Accelerate AI enablement of your custom solution
Altera is delivering the new era of FPGAi with high-performance and AI-infused FPGA fabric. Our tightly integrated programmable logic and AI enable real-time data adaptation and autonomous decision-making, equipping systems to achieve next-gen complexities. Altera offers custom solutions to implement AI models efficiently—from power-efficient TinyML to medium and large models that can be deployed efficiently at edge and GenAI and other LLM Transformer models in data centers.
Why FPGAs
Flexibility and Re-programmability
FPGAs are inherently reconfigurable, allowing developers to adapt the hardware to evolving AI models and workloads without redesigning or replacing the chip. This flexibility is especially useful in rapidly changing AI landscapes, enabling updates to models, logic, and interfaces — all via software.
Low Latency and High Throughput
FPGAs provide deterministic and ultra-low latency, making them ideal for real-time AI applications such as Video processing, Voice recognition and Industrial automation
Energy Efficiency and Long Lifecycle
FPGAs can be tuned to optimize power consumption, allowing designers to only use as much of the chip as necessary. This makes them suitable for edge AI devices where energy and thermal budgets are tight. Additionally, their long deployment lifetimes make them ideal for sectors like medical, automotive, and defense where hardware longevity is critical.
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Use Cases
FPGAi Use Cases
FPGAs are great for data pre-processing and post-processing in AI training and AI inference at edge or in data centers. They can be deployed ubiquitously in all applications in any location let alone space constrained edge location.
Customer Testimonials
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Agilex 7 M-series enables Positron to utilize a memory-optimized architecture, achieving over 93% bandwidth utilization—far surpassing the typical 10-30% seen in GPU-based systems. This advancement allows us to deliver 3.5x better performance per dollar and 3.5x greater power efficiency compared to leading GPUs when running LLM inference workloads such as the Llama3 family and MOE-based reasoning models
Positron
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Altera Agilex 7 FPGAs are selected to be used in our Vollo platform because they enables a wide variety of custom models, from financial trading to wireless telecoms to cybersecurity achieving lower latencies than any other vendor platforms.”
Myrtle
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FPGA AI Suite enables ease of use and push-button AI inference IP generation for Altera FPGA devices.
The data scientist team converted the trained AI model to FPGA AI inference IP using the OpenVINO™ open-source toolkit and FPGA AI Suite. OpenVINO is the frontend of FPGA AI Suite and helps convert AI models developed in any standard framework, such as PyTorch, TensorFlow, etc., into an intermediate representation that FPGA AI Suite uses to convert it to AI inference IP
VITEC