From 7604648bb96ff744cdce67b4c102f2e50a76db95 Mon Sep 17 00:00:00 2001 From: Kjell Tore Guttormsen Date: Wed, 24 Jun 2026 11:38:24 +0200 Subject: [PATCH] =?UTF-8?q?docs(ms-ai-architect):=20KB-refresh=20MEDIUM=20?= =?UTF-8?q?17/33=20=E2=80=94=20gpu-compute-sizing:=20ND96asr=5Fv4=208xA100?= =?UTF-8?q?=2040GB=20=3D=20320=20GB=20(var=20640=20GB)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../references/performance-scalability/gpu-compute-sizing.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/skills/ms-ai-security/references/performance-scalability/gpu-compute-sizing.md b/skills/ms-ai-security/references/performance-scalability/gpu-compute-sizing.md index 683e9c7..f960ec3 100644 --- a/skills/ms-ai-security/references/performance-scalability/gpu-compute-sizing.md +++ b/skills/ms-ai-security/references/performance-scalability/gpu-compute-sizing.md @@ -1,6 +1,6 @@ # GPU and Compute Sizing for AI -**Last updated:** 2026-04 | Verified: MCP 2026-04 +**Last updated:** 2026-06-24 | Verified: MCP 2026-06 **Status:** GA **Category:** Performance & Scalability @@ -34,7 +34,7 @@ For norsk offentlig sektor er GPU-dimensjonering relevant ved deployment av open | NC4as_T4_v3 | 1x NVIDIA T4 | 16 GB | Liten modell-inferens | Lavest | | NC24ads_A100_v4 | 1x NVIDIA A100 | 80 GB | Medium modell-inferens/trening | Middels | | NC96ads_A100_v4 | 4x NVIDIA A100 | 320 GB | Stor modell-trening | Høy | -| ND96asr_v4 | 8x NVIDIA A100 | 640 GB | LLM-trening, multi-GPU | Svært høy | +| ND96asr_v4 | 8x NVIDIA A100 (40 GB) | 320 GB | LLM-trening, multi-GPU | Svært høy | | ND96isr_H100_v5 | 8x NVIDIA H100 | 640 GB | Frontier-modell trening | Høyest | | NC40ads_H100_v5 | 1x NVIDIA H100 | 80 GB | Stor modell-inferens | Høy |