Edge AI Hardware for Software Companies

How software companies can take AI applications from development to real-world deployment with the right Edge AI platform.

Developing an AI application is one challenge. Deploying it reliably into real-world environments is another.

For Independent Software Vendors (ISVs), bringing AI-powered software to market increasingly involves decisions beyond the application itself. Processing performance, hardware compatibility, connectivity, operating conditions and long-term availability all influence how successfully software can be delivered to customers.

Whether you're developing computer vision, intelligent monitoring or industrial automation software, selecting the right hardware is an important step towards commercialisation.

The good news? You don't have to become a hardware specialist to make it happen.

The Challenge: From Software Development to Physical Deployment

An AI application might perform exceptionally well in a development environment, but deploying that same software across multiple customer sites introduces new challenges.

Different applications demand different levels of processing power, connectivity and environmental resilience. A computer vision application inspecting products on a manufacturing line may require dedicated GPU acceleration, while a lightweight monitoring application could operate efficiently on an integrated AI processor.

For ISVs, several considerations become particularly important:

Software compatibility: Ensuring the hardware supports the AI frameworks, models and operating systems used during development.

Processing performance: Selecting sufficient CPU, GPU or NPU acceleration to deliver the required inference performance.

Deployment consistency: Establishing repeatable hardware configurations for installations across multiple customer environments.

Connectivity: Supporting the cameras, sensors, networks and external devices required by the application.

Commercial scalability: Moving beyond individual proof-of-concept installations towards reliable, supportable customer deployments.

Without the right hardware foundation, these challenges can consume development resources and delay opportunities to commercialise software.

Finding the Right Hardware with Innodisk's APEX Series

There is no single hardware platform suited to every AI application.

That's why Innodisk's APEX series brings together industrial Edge AI systems powered by NVIDIA, Intel and Qualcomm technologies, providing different levels of processing capability, acceleration and connectivity.

For software companies, this creates opportunities to evaluate hardware against their specific application rather than adapting their software around a predetermined system.

Depending on the workload, the APEX range can support applications including:

Computer vision and visual inspection: Processing camera feeds to identify defects, objects or anomalies.

Intelligent surveillance and safety: Running AI inference locally to identify events or conditions requiring attention.

Industrial monitoring: Analysing equipment and operational data closer to where it is generated.

Advanced AI inference: Supporting more demanding workloads where dedicated processing acceleration is required.

The appropriate system depends on factors including software architecture, AI model requirements, processing performance, connected devices and the intended deployment environment.

A Closer Look: Innodisk's APEX-P200

For ISVs developing more demanding AI applications, particularly those using NVIDIA-based development environments, the APEX-P200 provides an industrial computing platform worth considering.

Combining an Intel Core i7 processor with NVIDIA RTX 2000 Ada graphics acceleration, the system offers dedicated GPU computing within a compact industrial design.

Key capabilities include:

Dedicated NVIDIA acceleration: 3,072 CUDA cores, 96 Tensor cores and 8GB GDDR6 GPU memory for compatible AI inference workloads.

Intel processing: A 13th Generation Intel Core i7 processor supporting application processing alongside GPU acceleration.

Memory and storage: Pre-installed DDR5 memory and industrial-grade NVMe storage, with configuration options.

Industrial connectivity: Multiple 2.5GbE LAN interfaces, including PoE support, alongside USB and serial connectivity.

Remote management: Out-of-band management capabilities to help support deployed systems.

For software companies developing applications around NVIDIA-compatible frameworks, the APEX-P200 offers a potential route from development hardware to an industrial deployment platform.

However, not every application requires dedicated GPU acceleration. Lightweight inference workloads may be better suited to Innodisk's Intel-based APEX-E100, while other applications may benefit from Qualcomm-powered architectures.

The priority is finding hardware that fits the software, rather than the other way around.

From First Deployment to Commercial Rollout

Selecting hardware is only the beginning.

As ISVs begin deploying applications across customer sites, they must consider how those installations will be configured, supported and repeated.

A validated hardware platform can help establish greater consistency across deployments, reducing the need to reassess computing requirements for every new customer installation.

For example, a software company developing AI-powered visual inspection could evaluate its application on a suitable APEX system, validate the processing and camera requirements, and establish a repeatable hardware configuration for future installations.

This creates a more practical foundation for scaling an AI software business without having to develop and manufacture the underlying computing hardware.

How Simms Helps ISVs Take Their Software to Market

At Simms International, our Intelligent Solutions team helps software companies bridge the gap between application development and real-world deployment.

Working with technology partners including Innodisk, we help ISVs identify, evaluate and source hardware aligned with their software and commercial requirements.

Through our Define, Develop and Deploy approach, we can support:

Application discovery: Understanding your software, AI models, processing requirements and intended deployment environments.

Hardware selection: Identifying suitable computing platforms, accelerators and configurations.

Technical evaluation: Exploring hardware compatibility, connectivity and opportunities for testing.

Deployment planning: Helping establish suitable hardware configurations for customer installations.

Commercial rollout: Supporting product sourcing, supply planning and ongoing hardware requirements as deployments expand.

Our role is to simplify the hardware journey, allowing your development team to focus on what makes your software valuable.

You've Built the Intelligence. Let's Deploy It.

Whether you're preparing for your first commercial installation or looking to standardise hardware across an expanding customer base, selecting the right Edge AI platform is an important part of bringing your software to market.

With Innodisk's APEX systems and support from Simms Intelligent Solutions, you can explore a practical pathway from software development to physical deployment.

Speak to our Intelligent Solutions team about finding the right hardware for your AI application.