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Скачать или смотреть 🧐👉 DeepSeek's New AI Slashes Costs 7x, Boosts Speed 3x – But There's a Catch!

  • QixNews
  • 2025-10-22
  • 12
🧐👉 DeepSeek's New AI Slashes Costs 7x, Boosts Speed 3x – But There's a Catch!
AIInferenceChinaChipsCostReductionDeepSeekAIMoEModelQixNewsAIShorts
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Описание к видео 🧐👉 DeepSeek's New AI Slashes Costs 7x, Boosts Speed 3x – But There's a Catch!

DeepSeek has just launched its groundbreaking 685B Mixture-of-Experts (MoE) AI model, v3.2, set to revolutionize long-context processing. 🚀 This new model introduces an innovative token-attention mechanism, making AI inference 2 to 3 times faster and an astonishing 6 to 7 times cheaper compared to its predecessor, v3.1. This is a game-changer for anyone dealing with heavy AI workloads! 💰

The v3.2 model comes with MIT-licensed weights, promoting widespread open-source adoption and making it accessible for developers and researchers worldwide. 🌐 Its API pricing is also highly competitive: $0.28 per million input tokens, $0.028 per million cached tokens, and $0.42 per million output tokens.

What's really interesting is its specific optimization for Huawei and other domestic Chinese chips. 🇨🇳 This addresses critical hardware compatibility needs for the local market and opens up significant business opportunities for AI providers focusing on cost-sensitive or China-centric deployments. While overall performance remains comparable to v3.1, there are modest gains in coding and agentic tasks, with minor trade-offs in science and math workloads.

From a business perspective, this model significantly lowers the barrier to entry for AI deployment, especially in industries where cost has been a major hurdle. Think about startups in software development leveraging improved coding tasks, or companies building personalized education platforms. 💡 The MIT license also encourages customization and new revenue streams through intellectual property.

Technically, the MoE architecture's selective activation of experts mitigates traditional transformer scaling issues, even reducing energy consumption by up to 50% on Huawei Ascend chips. This positions DeepSeek as a key player in the competitive AI landscape, driving innovation in efficient AI. 📈

This innovation aligns with the global trend towards more scalable and cost-effective large language models, challenging incumbents and potentially leading to a 20% increase in AI adoption rates in emerging markets by 2026. DeepSeek's v3.2 is not just an upgrade; it's a strategic move reshaping the future of AI. ✨

#DeepSeekAI #MoEModel #AIInference #ChinaChips #CostReduction #QixNewsAI #Shorts

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