What GPUs are available?

The current Atlantic.Net GPU inventory includes the NVIDIA H100 NVL and NVIDIA L40S. Customers can access fractional GPUs, single-GPU, and multi-GPU configurations.

When should I contact Atlantic.Net for a custom deployment?

You should contact Atlantic.Net when your requirements go beyond a standard self-serve setup, especially if you need assistance with architecture planning, environment design, or a tailored deployment approach. Support is available 24x7x365.

Is this suitable for production inference workloads?

Yes. The platform is intended for teams running production-oriented inference workloads that require strong GPU infrastructure and deployment control. Suitability depends on your model, traffic profile, and environment requirements.

Atlantic.Net Inference Cloud

Q: Who is this platform for?

It is designed for AI engineers, MLOps teams, platform engineers, DevOps teams, SaaS companies building AI features, and enterprises that need GPU-backed inference infrastructure without using a fully managed AI platform.

Deploy and run your own inference workloads on self-serve, H100-backed cloud infrastructure
built for teams that want control over model deployment. Bring your own models, configure your
own stack, and move from fast startup to more tailored deployment support when needed.

Launch Inference Cloud Talk to the Team About Custom Deployment

H100-powered infrastructure from a cloud provider built for performance-sensitive workloads.

Self-serve infrastructure for customer-managed AI inference

Atlantic.Net Inference Cloud is a self-serve GPU cloud offering for teams that need dedicated GPU infrastructure for inference workloads. It is designed for customers who want to deploy and manage their own models rather than adopt a fully managed AI platform.

Atlantic.Net provides the H100-powered infrastructure layer. You bring the model, runtime, and supporting services needed for your application. This gives your team more control over how inference is deployed, operated, and integrated into production systems.

For straightforward deployments, you can get started through a self-serve model. For more complex requirements, Atlantic.Net also offers a direct path to engage the team for guidance on custom deployments.

Inference workloads need infrastructure designed for runtime performance and operational control.

Production deployments depend on consistent responsiveness, predictable runtime behavior, and an environment your team can configure around the model serving stack you choose.

General-purpose cloud environments can be suitable for experimentation, but production inference often demands a better fit between the infrastructure and the workload. Teams need GPU access that supports real application traffic, deployment patterns they can repeat, and sufficient control to tune services based on model behavior, request handling, and downstream integrations.

For engineering teams shipping AI features into real products, infrastructure decisions affect more than raw throughput. They shape how quickly models can be deployed, how reliably services can be operated, and how much freedom the team has to build its own inference environment rather than adapt to a rigid managed platform.

Atlantic.Net Inference Cloud is positioned for that middle ground: self-serve infrastructure with serious GPU backing, plus a path to engage infrastructure specialists when deployment requirements become more involved.

Why Atlantic.Net Inference Cloud

Self-serve by design

Get access to GPU-backed infrastructure without waiting for a fully managed platform workflow. Teams can provision infrastructure and move forward with their own deployment approach.

H100-backed for demanding inference workloads

Atlantic.Net Inference Cloud is positioned around NVIDIA H100 support for customers running performance-sensitive inference workloads that need high-end GPU infrastructure.

Your models, your runtime, your deployment choices

Atlantic.Net provides the infrastructure. Your team manages the models, serving framework, containers, services, and integrations required for your use case.

Better fit for teams that want control

Some organizations do not want to be locked into an opinionated AI platform. Atlantic.Net Inference Cloud gives teams the flexibility to deploy the stack that best matches their engineering and operational requirements.

Built for production-oriented AI infrastructure needs

This offering is designed for teams moving beyond experimentation and into repeatable inference environments that support real application workloads.

Direct path to custom deployment support

When requirements go beyond a standard self-serve setup, Atlantic.Net can work directly with your team on deployment guidance, architecture planning, and environment design.

How Atlantic.Net Inference Cloud works

Provision infrastructure

Start with a self-serve deployment model to access the GPU-backed cloud environment needed for inference workloads.

Deploy your own model and supporting stack

Bring your own models, containers, runtimes, and application components. Your team controls how the inference environment is assembled.

Configure inference services and access

Set up the endpoints, services, networking, and access patterns needed for your internal systems, products, or business applications.

Run and expand workloads

Operate inference workloads in a cloud environment built for GPU-backed deployment. Scale your usage as your application needs grow.

Engage Atlantic.Net for more complex deployments

If you need support with environment design, architecture planning, or a more tailored setup, Atlantic.Net can work directly with your team.

Practical inference use cases

LLM-powered product features

Run customer-facing or internal AI features that depend on your own model deployment approach rather than a managed third-party stack.

