# @storagereview on Instagram

- **Type:** Image
- **Original URL:** https://www.instagram.com/p/DV_2O1AFcCr
- **Gondola URL:** https://gondola.cc/posts/60229191-storagereview-instagram
- **Thumbnail:** https://img.gondola.cc/tr:w-,h-,fo-auto/postThumbnails/5e2828613c.jpg
- **Posted:** 2026-03-17T19:40:01.000+00:00
- **Account Owner:** StorageReview (@storagereview) — https://gondola.cc/storagereview

## Caption

Inside the NVIDIA Groq 3 LPX compute tray. Each 1U unit packs 8 LPUs with 500MB of SRAM each, 4GB total per unit. The full rack delivers 315 PFLOPS of AI inference compute across 256 chips. The bandwidth story is what stands out: each LPU delivers 150 TB/s of memory bandwidth thanks to SRAM, compared to ~22 TB/s on Rubin’s HBM4. The LPX units interconnect via 4 spines within the rack and use C2C links to connect to adjacent racks. Vera Rubin talks to LPX over Spectrum-X Ethernet. Goal is to offload FFN layers from Rubin GPUs to LPUs to dramatically boost token throughput. Available 2H 2026.

#NVIDIA #GTC2026 #Groq

## Stats

- **Views:** 0
- **Likes:** 555
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- **Comments:** 4

## Tags

gtc2026, nvidia, groq

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