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Filtering by tag: "edge computing"
Clear tag filterNVIDIA’s Upcoming N1X ARM Processor
Explore the rise of custom silicon, NVIDIA’s N1X/N1 chips, and the impact on gaming, AI, and competition with Intel and AMD.
Read MoreAI In Embedded Systems – From Cloud to Chip
Learn why cloud-based AI struggles in embedded and edge systems, and how running AI directly on chips overcomes latency, bandwidth, power, and privacy challenges. Discover how edge AI enables real-time, deterministic, and energy-efficient intelligence while redefining the role of the cloud.
Read Morecongatec Brings Railway-Grade Reliability to Compact COM Express Designs
congatec qualifies its conga-TC675r COM Express Compact module to IEC 60068 and IEC 61373 standards, delivering extended-temperature reliability for railway, industrial, and off-road environments.
Read MoreDigi IX25 Brings 5G, Edge Compute, and eSIM to Industrial Networking
Digi International’s IX25 is a rugged industrial router platform combining LTE, 5G RedCap, and 5G eMBB with four Ethernet ports, Linux container support, active eSIM provisioning, and centralized fleet management for critical infrastructure deployments.
Read MoreNXP i.MX 93W Combines Edge AI Compute With Tri-Radio
NXP introduces the i.MX 93W applications processor combining a Cortex-A55 CPU, Ethos NPU delivering up to 1.8 eTOPS, and integrated Wi-Fi 6, Bluetooth LE, and 802.15.4 connectivity in a single SoC for edge AI systems.
Read MoreNVIDIA to support RISC-V – Another step towards open-source computing
As RISC-V continues to become an ever more important open-source CPU technology, NVIDIA just announced that it is now actively supporting the architecture. What challenges has RISC-V faced, what exactly was announced, and why is this announcement so important for open-source computing?
Read MoreKioxia Pushes Flash Memory to 5TB and 64 GB/s for Edge AI
Kioxia has built a 5TB flash module with 64 GB/s bandwidth and <40 W power, aimed at AI and edge computing in 5G/6G networks.
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