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Is anybody else completely dissatisfied with this new forum?
This used to be a robust forum, lots of new questions everyday and, most impotantly, lots of responses. This new forum is clunky and time consuming to navigate. Nobody seems interested anymore. I used to check-in everyday to see what's new. Not any more.41KViews15likes119CommentsRepeat of a Questa License Issue
Questa licenses generated since approximately January 29 (the last date I was able to help a student configure a properly generated license) have contained the following message in place of what I presume is the normal license key: ################################################################################ # FEATURE START # This is license file for Questasim*-Intel FPGA Starter Edition # Number of seat licenses is 1 # License Expires 02-Feb-2027 300 Your license version is outside the range of the contract. # FEATURE END ################################################################################ # End of Intel Corporation Software and/or Intellectual Property License File. Issued 02/02/2026 This appears to be the same thing that happened in December 2025, and may be a sign that the licensing site is down or suffering some issue. Questa License Issue | Altera Community - 247818 Any advice would be appreciated.1.1KViews8likes24CommentsOMG. What did you think?
As there doesn't seem to be any dedicated feedback forum for forum issues anymore, I post here to express my complete dissatisfaction with the new 'solution': Although the old Altera forums weren't especially fast and user friendly, the new one appears to me as huge quantum leap. Backwards. It's awfully slow, apparently buggy (messages about Javascript blocking the browser everywhere), pages constantly displaying busy indicators. Long story short: I consider it completely useless in it's current state. If you want to get rid of your trusty Altera customers, this is a perfect way to do so...8.9KViews8likes32CommentsIntel® FPGA AI Suite melds with OpenVINO™ toolkit to generate heterogeneous inferencing systems
3 MIN READ The Intel® FPGA AI Suite enables FPGA designers, machine learning engineers, and software developers to efficiently create and optimize AI inferencing platforms to meet best-in-class performance, power, and cost goals.8.1KViews6likes0CommentsWhy do I unexpectedly observe intermittent DDM Errors?
Description Beginning January 10, 2026, executing commands in the terminal or GUI of Quartus® Prime Pro Edition software, Quartus Embedded Edition software or select standalone tools may cause the software or tool to crash with an error similar to the crash signature shown below. This error affects: Quartus Prime Pro Software versions v23.3 through v25.3.1 Standalone Quartus Prime Pro Programmer v23.3 through v25.3.1 Standalone Quartus Prime Pro Embedded Edition v25.3 and v25.3.1 Standalone Quartus Prime Pro Power Thermal Analyzer v25.3 through v25.3.1 This issue is not observed in Quartus Prime Pro Edition versions 23.2 or prior or Quartus Prime Standard Edition. Crash Signature: Error (22912): Unhandled exception: Fatal Error: Assertion failed tools/cpp/ddm/ddm_assessor.cpp:53: DDM_T::verify_token(token) : Cannot identify the client from function assertion_error in tools/cpp/ddm_report/ddm_report_msg.cpp@465 *** Fatal Error: Program termination requested *** *** Below is the stack trace at the time the error occurred. *** The lines beginning "Err Handler" represent frames relating *** to generating this report. *** The point at which the error occurred is somewhere after these lines. *** There may be a few frames representing standard/library code *** before the Quartus frames begin. *** The search for the error should begin with the Quartus frames. *** Unwinder: libunwind *** Stack depth: 15 Quartus 0x24e67: err_terminator() + 0x1bc (ccl_err) Quartus 0xb036a: __cxxabiv1::__terminate(void (*)()) + 0xa (stdc++) Quartus 0xb03d5: (stdc++) Quartus 0xb0628: (stdc++) Quartus 0x1680d: void ddm_throw<DDM_RUNTIME_ERROR>(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0x26d (ddm_report) Quartus 0x13fae: DDM_REPORT::DDM_ASSERTION_HANDLER::assertion_error(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) const + 0xde (ddm_report) Quartus 0x12a52: DDM_REPORT::ASSERTION_HANDLER::error(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x72 (ddm_report) Quartus 0x13e64: DDM_REPORT::detail::assert_at_line(char const*, char const*, int, char const*, ...) + 0x1b4 (ddm_report) Quartus 0x205fb0: ddm_set_lassessor(DDM_T_ASSESSOR*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0x60 (ddm) Quartus 0xf4445: DMS_MANAGER::DMS_MANAGER() + 0x5c5 (dni_dms) Quartus 0xf45b2: DMS_MANAGER::get() + 0x7a (dni_dms) Quartus 0xf6db4: _GLOBAL__sub_I_dms_manager.cpp + 0x58 (dni_dms) Quartus 0x647e: (ld-linux-x86-64) Quartus 0x6568: (ld-linux-x86-64) Quartus 0x202ca: (ld-linux-x86-64) Resolution To work around this problem: For Windows machines Download and unzip the Quartus Prime Pro version zip file that matches your Quartus Prime Pro version from this KDB. Double click on the executable ending in “windows.exe”. When the GUI pops up, press Next. Note that the GUI may look slightly different depending on the version of Quartus you are using. Accept the license agreement Specify the directory