A video interview on how enterprises scaling AI deployments are straining traditional cloud infrastructure, and why an "AI Grid" model — distributing AI inference across edge locations rather than concentrating it in a handful of facilities — changes the economics of running AI in production for UK and international organisations.
#distributed cloud
10 items
Digital-native companies are reconsidering their dependence on hyperscalers due to escalating expenses, vendor lock-in, and suboptimal performance. Examines how distributed cloud methods can provide greater operational flexibility and cost reductions.
On-demand fireside chat with Computer Weekly's Bryan Glick examining how enterprises are reshaping cloud strategy in 2025 by reframing cloud economics beyond cost assumptions and embracing AI, hybrid, and distributed architectures.
Fireside chat exploring how enterprises can leverage real-time intelligence and edge computing to drive operational efficiency. Covers why real-time responsiveness matters, how distributed architectures overcome cloud limitations, and practical steps for becoming a real-time enterprise.
On-demand session with Bryan Glick (Computer Weekly) exploring key trends shaping cloud innovation in EMEA in 2025, including AI integration, edge-native applications, and distributed cloud, with focus on application modernisation and cost optimisation.
John's October 2024 interview with TFiR on Akamai's Generalized Edge Compute (Gecko): where it had reached by then, and the phased rollout he described. The region counts in the conversation are the 2024 plan as it stood, not a current roadmap; managed containers and fleet management were the next waves he outlined.
John Bradshaw argues that edge computing transforms developer experience by letting programmers think of their workload as a fully distributed application — positioning larger components closer to end users and fundamentally changing how distributed systems are architected.
John's August 2024 interview with TFiR on the problems edge computing actually creates: distributed data gravity and workload orchestration. He argues the binding constraint is operator and developer experience rather than raw capacity, and sets out how Akamai approaches it.
John's August 2024 interview with TFiR on why latency is a partnership problem as much as an infrastructure one, with gaming as the worked example. He describes Akamai's position as an infrastructure provider whose traffic reaches consumers only through somebody else's product.
John's June 2024 interview with TFiR on Akamai's Generalized Edge Compute (Gecko) and the case for putting full compute, not just caching, close to users. The roadmap he previews — region count, managed containers, fleet management — is the 2024 plan as it stood at the time of recording.