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Скачать или смотреть DeepSeek, Modal, and Plan Caching : Stop Your Token Burn , The 2025 Agentic AI Stack

  • The Economic Architect
  • 2025-12-28
  • 6
 DeepSeek, Modal, and Plan Caching : Stop Your Token Burn , The 2025 Agentic AI Stack
Agentic AIDeepSeek V3Groq LPUModal CloudAgentOpsCloudPilot AIPlan CachingCost Per TaskCPTLLM InfrastructureServerless GPUAI Cost Optimization 2025Infinite Loops AIIdle ComputeLLMOpsOpenAI GPT-OSSAI Engineering.
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The 2025 Agentic AI Stack: Stop the Token Burn
Still paying a "brand name tax" for intelligence? Congratulations, you’re officially a charity for cloud providers. In 2025, if your agentic workflow isn't hitting the new industrial floor for pricing, you’re just incinerating your runway. This is the High-Speed Technical Breakdown of the stack you need to survive the "Token Winter."

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1. The Logic Engine: DeepSeek-V3 & Groq
Stop pretending you need 1M token models for standard multi−step logic
.DeepSeek−V3 has smashed the floor with un−cached rates of roughly 0.70 per million tokens (input + output), while cache hits drop to a staggering $0.028 per million. But logic is useless if it's bottlenecked by CUDA latency. Move your inference to Groq LPUs, pushing 1,000 tokens per second with total determinism—because agents that "think" slowly aren't agents; they’re just expensive chatbots.

2. Compute: Serverless 2.0 with Modal
The enemy is Idle Compute. Maintaining an always-on GPU cluster for spiky agent workloads is architectural malpractice. Move your execution layer to Modal. It provisions serverless GPU containers in sub-seconds and scales to absolute zero the millisecond your task finishes. If you’re trapped in Kubernetes, deploy CloudPilot AI as your autonomous SRE to predict Spot Instance interruptions 45 minutes in advance, slashing EKS burn by up to 90%.

3. The Brain: Agentic Plan Caching (APC)
Standard semantic caching is for cavemen; 2025 is about Plan Caching. Stop paying a heavy model to re-plan the same multi-step workflow 10,000 times. Don't think twice. Cache the thought. By extracting structured plan templates and adapting them with lightweight models like gpt-oss-20b, you can slash costs by 50.31% and drop latency by 27.28%.

4. Metrics: Obsess Over CPT
Vanity metrics like "Accuracy" in a vacuum are dead. You must obsess over CPT (Cost Per Task). Use AgentOps to visualize your reasoning traces and tool calls in real-time. This is your only weapon against the Infinite Loop—those recursive "neural howlrounds" that burn your context window for zero gain. Identify them, trace them, and kill them before they eat your Series A.
Architect it right, or burn your runway. Your choice.

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#AgenticAI #DeepSeek #Groq #Modal #AIStrategy #LLMOps #CloudPilotAI #CostOptimization #AI2025 #AgentOps

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