where the patch needs to be applied which may be a different location than Quartus install if you have standalone tools in a different directory from your Quartus Prime Pro software installation. Keep “Allow Patch to be uninstalled” selected. Select the software in which to install the patch: The patch will install in the directory of the software or tool you have selected. You will see an uninstall directory for the patch in your software or tool folder where patch is installed; it will contain an executable to uninstall the patch if required for any reason. To confirm patch is installed, you can run quartus_sh -v or corresponding version command for your tool via command line. Alternatively, you can Open Quartus in the GUI and select Help → About Quartus Prime in the main menu. If you are opening up a standalone tool you will navigate to Help-> About <tool_name>. For the Command Line Implementation of the patch in Windows, use the following command: <patch_filename.exe> --mode unattended --installdir <your_install_directory> --accept_eula 1 --patch_to [quartus|qprogrammer|qemb|pta] # An example to patch Quartus Prime Pro Edition Software v25.3: quartus-25.3-0.27-windows.exe --mode unattended --installdir /tmp/altera_pro/25.3 --accept_eula 1 # An example to patch the Standalone Programmer for Quartus Prime Pro Software v25.3: quartus-25.3-0.27-windows.exe --mode unattended --installdir /tmp/altera_pro/25.3 --accept_eula 1 --patch_to qprogrammer For Linux machines: Download and unzip the Quartus Prime Pro version zip file that matches your Quartus Prime Pro version from this KDB. Ensure you run chmod +x on the file ending with linux.run. Run in the command line: ./<installation_patch_run_file>. When GUI pops up, press Next. Note that the GUI may look slightly different depending on the version of Quartus you are using. Accept the license agreement Specify the directory where the patch needs to be applied which may be a different location than Quartus install if you have standalone tools in a different directory from your Quartus Prime Pro software installation. Keep “Allow Patch to be uninstalled” selected. Select the software in which to install the patch: The patch will install in the directory of the software or tool you have selected. You will see an uninstall directory for the patch in your software or tool folder where patch installed; it will contain an executable to uninstall the patch if required for any reason. To confirm patch is installed, you can run ./quartus_sh -v or corresponding version command for your tool via command line. Alternatively, you can Open Quartus in the GUI and select Help → About Quartus Prime in the main menu. If you are opening up a standalone tool you will navigate to Help-> About <tool_name>. For the Command Line Implementation of the patch in Linux, use the following command: ./<patch_filename.run> --mode unattended --installdir <your_install_directory> --accept_eula 1 --patch_to [quartus|qprogrammer|qemb|pta] # An example to patch Quartus Prime Pro Edition v25.3: ./quartus-25.3-0.27-linux.run --mode unattended --installdir /tmp/altera_pro/25.3 --accept_eula 1 # An example to patch the Standalone Programmer for Quartus Prime Pro Software v25.3: ./quartus-25.3-0.27-linux.run --mode unattended --installdir /tmp/altera_pro/25.3 --accept_eula 1 --patch_to qprogrammer This problem has been fixed in Quartus® Prime Pro Edition Software version 26.1. The below table lists the patches that are available and the associated patch number. The patch zip files are attached to the KDB below: Quartus Prime Pro Edition Version Patch Number 23.3 0.52 23.4 0.70 23.4.1 1.01 24.1 0.52 24.2 0.64 24.3 0.35 24.3.1 1.29 25.1 0.36 25.1.1 1.31 25.3 0.27 25.3.1 1.02Quartus Pro 25.3 crash using rhel7/8
Hello everybody I'm working on an Agilex-5 project since fex months on our internal couputer farm using Quartus Pro 25.3. To generate the final bitstream, a bash script is used to execute all the steps. Until now, we have no specific issue using this script with Quartus. But since few days, we're unable to generate the project because Quartus Pro returns strange errors (see attachments). We also tried to use latest 23.5.1 version on an Ubuntu host under WSL and we also saw the same errors. Running Quartus GUI may also end with same error. (see quartus_4.png) Has anyone already experienced this issue? Thanks a lot BenjaminSolved2.5KViews5likes22CommentsQuartus programmer for Linux ARM / ARM64
Hi Intel, Would it be possible to support the quartus programmer on linux for arm and arm64 platforms? In our lab we have several raspberrypi's for remote debugging of systems. We use them for serial consoles, power cycling devices or simple digital IO. This makes remote debugging and testing possible from behind our desk while the physical hardware is in the lab. The only thing we are missing is the possiblity to hookup a USB-blaster to get access to signaltap instances or use the nios debugger. We can use a regular PC in the lab and connect to the Jtag-server running on it, but this is not as flexible as a small single board computer like the raspberrypi is. Would it be an idea to support the arm / arm64 architecture for the quartus programmer, or just the jtag-server? Kind regards, Rienk de Jong8.2KViews5likes7CommentsIs https://fpgasoftware.intel.com down?
