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Why does lock acquisition fail after dynamic reconfiguration on certain Agilex® 5 FPGA devices?
Description This problem is caused by an error in the Quartus® Post-fit MIF generation flow. Under a specific condition where Dynamic Reconfiguration (DR) is implemented in a Transceiver Bank located on the same side as a downbonded Transceiver Bank, the post-fit flow may generate an incorrect MIF file. This problem is impacted by OPN densities 043, 052, and 065 in the B23A package, and OPN density 160 in the B37A package. Resolution Patches are available to fix this problem for the Quartus Prime Pro Edition Software version 26.1.1 versions. Download and install patch from the following links: Quartus Prime Pro Edition Software v26.1.1 Patch 1.01 This problem is scheduled to be fixed in a future release of the Quartus Prime Pro Edition Software.Tranceiver Enhanced PCS Basic mode questions
Hello Guys, We used Arria GX and Straitx IV GX devices before, now we switch to use Cyclone 10 GX FPGA. I have several simple questions about XCVR's control port/signal. Why I can't see rx_control and tx_control ports when I make "Enable simplified data interface" ON? In basic or custom mode, 1 bit control signal corresponding 8-bit parallel data bits. I read XCVR user guide, it seems that only LSB 2-bits of the control bus will be used to recognize/indicate data word or control word?253Views0likes16CommentsFinding .qdz Files & Help w Installer
Hello! I am running a Windows VM for my dev enviroment and for some reason the Quartus Installer will launch but will not run. As such, to install the software, I had to use the .tar file, which does not contain the necessary device extensions. I have been running in circles trying to find a directory with .qdz files for devices. Specificallyy, I am looking for the .qdz file for device support for the MAX 10 FPGA. If anyone has the file or can lead me to how to find it, please let me know! And if anyone has tips on how to make the launcher run, I would appreciate it!4Views0likes0CommentsRun-time errors using EMIF in Agilex 5 NIOS-V design
Hello, I am using Quartus Prime Pro 26.1.1, with the Agilex 5 development board (AXE5-Eagle). I am trying to run the NIOS-V code from the LPDDR4 memory, using JTAG to download/debug. The reset and exception vectors are set to the On-Chip RAM. I used the sample design provided for that board - AXE5 Eagle mipi_hdmi_mira220 and removed everything related to MIPI and HDMI. Added JTAG Uart IP. The resulting sample design is attached (mipi_hdmi_mira220.zip). In the software/ directory you can also see the FreeRTOS BSP I used. I created a simple FreeRTOS application that just prints some string to stdout. What I am seeing is - the RISC-V processor throws exceptions - one of the following - Misaligned Read Address, Misaligned Write Address or Invalid Instruction. This happens in alt_load_section(). If I execute step-by-step, no exception is thrown. But if I just run the application it fails. Is there something else that need to be added/updated/changed, in order to be able and execute code from LPDDR4 using the EMIF IP? I could not find any existing sample design, using NIOS-V and EMIF, with code execution from EMIF. Thank you, D.341Views0likes5CommentsNios V/g load-writeback hazard
Summary On a NiosV/g core, a long-latency load from an on-chip memory immediately followed by a short-latency load from the core's own TCM returns the TCM load's data in both destination registers. The first load's writeback is lost. lw a0, 0(t0) # t0 -> On-chip memory lw a1, 0(t1) # t1 -> DTCM (core-local) # a0 and a1 both end up holding the DTCM value Inserting a single instruction between the two loads is enough to avoid it. Two on-chip memory loads back to back are fine, and so is the reverse order (TCM load first, then the on-chip memory load). Minimal reproducer Assembly: _start: lui t0, 0x40 # t0 = 0x00040000 on-chip memory ("input memory") lui t1, 0x10 # t1 = 0x00010000 DTCM (core-local) lui t2, 0xe0 # t2 = 0x000e0000 2nd on-chip memory ("output memory") li a2, 0x47414c47 # a value distinct from the DTCM sentinel sw a2, 0(t0) # ...store it into input_mem nop # let the store retire. The hazard is about two nop # adjacent *loads*; keep everything else well nop # clear of the pair below so the test stays nop # unambiguous. lw a0, 0(t0) # long-latency load: on-chip memory (input memory) lw a1, 0(t1) # short-latency load: DTCM, immediately after sw a0, 0(t2) # output_memory[0] = result of the AXI load sw a1, 4(t2) # output_memory[1] = result of the DTCM load spin: j spin System details NiosV/g data_manager (AXI master) is directly connected to on-chip memories and pipeline stages are limited to 3 in Platform Designer.67Views0likes3CommentsIO Standard for GTS Transceiver REFCLK
