Intel® Quartus® Prime Pro Edition Version 20.4 Software Now Ready for Download - Intel® Quartus® Prime Pro Edition Version 20.4 Software is now available for download. In addition to functional and security updates, the new development software for Intel® FPGAs incorporates many new features including: Partial reconfiguration and encrypted partial reconfiguration bitstream support Intel Stratix® 10 devices Enhanced handling of Intel FPGA designs with large inferred RAM...
read moreFPGA-based reference design from Algo-Logic and Intel cuts high-speed financial trading latency by 3.8X - Algo-Logic and Intel have developed a high-speed reference framework design that offloads the network stack required for high-speed financial trading to logic instantiated in an Intel® Stratix® 10 FPGA on the Intel® FPGA Programmable Acceleration Card (Intel® FPGA PAC) D5005 platform. The reference design includes: A fast PCIe interface (the Algo-Logic Fast Data Mover) A...
read moreAre FPGAs good for accelerating AI? VentureBeat takes a closer look - VentureBeat has just posted an article titled “FPGA chips are coming on fast in the race to accelerate AI” that takes an in-depth look at the use of FPGAs for Artificial Intelligence (AI) applications. The article cites five AI application challenges that FPGAs help to overcome: Overcoming I/O bottlenecks Providing acceleration for high performance computing...
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Intel® Quartus® Prime Pro Edition Version 20.4 Software Now Ready for Download - Intel® Quartus® Prime Pro Edition Version 20.4 Software is now available for download. In addition to functional and security updates, the new development software for Intel® FPGAs incorporates many new features including: Partial reconfiguration and encrypted partial reconfiguration bitstream support Intel Stratix® 10 devices Enhanced handling of Intel FPGA designs with large inferred RAM...
read moreFPGA-based reference design from Algo-Logic and Intel cuts high-speed financial trading latency by 3.8X - Algo-Logic and Intel have developed a high-speed reference framework design that offloads the network stack required for high-speed financial trading to logic instantiated in an Intel® Stratix® 10 FPGA on the Intel® FPGA Programmable Acceleration Card (Intel® FPGA PAC) D5005 platform. The reference design includes: A fast PCIe interface (the Algo-Logic Fast Data Mover) A...
read moreAre FPGAs good for accelerating AI? VentureBeat takes a closer look - VentureBeat has just posted an article titled “FPGA chips are coming on fast in the race to accelerate AI” that takes an in-depth look at the use of FPGAs for Artificial Intelligence (AI) applications. The article cites five AI application challenges that FPGAs help to overcome: Overcoming I/O bottlenecks Providing acceleration for high performance computing...
read moreBittWare’s 520NX Accelerator Card harnesses AI-optimized power of the Intel® Stratix® 10 NX FPGA - BittWare has just announced the 520NX AI Accelerator PCIe card based on the AI-optimized Intel® Stratix® 10 NX FPGA, which incorporates specialized AI Tensor blocks with a theoretical peak computational speed of 143 INT8 TOPS and 8 Gbytes of in-package, stacked high-bandwidth memory (HBM2). In addition to the Intel Stratix 10 NX FPGA’s internal resources,...
read moreIntel® Open FPGA Stack Eases Development of Custom Acceleration Platform Solutions - The developer’s dilemma for any new FPGA-based acceleration platform, comprising FPGA hardware design, host software stack and application workloads, centers on how much to develop from scratch versus reuse or license. Schedules are often tight and the design team may not have all of the necessary hardware, software, and application development expertise. The new Intel®...
read moreThe Intel® eASIC™ Diamond Mesa structured ASIC technology now has a name: Intel eASIC N5X - The Intel® eASIC™ N5X structured ASIC is the industry's newest and most capable structured ASIC family. This product cuts power consumption and achieves higher performance relative to FPGAs, and ultimately enables faster TTM relative to ASICs. Intel eASIC N5X devices are the first structured ASICs from Intel that leverage Intel innovations such as the hard...
read moreBittWare IA-840F FPGA Accelerator PCIe Card bristles with high-speed I/O, is based on an Intel® Agilex™ FPGA - The BittWare IA-840F FPGA Accelerator PCIe Card bristles with high-performance I/O capabilities including two QSFP-DD optical cages (together capable of supporting four 100G Ethernet ports), a PCIe Gen4 x16 host interface, and three MCIO expansion ports for diverse applications. The MCIO ports can be used for high-bandwidth, low-latency, board-to-board communications or for high-speed connections to...
read moreGold Release of Intel® oneAPI Toolkits arrive in December: One Programming Model for a Heterogeneous World of CPUs, GPUs, and FPGAs - This week at the Supercomputing 2020 (SC20) conference, Intel announced that the gold release of the Intel® oneAPI toolkits will become available next month. The oneAPI industry initiative is creating a unified and simplified cross-architecture programming model that delivers uncompromised performance without proprietary lock-in, while allowing you to integrate legacy code. Intel oneAPI Toolkits allow...
read moreGot burning questions about Platform Designer in Intel® Quartus® Prime design software? Get ‘em answered during “Office Hours” on November 19 - On November 19th at 8:00 am Pacific Time, Intel will hold an online “Office Hours” session titled “Creating Designs using Platform Designer.” Platform Designer is the system integration tool found in the Intel® Quartus® Prime design software for Intel® FPGAs. Platform Designer simplifies the task of defining and integrating custom IP components into your FPGA...
read moreMore details on the Intel® Stratix® 10 NX FPGA, the first AI-optimized Intel® FPGA, now available in a new White Paper - The increasing complexity of AI models and the explosive growth of AI model size are both rapidly outpacing innovations in compute resources and memory capacity available on a single device. AI model complexity now doubles every 3.5 months or about 10X per year, driving rapidly increasing demand in AI computing capability. Memory requirements for AI...
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