{"product_id":"enterprise-llm-development-with-nvidia-caleb-tanaka-9798272845498","title":"Enterprise LLM Development with Nvidia Nemo Framework: Train, Fine-Tune, and Deploy Custom Models with Lora, Nemo Curator, and Distributed Gpu Acceler","description":"\u003cp\u003e\u003cb\u003eBuild and ship enterprise LLMs with NVIDIA NeMo, from clean data to fast, reliable deployment.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eEnterprises need custom models that respect governance, run efficiently on GPUs, and integrate with existing platforms. Generic tutorials stop short of what production teams require, leaving gaps in data quality, alignment, serving, and observability.\u003c\/p\u003e\u003cp\u003eThis book provides a complete, field tested workflow using NeMo Curator, NeMo training and adapters, NeMo Retriever, NeMo Aligner, TensorRT LLM, Triton, and NIM. You get realistic configurations, scalable patterns, and evaluation practices that hold up in production.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eDesign data pipelines with NeMo Curator for language ID, PII redaction, quality scoring, and multi stage deduplication\u003c\/li\u003e\n\u003cli\u003eAssemble domain specific corpora for continued pretraining and supervised instruction tuning\u003c\/li\u003e\n\u003cli\u003eChoose and adapt foundation models, apply LoRA and prompt learning, and export clean adapters\u003c\/li\u003e\n\u003cli\u003eStand up retrieval augmented generation with NeMo Retriever and vector search integration\u003c\/li\u003e\n\u003cli\u003eAlign models with RLHF, reward modeling, and DPO while enforcing safety policies\u003c\/li\u003e\n\u003cli\u003eQuantize and optimize with TensorRT LLM, then serve on Triton or NIM with OpenAI compatible endpoints\u003c\/li\u003e\n\u003cli\u003eRun distributed training with data, tensor, and pipeline parallelism plus AMP and robust checkpointing\u003c\/li\u003e\n\u003cli\u003eDeploy on Kubernetes with batching, autoscaling, and GPU scheduling tuned for throughput and latency\u003c\/li\u003e\n\u003cli\u003eMonitor tokens, latency, and quality, run A B tests, version models, and manage cost for high volume traffic\u003c\/li\u003e\n\u003cli\u003eBuild multimodal and speech systems with NeMo ASR and TTS, and deliver real enterprise use cases end to end\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis is a code heavy guide. Working Python, YAML, JSON, and Shell examples show end to end projects you can adapt directly to your stack.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eGrab your copy today and deliver enterprise ready LLMs with confidence.\u003c\/b\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Caleb Tanaka\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798272845498\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\/03\/2025\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 340\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.30lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 10.00h x 7.00w x 0.71d","brand":"Caleb Tanaka","offers":[{"title":"Paperback","offer_id":48014327480575,"sku":"9798272845498","price":29.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_143097bc-0594-4893-87f3-79b83449ac92.jpg?v=1767747920","url":"https:\/\/www.whiterainbookhouse.com\/products\/enterprise-llm-development-with-nvidia-caleb-tanaka-9798272845498","provider":"WR Book House","version":"1.0","type":"link"}