MIPS Aims to Give Back Control, for AI-Centric Compute
By Nitin Dahad, EETimes (January 12, 2024)
MIPS this week used CES 2024 to announce its new strategic focus and at the same time rebrand, under a mission to “give back control” to designers looking to differentiate their compute architectures in a new AI-centric world, using the inherent benefits of the RISC-V architecture to enable that.
In an interview with EE Times, MIPS CEO Sameer Wasson said, in the context of the slowing down of Moore’s Law and the inflexibility of closed architectures that hold back innovation, “The next 5-10 years is about re-innovating architectures so that we are able to solve these problems in an AI-centric world. The solutions we have today are in a very compute or classic processing-centric world. They were built for web applications which don’t have AI. Now everyone is doing AI, where AI is the processing.”
Wasson spoke with EE Times just before heading out to Las Vegas for CES, where he intended to outline to customers and the market the company’s focus, which is around the “freedom to innovate compute.
To read the full article, click here
Related Semiconductor IP
- JESD204E Controller IP
- eUSB2V2.0 Controller + PHY IP
- I/O Library with LVDS in SkyWater 90nm
- 50G PON LDPC Encoder/Decoder
- UALink Controller
Related News
- MIPS Expands Global Footprint with New Design Center and Talent for Systems Architects and AI Compute
- GlobalFoundries to Acquire MIPS to Accelerate AI and Compute Capabilities
- MIPS Moves Multicore Battle to Clustering
- prpl Foundation Announces 'Quick EMUlator' (QEMU) Support for Imagination's New 64-bit MIPS Processors
Latest News
- Imagination Technologies appoints Markus Mosen as Chief Executive Officer
- Barcelona Zettascale Lab advances European technological sovereignty as Cinco Ranch TC1 chip passes validation
- CoreHW Appoints Redtree as Pan-EMEA Sales Representative
- Imec inaugurates NanoIC pilot line, accelerating innovation in sub-2nm systems-on-chip
- Honda and Mythic Announce Joint Development of 100x Energy-Efficient Analog AI Chip for Next-Generation Vehicles