Optimising edge AI hardware for industrial IoT deployments

Industrial IoT deployments demand edge AI hardware capable of processing complex data on the factory floor.

Internet of Things News
Fastly named a Leader in the 2026 Forrester Wave™ for Edge Development Platforms 🚀
🔹 1 of only 2 Leaders
🔹 Only evaluated vendor with above-average customer feedback
🔹 Highest possible scores across innovation, performance and latency optimization, scaling & 5 more criteria
We see this recognition as a strong reflection of our edge strategy and execution.
Read the report to learn more: https://learn.fastly.com/Forrester-Edge-Development-Platform-WAVE-Report-Q12026
#EdgeComputing #ForresterWave #Cloud

Running air-gapped Kubernetes? Don't miss this #KubeCon talk.

🎙 Declarative Edge Kubernetes: Immutable Clusters with Talos + Zarf
🗓️ Tuesday, March 24 | 17:00 - 17:30
📍 Hall 8 | Room D

If youwant to talk more about air-gapped Kubernetes, come find us at booth 484.

🔗 https://kccnceu2026.sched.com/event/2CW0J/declarative-edge-kubernetes-immutable-clusters-with-talos-+-zarf-brandt-keller-defense-unicorns-merijn-keppel-truefullstaq

#EdgeComputing #AirGapped #TalosLinux #CyberSecurity #CloudNative

KubeCon + CloudNativeCon Europe 2026: Declarative Edge Kubernetes: Immutable C...

View more about this event at KubeCon + CloudNativeCon Europe 2026

AI boom is driving a $445 billion data center buildout, and it is just getting started

https://fed.brid.gy/r/https://nerds.xyz/2026/03/ai-data-center-buildout/

RHEL 10 maintenance support runs until 2035, with Extended Life Support after that. Panasonic Toughbook customers work in 5-year device replacement cycles.
Two full hardware lifecycles on the same OS. No forced platform migrations, no churn.
Techzine covered the Toughbook 56 launch in Stockholm — good write-up on why RHEL certification matters for defense and critical infrastructure.
https://www.techzine.eu/news/devices/139569/red-hat-powers-panasonic-toughbook-56-with-a-rugged-os/
#RHEL #EdgeComputing #OpenSource #Toughbook #Linux
Red Hat powers Panasonic Toughbook 56 with a rugged OS

During the unveiling of the latest Panasonic Toughbook in Stockholm, Windows 11 is running on its display units. However, customers of this rugged series

Techzine Global

The Tiiny AI Pocket Lab: Goodbye Cloud Subscriptions! Hello, 120B Parameters in My Pocket🛠️🦾

I just got my hands on the Tiiny AI Pocket Lab, and it’s officially breaking the “Cloud dependence” loop.

120B Parameters? Locally.
Internet? Not needed.
Privacy? 100%.

While everyone else is paying $20/month to let Big Tech read their prompts, this 300g beast is running Llama 3 and DeepSeek locally at 20+ tokens/sec.

It’s got 80GB of RAM (yes, in a pocket device) and runs at just 65W. Guinness World Record holder for a reason. 🏆

The Tiiny AI Pocket Lab is the first credible challenge to the cloud-only AI model. For enterprises and researchers, the value proposition is simple:

Security: Zero-latency, zero-cloud data processing.
Cost: No per-token fees or monthly subscriptions.
Power: 80GB LPDDR5X RAM in a 300g form factor.
This isn’t just a “mini-PC.” It’s a shift toward Edge Intelligence. When you can run a 120B model locally at 65W, the “setup tax” of AI disappears.

The future isn’t in a data center; it’s in your palm.

Is your organization ready for the shift from Cloud AI to Private AI?

https://www.nbloglinks.com/the-tiiny-ai-pocket-lab-goodbye-cloud-subscriptions-hello-120b-parameters-in-my-pocket/

#LocalAI #OpenSource #TechHardware #PrivacyFirst #TiinyAI #CES2026 #ArtificialIntelligence #EdgeComputing #DataPrivacy #FutureOfWork #TechLeadership #gadget

The Tiiny AI Pocket Lab: Goodbye Cloud Subscriptions! Hello, 120B Parameters in My Pocket🛠️🦾 – nbloglinks

I just got my hands on the Tiiny AI Pocket Lab , and it’s officially breaking the "Cloud dependence" loop. While everyone else is paying $20/month to let Big Te

nbloglinks
Todo el sistema puede alimentarse con un panel solar, batería y WiFi propio, consumiendo muy poca energía, lo que permite usarlo en entornos aislados como cabañas o vehículos. Frente a soluciones comerciales limitadas, ofrece un entorno mucho más potente, gratuito y de código abierto que se instala con un solo comando.
#NomadProject #RAG #Ollama #EdgeComputing
Panasonic TOUGHBOOK is certified on RHEL. I worked with the Panasonic team on the RHEL 10 roadmap, so it's cool to see this Q&A with their TOUGHBOOK PM about the partnership.
Air-gapped, enterprise-secured, containerized edge computing on hardware tested against drops, dust, and water for 30 years. Defense, emergency response, field work.
https://www.redhat.com/en/resources/panasonic-connect-q-and-a
#EdgeComputing #RHEL #OpenSource #Toughbook #Linux
Panasonic Connect and Red Hat partner on RHEL-certified TOUGHBOOK

RHEL-certified TOUGHBOOKs combine unrivalled durability with interoperability and security. Learn why open source is the best fit.

Milliseconds make the difference between winning and losing. 🎮

Discover why Bare Metal at the Edge is the secret to near-zero lag. Learn how dedicated physical power eliminates "noisy neighbors" and delivers the ultra-low latency that modern competitive gaming demands.

Beating the latency war starts here. 🚀

Read More: https://www.ctcservers.com/blogs/bare-metal-edge-gaming/

#Gaming #BareMetal #EdgeComputing #Esports #GameDev #Tech

Apple's M4 Mac Mini appears to be creating a new category: personal AI inference appliances. One test showed it beating dual RTX 3090s by 27% on 32B model inference while using 22x less power. The unified memory architecture rewards single-user workloads over raw compute. Can't handle multi-user serving or fine-tuning, but fills the gap between cloud APIs and dedicated GPU servers for privacy-focused local inference.

#AI #LocalAI #EdgeComputing

https://www.implicator.ai/the-mac-mini-is-not-an-ai-server-its-the-end-of-needing-one/

Mac Mini M4 Outpaces Dual RTX 3090s on LLM Inference

Apple is selling Mac Minis faster than ever. YouTube is full of tutorials calling it a cheap AI server. The hardware community says those buyers are delusional. Both sides are wrong. One homelab builder spent a year assembling a dual RTX 3090 server, then watched a $599 Mac Mini beat it by 27% on th

Implicator.ai