Akamai pitches Functions as edge-native serverless
The November 10 post frames Akamai Functions as a cheaper alternative to centralized serverless compute.
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The November 10 post frames Akamai Functions as a cheaper alternative to centralized serverless compute.
The post also says Akamai Agent Sandbox is coming to Spin, but the supplied body is cut off.
4-bit quantization retains 98.6% answer quality while reducing memory by 49%, running in 0.12s for first token on edge devices.

The 120-billion-parameter Super VL and 74-billion-parameter Bolt model are available now; Bolt E4B follows later this month.
The best single attempt scored 64.5% Correct@1 and 25.5% Fast@1.0; LEKA reached 43.5% Fast@1.0.
SETAREH uses Haar-wavelet sparsification to approximate repeated inner products with fewer stored pairs.
EdgeWise delegates only key agent steps to the cloud, cutting inference cost by up to 62%.
Akamai describes using edge Functions to bill AI agents that consume publishers' digital resources.
GCT auto-encoder reports 0.908 accuracy detecting IoT network intrusions from edge data.
Researchers propose a trust-aware federated hybrid IDS that detects edge attacks without sharing raw telemetry.
Jev decision models cut median edge-orchestration latency 23-65% versus the fastest LLM on 8,280 requests.

Dark Reading offers a step-by-step guide to building a SASE framework for edge security.

A brief Dark Reading piece argues SASE combines network and security controls in one cloud service.
MILER achieves zero-shot sim-to-real reinforcement learning for autonomous driving, completing 17.3 km on a test track without human intervention.
CISA's ABB advisory covers CVE-2026-31431, a public Linux kernel flaw letting local users or compromised containers gain root on Ability Edgenius gateways.
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