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Driving Scalable AI Infrastructure with FPGA-based TCP Offload Engine
and 200G/400G Ethernet

Learn more about TOE200G-IP for Altera | Learn more about TOE200G-IP for AMD

The Rise of AI: Performance Demands Are Growing

Artificial Intelligence (AI), Machine Learning (ML), and High-Performance Computing (HPC) continue to push the boundaries of connectivity in modern data centers. Hyperscale infrastructures require solutions that deliver high bandwidth, low latency, and reliability without compromising cost-efficiency. As AI applications grow, the need for scalable, affordable communication becomes critical to balance performance and infrastructure investment.

The Role of FPGA: Bridging AI Compute Nodes with 200G/400G Ethernet

FPGA technology bridges PCIe-based AI accelerators and Ethernet networks for seamless communication. Our TOE200GADV-IP Core delivers pure hardware-based 200G TCP offloading, eliminating software bottlenecks to maximize throughput. This enables cost-efficient, high-performance connectivity for AI workloads at scale with 200G/400G or beyond Ethernet speed.

Ethernet vs. InfiniBand: Balancing Cost and Performance While InfiniBand has long been recognized for its performance benefits in high-performance environments, it comes with significant cost and complexity. In contrast, Ethernet provides a widely adopted, cost-effective alternative with scalability and compatibility across existing data center infrastructure. YouTube Video Blog Article		RoCE vs. TCP: Usability Matters RDMA over Converged Ethernet (RoCE) and TCP/IP both play a role in high-speed communication, but TCP brings unmatched flexibility and usability: RoCE can deliver low latency but often requires specialized network infrastructure, increasing cost and deployment complexity. TCP/IP, supported universally, simplifies implementation on Ethernet networks while delivering sufficient performance for many AI and HPC workloads.
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Our TOE200GADV-IP core further enhances TCP/IP performance, ensuring high-speed, reliable communication without the need for additional software or network adjustments. Lean more about TOE200GADV-IP
Why FPGA & TOE200GADV-IP core Excel in AI Infrastructure The TOE200GADV-IP core delivers key benefits for AI-driven data centers: High Performance: Pure hardware logic enables 200G TCP offloading and beyond. Cost Efficiency: Reduces reliance on expensive, proprietary networks like InfiniBand. Scalability: Supports Ethernet-based infrastructure, allowing seamless upgrades. Flexibility: Compatible with existing AI compute nodes, simplifying deployment. By leveraging FPGA-based TCP/IP solutions, data centers can achieve a perfect balance of cost-effective hardware and acceptable performance, making it ideal for AI and HPC applications at scale. Unlock the Power of Ethernet for AI Infrastructure As the demand for AI accelerates, cost-effective, scalable connectivity is key. The TOE200GADV-IP core empowers hyperscale environments to achieve the performance and reliability needed for cutting-edge AI workloads—without breaking the bank. Contact

TOE-IP core series YouTube Videos

Economic Scalability: How Ethernet Transforms AI Data Center Connectivity YouTube Video \| Blog Article	Empower your 200GbE FPGA farms with FPGA-based TCP/IP YouTube Video \| Blog Article
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The Rise of AI: Performance Demands Are Growing

The Role of FPGA: Bridging AI Compute Nodes with 200G/400G Ethernet

Unlock the Power of Ethernet for AI Infrastructure