The GΞLIX 1 is built on a 5-nanometer process and integrates a 20-core Arm CPU, multicore NPU, and high-speed unified memory architecture. This hardware configuration is specifically tuned for large model inference, delivering 273 GB/s of memory bandwidth. In company benchmarks, the chip achieved a prefill rate of 1416.8 tokens per second using a Gemma 26B configuration, a performance metric Acrab claims is 7.5 times faster than the Mac Mini M4 Pro.
In section Releases
Acrab Launches GΞLIX 1 Chip to Bring 100B-Parameter AI to Local Devices
Singapore-based startup Acrab has unveiled its first-generation edge AI system-on-chip, the GΞLIX 1, alongside the Agent Box, a standalone hardware unit. The system is engineered to run massive 100-billion-parameter AI models locally, shifting the burden of agentic intelligence away from expensive and latency-heavy cloud infrastructure.
Dr. Ken Phua, CEO of Acrab, emphasizes that the shift from generative AI to agentic AI requires local processing to ensure privacy and low-latency interaction. By hosting persistent memory and orchestration layers on the device, the Agent Box aims to function as an always-on assistant that grows more customized as it accumulates user context. The company intends to license this full-stack platform, including the silicon and software runtime, to manufacturers of smart vehicles, industrial robots, and AI-enabled PCs. This strategy positions Acrab as an infrastructure provider, attempting to standardize how edge devices handle complex, goal-oriented tasks without relying on recurring cloud token fees.
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