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英伟达与戴尔联合交付 GB300 预量产机型进行测评

📅 2026-03-17 05:42 Matthew Berman 人工智能 3 分鐘 3074 字 評分: 84
NVIDIA Dell GB300 AI 硬件 开源 AI
📌 一句话摘要 Matthew Berman 收到了一台配备英伟达 GB300 的戴尔 Pro Max 预量产单元,该机型拥有超过 750GB 的统一内存,专门用于开源 AI 模型的测试。 📝 详细摘要 这条推文重点展示了一款高端 AI 工作站的到来:一台搭载了英伟达 GB300 的戴尔 Pro Max 预量产机型。该硬件被描述为重达 100 磅的“性能怪兽”,拥有惊人的计算资源,特别是超过 750GB 的统一内存(Unified Memory)。作为知名的 AI 领域影响力人物,推主计划利用这台设备对全球最顶尖的开源 AI 模型进行基准测试和运行,预示着社区即将获得相关的性能数据。 📊
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NVIDIA and Dell Deliver GB300 Pre-production Unit for Testing =============================================================

NVIDIA and Dell Deliver GB300 Pre-production Unit for Testing ============================================================= ![Image 2: Matthew Berman](https://www.bestblogs.dev/en/tweets?sourceId=SOURCE_a2344e93) ### Matthew Berman

@MatthewBerman

.@nvidia hand delivered a pre-production unit of the @Dell Pro Max with GB300 to my house.

100lbs beast with 750GB+ of unified memory to power the best open-source models in the world.

What should I test first?

!Image 3: 视频缩略图

01:01

Mar 16, 2026, 9:42 PM View on X

264 Replies

90 Retweets

1,597 Likes

192.6K Views ![Image 4: Matthew Berman](https://www.bestblogs.dev/en/tweets?sourceid=a2344e93) Matthew Berman @MatthewBerman

One Sentence Summary

Matthew Berman receives a pre-production Dell Pro Max unit equipped with NVIDIA GB300, featuring over 750GB of unified memory for open-source AI model testing.

Summary

This tweet highlights the arrival of a high-end AI workstation, a pre-production Dell Pro Max unit powered by NVIDIA's GB300. The hardware is described as a '100lbs beast' with significant computational resources, specifically over 750GB of unified memory. The recipient, a known AI influencer, intends to use this hardware to benchmark and run the world's most demanding open-source AI models, signaling upcoming performance data for the community.

AI Score

84

Influence Score 439

Published At Yesterday

Language

English

Tags

NVIDIA

Dell

GB300

AI Hardware

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NVIDIA and Dell Deliver GB300 Pre-production Unit for Tes... ===============

查看原文 → 發佈: 2026-03-17 05:42:09 收錄: 2026-03-17 10:01:00

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