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Introduction The rise of AI has unleashed an insatiable demand for faster, smarter, and more scalable data center networks. As GPUs and accelerators become the backbone of AI training and inference, traditional network designs struggle to keep up with the explosive growth in data and computational intensity. The network is no longer just for connectivity […]

  Scale out DL inference or training is no longer just a compute problem. Networking and storage optimization are becoming more critical. This is evident with a new addition to MLPerf standards with regards to storage. In this blog we briefly explore how RISC-V can help here. The increasing complexity and data demands of deep

The rise of opensource RISC-V CPU Instruction Set Architecture (ISA) has led many developers to consider migrating from existing popular computer architectures like x86, Arm, MIPS and more to RISC-V CPU ISA. This transition offers various advantages, including an open-source framework and extensive community support. In this blog, we’ll explore typical migration strategies and considerations

Do you need more compute elements? Do you need more memory? Do you need more cache? Last week we announced the MIPS P8700, the industry’s first AI-enabled RISC-V automotive CPU for ADAS and autonomous vehicles. The MIPS P8700 gives you the freedom to choose how to solve your problem.

The market is experiencing a major shift to the RISC-V ISA and MIPS is helping to fuel this transition with high performance RISC-V cores, including debug, trace and performance tools enabling the tools ecosystem. The commercial success of the MIPS architecture can, to some degree, be attributed to deploying advanced debug, trace and performance monitoring

Timing, opportunity and geographic location matter in life – when we decide to do important things and where we decide to live and work. It turns out these factors are also important in solving the biggest compute challenges our industry is facing at this time. I am personally very thankful for joining the MIPS leadership

In today’s interconnected world, the advancement of Edge AI has revolutionized the way we process and analyze data. Edge AI brings intelligence closer to the device, enabling real-time decision making and reducing the need for centralized processing. However, one of the often overlooked aspects of Edge AI is the importance of efficient data movement. Efficient

Today is an exciting day at MIPS as we launch a rebrand and strategic focus on giving our customers the Freedom to Innovate Compute. For years, when customers have needed more processing power and compute density, we’ve always gone back to the evolution of process nodes. Every few years, a new process node comes along