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Intel Ships Industry's First 58G PAM4-Capable FPGA

Intel today announced it has begun shipping its Intel Stratix 10 TX FPGAs, the industry's only field programmable gate array (FPGA) with 58G PAM4 transceiver technology. By integrating the FPGA with 58G PAM4 technology, Intel Stratix 10 TX FPGAs can double the transceiver bandwidth performance when compared to traditional solutions. This exceptional bandwidth performance makes the Intel Stratix 10 TX FPGAs the essential connectivity solution for next-generation use cases: optical transport networks, network function virtualization (NFV), enterprise networking, cloud service providers and 5G networks applications where high bandwidth is paramount.

To facilitate the future of networking, NFV and optical transport solutions, Intel Stratix 10 TX FPGAs provide up to 144 transceiver lanes with serial data rates of 1 to 58 Gbps. This combination delivers a higher aggregate bandwidth than any current FPGA, enabling architects to scale to 100G, 200G and 400G delivery speeds. By supporting dual-mode modulation, 58G PAM4 and 30G NRZ, new infrastructure can reach 58G data rates while staying backward-compatible with existing network infrastructure. A wide range of hardened intellectual property (IP) cores, including 100GE MAC and FEC, deliver optimized performance, latency and power.

Intel Unveils Industry's First FPGA Integrated with HBM - Built for Acceleration

Intel today announced the availability of the Intel Stratix 10 MX FPGA, the industry's first field programmable gate array (FPGA) with integrated High Bandwidth Memory DRAM (HBM2). By integrating the FPGA and the HBM2, Intel Stratix 10 MX FPGAs offer up to 10 times the memory bandwidth when compared with standalone DDR memory solutions1. These bandwidth capabilities make Intel Stratix 10 MX FPGAs the essential multi-function accelerators for high-performance computing (HPC), data centers, network functions virtualization (NFV), and broadcast applications that require hardware accelerators to speed-up mass data movements and stream data pipeline frameworks.

In HPC environments, the ability to compress and decompress data before or after mass data movements is paramount. HBM2-based FPGAs can compress and accelerate larger data movements compared with stand-alone FPGAs. With High Performance Data Analytics (HPDA) environments, streaming data pipeline frameworks like Apache Kafka and Apache Spark Streaming require real-time hardware acceleration. Intel Stratix 10 MX FPGAs can simultaneously read/write data and encrypt/decrypt data in real-time without burdening the host CPU resources.
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