TurboNext.ai

 

TurboNext.ai is an AI infrastructure company delivering purpose-built LLM inference acceleration for enterprises and cloud service providers running AI at scale. Its flagship TB1 Inference System combines large on-board memory, 100% KV-cache hit rates, and a parallelized software stack to deliver 4–5x throughput gains and up to 3x reduction in cost-per-token — across existing GPU infrastructure, without hardware replacement or application rewrites.

Founded by industry veterans with backgrounds spanning Cisco and multiple successful startup exits, TurboNext.ai operates across the US and Asia with a growing enterprise customer base. Key milestones include winning the IGTC Grand Challenge in the AI Infrastructure category, a collaboration with NCHC, active POCs across Asia, and T1 chip tape-out targeted for Q4 2026.

 

Technology Highlights 

• 100% KV-Cache Hit Rates — Eliminates redundant computation by capturing and reusing attention states across sessions and agent loops.
• Parallelized Software Stack — Continuous batching, intelligent scheduling, and memory-aware optimization maximize GPU utilization at scale.
• Hardware-Agnostic Deployment — Compatible across GPU generations and model architectures with no rewrites or infrastructure replacement required.