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DeepSeek v3 leads open-weight models, Baseten enables mission-critical inference

DeepSeek v3, a new 671B parameter Mixture-of-Experts model, has been released and is currently the top-performing open-weights model available. Serving such large models presents significant challenges, but inference startup Baseten has successfully deployed DeepSeek v3 using NVIDIA H200 GPUs and the SGLang framework. This deployment highlights the critical factors for running mission-critical AI inference at scale, which include model-level performance, efficient serving infrastructure, and robust orchestration. AI

RANK_REASON New open-weights model release from a significant lab (DeepSeek) that achieves top benchmark performance.

Read on Latent Space Podcast →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

DeepSeek v3 leads open-weight models, Baseten enables mission-critical inference

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Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Frontier Release
New open-weights model release from a significant lab (DeepSeek) that achieves top benchmark performance.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, infra
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High
Clearly on-topic for AI-industry coverage.
Story freshness
615 days old
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COVERAGE [1]

  1. Latent Space Podcast TIER_1 English(EN) · Latent.Space ·

    Everything you need to run Mission Critical Inference (ft. DeepSeek v3 + SGLang)

    <p><a href="https://apply.ai.engineer/" target="_blank"><strong><em>Sponsorships and applications</em></strong></a><strong><em> for the </em></strong><a href="https://www.latent.space/p/2025-summit" target="_blank"><strong><em>AI Engineer Summit in NYC</em></strong></a><strong><e…