Innovation at Exaud: Our New AI Workstation

At Exaud, we’re always looking for ways to stay ahead of the curve and explore new possibilities in technology. Artificial Intelligence has been an important part of our journey, from integrating OpenAI APIs through Microsoft to delivering smart, cloud-powered solutions for our clients.

However, we’ve taken things a step further: we've purchased a 4090 GPU and built a computer to handle local tasks.

This isn’t just about having a powerful piece of hardware. It’s about unlocking new opportunities to experiment, innovate, and deliver even more value to our partners and clients.

Why Building Our Own AI Workstation Is a Smart Move

Many businesses today run AI purely in the cloud, and that works great for a lot of use cases. But by adding our own RTX 4090-powered AI workstation to the mix, we unlock capabilities that are difficult, expensive, or even impossible to achieve with a cloud-only setup.

Here’s why doing local AI tasks matters:

1. Data Privacy & Security

Running AI models locally means sensitive data never leaves our premises.

-Perfect for clients in finance, healthcare, legal, or any sector with strict compliance rules.

-No risk of data being stored on third-party servers. We control the full pipeline.

2. Lower Costs for Heavy, Frequent Jobs

Some AI workloads are large and run often. In the cloud, these costs add up fast.

-Once we own the hardware, we can run unlimited inference jobs at no extra cost per request.

-Ideal for projects that require continuous fine-tuning or frequent retraining.

3. Speed & Real-Time Performance

No round-trip latency to the cloud. Everything runs on-site.

-This enables real-time computer vision, robotics control, and ultra-fast text/image generation.

-Great for demos, prototypes, and interactive AI tools that need instant feedback.

4. Custom AI Models, Without Cloud Restrictions

Cloud AI APIs are powerful, but they have limits:

-You can’t always upload huge proprietary datasets.

-You may be restricted from running niche or open-source models.

-With local hardware, we can run any model we want, including bleeding-edge open-source LLMs, image generators, or multimodal models.

5. Offline Capabilities

Our AI solutions can work in environments with poor or no internet connectivity.

-Useful for field work, industrial sites, ships, or secure internal networks.

6. A Test Lab for Innovation

This workstation is a sandbox for R&D.

-We can experiment with different architectures (LLMs, vision, audio, multimodal) without worrying about API costs or rate limits.

-Let's quickly benchmark and compare cloud vs local to recommend the best approach to clients.

Our AI workstation marks an exciting new chapter at Exaud. It provides us with the tools to push boundaries, learn more efficiently, and create solutions that truly make a difference. This is just the beginning, and we look forward to sharing our discoveries, projects, and developments with you.