On Premises AI Built Around Your Business
Run AI on dedicated infrastructure inside your organisation, giving you greater control over business data, internal knowledge, integrations and AI workloads.
AI Infrastructure Inside Your Business.
Not every organisation wants its AI workloads, internal knowledge and operational data running entirely through public cloud services.
For businesses that require greater control, Media Booth® can design AI systems that run on dedicated infrastructure located within your own environment.
That infrastructure may include local AI servers, GPU compute, edge computing hardware, private networks, dedicated storage and controlled connections to your existing business systems.
The goal is not simply to put an AI model on a computer in your office. It is to build a secure and practical architecture that gives your team the AI capability they need while keeping control of where important information is processed and stored.
AI Expertise Backed by Real Infrastructure Experience.
On premises AI requires more than choosing a model. It brings together AI development, GPU compute, servers, storage, networking, security and the systems that keep your business operating.
GPU Server Infrastructure
Hands on experience building and operating GPU server infrastructure for On Time Lapse®, supporting demanding computer vision, processing and AI workloads.
Local AI Development
Development of local AI models and applications for client projects where processing, business knowledge or AI capability needs to operate within a controlled environment.
Server & Network Experience
Years of experience across server infrastructure, hosting, DNS management, networking and the technical environments that modern business systems depend on.
Ongoing IT Management
Our sister company Crew I.T provides managed IT services, giving businesses access to ongoing infrastructure, network and technology support beyond the initial AI deployment.
We understand what sits underneath the AI.
Media Booth® can approach an on premises AI project as a complete business technology environment, considering the AI models, software, compute infrastructure, integrations, networking and ongoing management required to make it useful in the real world.
On premises AI can give organisations greater control over data location, infrastructure, model access and how AI connects to internal systems.
It can also form part of a hybrid architecture, combining local processing with selected cloud services where that makes sense.
Why Businesses Choose On Premises AI
Greater control over infrastructure, business information and how AI operates inside your organisation.
On premises AI is not necessary for every organisation, but for the right use case it can provide a powerful alternative to relying entirely on external AI platforms.
Greater Data Control
Keep selected AI workloads and sensitive business information within infrastructure you control.
Local Processing
Process selected workloads locally without sending every request or data set to an external cloud platform.
Low Latency Workloads
Run suitable AI workloads close to the systems, equipment or users that need them.
Private Knowledge Systems
Build internal AI assistants and knowledge tools around approved documents, procedures and business information.
Edge AI
Deploy AI closer to cameras, sensors, machinery and operational systems where fast local processing may be valuable.
Hybrid AI Architecture
Combine local infrastructure with selected cloud services so each workload runs where it makes the most sense.
Your AI. Your Infrastructure. Your Rules.
Build an AI environment around the level of control your organisation actually requires.
Media Booth® can design local and hybrid AI architectures that connect with your existing systems while keeping selected workloads and information inside infrastructure you control.
LOCAL AI SERVER
Dedicated infrastructure for running approved AI models, internal tools and business workloads.
PRIVATE BUSINESS DATA
Connect approved documents, databases, internal systems and knowledge sources under controlled access.
AI APPLICATIONS
Use local AI for assistants, analysis, automation, computer vision, reporting and other suitable workloads.
Where On Premises AI Can Make Sense
The right architecture depends on your business, your information and the workloads you need AI to perform.
Internal Knowledge Assistants
Help staff search approved procedures, documents, policies and internal business information.
Computer Vision
Process suitable camera and visual workloads locally for operations, monitoring or quality control.
Operational AI
Run selected AI services alongside internal systems, equipment and operational data.
Private Analysis
Analyse approved documents, records and datasets without automatically routing every workload through public AI services.
On Premises AI Frequently Asked Questions
On Premises AI refers to AI workloads running on infrastructure located within an organisation's own environment rather than relying entirely on external cloud platforms.
Not automatically. That depends on the architecture, the AI models being used, the integrations required and whether any external services form part of the solution.
We can design local, private or hybrid architectures depending on the level of control your organisation requires.
The hardware depends on the workload. Some use cases may only require compact edge computing hardware, while larger AI models or heavier workloads may require dedicated GPU servers or more substantial infrastructure.
We assess the use case before recommending hardware.
Yes, where suitable integrations are available. Local AI can potentially connect with CRMs, databases, ERP platforms, documents, internal applications, cameras, sensors and other business systems.
Yes. A hybrid architecture can combine local AI infrastructure with selected cloud services so different workloads run in the environment that best suits them.
It can provide greater control over where information is stored and processed, but security still depends on the quality of the overall system design, access controls, network configuration, updates and operational practices.
Yes. Ongoing support can include infrastructure monitoring, software updates, model updates, integration support, workflow improvements and expansion into additional use cases.
Start with the workload, information or business process you want AI to improve.
We can then assess whether local infrastructure, private cloud, public cloud or a hybrid approach makes the most sense.
Want More Control Over Where Your AI Runs?
Talk to Media Booth® about dedicated local AI infrastructure, edge AI, private systems and hybrid architectures built around your business.
Talk to us about On Premises AI
Tell us what you want AI to do, what information it needs to work with and why local infrastructure matters to your organisation.
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Does Your AI Need to Stay Closer to Home?
Start with the workload and the level of control you actually need.
We can assess whether your use case is better suited to local infrastructure, a private environment, cloud AI or a hybrid architecture.
Assess whether local AI infrastructure is appropriate
Identify suitable AI models, workloads and hardware requirements
Connect AI with approved internal systems and data
Design cloud, private or hybrid infrastructure where required
Build a practical deployment and support plan
You do not need to know what hardware or AI model you need before speaking with us. Start with the problem, the workload and the level of control your organisation requires.
The Media Booth® Advantage
We combine infrastructure, software development, integrations, automation and AI to build local and hybrid AI systems around the way your organisation actually operates.