There was a time when Altera looked like it might become a footnote in Intel’s long list of restructuring casualties. Instead, the company just posted roughly 20% annual revenue growth and more than doubled its operating income.
The resurgence is being driven by surging demand for Altera’s field-programmable gate arrays, or FPGAs, which are finding their way into AI systems, robotics platforms, and edge computing applications. CEO Raghib Hussain pointed to connectivity, data pre-processing, and sensor fusion as key use cases fueling the company’s growth trajectory.
What FPGAs actually do, and why AI needs them
Unlike a standard chip that’s hardwired to do one thing, an FPGA can be reprogrammed after manufacturing to handle different tasks. That flexibility makes FPGAs particularly valuable in AI and robotics, where workloads are diverse and evolving fast. A robot on a factory floor might need to process camera feeds, lidar data, and motor controls simultaneously, all with minimal latency. GPUs handle the heavy-lifting AI inference, but FPGAs often sit alongside them, managing the real-time data plumbing that keeps everything synchronized.
Hussain, who joined Altera in 2025 after a stint at Marvell, has been vocal about this complementary role. The company isn’t trying to compete with Nvidia’s GPU empire. It’s positioning itself as the connective tissue between sensors, processors, and the physical world.
