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AI in the UK: A Panel Discussion on the Future of Artificial Intelligence

Join our AI panel discussion with Josh Mesout, James Faure, Abdul Hummaida, Jonas Vermeulen, and Daniel Miodovnik, as they come together to explore the rapidly evolving landscape of artificial intelligence. The conversation delves into the real-world applications of AI, its future trajectory, and the critical considerations surrounding security, privacy, and responsible AI practices.

Built for More: Unlocking a Sovereign and AI-Driven Future

Join us as Civo's leadership team, including Mark Boost, Deshish Majrekar, Kelsey Hightower, and Josh Mesout, come together to share their vision for a new kind of cloud that prioritizes data sovereignty, simplicity, and flexibility. This session explores the challenges of traditional cloud infrastructure and how Civo is addressing them with its cloud native platform. Civo's Flex Core private cloud solution is also showcased, highlighting its applications in various industries, including cybersecurity and advanced materials design.

Startup GPU Hacks: Max Performance, Min Cost

Running a startup means every resource counts, especially when it comes to expensive GPUs. In this video, we break down proven GPU hacks to help you get maximum AI performance at minimum cost. Learn how to choose the right hardware, use pre-trained models, leverage quantization, adopt CPU-efficient frameworks, and make the most of affordable GPU providers. Whether you’re prototyping, training, or deploying AI models, these strategies will help you deliver big results without a big budget.

The Digital Sovereignty Revolution: Why Big Tech Is Losing UK Trust

In a world where data is power, UK businesses are demanding control. Civo’s latest whitepaper, The Digital Sovereignty Revolution, uncovers the top challenges UK businesses face in securing true data sovereignty from eroding trust in Big Tech to geopolitical instability. Our latest research, based on a survey of 1,000+ UK IT decision-makers, reveals the extent to which sovereignty is reshaping the UK's tech sector. From the risks of relying on US-based providers to the benefits of multi-cloud strategies, the whitepaper explores key trends and what they mean for UK businesses.

Panel Discussion: Understanding the importance of GPUs for AI success

Are you curious about the role of GPUs in AI and how they can accelerate your projects? Join Kunal Kushwaha (Field CTO), Ben Norris (AI Engineer), and Kendall Miller (Strategic Business Development) in this upcoming panel discussion as they dive into the world of GPUs and their significance in AI.

Boost Your AI Projects with GPUs: Live Expert Insights Webinar

Are you ready to supercharge your AI initiatives? Join our live webinar on July 16, 2025, at 05:00 PM, where Kunal Kushwaha, Ben Norris, and Kendall Miller will dive into the world of GPUs and their critical role in AI. Get ready to explore the latest insights and trends in GPU technology, including: This webinar is perfect for AI enthusiasts, startup founders, and engineers looking to stay ahead of the curve.

Building Stronger Tech Communities: Foundations, Success Stories, and Future Directions

Discover the secrets to building thriving tech communities in Austin. Join industry experts Cherie Werner (FIESTA), Kasey Randall (Good Code), Cyndi Schultz (Capital Factory), Laura Santamaria (Red Hat), and Emily Gupton (SKG Texas) as they share their insights on community building, personal success stories, and the future of tech communities. Recorded at Civo Navigate Austin 2025, this panel discussion offers a unique perspective on the challenges and opportunities of building strong, inclusive, and supportive communities.

Is AI About to Create Its Own Language? Here's What You Need to Know!

This panel brings together experts Josh Mesout (Civo), Nobel Chowdary Mandepudi (Arm), Jimil Patel (Intuit), Numa Dhamani (iVerify), and James Gress (Accenture) to discuss the cutting edge of AI and machine learning. They explore when AI might develop its own language beyond human syntax, the evolving landscape of ML frameworks such as MLIR, Mojo, and JAX, and the challenges involved in bridging the gap from AI research to production while optimizing models for deployment.