Fixed for Acrolinx scores for clarity and correctness

Author: Padmalathas

articles/virtual-machines/nda100-v4-series.md

@@ -13,13 +13,13 @@ ms.date: 03/13/2023
 
 **Applies to:** :heavy_check_mark: Linux VMs :heavy_check_mark: Flexible scale sets :heavy_check_mark: Uniform scale sets
 
-The ND A100 v4 series virtual machine is a new flagship addition to the Azure GPU family, designed for high-end Deep Learning training and tightly-coupled scale-up and scale-out HPC workloads. 
+The ND A100 v4 series virtual machine(VM) is a new flagship addition to the Azure GPU family, designed for high-end Deep Learning training and tightly coupled scale-up and scale-out HPC workloads. 
 
-The ND A100 v4 series starts with a single virtual machine (VM) and eight NVIDIA Ampere A100 40GB Tensor Core GPUs. ND A100 v4-based deployments can scale up to thousands of GPUs with an 1.6 TB/s of interconnect bandwidth per VM. Each GPU within the VM is provided with its own dedicated, topology-agnostic 200 GB/s NVIDIA Mellanox HDR InfiniBand connection. These connections are automatically configured between VMs occupying the same virtual machine scale set, and support GPUDirect RDMA.
+The ND A100 v4 series starts with a single VM and eight NVIDIA Ampere A100 40GB Tensor Core GPUs. ND A100 v4-based deployments can scale up to thousands of GPUs with an 1.6 TB/s of interconnect bandwidth per VM. Each GPU within the VM is provided with its own dedicated, topology-agnostic 200 GB/s NVIDIA Mellanox HDR InfiniBand connection. These connections are automatically configured between VMs occupying the same VMScaleSet, and support GPUDirect RDMA.
 
-Each GPU features NVLINK 3.0 connectivity for communication within the VM, and the instance is also backed by 96 physical 2nd-generation AMD Epyc™ 7V12 (Rome) CPU cores.
+Each GPU features NVLINK 3.0 connectivity for communication within the VM, and the instance is backed by 96 physical 2nd-generation AMD Epyc™ 7V12 (Rome) CPU cores.
 
-These instances provide excellent performance for many AI, ML, and analytics tools that support GPU acceleration 'out-of-the-box,' such as TensorFlow, Pytorch, Caffe, RAPIDS, and other frameworks. Additionally, the scale-out InfiniBand interconnect is supported by a large set of existing AI and HPC tools built on NVIDIA's NCCL2 communication libraries for seamless clustering of GPUs.
+These instances provide excellent performance for many AI, ML, and analytics tools that support GPU acceleration 'out-of-the-box,' such as TensorFlow, Pytorch, Caffe, RAPIDS, and other frameworks. Additionally, the scale-out InfiniBand interconnect is supported by a large set of existing AI and HPC tools which are built on NVIDIA's NCCL2 communication libraries for seamless clustering of GPUs.
 
 > [!IMPORTANT]
 > To get started with ND A100 v4 VMs, refer to [HPC Workload Configuration and Optimization](configure.md) for steps including driver and network configuration.
@@ -36,8 +36,8 @@ These instances provide excellent performance for many AI, ML, and analytics too
 [VM Generation Support](generation-2.md): Generation 2<br>
 [Accelerated Networking](../virtual-network/create-vm-accelerated-networking-cli.md): Supported<br>
 [Ephemeral OS Disks](ephemeral-os-disks.md): Supported<br>
-InfiniBand: Supported, GPUDirect RDMA, 8 x 200 Gigabit HDR<br>
-Nvidia NVLink Interconnect: Supported<br>
+[InfiniBand](../extensions/enable-infiniband.md): Supported, GPUDirect RDMA, 8 x 200 Gigabit HDR<br>
+NVIDIA NVLink Interconnect: Supported<br>
 [Nested Virtualization](/virtualization/hyper-v-on-windows/user-guide/nested-virtualization): Not Supported <br>
 <br>
 The ND A100 v4 series supports the following kernel versions: <br>
@@ -61,7 +61,7 @@ Ubuntu 20.04: 5.4.0-1046-azure <br>
 - [High performance compute](sizes-hpc.md)
 - [Previous generations](sizes-previous-gen.md)
 
-Pricing Calculator : [Pricing Calculator](https://azure.microsoft.com/pricing/calculator/)
+Pricing Calculator: [Pricing Calculator](https://azure.microsoft.com/pricing/calculator/)
 
 For more information on disk types, see [What disk types are available in Azure?](disks-types.md)