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Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Feb 28, 2026 · Artificial Intelligence

How DualPath Revives Idle Network Cards to Break Long‑Context I/O Bottlenecks in DeepSeek V4

The article analyzes the KV‑Cache storage I/O bottleneck that limits agentic LLM inference, introduces the DualPath architecture with a storage‑to‑decode data path and RDMA‑based scheduling, and shows up to 1.87× offline and 1.96× online throughput gains on large‑scale GPU clusters.

DeepSeekDualPathKV cache
0 likes · 13 min read
How DualPath Revives Idle Network Cards to Break Long‑Context I/O Bottlenecks in DeepSeek V4
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Feb 27, 2026 · Artificial Intelligence

Can DeepSeek’s DualPath Break GPU Bottlenecks and Ignite an Agentic AI Surge?

DeepSeek’s new DualPath inference framework, co‑developed with leading Chinese universities, decouples compute from KV‑Cache memory access to eliminate I/O stalls in multi‑round agentic workloads, delivering up to nearly 2× higher throughput and dramatically reducing job‑completion time across several large‑scale LLMs.

AI infrastructureAgentic InferenceDeepSeek
0 likes · 13 min read
Can DeepSeek’s DualPath Break GPU Bottlenecks and Ignite an Agentic AI Surge?
PaperAgent
PaperAgent
Feb 27, 2026 · Artificial Intelligence

How DualPath Eliminates Storage Bandwidth Bottlenecks in Agentic LLM Inference

This article analyzes the DualPath architecture that redesigns KV‑Cache data paths to overcome storage‑NIC saturation in Prefill‑Decode LLM systems, presenting theoretical proofs, detailed engineering solutions, and extensive offline and online benchmarks that demonstrate up to 2.25× performance gains.

DualPathLLM inferencePerformance optimization
0 likes · 9 min read
How DualPath Eliminates Storage Bandwidth Bottlenecks in Agentic LLM Inference