunch provides on-demand access to high-performance GPU instances and custom-built clusters powered by NVIDIA H200 and H100 technology, enabling efficient model inference and training for machine learning applications. The platform utilizes 100% renewable energy, offering a scalable solution that reduces the infrastructure burden for businesses deploying AI models.

datacrunch.io1K+
cb
Crunchbase
Founded 2018Helsinki, Finland

Funding

$

Estimated Funding

$10M+

Major Investors

byFounders

Team (40+)

No team information available.

Company Description

Problem

Training and deploying large machine learning models requires significant computational resources, leading to high infrastructure costs and complexity for businesses. Managing and scaling GPU infrastructure can be a burden, hindering innovation and slowing down model development cycles.

Solution

DataCrunch provides on-demand access to high-performance GPU instances and clusters, streamlining model training and inference for machine learning applications. The platform offers a range of NVIDIA GPUs, including H200, H100, and A100, accessible through an intuitive dashboard or API. DataCrunch also provides serverless inference options for autoscaling and low-cost model deployment. All infrastructure is powered by renewable energy, offering a sustainable and scalable solution for AI workloads.

Features

On-demand GPU instances and custom-built clusters featuring NVIDIA H200, H100, A100, B200 and GB200 GPUs

Serverless inference for autoscaling and low-cost model deployment

Support for multi-GPU training and FP64 HPC workloads

Intuitive dashboard and API for instance and cluster management

Dynamic pricing options for cost optimization

ISO27001 certification and GDPR compliance for data protection

All infrastructure powered by 100% renewable energy

Target Audience

DataCrunch targets machine learning engineers, data scientists, and AI developers who require high-performance computing resources for model training and deployment.

Revenue Model

DataCrunch utilizes a pay-as-you-go pricing model for on-demand GPU instances and clusters, as well as subscription-based pricing for serverless inference and managed endpoints.

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