Where AI meets cloud-native computing

Here’s the core issue: Most AI projects start with the model. Data scientists build something compelling on a laptop, perhaps wrap it in a Flask app, and then throw it over the wall to...

AI benchmarking tools evaluate real world performance

In addition, he said, the models themselves “have progressed significantly over the last two-to-three years, and this means that the evaluation criteria need to...

Hyperlight Wasm points to the future of serverless

The future of serverless There’s a lot of work going on in the WebAssembly community to define a specification for a component model. This is...

The rise of AI model-as-a-service ecosystems

The rapid growth of model catalogs from hyperscalers and third-party providers is creating an environment where the heavy lifting of model hosting,...

Python popularity climbs to highest ever – Tiobe

Python continues to soar in the Tiobe index of programming language popularity, rising to a 25.35% share in May 2025. It’s the highest Tiobe...

Perplexity’s open-source tool to run trillion-parameter models without costly upgrades

The obvious answer would be Nvidia’s new GB200 systems, essentially one giant 72-GPU server. But those cost millions, face extreme supply shortages, and aren’t...
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What you need to know about Go, Rust, and Zig

Every language has a life cycle. Sometimes it starts with a relatively narrow use case and escapes its container; sometimes it’s intended...
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