Pricing

Self-hosted inference.
Effortless today, future-proof for tomorrow.

Doubleword is a self-hosted inference platform purpose-built for enterprises. Control your AI.

Pro
For teams ramping up their model deployments
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Enterprise
For teams deploying models at scale across the enterprise
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Inference engine
Yes
Yes
Autoscaling
Yes
Yes
Management console
Yes
Yes
# of Admins / Users
Unlimited
Unlimited
Support for all open source models
Yes
Yes
Number of GPUs supported
8
Unlimited
NVIDIA, AMD, and Intel GPU and CPU support
Yes
Yes
Dedicated customer success
Yes
Yes
Support for custom models
No
Yes
Support SLAs
Standard
Enhanced
Number of environments
1
Unlimited
Custom legal terms
No
Yes
FAQs

Everything You Need to Know About Doubleword

1
What is Doubleword?

Doubleword is an enterprise AI model deployment platform that enables one-click deployment of AI models across any environment, allowing teams to focus on building AI-powered products instead of managing DevOps.

2
Who is Doubleword for?

Doubleword is designed for AI teams, enterprises, and developers who need to deploy and manage AI models efficiently without the complexity of infrastructure configuration and maintenance.

3
Why would I use Doubleword instead of cloud offerings like AWS Bedrock and Vertex Model Garden?

Doubleword gives you full control over your AI models, ensuring data privacy, cost efficiency, and flexibility across on-prem, cloud, and hybrid environments.

4
Why would I use Doubleword instead of building the self-hosting infrastructure myself?

Building self-hosting infrastructure is complex and costly. Doubleword eliminates manual configuration, scaling, and maintenance, allowing teams to launch models instantly with one-click deployment, autoscaling, and real-time monitoring.

5
Where can I deploy Doubleword?

Doubleword runs in any environment, including on-premise, multi-cloud (AWS, GCP, Azure, OCI), airgapped environments, and hybrid setups.

6
What infrastructure is required to use Doubleword?

Doubleword runs on any compute environment, including on-prem, cloud, or hybrid setups, and supports any hardware, including NVIDIA, AMD, GPUs, and CPUs. It integrates with any Kubernetes setup.

7
Which models can I run on Doubleword?

Doubleword supports any open-source, fine-tuned, or custom AI model, including Llama, Mistral, Falcon, and enterprise-specific models.

8
Does Doubleword support fine-tuning?

Yes, you can deploy fine-tuned models, but fine-tuning itself is done externally before deployment.

9
Can I train models using Doubleword?

No, Doubleword is designed for deployment and inference, but it supports fine-tuned models trained externally.

10
Can Doubleword help me optimise my inference costs?

Yes, Doubleword’s inference engine and autoscaling layer ensure optimal GPU utilisation, reducing cost while maintaining high performance.

11
How does Doubleword integrate with my existing machine learning stack?

Doubleword works seamlessly with PyTorch, TensorFlow, Hugging Face models, Kubernetes, and existing MLOps pipelines.

12
Is Doubleword secure?

Yes, all AI models run within your infrastructure with full encryption and role-based access control, ensuring compliance with enterprise security policies.

13
Where is my data processed when using Doubleword?

All data remains inside your infrastructure, whether on-prem, in private cloud, or in an airgapped environment.

14
How long does it take to deploy Doubleword?

Deployment takes minutes, with one-click model serving and auto-optimised infrastructure scaling.

15
What level of customer support does Doubleword offer?

We offer enterprise-grade support, including SLAs, dedicated engineers, and integration assistance.

Want to learn more?

We work with enterprises at every stage of their self-hosting journey - whether you're deploying your first model in an on-prem environment or scaling dozens of fine-tuned, domain-specific models across a hybrid, multi-cloud setup. Doubleword is here to help you do it faster, easier, and with confidence.