MIPS Expands Global Footprint with New Design Center and Talent for Systems Architects and AI Compute
MIPS, a leading developer of efficient and configurable compute cores, today announced the company's global expansion with the launch of a new R&D center in Austin, TX, making this the second office expansion in Texas after Dallas. MIPS plans to tap into the growing AI engineering talent in Texas and continue to build deeper roots in the community by partnering with local universities and schools. In addition to creating new job opportunities within the local community, each location will support MIPS' RISC-V research and development efforts, while furthering the company's strategic focus on giving customers the freedom to innovate compute in the AI-centric automotive, data center and embedded markets.
"MIPS' global expansion marks a strategic step forward in the company's growth, especially given our focus on AI and the wide and diverse talent available in the cities where we operate," said Sameer Wasson, CEO of MIPS. "The acceleration of AI-based processing and rapid adoption of RISC-V is on an upward trajectory as engineers continue to seek solutions that deliver the ability to innovate and design without constraints. We are rapidly growing our team and accelerating product roadmaps to enable AI-based systems with better scalability, low power efficiency, real-time multi-threading processing and enhanced configurability, while reducing customers' time to market."
"MIPS' global expansion marks a strategic step forward in the company's growth, especially given our focus on AI and the wide and diverse talent available in the cities where we operate," said Sameer Wasson, CEO of MIPS. "The acceleration of AI-based processing and rapid adoption of RISC-V is on an upward trajectory as engineers continue to seek solutions that deliver the ability to innovate and design without constraints. We are rapidly growing our team and accelerating product roadmaps to enable AI-based systems with better scalability, low power efficiency, real-time multi-threading processing and enhanced configurability, while reducing customers' time to market."