Hi, We use on the Agilex 5 and 3 Transceivers with AC coupling. Agilex 5 requires CML, HCSL in Agilex 5 datasheet. However, Agilex 5 Premium kit uses LVDS Clock for some Transceiver REFCLK. Is it possible to use LVDS as REFCLK for XCVRs when we use with AC Coupling ?Solved212Views0likes2CommentsIntermittent DE10-Standard error starting GDB server with quartus_hps
Hello, We have 15 DE10-Standard boards being used with Quartus 18.1 and the associated version of Altera Monitor Program on Ubuntu 24.04 (amd64). Generally the boards work without issue, however in the Monitor Program we occasionally see 'Download System - Partial Success: The system has successfully downloaded onto the board, but HPS components could not be configured.' Power cycling the board doesn't seem to resolve the error, nor does swapping the board to a different desktop. After a number of tries the error will go away. We haven't been able to isolate an exact pattern but issue doesn't appear random either, it will keep showing up for certain boards, and then go away, then show up on other boards. Another symptom we see is that when a board downloads the systems successfully, during the final step of the process the JTAG TX LED on the board appears to turn solid green. On the boards that hang and fail, the same LED flashes rapidly while the process hangs. The monitor program logs show the following commands are run before the error appears: $ /home/$USER/DE10/monitorprogramtutorial/ $ make clean # The board name in quotes below is variable and appears to be unique to each board or connection $ /opt/intelFPGA_lite/18.1/quartus/bin64/quartus_pgm -c "DE-SoC [1-10]" --auto $ quartus_pgm -c "DE-SoC [1-10]" -m jtag -o "P;/opt/intelFPGA_lite/18.1/University_Program/Computer_Systems/DE10-Standard/DE10-Standard_Computer/verilog/DE10_Standard_Computer.sof@2" $ quartus_hps --cable="DE-SoC [1-10]" -o GDBSERVER --gdbport0=3212 --preloader=/opt/intelFPGA_lite/18.1/University_Program/Monitor_Program/arm_tools/u-boot-spl.de10-standard.srec --preloaderaddr=0xffff14f0 Running these commands manually results in the final command either: 1. Starting a GDB server very quickly: >>Resetting HPS. >>Downloading preloader....... >>Program loaded. PC set to program entry (0xFFFF0000) >>Setting vector base address register to: 0xffff0000 >>Running preloader.. >>Preloader successfully run. Starting GDB Server. Listening on port 3212 for connection from GDB 2. Hanging for a long time when 'Downloading preloader.......' and then failing at the 'Running preloader...................' stage and hanging indefinitely. Ending the process with Ctrl+C shows: Error: Encounter JTAG AJI error while accessing HPS Error: send_access_data() error while accessing DP Register Error: Fail to select Access Port Error: Fail to access Bank 0x0 of Port 1 Error: Fail to READ ACCESS to the Physical Reg Error: AJI failed to send data Error: Encounter JTAG AJI error while accessing HPS Error: send_access_data() error while accessing DP Register Error: Fail to select Access Port Error: Fail to access Bank 0x0 of Port 1 Error: Fail to READ ACCESS to the Physical Reg Error: Fail to enable DEBUG feature Error: AJI failed to send data Error: Encounter JTAG AJI error while accessing HPS Error: send_access_data() error while accessing DP Register Error: Fail to select Access Port Error: Fail to access Bank 0x0 of Port 1 Error: Fail to READ ACCESS to the Physical Reg Error: Failed to load program. Error: AJI failed to send data Error: Encounter JTAG AJI error while accessing HPS Error: send_access_data() error while accessing DP Register Error: Encounter JTAG AJI error while reading Control/Status Register Error: AJI failed to send data Error: Encounter JTAG AJI error while accessing HPS Error: send_access_data() error while accessing DP Register Error: Fail to select Access Port Error: Fail to access Bank 0x0 of Port 0 Error: Fail to READ ACCESS to the Physical Reg Error: Fail to write to MPU Module Reset Register Error: Engine failed to set down the hardware Error: Quartus Prime Programmer was unsuccessful. 0 errors, 0 warnings Error: Peak virtual memory: 187 megabytes Error: Processing ended: Tue Aug 11 11:44:38 2026 Error: Elapsed time: 00:05:05 Error: Total CPU time (on all processors): 00:00:01 Any thoughts or suggestions are greatly appreciated.108Views0likes5CommentsAgilex 3 A3CZ100BM16AE7S – 3.3 V HVIO input always reads HIGH
