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Multi-cloud Compute for GenAI

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Aggregate compute resources from any cloud and on-premise while keeping your AI applications secure.

The Problem

GenAI requires massive compute resources which aren’t always available on demand, and scaling them creates significant overhead. Privacy, both for your own models and connecting with customers’ data require slow, complicated integrations.

Run GenAI at scale

with any cloud

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Aggregate compute from any cloud

Run a single Generative AI pipeline across multiple clouds from one interface , or aggregate compute from multiple clouds.

  • Aggregate resources across AWS, Azure, GCP and NVIDIA’s DGX.
  • Use on-premise resources, especially for proprietary models to maintain full control.
  • Auto-scale infrastructure without waiting on DevOps and
ensure high performance with our 99.9% uptime SLA.
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Keep models secure on your own servers

Train proprietary models securely on-premise to keep your models protected, while continuing to use Dataloop to build the pipelines.

  • Keep proprietary models private by running them on your own servers.
  • Run multi-cloud GenAI pipelines with each node of the pipeline being in a different environment.
  • Keep your data fully encrypted with military-grade security standards and certified by comprehensive system audits.
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More connections, less integrations

Dataloop makes integrating with customer data easy and secure with hundreds of pre-built integrations so you can focus on building.

  • Easily connect with customers’ cloud environment in AWS, Azure, GCP, NVIDIA’s DGX and more.
  • Dataloop’s Secrets Manager allows secure handling of sensitive information within the Dataloop platform.
  • Pre-built integrations to many other popular systems, including dedicated GPU providers.
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Build on a solid foundation

Develop AI applications at the speed of market demand

 

Build anything with Dataloop

These are just some of the workflows our users build using the platform

Running AI in production

Deploy a model into production seamlessly, integrating everything from model development to AI operation within a single environment. Run all your AI applications from a single, cost-effective, platform.

Building a GenAI stack

Create single- or multi-modal AI applications, work with hundreds of datasets, chose any model you need to and replace them at will – all on the only truly-complete platform for GenAI development.

Building AI agents

Dataloop offers all the essential components to develop robust, both task-specific and general-purpose agents. Input context during model configuration, then deploy the agents to multiple destinations from within Dataloop.

DataOps

Data curation, cleaning, versioning and management tools you can depend on. Dataloop pre-processes every single piece of unstructured data for easy retrieval and filtering, allowing quick & easy data selection.

FAQ

Dataloop is an AI development platform designed to empower data practitioners to collaborate and build exceptional AI solutions. It comes pre-packed with models, functions, datasets, and integrations with popular cloud platforms, ensuring you can hit the ground running when developing your AI applications.

Dataloop is an all-in-one solution, eliminating the need for multiple tools or cloud services to deliver complete, robust AI applications. Furthermore, Dataloop prioritizes RLHF, Active Learning, and other human-in-the-loop workflows, offering dedicated, state-of-the-art annotation studios for human reviewers to excel.

Dataloop offers a large Marketplace of models, datasets, pre-built workflow templates and more, and is highly-integrated with a variety of cloud platforms, data tools and more.

Read more about why Dataloop is a great choice for you in our dedicated page for Data Engineers.

Dataloop helps automate processes crucial to AI development, such as model training, human feedback (for RLHF and Active Learning) and more, and lets you focus on training your models instead of platform setup and configuration.

Read more about why Dataloop is a great choice for you in our dedicated page for Data Scientist.

In Dataloop, every piece of the pipeline can be created, modified and deleted using an API call, and our robust Python SDK allows for complete code-level control on the data pipelines you rely on to build your AI applications.

Read more about why Dataloop is a great choice for you in our dedicated page for Software Engineers.

Dataloop allow teams to focus on building AI applications, and not platform maintenance – while still allowing for complicated, human-in-the-loop flows and without compromising on quality or the speed of delivery.

Read more about why Dataloop is a great choice for you in our dedicated page for Data & AI Leaders.

To get started with Dataloop, you can talk to one of our AI experts.

At Dataloop, privacy and security are our top priorities. We adhere to leading industry standards and are dedicated to ensuring the security of your data with comprehensive governance throughout the entire platform. More specifically, Dataloop is compliant with SOC 2 Type II, GDPR, ISO 27001 and ISO 27701, and offers RBAC, 2-factor authentication, AES-256 encryption and ongoing tracking of all system resources and actions that occur within the platform.

You can read more about our security controls in our dedicated security resource.