Machine Learning & Business

In the rapidly evolving world of artificial intelligence (AI), the ability to run AI processes offline using the right hardware has become increasingly significant. For businesses and developers keen on pushing the boundaries of AI, having access to powerful local hardware for running experiments is a game-changer. This approach not only facilitates cutting-edge research and development but also offers a level of data security and cost efficiency that cloud computing struggles to match.

Our company has invested heavily in an array of high-performance GPUs to support our AI experiments and projects. This includes 6 Nvidia Tesla V100s with 32GB of VRAM, 6 Nvidia RTX A6000s boasting 48GB, 4 Nvidia A100s at 80GB, 4 Nvidia A800s with 40GB, and 6 AMD MI210s, each with a remarkable 64GB of VRAM. Additionally, we maintain another separate fleet of "gaming class" GPUs, each equipped with 24GB of VRAM, which our developers utilize for machine learning experiments with both large language models (LLMs) and image generation tasks.


For those venturing into AI, HuggingFace emerges as a pivotal resource. It provides access to a myriad of AI models, including those not openly available or restricted for commercial use. However, it's the free-to-use and fully open models that truly democratize AI, offering capabilities comparable to those of ChatGPT version 3. Importantly, for published models with available weights, it's feasible to integrate local data for fine-tuning outputs, bypassing the need for exhaustive retraining. This is particularly advantageous given the steep cloud costs associated with GPU usage, which, due to sustained demand and production constraints, are unlikely to decrease anytime soon. Our local hardware setup not only circumvents these costs but also ensures that sensitive data remains securely within our premises during experiments.


The realm of AI extends beyond LLMs to encompass models capable of coding assistance and even generating images. Websites like serve as gateways to the vast potential of these models, offering users the ability to preview the capabilities of various AI models.

Moreover, the integration of different models opens up new avenues for creativity and innovation. By combining, for instance, a product photography model with an animation model, it's possible to create brief animations or enhance visual content in ways previously labor intensive. When used as a complement to human ingenuity rather than a replacement, these tools can elevate creative projects to new heights.

The possibilities with non-cloud AI processing are vast and continue to expand. Whether you're exploring large language models, seeking coding assistance, or venturing into the realm of AI-driven image generation, the right combination of hardware and open-source models can transform how one might approach an AI project.

Generated with SDXL halcyon model, 26 seps, CFG scale 7, random seed 12803

We encourage anyone curious about machine learning, offline inferencing, or embarking on their next big project to reach out. Our team is eager to discuss how we can leverage our expertise and resources to help bring your ideas to life in this exciting era of artificial intelligence.