Hi, I am trying to access https://fpgasoftware.intel.com, in order to download a version of Quartus. Nevertheless, I am not able to do so as it seems that the site is down. I tried using my account from 2 different browsers, Firefox and Safari. Is this the case or is it only from my side? Thanks, Nassos2KViews5likes5Comments* Error (suppressible): (vsim-12110) The -novopt option has no effect on this product
# ** Error (suppressible): (vsim-12110) The -novopt option has no effect on this product. -novopt option is now deprecated and will be removed in future releases. # Error loading design Error loading design45KViews5likes8CommentsCan't download Quartus II Lite
So I've been tasked with updating a MAX V CPLD design. So I attempt to download Quartus II, and I'm getting a "Our apologies.. the server is unable to process your request" error. See attached image. I've tried Firefox and Chrome, tried downloading different versions, cleared my browser cookies, no luck. Even the MAX II/V driver pack won't download - same error every time. I click a link, it asks me to log in again (I'm already logged in) and I get the error. I entered a support ticket on the website already to report the website issue, and they asked me to create a forum account and ask my question here instead. Well here you go. Since the website doesn't work, is there a FTP site or some other place I can download this? Thanks.Solved3.7KViews5likes12Comments
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Recent Blogs
As AI, cloud, and high-performance computing systems continue to scale, data center operators need more bandwidth within increasingly constrained power and thermal envelopes. Linear Pluggable Optics (LPO) offers an important path forward by simplifying optical modules, reducing power consumption, and lowering latency. LPO places signal-conditioning responsibilities in the host device, allowing the optical module to operate without the DSP used in traditional retimed optics. This architecture can reduce optical module power by 30% to 40%, helping data center designers increase connectivity density while simplifying cooling and thermal management. Altera Brings LPO to the FPGA Market Altera is the first FPGA provider to publicly demonstrate Linear Pluggable Optics interoperability using production FPGA devices. Continued validation with LPO modules from Amphenol and FS further demonstrates the breadth of the emerging ecosystem supported by Altera. Agilex® 7 FPGAs and SoCs bring the power and latency advantages of LPO to programmable platforms used in SmartNICs, data processing units, AI accelerators, and custom infrastructure. The initial public demonstration established that Agilex 7 devices could successfully interoperate with 400G LPO modules. The latest validation advances that milestone by confirming that the implementation meets the performance requirements expected for deployment in demanding data center environments. Validated for Real Deployment Conditions Comprehensive testing confirms that Agilex 7 F-Tile transceivers meet the electrical and link-performance requirements defined by the 100G-DR-LPO specification. The validation demonstrated: Compliance with the required transmit, receive, and link-performance criteria Successful interoperability with LPO modules from Amphenol and FS Successful LPO connectivity across distances from 1 meter to 500 meters Consistent performance across temperature and voltage conditions Measurable performance margin beyond required thresholds Testing covered demanding signal conditions, voltage variation, and temperatures ranging from minus 40 degrees Celsius to 105 degrees Celsius for electrical characterization. Functional link testing included a 1-meter LPO connection, a 100-meter active optical cable, and 500-meter LPO modules from Amphenol and FS. The results demonstrate robust, repeatable operation across multiple module suppliers and link distances, with measurable margin relative to the required performance limits. For customers, this validation provides confidence that Agilex® 7 support for LPO is ready for real-world deployment. Following the industry’s first public FPGA interoperability demonstration, the solution has now been evaluated against LPO performance requirements using modules from multiple suppliers and over link distances up to 500 meters. Together, these results demonstrate a practical foundation for deploying LPO connectivity in next-generation data center systems. More Efficient Connectivity for AI and Cloud Infrastructure The value of LPO grows as data centers deploy more high-speed optical connections. Eliminating the DSP from each optical module can reduce power across thousands of links, simplify optical module design, ease thermal pressure at the front panel, and support lower-latency data movement. Agilex 7 FPGAs add programmability to this more efficient optical architecture. Customers can combine LPO connectivity with packet processing, acceleration, security, telemetry, and evolving protocol support on a single adaptable platform. This flexibility is especially valuable for AI clusters and cloud infrastructure, where workloads, network architectures, and connectivity standards continue to evolve. Validation with multiple module vendors also gives system designers greater flexibility as the LPO supplier ecosystem continues to develop. Ready for the Next Generation of Data Centers The combination of public interoperability and comprehensive validation marks a major step for LPO in the FPGA market. Altera has demonstrated that LPO works with production Agilex 7 devices and validated that the solution meets key LPO requirements with measurable operating margin. This gives customers a proven foundation for evaluating and deploying lower-power, lower-latency optical connectivity in real data center environments. With Agilex® 7 FPGAs, LPO is ready for real-world data center deployment.
