Deploy DeepSeek V4-Flash on Alibaba Cloud PAI-EAS

Learn how to deploy DeepSeek V4-Flash on Alibaba Cloud PAI-EAS. Get to know the four different approaches — Token API, PTU, Model Unit (MU), and Bare Metal GPU. We compare pricing models, walk through a real PAI-EAS deployment from scratch, and run head-to-head benchmarks to show you the best performance per dollar.

Whether you're building an AI-powered SaaS product, running an inference pipeline, or evaluating cloud GPU options, this video gives you the real numbers to make the right decision.

Resources mentioned in this video:

Model Studio Console: https://int.alibabacloud.com/m/1000413252/
PAI-EAS Documentation: https://int.alibabacloud.com/m/1000413260/
PAI-EAS Model Gallery: https://int.alibabacloud.com/m/1000413276/
Model Studio Token Plan Overview: https://int.alibabacloud.com/m/1000413268/
DeepSeek V4 Technical Report (PDF): https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro/blob/main/DeepSeek_V4.pdf
Model Studio DeepSeek API Reference: https://int.alibabacloud.com/m/1000413284/
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0:00 - Introduction
0:55 - Pricing Models Compared: Token API, PTU, Model Unit & GPU
5:00 - What Is DeepSeek V4-Flash?
7:28 - Using Model Studio with Token-Based API
8:10 - Overview of PAI-EAS (Elastic Algorithm Service)
9:13 - Preparing Cloud Resources for Deployment
14:25 - Step-by-Step: Deploying DeepSeek V4-Flash on PAI-EAS
20:25 - Retrieving Your API Key & Endpoint
24:10 - Running the Performance Benchmark
26:35 - Interpreting Benchmark Results

#AI #DeepSeek #PAI #ModelStudio #Tutorial #LLMs #Token #GPUInference

Видео Deploy DeepSeek V4-Flash on Alibaba Cloud PAI-EAS канала Alibaba Cloud