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English(EN) Llama 3.1 Nemotron Instruct 70B hits 114.6 tokens/sec — that’s fast enough to make its 5.8 intelligence points per dollar a real budget contender. See the full

Llama 3.1 Nemotron Instruct 70B 达到 114.6 tokens/秒，提供强劲的预算性能

作者 PulseAugur 编辑部 · [1 个来源] ·

Llama 3.1 Nemotron Instruct 70B 模型展示了令人印象深刻的性能，达到了每秒 114.6 个 token 的速度。这一速度使其成为注重预算的用户的竞争性选择，每美元提供 5.8 个智能点。 AI

影响 这一性能指标表明，在部署大型语言模型时，用户的效率有所提高，并可能节省成本。

排序理由 该项目报告了 AI 模型的特定基准性能指标。[lever_c_demoted from research: ic=1 ai=1.0]

在 Mastodon — mastodon.social 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Llama 3.1 Nemotron Instruct 70B 达到 114.6 tokens/秒，提供强劲的预算性能

本文如何被排名

Signal score
15 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
该项目报告了 AI 模型的特定基准性能指标。[lever_c_demoted from research: ic=1 ai=1.0]
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
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · opensourceaitech ·

    Llama 3.1 Nemotron Instruct 70B 每秒可达 114.6 个 token — 速度足以使其每美元 5.8 的智能点数成为真正的预算竞争者。查看完整

    Llama 3.1 Nemotron Instruct 70B hits 114.6 tokens/sec — that’s fast enough to make its 5.8 intelligence points per dollar a real budget contender. See the full bench. https:// olud.ai/leaderboard.html # LLM # Benchmarks # OpenSource # AI

    链接 olud.ai/leaderboard.html

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