18 days ago0likes
Security requirements are entering a new phase. Systems being designed today may remain deployed for many years, while regulatory expectations, cryptographic standards, and threat models continue to evolve. For designs in industrial, communications, infrastructure, aerospace, defense, and embedded applications, long-term security is becoming a core platform requirement. FPGA-based designs allow designs to meet today’s security needs and evolve with tomorrow’s requirements. Altera is now offering Agilex® 3 and Agilex® 5 devices with PQC-enabled secure boot and configuration support, helping customers prepare for the next generation of security requirements. With the Quartus® Prime Pro Edition 26.1.1 release, customers can begin using a PQC flow that works with Agilex 3 and Agilex 5 based hardware. This milestone extends the security architecture already built into the Agilex platform. Agilex devices use the Secure Device Manager as a hardware root of trust for secure configuration and device management. By combining PQC-capable devices with Quartus software enablement, Altera is helping customers strengthen the FPGA chain of trust as post-quantum requirements move from planning to implementation. The value is immediate and practical. Customers can start designing with supported devices today, while using Quartus 26.1.1 to take advantage of the current software flow. This gives teams a path to address emerging compliance and security expectations without needing a future platform redesign. The same hardware foundation also allows for additional security enhancements over time. Customers designing with PQC-capable Agilex 3 and Agilex 5 devices can benefit from planned software and firmware improvements enabled by the underlying hardware, with no further FPGA hardware upgrade required for those enhancements. Agilex 3 devices bring this capability to power- and cost-optimized FPGA and SoC designs used in embedded, edge, industrial, control, and platform-management applications. Agilex 5 devices extend the same security direction into mid-range FPGA and SoC designs that require higher performance, greater integration, and broader system capability. Post-quantum readiness will continue to advance, and Altera is building that evolution into the Agilex platform roadmap. With PQC-capable Agilex 3 and Agilex 5 devices and Quartus 26.1.1 software enablement, customers have a practical starting point today and a scalable foundation for future security enhancements.
