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Nvidia to Acquire Arm for $40B (nvidianews.nvidia.com)

2122 points by czr · 2207 days ago · 752 comments on HN

Article summary

Nvidia has announced its plan to acquire Arm Limited from SoftBank Group Corp. in a transaction valued at $40 billion. The acquisition aims to create the premier computing company for the age of artificial intelligence, combining Nvidia's AI computing platform with Arm's vast ecosystem. Nvidia plans to expand Arm's R&D presence in Cambridge, UK, and continue Arm's open-licensing model. The transaction is expected to be immediately accretive to Nvidia's non-GAAP gross margin and non-GAAP earnings per share.

Main themes

  • Nvidia-Arm acquisition
  • RISC-V and alternative architectures
  • Itanium and VLIW architectures
  • Compiler vs CPU capabilities
  • Dynamic recompilation and reoptimization
  • Branch prediction and indirect calls
  • AI and computing research
  • Tech industry trends and competition

What commenters say

  • The acquisition of Arm by Nvidia may lead to a shift in the balance of power in the tech industry, with potential implications for competitors and customers.
  • Some commentators believe that RISC-V may benefit from the acquisition, as it could lead to increased investment in alternative architectures.
  • The discussion around the Itanium architecture highlights the challenges and trade-offs involved in designing and implementing new processor architectures.
  • Others argue that the compiler has more information and capabilities than the CPU, and can make better decisions about instruction scheduling and optimization.
  • The use of dynamic recompilation and reoptimization techniques could potentially improve the performance of in-order processors, making them more competitive with out-of-order designs.
  • Some commentators are skeptical about the potential benefits of VLIW architectures, citing the difficulties of maintaining code compatibility across different architectures.
  • The role of branch predictors and indirect calls is seen as a key challenge for compilers, with some arguing that they are better handled by hardware mechanisms.
  • The acquisition may have significant implications for the future of computing, including the potential for increased investment in AI research and development.