Merge pull request #2657 from mattmcinnes/sizes-rtxpro-fixes

[Sizes] NC_RTXPRO6000BSE_v6 Fixes

Author: v-shils

articles/virtual-machines/sizes/gpu-accelerated/includes/nc-rtxpro6000-bse-v6-series-specs.md

@@ -0,0 +1,20 @@
+---
+title: NC_RTXPRO6000BSE_v6 series specs include
+description: Include file containing specifications of NC_RTXPRO6000BSE_v6-series VM sizes.
+author: mattmcinnes
+ms.topic: include
+ms.service: azure-virtual-machines
+ms.subservice: sizes
+ms.date: 11/21/2025
+ms.author: mattmcinnes
+ms.reviewer: mattmcinnes
+ms.custom: include file
+---
+| Part | Quantity <br><sup>Count Units | Specs <br><sup>SKU ID, Performance Units, etc.  |
+|---|---|---|
+| Processor      | 32 - 320 vCPUs       | Intel Xeon Granite Rapids-AP [x86-64]                   |
+| Memory         | 128 - 1280 GiB          |  High-speed DDR5  |
+| Local Storage  | 1 Disk         | 256 - 2048 GiB               |
+| Remote Storage | 16 Disks    |                   |
+| Network        | 6 - 8 NICs          | 25000 - 200000 Mbps              |
+| Accelerators   | 0.25 - 2              | Nvidia RTX PRO 6000 Blackwell Server Edition GPU (96GB)|

articles/virtual-machines/sizes/gpu-accelerated/includes/nc-rtxpro6000-bse-v6-series-summary.md

@@ -0,0 +1,22 @@
+---
+title: NC_RTXPRO6000BSE_v6-series summary include file
+description: Include file for NC_RTXPRO6000BSE_v6-series summary
+author: mattmcinnes
+ms.topic: include
+ms.service: azure-virtual-machines
+ms.subservice: sizes
+ms.date: 11/21/2025
+ms.author: mattmcinnes
+ms.reviewer: mattmcinnes
+ms.custom: include file
+---
+These NC RTX PRO 6000 BSE v6 VMs are powered by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, each featuring 96 GB of ultra-fast GDDR7 memory and the latest Blackwell architecture to enable breakthrough performance in multimodal AI, physical AI, and high-fidelity graphics. The VM host is equipped with Intel Granite Rapids CPUs, providing all-core turbo frequency of up to 4.2 GHz to handle demanding pre- and post-processing steps efficiently. These VMs are ideal for converged AI and visual computing workloads, such as:
+
+- Real-time digital twin and NVIDIA Omniverse simulation.
+- LLM Inference and RAG (Retrieval-Augmented Generation) for models under 70B parameters.
+- High-fidelity 3D rendering, product design, and video streaming.
+- GPU-accelerated desktop virtualization (VDI) with NVIDIA RTX Virtual Workstation.
+- Scientific visualization and High-Performance Computing (HPC) using FP32.
+- Agentic AI application development and deployment.
+
+Sign up to Participate in [NCv6 Public Preview](https://forms.office.com/Pages/ResponsePage.aspx?id=v4j5cvGGr0GRqy180BHbR9s7orOb3OJJnwABCNj_8JdUMzlLSzJFTTdRRE8yU0UxWFFYQlpYV1hDVy4u) !