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Cyclone 10 GX AS x4 Configuration Compatibility with Infineon S25FS512S (Custom Flash Definition)
We are trying to use the Infineon S25FS512S QSPI NOR Flash with Cyclone 10 GX in Active Serial x4 (AS x4) configuration by creating a Custom Flash Definition based on AN229767. JTAG programming completes successfully, but FPGA configuration fails in AS x4 mode. We have performed extensive debugging and would like to understand whether this is a supported use case or if there are any known limitations. Observations Flash Programming JTAG programming completes successfully. Flash verification completes successfully. Configuration Behavior Active Serial x1 configuration works correctly. Active Serial x4 configuration fails. The FPGA successfully issues the RDID (0x9F) command. The FPGA then attempts to read the Boot Information from address 0x00000000. Logic Analyzer Observation During AS x4 configuration, the FPGA issues the EBh (Quad I/O Read) command. According to the Infineon S25FS512S datasheet, the expected transaction is: EBh → 4-byte Address → Mode Byte (8 bits) → Dummy Cycles → Data However, the captured waveform shows: EBh → 4-byte Address → Dummy Cycles → Data No Mode Byte is observed between the address and dummy cycles. Based on the S25FS512S command protocol, this could cause the flash to interpret the transaction differently and return misaligned data. We would like Altera to confirm whether this behavior is expected from the Cyclone 10 GX configuration controller. Additional Information We reviewed AN229767, but could not find any mechanism in the Custom Flash Definition to configure or insert the Mode Byte required by the EBh command. We also observed that the Custom Flash Definition supports Read Register commands only for fixed register opcodes and does not appear to support RDAR (0x65) with a register address. Questions Does the Cyclone 10 GX configuration controller support transmitting the mandatory Mode Byte required by the EBh (Quad I/O Read) command? If not, is this a known limitation of the Cyclone 10 GX configuration controller or Quartus Programmer? Is there any supported method to modify the Quad I/O Read command sequence in the Custom Flash Definition? Has Altera validated any Custom Flash Definition for the S25FS512S that can be shared as a reference? Environment FPGA: Cyclone 10 GX Flash: Infineon S25FS512S Configuration Mode: Active Serial x1 (working), Active Serial x4 (failing) Programming Method: Quartus Programmer using a Custom Flash Definition based on AN229767 We would appreciate any guidance, clarification, or a reference implementation for using the S25FS512S with Cyclone 10 GX in Active Serial x4 mode.383Views0likes8Comments10CL040YF484 Programming fails
1st Vendor Batch (Date Code: 2525): - First Test (3 FPGAs): - Card 1: ISP and JTAG programming successful; functioning correctly. - Card 2: Programmed in ISP mode, but fails to execute and returns a JTAG error. Replacing the FPGA on this board with another one resulted in the same issue. - Second Test (3 FPGAs): - Cards 3 & 4: ISP and JTAG programming successful; functioning correctly. - Card 5: ISP and JTAG programming successful, but the device is not functioning correctly, and most pins are not working as required. - Mouser Batch (Date Code: 2619): - Third Test (2 FPGAs): - Card 6: ISP and JTAG programming successful, but the device fails to function properly, with most pins not meeting requirements. - Card 7: ISP programming successful, but returns a JTAG error and fails to execute. Based on these outcomes, could you please help us identify where the problem lies?418Views0likes17CommentsLTPI IP - any plan to support OCP LTPI Revision 1.2? (MAX 10)
Hi, We are planning to purchase the Altera LTPI IP, targeting MAX 10 (Quartus Prime Standard Edition). The LTPI IP User Guide states the IP is compliant with OCP DC-SCM 2.1 LTPI revision 1.1, version 1.1 specifications. Meanwhile the OCP LTPI reference implementation has moved to Revision 1.2 (release 1.20, 12 Dec 2025), which adds extended CRC/error handling with a new Frame Lost error, renames LTPI Version to LTPI Revision (CSR packages regenerated), and changes the Link Speed timeout and Link Lost conditions. Is there a plan to update the LTPI IP to Revision 1.2? Thanks.74Views0likes5CommentsMAX10 for 5V LVTTL interface
I want to understand from the learned user that can I use MAX10 in below mentioned scenario... MAX10 is configured as OD 3.3 LVTTL logic, with PCI clamp diode enabled. The IO pins are configured as bidirectional. The interface which is talking to MAX10 is a 5V LVTTL interface, but I have made sure that VIH, VOH, VIL and VOL are compatible. The VCCIO power pin is also supplied with 3.3 +/-1% voltage so that max clamp voltage at IO pad when PCI diode is active can reach max of 4.06V. I have also understood that during POR and configuration period HOT Socketing circuitry shall function to save IO pads on getting full 5V swing. Also, absolute max ratings recommend that if IO are getting max of 4.12V as 100% duty cycle, they can still continue to operate for more than 11 years. What I want to get confirm if this kind of operation has any drawbacks which I didn't considered, as Altera is nowhere saying the device can operate at 5V in any of their used case. This being unconventional approach I don't have any scenario to prove the risk-free working. Or if any one of you can point me to correct reference design /documentNios 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.105Views0likes5CommentsWhy does Nios® V/g experience data corruption when using DTCM?
