Merge pull request #125634 from changeworld/patch-150

Fix typo

Author: v-dirichards

articles/databox-online/azure-stack-edge-migrate-fpga-gpu.md

@@ -34,7 +34,7 @@ This section provides a comparative summary of capabilities between the Azure St
 
 |    Capability  | Azure Stack Edge Pro 2 (Target device)  | Azure Stack Edge Pro FPGA (Source device)|
 |----------------|-----------------------|------------------------|
-| Hardware       | Hardware acceleration: 1 or 2 Nvidia A2 GPUs. <br> 64 GB, 128 GB, or 256 GB of memory. <br> 2x 10 GB BASE-T iWarp RDMA-capable network ports. <br> 2x optical 100 GB/sec RoCE RDMA-capable network ports. <br> Power supply units - 1. <br> For more information, see [Azure Stack Edge Pro 2 technical specifications](azure-stack-edge-pro-2-technical-specifications-compliance.md).   | Hardware acceleration: Intel Arria 10 FPGA. <br> 128 GB of memory. <br> 2x copper 1 GB/sec network ports. <br> 4x optical 25 GB/sec RDMA-capable network ports. <br> Power supply units - 2. <br> For more information, see [Azure Stack Edge Pro FPGA technical specifications](azure-stack-edge-technical-specifications-compliance.md).  |
+| Hardware       | Hardware acceleration: 1 or 2 NVIDIA A2 GPUs. <br> 64 GB, 128 GB, or 256 GB of memory. <br> 2x 10 GB BASE-T iWarp RDMA-capable network ports. <br> 2x optical 100 GB/sec RoCE RDMA-capable network ports. <br> Power supply units - 1. <br> For more information, see [Azure Stack Edge Pro 2 technical specifications](azure-stack-edge-pro-2-technical-specifications-compliance.md).   | Hardware acceleration: Intel Arria 10 FPGA. <br> 128 GB of memory. <br> 2x copper 1 GB/sec network ports. <br> 4x optical 25 GB/sec RDMA-capable network ports. <br> Power supply units - 2. <br> For more information, see [Azure Stack Edge Pro FPGA technical specifications](azure-stack-edge-technical-specifications-compliance.md).  |
 | Usable storage | 720 GB - 2.5 TB <br> After reserving space for resiliency and internal use. | 12.5 TB <br> After reserving space for internal use. |
 | Security       | Certificates |                                                     |
 | Workloads      | IoT Edge workloads <br> VM workloads <br> Kubernetes workloads| IoT Edge workloads |
@@ -45,7 +45,7 @@ This section provides a comparative summary of capabilities between the Azure St
 
 |    Capability  | Azure Stack Edge Pro GPU (Target device)  | Azure Stack Edge Pro FPGA (Source device)|
 |----------------|-----------------------|------------------------|
-| Hardware       | Hardware acceleration: 1 or 2 Nvidia T4 GPUs. <br> Compute, memory, network interface, power supply unit, and power cord specifications are identical to the device with FPGA. <br> For more information, see [Azure Stack Edge Pro GPU technical specifications](azure-stack-edge-gpu-technical-specifications-compliance.md).   | Hardware acceleration: Intel Arria 10 FPGA. <br> Compute, memory, network interface, power supply unit, and power cord specifications are identical to the device with GPU. <br> For more information, see [Azure Stack Edge Pro FPGA technical specifications](azure-stack-edge-technical-specifications-compliance.md).  |
+| Hardware       | Hardware acceleration: 1 or 2 NVIDIA T4 GPUs. <br> Compute, memory, network interface, power supply unit, and power cord specifications are identical to the device with FPGA. <br> For more information, see [Azure Stack Edge Pro GPU technical specifications](azure-stack-edge-gpu-technical-specifications-compliance.md).   | Hardware acceleration: Intel Arria 10 FPGA. <br> Compute, memory, network interface, power supply unit, and power cord specifications are identical to the device with GPU. <br> For more information, see [Azure Stack Edge Pro FPGA technical specifications](azure-stack-edge-technical-specifications-compliance.md).  |
 | Usable storage | 4.19 TB <br> After reserving space for parity resiliency and internal use. | 12.5 TB <br> After reserving space for internal use. |
 | Security       | Certificates |                                                     |
 | Workloads      | IoT Edge workloads <br> VM workloads <br> Kubernetes workloads| IoT Edge workloads |