Internal AI assistants

Deploy models that support employee workflows, knowledge access, operational support, or internal productivity tools in a controlled environment.

Chatbots and conversational applications

Support chatbot and conversational experiences using models and serving frameworks selected by your own engineering team.

Document analysis pipelines

Run inference workloads for document processing, classification, extraction, summarization, or workflow automation tied to business systems.

Real-time classification and extraction

Support applications that need fast model responses for labeling, routing, filtering, or structured data extraction.

Private AI environments for business workloads

Create inference environments that enable teams to maintain tighter control over deployment design, access, and infrastructure choices.

Infrastructure built for
customer-managed inference

Atlantic.Net Inference Cloud provides customers with access to H100-based infrastructure in a GPU-backed cloud environment designed for inference workloads. The focus is straightforward: provide the infrastructure layer needed to deploy and run your own models.

This is a self-serve offering. Your team is responsible for model deployment, runtime configuration, and the surrounding software stack. That makes it a practical fit for organizations that want to keep control over how inference services are built and operated.

For teams with more advanced requirements, Atlantic.Net also provides an option to engage directly for custom deployment support. That can be useful when standard self-serve infrastructure is only part of the solution, and the environment needs more deliberate planning.

Platform foundations

H100-based infrastructure for performance-sensitive inference deployments
GPU-backed cloud environment designed for AI runtime workloads
Self-serve deployment model for faster access and operational control
Customer-managed models so your team chooses the stack and deployment method
Optional custom deployment engagement when architecture needs are more involved

Infrastructure built for customer managed inference Graphic

Who Atlantic.Net Inference Cloud is for

Teams deploying their own models

Built for organizations that want infrastructure for inference without handing off model deployment and runtime decisions to a managed platform.

Engineering teams that want GPU access without platform lock-in

A strong fit for AI engineers, MLOps teams, platform engineers, and DevOps teams that need GPU infrastructure but want to retain control over how services are built.

SaaS companies shipping AI features

Useful for software teams adding AI-powered functionality to products and looking for a practical infrastructure foundation for production inference.

Enterprises with controlled or private deployment needs

Relevant for organizations that want to run inference workloads in an environment aligned to internal deployment, security, or operational preferences.

Buyers who may start self-serve and evolve later

Some teams want to begin with a straightforward self-serve path, then engage on architecture or deployment planning as requirements become more complex.

Need more than a standard self-serve setup?

Atlantic.Net Inference Cloud supports self-serve deployment, but some inference environments need more planning. If your team needs help shaping the right infrastructure approach, Atlantic.Net can engage directly to support deployment design and implementation planning.

You need guidance on infrastructure architecture for a more complex inference environment.
You want help designing the right deployment model for private or controlled workloads.
You need a more tailored setup than a standard self-serve starting point

Contact Atlantic.Net for Custom Deployment

Need more than a standard self-serve setup Graphic

FAQs

Atlantic.Net Inference Cloud is a self-serve GPU cloud offering for inference workloads. We provide customers with H100-backed infrastructure to deploy and run their own models.

No. Atlantic.Net Inference Cloud is a self-serve infrastructure, not a fully managed inference platform. Customers are responsible for deploying and managing their own models and supporting stack. We will have 1-click applications available soon to help with your inference workloads.

Yes. This offering is intended for customer-managed models. Atlantic.Net provides the infrastructure layer, while your team deploys and operates the model environment.

The current Atlantic.Net GPU inventory includes the NVIDIA H100 NVL and NVIDIA L40S. You can access percentages for GPUs, single-GPU, and multi-GPU configurations.

It is built for AI engineers, MLOps teams, platform engineers, DevOps teams, SaaS companies building AI features, and enterprises that want GPU-backed inference infrastructure without being pushed into a fully managed AI platform.

You should contact Atlantic.Net when your requirements go beyond a standard self-serve setup, especially if you need help with architecture planning, environment design, or a more tailored deployment approach. Reach the team 24x7x365.

Yes, the offering is intended for teams running production-oriented inference workloads that need strong GPU infrastructure and control over deployment. Final suitability depends on your model, traffic profile, and environmental requirements.

How do I get started?

Visit our GPU pages for further information, or reach out to our sales team to discuss your options.

Launch quickly.
Scale with the right level of support.

Start with self-serve H100-backed infrastructure for your inference workloads, then engage Atlantic.Net when you need a more tailored deployment approach. Atlantic.Net Inference Cloud gives your team a practical path to run customer-managed models with speed, control, and room to grow.

Launch Inference Cloud Talk to the Team