Built for the Edge
FPGAs for smarter, faster, more deterministic performance
FPGAs are seeing accelerated adoption across industries due to rising demand for real-time, low-latency processing at the edge—driven by trends in AI, machine vision and autonomous systems. Their deterministic performance, reconfigurability and power efficiency make them ideal for applications where traditional CPUs and GPUs fall short.
The global edge AI market is projected to reach $66.5B (USD) by 2030 at a 21.7% CAGR from 2025 to 2030. Source: mou.sr/altera-fpgas
Why select Altera's Agilex™ 5 FPGAs?
- Low Latency & Determinism
Execute AI and signal processing workloads with consistent, real-time behavior - Power-Optimized Performance
Agilex™ 5 balances high throughput with low power consumption. - Hardware Adaptability
Quickly reconfigure logic to support evolving algorithms and protocols - Flexible I/O & Integration
Support for multiple high speed interfaces and ability to integrate heterogeneous sensors. - AI-Ready Architecture
Built to accelerate common AI workloads directly in hardware
One scalable platform - Agilex 5 FPGAs
Optimized for power efficiency and compact size
Key areas of application at work
Industrial Robotics & Motor Control
- Challenge: MCUs struggle beyond 2-motor control; “3-axis” systems hit performance limits
- Solution: FPGAs drive multiple motors simultaneously—scalable, reliable, cost-efficient
- Challenge: SiC motors need >100 kHz PWM to reach 100 000 RPM+
- Solution: Agilex 5 support ultra-fast >100 kHz PWM for precise, high-RPM SiC control
- Challenge: Complex multi-axis kinematics exceed MCU real-time capacity
- Solution: Run advanced motion algorithms with integrated processors for robotics and automation
Machine Vision
- Challenge: Hardened ISP pipelines in ASSPs limit tuning
- Solution: Flexible ISP pipeline design using Agilex Hyperflex fabric & Altera IPs
- Challenge: SW control forces trade-off between performance and latency
- Solution: Parallel processing adds double benefit of high-performance and low latency
- Challenge: Limited camera ingest capacity
- Solution: Upto 56* MIPI interfaces supported in Agilex 5. *4 lane MIPI D-PHY interface
Medical Video & Imaging
- Challenge: No one ASSP supports multiple connectivity standards
- Solution: Agilex 5 GTS XCVRs, (HSIO and fast fabric) multi-standard
- Challenge: Complex algorithms needing high throughput
- Solution: Tensor-infused DSP blocks and 600MHz fabric solves this
- Challenge: Compromise between SW or HW
- Solution: Best of both worlds in Agilex 5 FPGAs with HPS