{"product_id":"onnx-runtime-web-talia-graham-9798273118720","title":"Onnx Runtime Web: BUILD AI-POWERED APPS WITH WEBGPU AND MACHINE LEARNING: Deploy Stable Diffusion and Transformers Directly in Browsers with Real Proj","description":"\u003cp\u003e\u003cb\u003eBuild real on device AI apps that run fast in the browser with WebGPU and ONNX Runtime Web.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eDevelopers want private low latency AI without a complex backend. The challenge is turning research models into reliable browser features that load quickly, fit memory limits, and stay responsive across devices.\u003c\/p\u003e\u003cp\u003eThis book gives you a production workflow. You will prepare models, choose execution providers, wire WebGPU or WASM cleanly, and ship two complete projects that prove the approach end to end.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eset up a secure https development environment and shipable builds\u003c\/li\u003e\n\u003cli\u003echoose webgpu webnn or wasm at runtime and fall back safely\u003c\/li\u003e\n\u003cli\u003eprepare onnx models from pytorch or transformers with the right opset\u003c\/li\u003e\n\u003cli\u003esimplify graphs convert to ort format and validate accuracy\u003c\/li\u003e\n\u003cli\u003euse io binding to keep tensors on the gpu and cut copies\u003c\/li\u003e\n\u003cli\u003eprobe shader f16 limits and select workgroup sizes that fit devices\u003c\/li\u003e\n\u003cli\u003ecache large models with cache storage indexeddb and opfs\u003c\/li\u003e\n\u003cli\u003estream weights with range requests and shard layouts that work on cdns\u003c\/li\u003e\n\u003cli\u003epackage wasm and model assets with cors corp coop and coep set correctly\u003c\/li\u003e\n\u003cli\u003emeasure performance with browser tools and onnx runtime profiling\u003c\/li\u003e\n\u003cli\u003etroubleshoot fallbacks and slow kernels with a repeatable checklist\u003c\/li\u003e\n\u003cli\u003ebuild stable diffusion turbo in a worker with webgpu acceleration\u003c\/li\u003e\n\u003cli\u003ebuild a transformers toolkit chat embeddings and whisper tiny asr\u003c\/li\u003e\n\u003cli\u003eship version pinned repeatable builds with integrity checks\u003c\/li\u003e\n\u003cli\u003eadd monitoring error capture and feature telemetry for production\u003c\/li\u003e\n\u003cli\u003eplan security and privacy for permissions storage and fingerprinting risks\u003c\/li\u003e\n\u003cli\u003eautomate cross browser and gpu tests with playwright and webdriver bidi\u003c\/li\u003e\n\u003cli\u003erun safe rollouts with staged releases crash and performance budgets\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis is a code heavy guide with working TypeScript WGSL and web platform snippets that you can paste into real projects.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eGet the practical playbook for shipping browser based AI, grab your copy today.\u003c\/b\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Talia Graham\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798273118720\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 11\/05\/2025\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 322\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.23lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 10.00h x 7.00w x 0.67d","brand":"Talia Graham","offers":[{"title":"Paperback","offer_id":49083780235519,"sku":"9798273118720","price":34.99,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/onnx-runtime-web-talia-graham-9798273118720","provider":"WR Book House","version":"1.0","type":"link"}