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...The framework is transport-agnostic: it commonly uses Tokio with serde-based codecs, but you can plug in your own framing and serialization. It bakes in RPC concerns such as deadlines, cancellation, and context propagation so production behavior is predictable under load. The programming model feels native—call methods on a client stub and await results—while the server side exposes clean concurrency primitives for handling many requests. Because the interface is just Rust code, refactoring and IDE tooling work naturally without an external IDL.

...You provide some functions that are executed for new video frames and Pipeless takes care of everything else. You can easily use industry-standard models, such as YOLO, or load your custom model in one of the supported inference runtimes. Pipeless ships some of the most popular inference runtimes, such as the ONNX Runtime, allowing you to run inference with high performance on CPU or GPU out-of-the-box. You can deploy your Pipeless application with a single command to edge and IoT devices or the cloud.

ZoKrates is a toolbox for zkSNARKs on Ethereum. It helps you use verifiable computation in your DApp, from the specification of your program in a high-level language to generating proofs of computation to verifying those proofs in Solidity. Zero-knowledge proofs (ZKPs) are a family of probabilistic protocols, first described by Goldwasser, Micali and Rackoff in 1985. One particular family of ZKPs is described as zero-knowledge Succinct Non-interactive ARguments of Knowledge, a.k.a. zkSNARKs....