Hi, I am bringing up a new board using an Agilex 3 A3CZ100BM16AE7S and I am seeing a strange issue with the HVIO input path. I am using Quartus Prime Pro 25.3.1. The FPGA configures successfully through JTAG, FPGA logic is running, HVIO outputs work correctly, and inputs on non-HVIO banks also work correctly. However, the 3.3 V HVIO inputs always appear to be read as logic HIGH. My current simple test uses: Device: A3CZ100BM16AE7S Quartus Prime Pro: 25.3.1 TP1: AF27 HVIO Bank: 5B Direction: Input I/O standard: 3.3-V LVCMOS VCCIO_HVIO = 3.3 V VCCPT_HVIO = 1.8 V VCC/VCCP = 0.75 V The FPGA power rails have been checked and appear correct. A very simple test was first used: TP1 is 3.3V HVIO pin and TP13 is non-HVIO pin TP13 <= TP1; When TP1 is physically LOW, TP13 still indicates that TP1 is HIGH. I also tested: TP13 <= not TP1; With TP1 physically at 0 V, TP13 becomes LOW, which again indicates that the FPGA internally sees TP1 as logic 1. I also tested the programmable weak pull-up/down on AF27 (HVIO pin). With weak pull-up enabled: TP1 ≈ 3.3 V (with the multi-meter) With weak pull-down enabled: TP1 ≈ 0 V (with the multi-meter) The weak pull-up/down therefore physically changes the voltage at the FPGA pin correctly. I then enabled the internal weak pull-up and added an external 1 kΩ resistor from TP1 to GND. The measured TP1 voltage becomes approximately: TP1 ≈ 150 mV which is consistent with the internal ~20 kΩ pull-up and external 1 kΩ pull-down. However, the FPGA still reads the input as HIGH. Has anyone seen a similar issue with Agilex 3 HVIO input buffers, particularly with the A3CZ100BM16A device ? Is there any additional HVIO input configuration, device setting, programming option, or known Quartus issue that I may be missing? As far as I understand, a standard 3.3-V LVCMOS input on an HVIO bank should work directly without requiring any special input-enable configuration. Any suggestions for further tests would be greatly appreciated. Thanks. Paul22Views0likes0CommentsHSIO Differential Clock Output VOD and VOCM
Dear Intel Support Team, We are using the Agilex 5 FPGA A5ED065BB32AI4S in our design. We plan to use an HSIO differential clock output from the FPGA and connect this output to the differential clock input of an external PLL/clock device. The FPGA HSIO supply for this interface is currently 1.2 V. While reviewing the Agilex 5 True Differential Signaling documentation and differential I/O design guidelines, we could not find the complete electrical specifications for the HSIO differential clock output, particularly the following parameters: Differential output voltage (VOD) – minimum, typical, and maximum values. Output common-mode voltage (VOCM) – minimum, typical, and maximum values. Whether these VOD and VOCM values are dependent on the VCCIO/HSIO supply voltage of 1.2 V. Whether the specified VOD/VOCM values are applicable when the HSIO output is configured specifically as a clock output for feeding an external PLL/clock input. Any recommended termination, AC-coupling, or DC-coupling configuration for this application. Please confirm whether there are any restrictions on using the HSIO clock output to directly drive an external differential PLL reference-clock input. Could you please provide the applicable DC and AC electrical specifications or the relevant datasheet/table for the HSIO differential clock output of the A5ED065BB32AI4S? We specifically need the VOD and VOCM values to verify electrical compatibility with the external PLL input. Regards, Jay Krishna435Views0likes2CommentsWhy are setup timing violations reported on the F-Tile Support Logic and Direct PHY paths?
Description Due to a problem in the Quartus® Prime Pro Edition software version 25.1.1, you may observe setup timing violations on clocks associated with F-Tile support logic and Direct PHY paths. The failing path was between Soft Reset Controller (SRC) and Direct PHY (DPHY) logic due to synchronizer problem. Resolution This problem is scheduled to be fixed in a future release of the Quartus Prime Pro Edition software.
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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.
21 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.
26 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
26 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.
26 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)
29 days ago1like