Palantir develops and provides software that enables customers from government agencies to commercial enterprises to integrate data for decision-making and operations at scale. The company initially provided its software to the U.S. intelligence services before broadening its customer base. 55% of company revenue is generated by its government segment and 45% from its commercial segment; 34% of revenue is generated outside the U.S. Palantir's class A shares trade publicly under the symbol PLTR. Palantir's super-voting class B and class F shares, held by insiders and founders, do not trade publicly. The company is effectively controlled by founders Alexander Karp, Stephen Cohen, and Peter Thiel through the super-voting class F shares that represent a 49.99% voting interest. Palantir was founded in 2003 and went public at $10 per share on September 30, 2020.

Stocks are up at midday on Thursday. President Trump announced that the U.S. and the UK have made an agreement on trade. Trade representatives from the U.S. and China are also slated to meet this weekend to work out trade terms. No surprise from the Fed yesterday. It left interest rates unchanged as expected. Chairman Powell says the Fed has a lack of clarity for the economy ahead. The yield on the 10-year Treasury note is 4.32%. Oil is at $59 per barrel.

Advanced Micro Devices designs a variety of digital semiconductors for markets such as PCs, gaming consoles, data centers, industrial, and automotive applications. AMD’s traditional strength was in central processing units and graphics processing units used in PCs and data centers. Additionally, the firm supplies the chips found in prominent game consoles such as the Sony PlayStation and Microsoft Xbox. In 2022, the firm acquired field-programmable gate array leader Xilinx to diversify its business and augment its opportunities in key end markets such as data center and automotive.

Nvidia is a leading developer of graphics processing units. Traditionally, GPUs were used to enhance the experience on computing platforms, most notably in gaming applications on PCs. GPU use cases have since emerged as important semiconductors used in artificial intelligence. Nvidia not only offers AI GPUs, but also a software platform, Cuda, used for AI model development and training. Nvidia is also expanding its data center networking solutions, helping to tie GPUs together to handle complex workloads.