diff --git a/docs.it4i/dgx2/introduction.md b/docs.it4i/dgx2/introduction.md
index 13c40b605de9696ac94b8f286ead575113c84625..482b98eff794ba4ef3ab36fb23a5ca6ccfdca472 100644
--- a/docs.it4i/dgx2/introduction.md
+++ b/docs.it4i/dgx2/introduction.md
@@ -2,7 +2,7 @@
The [DGX-2][a] introduces NVIDIA’s new NVSwitch, enabling 300 GB/s chip-to-chip communication at 12 times the speed of PCIe.
-With NVLink2, it enables sixteen Nvidia V100-SXM3 GPUs in a single system, for a total bandwidth going beyond 14 TB/s.
+With NVLink2, it enables sixteen Nvidia V100-SXM3 GPUs in a single system, for a total bandwidth going beyond 14 TB/s.
Featuring pair of Xeon 8168 CPUs, 1.5 TB of memory, and 30 TB of NVMe storage,
we get a system that consumes 10 kW, weighs 163.29 kg, but offers perfomance in excess of 130TF.
@@ -30,17 +30,17 @@ NVIDIA likes to tout that this means it offers a total of ~2 PFLOPs of compute p
AlexNET, the network that 'started' the latest machine learning revolution, now takes 18 minutes
-The topology of the DGX-2 means that all 16 GPUs are able to pool their memory into a unified memory space,
+The topology of the DGX-2 means that all 16 GPUs are able to pool their memory into a unified memory space,
though with the usual tradeoffs involved if going off-chip.
-The DGX-2 is able to complete the training process
+The DGX-2 is able to complete the training process
for FAIRSEQ – a neural network model for language translation – 10x faster than a DGX-1 system,
bringing it down to less than two days total rather than 15.
-The DGX-2 is designed to be a powerful server in its own right.
-On the storage side the DGX-2 comes with 30TB of NVMe-based solid state storage.
+The DGX-2 is designed to be a powerful server in its own right.
+On the storage side the DGX-2 comes with 30TB of NVMe-based solid state storage.
For clustering or further inter-system communications, it also offers InfiniBand and 100GigE connectivity, up to eight of them.
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