Why OSS Will Outperform NVDA and SMCI

U.S. Department of Defense (DOD) assets worldwide are much larger than Amazon, Apple, Microsoft, and Walmart combined.

AI is about to become a core element of defense systems across all mission environments including on land, in the air and on the sea. These applications require the highest possible performance deployable in the harshest conditions.

As DroneShield (ASX: DRO) discusses on their website they are unable to use Nvidia (NVDA) GPUs for their applications primarily because they need low latency processing of real-time RF spectrum data on the edge. Click here to see.

U.S. Deputy Defense Secretary said in a speech yesterday that, "the minimum viable capability for CJADC2 is real and ready now. It's low latency. And extremely reliable." Click here to see.

The DOD hired Leidos (LDOS) to create CJADC2 (click here to see) and LDOS used the technology of One Stop Systems (OSS). Click here to see.

The DOD can't use Super Micro Computers (SMCI) products in some cloud datacenter somewhere. They need rugged AI systems on the edge with low latency, and OSS is the global leader!

OSS is partners with NVDA and SMCI, but for military AI applications on the edge defense contractors must go to OSS!

Past performance is not an indicator of future returns. NIA is not an investment advisor and does not provide investment advice. Always do your own research and make your own investment decisions. This message is meant for informational and educational purposes only and does not provide investment advice.