A new AI module runs generative models locally, reducing power use and cloud reliance while handling complex workloads with efficiency. Unigen Expands AI Portfolio with High-Performance On-Prem GenAI Module Unigen has introduced the Amaretti E1.S AI Module, its first hardware solution built specifically for generative AI. The module is designed for on-premise deployment and can…
From left: Dion Leung, Nokia APAC AI and Cloud head; Joseph Sulistyo, Blaize SVP; Benny Sumitro, Datacomm Cloud and IT MD. Credit: DIGITIMES As generative AI demand shifts from centralized cloud training to edge inference, Nokia and AI chip startup Blaize have expanded their partnership in Singapore, unveiling a full-stack solution for hybrid heterogeneous computing…
For the last 18 months, the CISO playbook for generative AI has been relatively simple: Control the browser. Security teams tightened cloud access security broker (CASB) policies, blocked or monitored traffic to well-known AI endpoints, and routed usage through sanctioned gateways. The operating model was clear: If sensitive data leaves the network for an external…
MLPerf results show how new GPUs and system-level design are enabling faster, scalable inference for large language models and emerging generative AI workloads in real deployment environments. AI Inference Performance AMD has reported a major leap in AI inference performance with its latest MLPerf Inference v6.0 results, crossing the 1-million tokens-per-second threshold and signalling growing…
As generative AI continues to advance, its capabilities and application scenarios are rapidly expanding, driving structural changes in computing infrastructure. At AI EXPO Taiwan 2026, HyperAccel Chief Strategy Officer Yongwoong Jung discussed the evolution…
