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.

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

H100 GPU powered inference cloud infrastructure illustration

Self-serve GPU infrastructure for AI inference workloads powered by H100

Self-serve infrastructure for customer-managed AI inference

Atlantic.Net Inference Cloud is a self-serve GPU cloud platform designed for teams that needdedicated GPU infrastructure for inference workloads.

It enables engineering teams to deploy and manage their own AI models without relying on a fully managed platform, giving more control over runtime, scaling, and deployment architecture.

Atlantic.Net provides the H100-powered infrastructure layer, while your team manages the model, runtime, and supporting services required for production environments.

You can start quickly with a self-serve setup, and scale into more advanced, custom deployment configurations as your infrastructure needs grow.

Launch Inference Cloud Talk to the Team About Custom Deployment

Inference workloads need infrastructure designed for runtime performance and operational control

Production inference 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.

Diagram showing AI inference infrastructure performance, GPU scaling, and deployment control

Why Atlantic.Net Inference Cloud

Self-serve GPU cloud infrastructure deployment icon

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 GPU infrastructure for high-performance AI inference icon

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.

Custom AI model deployment and runtime flexibility icon

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.

AI infrastructure flexibility and control for engineering teams icon

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 needs.

Production AI infrastructure for scalable inference workloads icon

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.

Custom AI deployment support and infrastructure consulting icon

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.

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How Atlantic.Net Inference Cloud works

Provision GPU cloud infrastructure for AI inference

Provision infrastructure

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

Deploy AI models, containers, and runtime environments

Deploy your own model and supporting stack

Bring your own models, containers, runtimes, and application components with full control over deployment.

Configure AI inference services, APIs, and access endpoints

Configure inference services and access

Set up endpoints, networking, and access patterns required for your applications and systems.

Run and scale AI inference workloads on GPU infrastructure

Run and expand workloads

Operate inference workloads and scale GPU usage as your application grows.

Custom AI infrastructure deployment support and consulting

Engage Atlantic.Net for more complex deployments

Work with experts for architecture planning and advanced deployment requirements.

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

Custom AI deployment planning and infrastructure support

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.

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 fractional 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 need GPU-backed inference infrastructure.

You should contact Atlantic.Net when your requirements go beyond a standard self-serve setup, especially if you need help with architecture planning or environment design. 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.

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.

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