Altera

From AI acceleration and advanced RF systems to edge intelligence and quantum computing, the pace of innovation at the edge is accelerating. In the latest edition of Inside Edge, discover how Altera is enabling next-generation intelligent systems with: 🔹 New Agilex® 7 FPGAs and SoCs M-Series package options 🔹 DDR5-6400 memory support 🔹 Dynamic reconfiguration demos 🔹 FPGA AI Suite 2026.1.1 updates 🔹 New datacenter and quantum computing solutions Explore the latest product innovations, technical resources, and upcoming events shaping the future of programmable infrastructure and AI-enabled applications. Read the May edition of Inside Edge.

See how Altera's partner Heronic Technologies is enabling next-generation AI video processing with a real-time 4K AI Super-Resolution on FPGA live demo powered by Altera Agilex® 7 FPGAs. * Upscaling from 540p to 4K HD at 60 frames per second * 80% better quality with less than 250 microseconds of latency This solution showcases how FPGA-based AI can deliver high-performance, low-latency video enhancement for advanced edge and embedded applications, bringing sharper visuals and intelligent processing together in real time. Learn more about the Altera Video Solutions Stack and how Altera is accelerating AI-enabled video innovation: https://lnkd.in/gp9xqDYp

Watch this 400G Ethernet Demo, from Altera's partner iWave, for their Agilex® 7 SoC FPGA-powered SmartNIC, designed for next-generation data centers, cloud infrastructure, AI networking, and high-performance computing applications!

Flexibility is becoming the new competitive advantage in silicon design. As markets evolve faster and product lifecycles shrink, engineering teams are looking beyond traditional ASSPs and exploring FPGA-based platforms to build systems that can adapt, scale, and evolve over time. This is especially relevant for frequently changing functions involving AI and Security. Our latest white paper explores why FPGA-based replacement is emerging as a practical path forward, helping teams accelerate innovation while reducing redesign risk. Read the white paper: https://lnkd.in/ge3g5m-t

Building next-gen systems shouldn’t mean starting from scratch. From OpenRAN-ready radio platforms and hardware-accelerated QUIC to FPGA-powered SmartNIC security and ultra-low-latency FinTech solutions, the latest Altera Partner Newsletter showcases how our ecosystem partners are helping teams accelerate innovation with proven, production-ready solutions. What’s inside this edition: ✅ OpenRAN radio enablement with Hitek Systems & TI RF transceivers ✅ Secure P4-based programmable networking with Pantherun ✅ Aurora IP migration for Agilex platforms with ALSE ✅ Hardware-accelerated QUIC & HTTP/3 protocol IPs from Design Gateway ✅ FPGA-powered Anti-DDoS protection with DYNANIC ✅ Live demos from BittWare, Napatech, iWave, PRO DESIGN & more Explore the latest innovations and see how Altera’s partner ecosystem is enabling faster time-to-market and scalable system design.

Congratulations to our Partner Napatech (https://lnkd.in/gu7wsrnM) for their new revenue stream from a Global Banking and Finance customer with its programmable NT400 SmartNIC (https://lnkd.in/gubwKGp7), powered by Altera's Agilex® 7 FPGA F-Series (https://lnkd.in/gADp4iqc)!

The future of AI isn’t just about models. It’s about how systems perform in the physical world. As AI moves into robotics, industrial systems, and edge environments, a new challenge emerges: Models alone aren’t enough. What matters is: * Real-time responsiveness * Deterministic performance * System-level efficiency We’re seeing a clear shift: Compute-first AI → Dataflow-driven, real-world systems And this is where architectures matter. FPGAs enable a fundamentally different approach, mapping AI workloads directly onto hardware to deliver: ⚡ Low-latency inference ⚡ Predictable performance ⚡ Adaptability & upgradeability at scale This is the foundation for physical AI systems that can sense, think, and act in real time. Explore how Altera is enabling this with FPGA AI Suite software: https://lnkd.in/gYarCAUD ai suite

Heading to IMS 2026? Visit Altera at Booth #20108 to see how Agilex® 5 and Agilex® 9 FPGAs and SoCs are enabling next-generation radar, communications, quantum computing, and AI-driven signal processing systems. As modern aerospace, defense, and satellite applications evolve, real-time performance in SWaP-constrained environments becomes mission-critical. At IMS, we’ll showcase demos including: ⚡ Direction of Arrival (DOA) estimation using neural networks on Agilex® 5 ⚡ MVDR adaptive beamforming implementation on Agilex® 9 MCP devkit From emitter geolocation to interference mitigation, these workloads demand low latency, deterministic performance, and massive compute efficiency at the edge. * Booth #20108 * Meet the Aerospace, Defense & Government Systems team on June 9–10 * Schedule a meeting: https://lnkd.in/g85cKtXF

A year ago, Altera began a new chapter with a clear goal: to become the industry’s leading pure-play FPGA solutions provider.   Over the past year, we have sharpened our focus, accelerated execution, and raised the bar on quality and customer impact.   Our CEO Raghib Hussain shares what’s changed and what’s next.

What if your bottleneck isn’t compute but memory? In today’s AI and data-heavy workloads, performance isn’t just about processing power anymore. It’s about how fast you can move and access data. That’s where Agilex® 7 FPGAs & SoCs M-Series make a difference. Designed for data-intensive performance: 🔹 Integrated HBM2E for massive memory bandwidth 🔹 Up to 116 Gbps transceivers for ultra-fast connectivity 🔹 Built for AI, HPC, and next-gen data center architectures 🔹 Scalable, flexible acceleration where it matters most If you’re still optimizing compute without addressing memory, you’re only solving half the problem. Discover what’s possible: https://lnkd.in/gkA6Xjy7