Description
Xilinx Alveo U200 FPGA with 64GB HBM2. Enterprise-grade AI/ML accelerator, FPGA mining, trading & HPC workloads. PCIe Gen3 x16, ultra-low latency.
Product Features
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🚀 64GB HBM2 Memory with 77 GB/s bandwidth for ultra-fast performance
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🔧 Xilinx Kintex UltraScale+ FPGA architecture (XCKU15P)
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⚡ PCIe Gen3 x16 interface for maximum throughput
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🌐 2x QSFP28 100GbE ports for high-speed networking
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🔥 Enterprise cooling system for 24/7 workloads
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🧠 Optimized for AI/ML inference acceleration (10x faster vs GPUs)
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💹 Low-latency trading acceleration for financial markets
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⛏️ FPGA-based crypto mining flexibility over ASICs
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🖥️ Data center ready with 225W power envelope
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🔒 Built for scientific computing, 5G/telecom & HPC
General Product Information
The AMD Xilinx Alveo U200 FPGA Accelerator Card is an enterprise-grade data center powerhouse, purpose-built for AI/ML, HPC, financial trading, telecom, and blockchain mining. Equipped with 64GB of HBM2 high-bandwidth memory, it provides unmatched performance, ultra-low latency, and scalability for the most demanding workloads.
At its core is the Xilinx Kintex UltraScale+ FPGA (XCKU15P), enabling developers, researchers, and enterprises to customize hardware acceleration for unique applications. With PCIe Gen3 x16 connectivity, 2x QSFP28 100GbE networking ports, and an active cooling solution, the Alveo U200 delivers consistent and reliable performance in mission-critical environments.
Whether you’re an AI engineer running large-scale inference, a quantitative trader seeking microsecond latency, or a crypto miner leveraging FPGA adaptability, the Xilinx Alveo U200 provides the flexibility, efficiency, and raw compute power that standard GPUs can’t match.
Technical Specifications Table
| Specification | Details |
|---|---|
| Brand | AMD Xilinx |
| Model | Alveo U200 |
| FPGA Architecture | Kintex UltraScale+ XCKU15P |
| Memory | 64GB HBM2 (77 GB/s bandwidth) |
| Internal SRAM | 35MB (31 TB/s bandwidth) |
| Interface | PCIe Gen3 x16 |
| Network | 2x QSFP28 (100GbE) |
| Cooling | Active cooling system |
| Power Consumption | 225W (data center qualified) |
| Performance | Up to 18.6 INT8 TOPs |
| Form Factor | Standard full-height PCIe card |
| Warranty | Manufacturer / seller warranty |
Compatible Products
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Server Platforms: Dell PowerEdge, HPE ProLiant, Supermicro GPU/FPGA servers
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Motherboards: PCIe Gen3 x16 compatible boards (Intel Xeon & AMD EPYC)
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Operating Systems: Ubuntu, CentOS, Red Hat Enterprise Linux, Windows Server
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Software Frameworks: Xilinx Vitis, TensorFlow, PyTorch (with FPGA acceleration libraries)
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Networking: QSFP28-based 100GbE switches and NICs
Ideal Use Cases
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AI & Machine Learning Inference – accelerate deep learning workloads
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High-Frequency Trading (HFT) – achieve microsecond-level latency
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Cryptocurrency Mining – leverage FPGA flexibility for algorithms
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5G/Telecom Networks – accelerate packet processing and network functions
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Scientific Research – genomics, simulations, HPC workloads
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Enterprise Databases – boost analytics and query performance
Comparison Angle
Compared to traditional GPUs, the Xilinx Alveo U200 FPGA provides 10x faster inference performance, lower latency, and customizable acceleration. Unlike ASIC miners or fixed-function cards, it delivers programmable flexibility, making it ideal for diverse workloads across AI, finance, telecom, and research.
Cross-Sell / Upsell Suggestions
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Other FPGA cards: Xilinx Alveo U250, U280 (higher memory and performance tiers)
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High-speed networking gear: QSFP28 100GbE switches & NICs
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Enterprise SSD storage: NVMe and SAS SSDs for high-throughput environments
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Server upgrades: Intel Xeon & AMD EPYC processors, compatible DDR4/DDR5 ECC RAM