Description Due to a problem in Quartus® Prime software, data corruption may occur when running a Nios® V/g processor application that interacts with a Tightly-Coupled Memory (TCM). This happens because of a RTL bug in the load-store unit. This problem is affecting Nios® V/g processor in, Quartus® Prime Pro Edition release 25.3.1 and earlier Quartus® Prime Standard Edition release 25.1 and earlier When Nios® V/g processor executes a non-TCM load (i.e. Load from On-Chip Memory or memory-mapped CSR) followed by a Data TCM load, the latter corrupts the former. This causes the non-TCM load to receive incorrect load data. For example, lw rd1,0(non-TCM) lw rd2,0(TCM) Expectation Actual Failure rd1 = load data from address “non-TCM” rd1 = load data from address “TCM” rd2 = load data from address “TCM“ rd2 = load data from address “TCM“ Resolution This problem is fixed in Quartus® Prime Pro Edition 26.1 and is scheduled to be resolved in a future Quartus® Prime Standard Edition release. Additional Information A patch is available to fix this problem. Quartus® Prime Standard Edition Software v25.1 Patch 0.01 Please contact Altera Support for additional support.Can the F-Tile FGT PMA lane in neutral state of Dynamic Reconfiguration be preserved?
Description Yes, the F-Tile FGT PMA lane can be preserved even after moving to neutral state from normal state by Dynamic Reconfiguration. Resolution While the F-Tile FGT PMA lanes are in the neutral state, users need to keep the TX PMA and RX PMA of the unused lanes in reset until those lanes are reactivated and placed back into operating mode in the future. The performance of those lanes will not be degraded after they are reactivated.Why does the Quartus® Prime Pro Edition Software report that no IOPLL is available when placing the Low Latency E-Tile 40G Ethernet FPGA IP in an HPS shared GPIO Bank?
Description Due to a clocking limitation of HPS Shared GPIO Bank, the Low Latency E-Tile 40G Ethernet FPGA IP cannot be placed in an HPS Shared GPIO Bank when a design targets Agilex® 7 FPGA F-Series. If the IP placement requires its IOPLLs to use an HPS Shared GPIO Bank, the fitter may report that no IOPLL IP is available and compilation may fail during the fitter stage. The Low Latency E-Tile 40G Ethernet FPGA IP uses IOPLL IPs configured in Normal Compensation mode. However, the IOPLL resources in an HPS Shared GPIO Bank support Direct Compensation mode only. Consequently, the fitter cannot legally place the IOPLLs in the Low Latency E-tile 40G Ethernet FPGA IP in an HPS Shared GPIO Bank. Resolution To avoid this problem, place the Low Latency E-Tile 40G Ethernet FPGA IP in a supported non-HPS Shared GPIO Bank.Why does the dynamic reconfiguration simulation of Phylite IP design fail in the Questa* – Altera® FPGA Edition ?
Description Due to a problem in the External Memory Interfaces (EMIF) IP, simulation running in the Questa* – Altera® FPGA Edition might fail when you set the use dynamic reconfiguration on Agilex® 7M R0 devices. Resolution To work around this problem, change the device selection to a non-R0 OPN during simulation.
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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.
28 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.
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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
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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.
1 month 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)
1 month ago1like