23 days ago0likes
Altera has started to sample Agilex® 5 D-Series FPGA devices to customers, expanding the Agilex 5 family for customers building higher-performance midrange systems. This adds a second Agilex 5 path alongside Agilex 5 E-Series FPGAs, which are already in full production. Agilex 5 E-Series remains the production-ready choice for power- optimized midrange designs. It is a strong fit when customers need production availability, efficient power, and right-sized capability for applications such as industrial control, edge compute, physical AI, and embedded systems. Agilex 5 D-Series extends the family for designs that need more system performance headroom. It is intended for applications that place heavier demands on signal processing, embedded memory, memory bandwidth, and fabric performance, including broadcast, wireless, video, AI-enabled embedded systems, and higher-performance applications that benefit from memory interfaces such as DDR5 and LPDDR5 capability. One Agilex 5 family, two design paths Agilex 5 E-Series Agilex 5 D-Series In full production Engineering samples available Power-optimized midrange designs Higher-performance midrange designs Right-sized logic and efficient power More DSP, embedded memory, EMIF bandwidth, and higher DDR and LPDDR bandwidth Industrial control, edge compute, physical AI and embedded systems Data Center, Communications, Broadcast, video, and AI-enabled embedded systems Together, Agilex 5 E-Series and D-Series enable customers a clearer way to choose the right midrange FPGA path: production deployment today with E-Series, or higher-performance design evaluation with D-Series. Customers evaluating Agilex 5 D-Series can begin real-silicon design work with Quartus® Prime Pro Edition 26.1.1 support. To order Agilex 5 D-Series engineering samples, please contact your Altera representative. Visit the Agilex 5 D-Series page Visit the Quartus Pro 26.1 Page
23 days ago0likes
Quartus® Prime Pro Edition 2026.1.1 expands memory options across the Agilex® FPGA portfolio. Memory is increasingly setting the performance, power, and lifecycle limits of modern systems. AI acceleration, packet processing, storage, video, industrial automation, and edge computing all depend on moving large amounts of data efficiently. At the same time, memory availability and vendor transitions can force design teams to revisit component choices long after a platform architecture has been selected. With Quartus® Prime Pro Edition 2026.1.1, Altera expands memory options across the Agilex portfolio. The release brings higher-speed DDR5 and LPDDR5 options to Agilex 7 M-Series FPGAs and SoCs, broadens component choice through documented LPDDR5X device support, and extends LPDDR5 support to Agilex 3 FPGAs and SoCs. Together, these enhancements give designers greater flexibility to balance performance, power, footprint, memory cost, and supply continuity. What is new with Quartus Prime Pro Edition 2026.1.1 Enhancement Customer value DDR5-6400 and LPDDR5-6400 on Agilex 7 M-Series devices Higher Memory Bandwidth Raises the maximum supported memory data rate from 5600 to 6400 MT/s, an increase of more than 14%. DDR5 delivers up to 204.8 GB/s of aggregate bandwidth, while LPDDR5 provides a lower-power, compact-footprint option for bandwidth-intensive designs. LPDDR5X device use in LPDDR5-compatible mode New Sourcing Option Adds sourcing flexibility when LPDDR5 availability, or component strategy favors an LPDDR5X device. LPDDR5 now available for Agilex 3 devices New Memory Support Added Brings a modern low-power memory option to power- and cost-optimized Agilex 3 device configurations. Two 6400 MT/s paths for high-performance systems Agilex 7 M-Series FPGAs and SoCs already combine high logic density, high-speed connectivity, and advanced external memory functionality in a device family available today in full-volume production. Quartus Prime Pro Edition 2026.1.1 strengthens that family’s offering with DDR5-6400 and LPDDR5-6400 in approved configurations. For DDR5, the move from 5600 MT/s to 6400 MT/s increases the maximum data rate by more than 14%. That additional throughput can help AI, networking, storage, and infrastructure designs sustain higher data movement without expanding the FPGA footprint. It can also give architects more flexibility in how they meet a target bandwidth, including the potential to optimize channel count, DIMM selection, board space, and subsystem complexity when the application and supported configuration allow it. LPDDR5-6400 brings a second option to the same top-line interface rate. LPDDR5 is increasingly relevant beyond mobile products because it combines strong bandwidth with lower I/O power and a compact board footprint. Those characteristics are valuable in embedded systems, smart network interface cards, industrial platforms, edge compute, and other designs, where thermal limits and board area matter alongside performance. The result is a high-end FPGA platform that lets designers choose between DDR5 for capacity and server-class memory options, or LPDDR5 for power and footprint efficiency, while reaching up to 6400 MT/s and 204.8 GB/s of aggregate memory bandwidth in selected Agilex 7 M-Series device configurations. LPDDR5X device compatibility adds practical supply-chain flexibility The LPDDR5X enhancement addresses a different customer need. LPDDR5X devices are backward compatible with the LPDDR5 interface, so components can be used with an Agilex LPDDR5 memory interface while operating at the same speeds, voltages, and specifications as the LPDDR5 configuration. Customers can now design with LPDDR5X components in LPDDR5-compatible mode with greater confidence, backed by documented Altera support process. A complete memory offering across the Agilex portfolio Because the Agilex portfolio spans high-performance, mid-range, and power- and cost-optimized devices, customers can carry a consistent FPGA architecture and Quartus development flow across products with very different memory requirements. That continuity helps reduce redesign effort and gives engineering teams more freedom to scale compute, connectivity, and memory together. Teams can preserve DDR4 or LPDDR4 where product requirements, temperature range, or supply conditions still favor those technologies. New designs can move to DDR5 or LPDDR5 for higher bandwidth and better system efficiency. LPDDR5X device compatibility provides an additional sourcing path without requiring customers to redesign a separate memory interface. Explore Agilex FPGA external memory solutions and review the Quartus Prime Pro Edition 2026.1.1 documentation for supported devices, speed grades, memory components, and configurations.
