English(EN) Our hardware has evolved, but the low-level firmware that governs it has not. It is still using logic from the early 2000s to manage the workloads of 2026. http

GPU固件落后于硬件，限制AI工作负载

作者 PulseAugur 编辑部 · [1 个来源] · 2026-04-29 06:39

文章认为，当前的GPU固件已经过时，依赖于2000年代初期的逻辑来管理现代AI工作负载。这种过时的固件被认为是瓶颈，可能会限制高级AI应用程序的性能。作者认为，硬件能力与固件设计之间的这种不匹配是当前和未来AI发展的一个重大问题。 AI

影响过时的GPU固件可能限制了AI性能，表明需要更新固件以释放硬件潜力。

排序理由该条目是一篇评论文章，讨论了当前GPU固件对AI工作负载的限制。

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报道来源 [1]

Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] · 2026-04-29 06:39

Our hardware has evolved, but the low-level firmware that governs it has not. It is still using logic from the early 2000s to manage the workloads of 2026. http

Our hardware has evolved, but the low-level firmware that governs it has not. It is still using logic from the early 2000s to manage the workloads of 2026. https:// hackernoon.com/your-gpu-isnt-b roken-its-firmware-is-throttling-your-ai-workloads # ai

链接 hackernoon.com/your-gpu-isnt-b

报道来源 [1]

Our hardware has evolved, but the low-level firmware that governs it has not. It is still using logic from the early 2000s to manage the workloads of 2026. http

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