Fabric telemetry · simulated Nodes online 640 Utilisation 91.4% Fabric traffic 3.2 TB/s

Infrastructure-in-Motion

The adaptive cloud for AI at scale.

Reconfigurable, rack-scale infrastructure for teams that need bare-metal GPU performance, sovereign control and the freedom to reshape their cluster in real time.

66%lower software TCO by removing proprietary licensing
Bare-metalGPU performance with no virtualisation tax
Sovereignby design, for regulated industries

AI infrastructure was built rigid. Your models are not. TrndX turns racks into liquid: compute, acceleration, storage and networking recomposed in real time, on your premises, under your control.

01/ 04   THE FABRIC

Break the box.

Compute, accelerators, storage and networking stop being trapped inside fixed servers. Each becomes a pool you can address on its own.

  • Resource pools4
  • Stranded capacity→ 0%

Compose any node.

Describe the machine a job needs. UniFlex assembles it from the pools on demand, bare-metal, with no hypervisor between your code and the silicon.

  • Composed nodes10
  • Virtualisation overheadnone

Slice it, live.

Training, inference and fine-tuning share the same racks. Slices resize as demand moves, without a redeploy and without idle silicon.

  • Training40%
  • Inference30%
  • Fine-tuning20%
  • Spare10%

Fabric to hyperscale.

Dynamically reconfigurable interconnects carry the same model from a single rack to a full cluster, and to the hyperscaler tier next.

  • ScopeRack → cluster
  • Control planeOne

Products

Three products. One adaptive fabric.

From the software that unifies your stack, to the open hardware platform it runs on, to the interconnect that stretches it across a cluster.

SCROLL
Compute
Acceleration
Storage
Networking
Management
Available01 / 03

TrndX UniFlex™

An on-premise unified software platform that manages compute, acceleration, storage, networking and management as one system.

  • Runs traditional applications and GPU-accelerated workloads side by side
  • Disaggregated resource pooling across the rack
  • Real-time workload slicing and built-in elasticity
Available02 / 03

Specialized Data Center

An open platform for AI compute, built for the engineers, DevOps teams and AI professionals who run it.

  • Rack-scale, reconfigurable hardware you control
  • Sovereign and secure design for regulated industries
  • Open by default, no proprietary licensing lock-in
In development03 / 03

Hyperscaler Unified Fabric

Dynamically reconfigurable interconnects at cluster scale, so the fabric reshapes itself around the job instead of the other way round.

  • Cluster-scale topology that changes in real time
  • Built for cloud and hyperscale providers
  • One control plane from rack to cluster

Playground / Workload slicing

Reshape the cluster with your hands.

Ninety-six accelerators, three workloads. Drag a slice, hit burst, or let it run. The fabric re-slices instantly, and nothing sits idle.

Illustration of real-time workload slicing. Figures are simulated and do not represent measured TrndX performance.

Allocated90%Pooled spare10%Slices3

Savings / Software TCO

Stop paying rent on your own silicon.

TrndX removes proprietary software licensing from the stack, which lowers software TCO by 66%. Put in your own numbers.

Uses TrndX's published 66% lower software TCO figure applied to the inputs you enter. Your actual result depends on your current stack and contracts.

Estimated software saving
$0
Proprietary software stack$0
With TrndX$0

Playground / Talk to the fabric

Describe the machine. Get the machine.

A simulated shell that shows the composition model. Type a command or pick one below.

Try these

trndx-shell · simulated

Company / Sovereign by design

Your data. Your racks. Your rules.

Regulated industries cannot hand their models to someone else's cloud. TrndX runs on your premises, with orchestration and security designed for sovereignty from the first line.

BFSIHealthcareGovernmentResearch
NashuaUnited States
HyderabadIndia

Illustration

Contact

Build on the fabric.

Tell us about the workloads you run and the racks you own. We will show you what a composed cluster looks like in your environment.

Request access
Or write to us hello@trndx.ai
  • NashuaUnited States
  • HyderabadIndia