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A Data Path Purpose-Built for LLM Inference
Focus exclusively on the typical data flows in large model inference: data movement between GPU and CPU, between compute nodes, and high-throughput transport of KV cache blocks. We only solve this specific class of problems—high-bandwidth, predictable, structured data paths.
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RDMA-First, High-Performance Implementation
The initial version prioritizes RDMA, leveraging static topology, long-lived connections, and pre-allocated resources to push throughput, stability, and tail latency close to hardware limits—validating the value of a "dedicated transport layer".
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Developer-Friendly Abstractions
Provide clear, minimal transport semantics and channel models: easy to understand, simple to integrate, and predictable in behavior. Avoid hidden policies that cause mysterious performance jitter, allowing users to make confident performance assumptions.
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Built-In Observability and Tunability
Export key metrics and debugging information from day one (throughput, latency distribution, resource utilization, error signals, etc.), giving cluster operators data to guide topology and parameter tuning—rather than black-box trial-and-error.
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Embeddable in Existing Inference Systems
Serve as an optional "transport backend" that can plug into existing inference/dispatch/scheduling components—without requiring a full rewrite of the upper layers—ensuring the PoC can be validated quickly in real production stacks.
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Not a General-Purpose RPC or Service Framework
No request routing, load balancing, IDL, or serialization format wars—these concerns belong to upper layers or other projects.
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Not a Universal Network Virtualization Layer
No attempt to automatically adapt to all network environments, cloud providers, or dynamic topologies; the initial focus is deep optimization for known, controlled, performance-sensitive clusters.
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Not a Full-Featured Communication Middleware
Does not cover collectives, group communication semantics, or a comprehensive flow control ecosystem—only focused on high-value point-to-point (or few-node) bulk transfer scenarios.
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Not a "Runs Everywhere" Compatibility Solution
No compromising design sharpness for compatibility with low-spec or non-accelerated network environments; other protocols or software fallbacks are incremental extensions, not core promises.
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Not a Security or Compliance Component
No built-in complex authentication, encryption, or multi-tenant isolation; default assumption is deployment in controlled environments, with security handled by infrastructure.