Infrastructure for
the AI/ML Era
Modern AI/ML workloads demand infrastructure that can scale dynamically and operate efficiently. TrndX rearchitects this through disaggregated resource pooling and unified fabric - enabling its orchestration software to compose, deploy, and manage compute infrastructure with greater flexibility and control.
TrndX UniFlex™ Platform
Unifies compute, storage, acceleration, networking, and management into an all-in-one rack for traditional enterprise applications and HPC workloads.
Learn morePrivate Cloud Software
Deploy, orchestrate, and manage compute, networking, and storage through a unified software layer designed for modern AI/ML environments.
Learn moreCloud Infrastructure
Pool CPU, GPUs, storage, and networking across the data center and allocate them on demand. Break free from fixed server architectures and maximize infrastructure utilization.
Learn moreWhat You Gain
Unified Control of AI Infrastructure
Every GPU, NVMe drive, and network resource managed from one platform - no fragmented dashboards or tooling.
Reduce Hypervisor Licensing Costs
Eliminate proprietary hypervisor and storage licensing overheads with an open, software-defined control plane.
Faster Deployment of GPU Clusters
Software-defined templates and automation consistency significantly reduce cluster bring-up from days to minutes.
Software-Defined Path Reconfiguration
Dynamic topology reconfiguration, at scale - no rewiring, no downtime, no architectural redesign required.
Lower Power Per Bit
Photonic OCS fundamentally reduces the energy cost of high-bandwidth interconnect at data-centre scale.
Deterministic Bandwidth Allocation
Guaranteed, non-blocking bandwidth per circuit - eliminating contention that degrades AI training runs.