23 days ago0likes
A customer recently shared with me an interesting way they viewed the updated Altera brand: It’s like a long-time friend who had moved away for a few years but is now back and it’s time to get caught up. One of the things customers might want to 'catch up' on is Altera's efforts with regards to AI. It started when early FPGA products included the first basic digital signal processing (DSP) circuits within the FPGA fabric to improve performance for math-based logic, such as Fast Fourier transforms (FFTs) and finite impulse response (FIR) filters. These early enhancements improved general purpose FPGA-based computing but since 2015, our focus has shifted to improving AI capabilities in both silicon and software tools. DSP capabilities have gotten more sophisticated (fixed point, floating point, small and large bit precisions, etc.) and the quantity of available DSPs within a single device, have increased dramatically. Modern FPGAs are now capable of handling complex equations, especially those needed with the introduction of AI. This historical reminisce catches us up all the way until today’s news, where the latest Altera FPGA family is now broadly available to any customer who wants it; Agilex™ 5 SoC FPGAs, the first FPGAs infused with AI tensor blocks throughout the FPGA fabric. A short list of features that would be attractive to embedded or intelligent edge applications include: For those haven’t heard about Agilex™ 5 devices before today, here is how you can get started: Learn about the family. Review technical details. Download FPGA software. Free for anyone wanting access to Agilex™ 5 E-Series devices: Download Quartus® Prime Pro Test drive hardware (generally available now, lead-times may apply, via franchised distributors): Buy Altera development kits or 3rd party boards and SoMs The initial wave of board/SoM options include 9+ variants, with more coming. Evaluate AI or embedded options: Test out the FPGA AI Suite. Contact Altera sales for limited time introductory pricing. Utilize 3rd party tools (Arm DS, MathWorks) to design for the new, best-in-class Arm dual-A76 + dual-A55 based SoC subsystem or RISC-V based Nios® V soft IP processors. Altera is announcing the Agilex™ 5 family broad availability coincident with Embedded World 2024 because it is one of the key markets this mid-range FPGA family was architected for. Embedded customers clearly told us they perceive a lack of adequate compute in embedded processors, see a big need to fill security gaps, and want to add AI into their next generation systems. Agilex™ 5 devices can address all these concerns. Coming back to our initial topic, AI: GPUs are certainly a popular choice for AI training, but power consumption of GPUs for AI inferencing may be too high for intelligent edge or embedded applications. Instead of adding a separate GPU/AI semiconductor device to an embedded system (resulting in higher cost, more power, more thermal, etc.), why not add the AI function into an FPGA already planned to be used in embedded/edge equipment? For decades, FPGAs have been used in embedded/edge and communication systems for real-time control, IO connectivity, or image/data processing. The estimates on Agilex™ 5 device AI performance look good compared to equivalent class competitors. Because the FPGAs new DSP/tensor is implemented in a fine-grained architecture, it provides the FPGA designer the ability to tune for higher performance or lower power consumption, using the minimum amount of FPGA resources for the desired algorithm. Agilex™ 5 devices – AI key figures of merit: Tensor neural acceleration performance: Up to 26 / 56 TOPS ² Better performance per power efficiency versus embedded market inference GPUs. 1.7x higher frames per second per watt ³ Better raw performance versus other AI targeted FPGAs. 69% higher frames per second ⁴ There are many great reasons to look at this new family of FPGAs. If you are an architect, AI developer, or FPGA designer for embedded systems, don’t wait. As Mark Twain famously said, “The secret of getting ahead is getting started.” Don’t believe the marketing hype, try out your ideas in actual hardware, to see what is ‘possible’. Agilex™ 5 SoC FPGAs are just the latest phase in our DSP/AI journey. Altera, accelerating innovators. Come visit us at Embedded World 2024: Altera booth Hall 5, 5-135 and 5-136. Footnotes: Performance per watt: https://edc.intel.com/content/www/us/en/products/performance/benchmarks/agilex-fpga/ Theoretical peak INT8 calculations for the largest density Agilex 5 E-Series or D-Series devices. 1.7x higher frames per second per watt vs. Nvidia Jetson-class GPUs (AGX Orin) 69% higher frames per second vs. AMD/Xilinx Versal AI devices (VE2302)
26 days ago1like