FuriosaAI: LG AI Research EXAONE 3.5 on four RNGD cards
blog
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id
sources/furiosa-blog-lg-exaone-4x-rngd-2025-07Publisher
FuriosaAI
Kind
blog
Published
2025-07-22
Accessed
2026-10-16
notes
Vendor announcement that LG AI Research adopted RNGD. The tok/s sentence is also quoted by GamesBeat the same day: one server, four RNGD cards, batch size one, EXAONE 3.5 32B, 60 tok/s at a 4K context window and 50 tok/s at a 32K context window. Tensor parallel across cards. The comparison GPU is not named. The 2.25x performance-per-watt and 3.75x tokens-per-rack ratios are marketing and are not stored as benchmark values.
Notes
Vendor announcement that LG AI Research adopted RNGD. The tok/s sentence is also quoted by GamesBeat the same day: one server, four RNGD cards, batch size one, EXAONE 3.5 32B, 60 tok/s at a 4K context window and 50 tok/s at a 32K context window. Tensor parallel across cards. The comparison GPU is not named. The 2.25x performance-per-watt and 3.75x tokens-per-rack ratios are marketing and are not stored as benchmark values.
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