As the demand for large language models (LLMs) and AI-powered applications continues to grow, businesses are facing challenges in scaling compute capabilities and managing costs. GPUs have become the cornerstone of AI innovation, but their integration requires scalable and efficient solutions tailored to enterprise needs.

In a recent webinar, hosted by Kunal Kushwaha, Field CTO at Civo, Josh Mesout, Chief Innovation Officer and Simon Hansford, Chief Commercial Officer, explored how Civo is enabling organizations to harness the full potential of GPUs and LLMs. The session provided valuable insights into the current state of AI adoption, the challenges of scaling AI deployments, and the solutions that Civo offers to address these challenges.

To watch the full recording, check it out on our YouTube channel 👇

The rise of AI adoption

Simon highlighted the rapid growth of AI adoption, citing predictions from Gartner that 80% of enterprises will be using generative AI APIs in production by 2026. He also discussed the various industries that are already leveraging AI, including pharmaceuticals, marketing, and film. For example, by 2025, 30% of new drugs in the pharmaceutical industry are expected to be created using generative AI, while 30% of outbound marketing messages from enterprises will be created and sent by generative AI.

Overcoming AI deployment hurdles

One of the major challenges of scaling AI adoption is data sovereignty and privacy. Simon emphasized the importance of having control over data and ensuring that it is not used for training purposes without consent. Civo's platform addresses this challenge by providing a privacy-focused and compliant solution that allows businesses to deploy AI models while maintaining full control over their data.

Josh demonstrated how Civo's platform simplifies the deployment of GPUs and LLMs, enabling businesses to deploy powerful AI models with minimal setup time. He also highlighted the importance of optimizing GPU performance to reduce costs and improve efficiency in AI and machine learning workflows.

How Civo simplifies AI scalability

Civo's platform offers several key features and benefits that make it an attractive solution for businesses looking to scale their AI deployments. These include:

  • Deploying LLMs at scale: Simplify deployment with one-click setups and intuitive tools.
  • Optimizing GPU performance: Reduce costs and improve efficiency with NVIDIA-powered GPUs.
  • relaxAI: Ensure data privacy and sovereignty with Civo’s compliant, privacy-first AI assistant.

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Effortless AI deployment: watch live demonstrations

During the webinar, Josh and Kunal performed live demonstrations of Civo's platform, showcasing the ease of deploying and running AI models. The demos highlighted the simplicity and efficiency of Civo's solution, making it easier for businesses to get started with AI.

Kunal’s demo goes through Civo’s one click deployment solution to enable you to deploy any open source model available including Llama 3.3, Mistral.

Josh's demo showcases relaxAI and all its features including the latest which we will release in production soon such as Document upload and Live Web Search.

Practical advice for AI success in business

The webinar provided several key takeaways and recommendations for businesses looking to scale their AI deployments. These include:

  • Start small: CBegin by validating use cases with open-source tools to ensure that AI is a good fit for your business.
  • Focus on privacy: Adopt privacy-compliant solutions like relaxAI for regulated industries.
  • Leverage cost-effective infrastructure: Optimize GPU usage to reduce costs.
  • Collaborate across teams: Align technical and non-technical teams for maximum impact.

Are you ready to unlock AI's potential?

The journey to scaling AI adoption comes with its challenges, data privacy, infrastructure scalability, and cost management can feel like significant hurdles. But with the right tools and expertise, these challenges can become opportunities for growth and innovation.

Civo’s solutions, including powerful GPUs and privacy-first tools like relaxAI empower businesses to overcome these barriers. By starting small, prioritizing compliance, and leveraging cost-effective infrastructure, organizations can accelerate their AI initiatives and drive real impact.

If you still want to learn more about what we are doing at Civo, check out some of these resources:

  1. Democratizing AI Infrastructure: Addressing GPU Accessibility and Cost Barriers
  2. How is Civo making AI more accessible through affordable GPUs?
  3. Civo announces Cloud GPU price cuts, now starting at $0.79 per GPU/hour
  4. Civo Announces FlexCore: A New Private Cloud Solution
  5. How to deploy AI Models on GPU clusters