Why FPGAs? FPGAs - Field-programmable gate arrays give engineers flexible, reconfigurable hardware for deterministic control, parallel data paths, and evolving standards. Altera helps innovators move from idea to deployment faster with leadership FPGAs, developer-focused software, and a pure-play commitment to programmable logic. Field-programmable gate arrays give engineers flexible, reconfigurable hardware for deterministic control, parallel data paths, and evolving standards. Altera helps innovators move from idea to… Corporate Pages The Power of Programmable Logic Field-programmable gate arrays give engineers flexible, reconfigurable hardware for deterministic control, parallel data paths, and evolving standards. Altera helps innovators move from idea to deployment faster with leadership FPGAs, developer-focused software, and a pure-play commitment to programmable logic. Why FPGAs Matter What Is an FPGA? FPGAs do not replace CPUs, GPUs, ASICs, or ASSPs. In most systems, FPGAs work alongside these architectures, handling the workloads where programmable logic adds the most value. The right architecture depends on the workload, system constraints, and lifecycle requirements. FPGA vs. CPU, GPU, ASIC, and ASSP Engineers comparing architectures often evaluate FPGA vs. CPU for real-time control, FPGA vs. GPU for AI inference, FPGA vs. ASIC for custom logic development, and FPGA vs. ASSP for standards-defined functions. The table below summarizes where each architecture excels and how FPGAs complement them. FPGAs and Other Architectures Architecture Best For FPGA Relationship Trade-offs CPU General-purpose sequential processing, complex software stacks FPGAs offload parallel and real-time workloads; SoC FPGAs combine both on one die Limited parallelism; OS scheduling adds latency GPU High-throughput AI training, large-scale parallel compute FPGAs handle deterministic inference and protocol processing; often co-deployed in the same pipeline High power envelope; fixed architecture; not suited for real-time control ASIC Very high-volume, fixed-function designs with frozen requirements FPGAs reduce mask NRE, enable in-field updates, and support faster iteration cycles Long development timelines; high NRE cost; cannot be updated post-fabrication ASSP Defined markets with standard functions (networking, wireless, video) FPGAs add custom logic, bridge protocols, and adapt to evolving standards alongside ASSPs Fixed feature set; limited differentiation beyond the ASSP's defined scope FPGA Real-time determinism, parallel data paths, in-field reconfigurability, evolving standards Complements and accelerates every architecture in this table Higher per-unit cost than ASIC at very high volumes; HDL design expertise required (mitigated by HLS and AI Suite) Compare Architectures View All Products Altera is the only pure-play FPGA company, with our products, software, IP, support, and partner ecosystem dedicated entirely to programmable logic. From the power-efficient Agilex™ 3 to the high-performance Agilex™ 9 family, Quartus® Prime software, and a global ecosystem of partners, we provide the technology and long-term support engineers need to innovate with confidence. Focused on FPGAs and Built for Innovation Six Reasons Engineers Choose FPGAs FPGA fabric data paths can be designed for predictable, cycle-level latency, with no OS, no interrupt latency, and no scheduling overhead. For motor control, radar, industrial automation, and robotics, this determinism is a core design requirement. Deterministic, Real-Time Performance An FPGA processes many operations simultaneously across independent logic pipelines. Signal processing, packet inspection, sensor fusion, and AI inference pipelines that handle continuous data streams in real time all benefit. Parallel Processing at Scale Products can be updated in the field as standards evolve. Altera designs its Agilex family for long-lifecycle programs, giving industrial, defense, and infrastructure customers the supply chain confidence they need for multi-decade deployments. Reconfigurability and Long-Lifecycle Value Agilex Tensor Blocks enable optimized AI and DSP computation in hardware. Altera's FPGA AI Suite provides a tool flow for deploying neural networks with custom precision, tuned to the application. AI Inference Efficiency at the Edge FPGAs avoid ASIC mask NRE and tape-out cycles. At moderate volumes, the economics strongly favor FPGAs. Engineers can prototype, test, iterate, and ship faster without waiting for silicon. Faster Time to Market Than an ASIC Agilex FPGAs integrate Arm-based hard processors, Tensor Blocks, and hardened DSP blocks. High-end Agilex 7 I- and M-Series devices add transceiver I/O at up to 116 Gbps, PCIe 5.0, CXL 2.0, and HBM2e memory up to 32 GB, reducing board area, power, and system complexity. Integration of Multiple Functions on One Device Where FPGAs are Used AI Data Centers and Cloud Computing Robotics and Physical AI Aerospace and Defence Industrial Automation 5G and Wireless Explore Altera's full FPGA portfolio. Explore FPGA Products Talk to an Altera engineer. Contact Altera Frequently Asked Questions FPGA stands for field-programmable gate array. "Field-programmable" means the device can be configured by the customer or end user, in the field after manufacturing, rather than being fixed at fabrication. "Gate array" refers to the underlying array of configurable logic gates that implement digital circuits. What does FPGA stand for? Yes. SoC FPGAs integrate embedded Arm processors alongside the programmable logic fabric on the same die. Software runs on the processor while hardware accelerators run in the FPGA fabric. Engineers can also implement soft processors, such as Altera's Nios V, directly within the FPGA logic itself. Can FPGAs run software? Yes. FPGAs are widely used for AI inference, particularly at the edge and in latency-sensitive applications. Altera's Agilex Tensor Blocks enable optimized AI computation in hardware, and the FPGA AI Suite provides a tool flow for deploying neural networks with custom precision. Learn more about Altera FPGA AI solutions. Can FPGAs run AI workloads? An FPGA is configured by loading a bitstream (a file generated by FPGA design software like Altera Quartus Prime) into the device. The bitstream programs the logic blocks, the routing between them, and the I/O behavior. Load a new bitstream and the circuit changes entirely, without replacing the physical hardware. How does an FPGA work? For specific workloads, particularly real-time signal processing, low-latency control, and parallel data pipelines, FPGAs provide performance and determinism that are difficult to achieve with CPUs alone. In most production systems, FPGAs and CPUs work together, with each handling the tasks it is best suited for. Are FPGAs faster than CPUs? GPUs are optimized for high-throughput AI training with large batch sizes and high power envelopes. FPGAs are better suited for deterministic, low-latency AI inference, particularly at the edge and in power-constrained environments. FPGAs and GPUs are often deployed together in the same AI pipeline, with each doing what it does best. What is the difference between FPGA and GPU for AI? An SoC FPGA integrates a hard processor subsystem, typically Arm Cortex-A cores, alongside the programmable logic fabric on the same device. Software running on the processor interacts directly with hardware accelerators in the FPGA fabric. Altera's Agilex 3, 5, and 7 families include SoC variants with integrated Arm processors: Cortex-A55 and Cortex-A76 in Agilex 5, Cortex-A53 in Agilex 7, and Cortex-A55 in Agilex 3. What is the difference between an FPGA and an SoC FPGA? Altera designs its FPGA families for long-lifecycle programs in industrial, defense, telecom, and infrastructure markets. Consult Altera's product longevity documentation or contact Altera directly for specific support timelines by device family. Contact Altera for longevity details. How long does Altera support its FPGA products? For learning and prototyping, the Cyclone and MAX 10 families offer an accessible entry point with extensive training content and example designs. For production designs, the right choice depends on performance, power, I/O, and lifecycle requirements. Altera's portfolio spans from the power-optimized Agilex 3 to the high-performance Agilex 7 M-Series with integrated HBM2e and Agilex 9 with Direct RF data converters. Compare Altera FPGA families. Which Altera FPGA should I start with?