Atlantic.Net Inference Cloud
Deploy and run your own models on self-serve GPU cloud infrastructure designed for performance-sensitive inference. Configure your own runtime and supporting stack, then engage Atlantic.Net when you need a more tailored deployment.
- NVIDIA H100 NVL & L40S
- Fractional, Single & Multi-GPU
- Your Models & Runtime
- Custom Deployment Support
GPU-Backed Infrastructure
H100
GPU Allocation Options
3
Self-serve infrastructure for customer-managed AI inference
H100-powered infrastructure from a cloud provider built for performance-sensitive workloads.
Atlantic.Net Inference Cloud is a self-serve GPU cloud platform designed for teams that need dedicated 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.
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.
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.
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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.
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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.
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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 needs.
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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.
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.
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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.
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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 GPU-backed cloud infrastructure for inference workloads.
Deploy your own model and supporting stack
Bring your own models, containers, runtimes, and application components with full control over deployment.
Configure inference services and access
Set up endpoints, networking, and access patterns required for your applications and systems.
Run and expand workloads
Operate inference workloads and scale GPU usage as your application grows.
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.
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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.
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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.
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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.
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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.
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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.
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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
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.
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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.
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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.
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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.
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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.
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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
Add an AI Agent to the Stack
Inference infrastructure runs the model. An AI agent gives people and applications a practical way to use it: through conversations, tools, schedules, memory, and multi-step workflows.
Atlantic.Net offers OpenClaw and Hermes Agent as one-click applications on persistent Cloud Servers. They complement the customer-managed model-serving layer described on this page, but they solve a different part of the stack. The current application images connect to a customer-supplied model provider such as OpenAI, Anthropic, or OpenRouter; model usage is billed separately from the Cloud Server.
OpenClaw Hosting: An Assistant Available Through Chat
OpenClaw Hosting gives a self-hosted, messaging-first AI assistant an always-on Gateway. Connect supported chat applications, authorize users, maintain sessions and memory, and keep the Gateway state on a Cloud Server under your account.
Choose OpenClaw when conversation is the main interface, and users need to reach the same assistant from approved channels, a browser, or mobile devices.
Deploy OpenClaw in One ClickHermes Agent Hosting: Tools, Skills, and Scheduled Work
Hermes Agent Hosting gives a tool-using agent a persistent environment for memory, reusable skills, browser and terminal work, delegation, messaging, and scheduled automation.
Choose Hermes when the main job is carrying out a bounded, repeatable procedure with approved tools, defined outputs, and clear execution limits.
Launch Hermes in MinutesTwo Operating Models, One Cloud Platform
OpenClaw and Hermes overlap, but they organize the experience differently. Start with OpenClaw for a messaging-first assistant. Start with Hermes for tool-driven automation. Run both in separate environments, each with a distinct job, credentials, and trust boundary.
See the Atlantic.Net Cloud PlatformFAQs
What is Atlantic.Net Inference Cloud?
Is this a managed inference platform?
Can I deploy my own models?
What GPUs are available?
Who is this platform for?
When should I contact Atlantic.Net for a custom deployment?
Is this suitable for production inference workloads?
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