Cloud Computing

Generative AI diffusion models such as Stable Diffusion and Flux produce stunning visuals, empowering creators across various verticals with impressive image generation capabilities. However, generating high-quality images through sophisticated pipelines can be computationally demanding, even with powerful hardware like GPUs and TPUs, impacting both costs and time-to-result. The key challenge lies in optimizing the entire

Organizations use multiple clouds to gain agility, use resources more efficiently, and leverage the strengths of different cloud providers. However, managing application traffic across these environments is challenging. To support predictable services, organizations need a system that intelligently selects the optimal backend for each request. The selection takes into account both the real-time health of

It’s no secret that large language models (LLMs) and generative AI have become a key part of the application landscape. But most foundational LLMs are consumed as a service, meaning they’re hosted and served by a third party and accessed via APIs. Ultimately, this reliance on external APIs creates bottlenecks for developers. There are many

The continued advancement of experimental quantum computing has raised concerns about the security of many of the world’s widely-used public-key cryptography systems. Crucially, there exists the potential for sufficiently large, cryptographically-relevant quantum computers to break these algorithms. This potential highlights the need for developers to build and implement quantum-resistant cryptography now. Fortunately, post-quantum cryptography (PQC)

Editor’s Note: Today’s post is by Dr. Jill Matterface, Education and Training Specialist for the Royal Air Force. Early on in her career with the Royal Air Force Air Cadets, Dr. Jill Matterface, Education and Training Specialist for the RAF, discovered that 27% of cadets come from disadvantaged areas in the UK. These cadets, and