[KongchangAI]
ModelVela

Vela 3.0

Vela 3.0 is a series of semantic routing models released through a collaboration between vLLM Semantic Router, KR Labs and AMD. Its core innovation combines routing decisions and span extraction into a single forward computation. The series provides open-weight models at six parameter scales ranging from 0.3B to 27B, intended for low-latency semantic dispatching at the request entry point.

Timeline (last 90 days)

Oct 29

Vela 3.0 was released by the vLLM Semantic Router, KR Labs, and the AMD team in collaboration.

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Oct 29

Vela 3.0 merges routing decisions and segment extraction into a single call.

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Oct 29

Vela 3.0 offers six open models with parameter counts ranging from 0.3B to 27B.

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Oct 29

Completing routing and segment extraction in a single call can reduce the risk of inconsistent information transfer between two calls.

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Oct 29

Models at the 0.3B level are suitable for resource-constrained edge environments or high-concurrency scenarios.

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Oct 29

The official statement emphasizes more flexibility in what the router can detect (more flexibility in what the router can detect) and how small it can run (how small it can run).

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Oct 29

If Vela 3.0 has been optimized for AMD platforms, that means this routing component can achieve usable inference performance in non-NVIDIA GPU environments.

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Oct 29

Vela 3.0's official disclosures focus on two capability points, the merged call and the model lineage, and specific performance data and benchmark comparisons have not yet been elaborated.

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