.png)
Infrastructure-in-Motion™
Designed for Efficiency. Engineered for Scale.
TrndX delivers purpose-built, adaptive cloud for next-gen AI/ML infrastructure stack at SCALE.
Cloud Infrastructure - Industry Insights
We’re at an inflection point cost, optimization and adaptive
infrastructure are the new imperatives.
AI Evolution
AI/ML workloads are rapidly outgrowing traditional cloud infrastructure, creating unprecedented demand and critical bottlenecks.
Distributed Computing
Massive model sizes (LLMs, GenAI) require distributed compute, and parallel xCCL collectives, with consistent bi-sectional bandwidth for peer-2-peer communications.
Access Gap
Static configurations in both intra and inter-rack, limits the self-serve access to GPUs, thereby causing resource fragmentation, which reduces the effective utilization of deployed hardware.
Low Latency Interconnects
Training LLMs requires tens of thousands of GPUs spread throughout to act as one super-computer, which demands needs for low-latency interconnects.
Unveiling the new paradigm in cloud services
TrndX Adaptive Cloud
Get peak performance and flexibility without the technical complexity
Explore our AI/ML-ready infrastructure solutions-purpose built for training, inference, and intelligent agents.
Built-in Infrastructure Slicing
Agentic Low Code Provisioning
Intelligent Workload Routing
Use case Aware Compute
Resources Auto-Optimization
End-to-End Observability & Monitoring
Purpose-Built, Future-Ready
We provide cutting-edge compute power tailored for accelerated workloads, with unmatched flexibility through advanced architecture, delivering better ROI.
Parallelism by Design
Built-in application-tuned topologies for AI workloads - with consistent bisectional bandwidth across cluster.
Auto-healing
Infrastructure featuring native Auto-healing ensures node reliability during large-scale model training and DNN workloads.
Modularity
Supports variety of models by dynamically adjusting to the number of nodes and systems needed to do the job.
Air-Gapped Security
Infrastructure that ensures enhanced Security with implicit Air-Gapped topologies.
Seamless Elasticity
Dynamically allocates resources based on real-time demand for optimizing effective cost.
Observability & Control
Gain deep insights on infra usage to enhance efficiency and manage costs intelligently.
Parallelism by Design
Built-in application-tuned topologies for AI workloads - with consistent bisectional bandwidth across cluster.
Auto-healing
Infrastructure featuring native Auto-healing ensures node reliability during large-scale model training and DNN workloads.
Modularity
Supports variety of models by dynamically adjusting to the number of nodes and systems needed to do the job.
Air-Gapped Security
Infrastructure that ensures enhanced Security with implicit Air-Gapped topologies.
Seamless Elasticity
Dynamically allocates resources based on real-time demand for optimizing effective cost.
Observability & Control
Gain deep insights on infra usage to enhance efficiency and manage costs intelligently.
Who We Serve
CTOs/chief scientists/model architects/platform teams, on forefront of bringing innovations, and looking for an unrestricted and adaptive cloud infrastructure.
AI Model Companies
Scalable workloads with cost-effective, high-performance GPU clusters.
-
Optimizations in data pipeline
-
Applications tuned topologies
-
High cluster utilization, lean spend
-
Full control of hardware/stack
Research Labs
Accelerated LLM training and fine-tuning with massive model and data parallelism.
-
Dynamic reconfigurations of large shared infrastructure
-
Research flexibilities by creating new Isolated topologies
-
Slice engineering of varying size
-
Faster introduction to new technologies
Enterprise Teams
Deploy GPU-intensive applications with enterprise-grade security and compliance.
-
Multi-node parallelism and optimizations in data-pipelines
-
Implicit security
-
Faster introduction to new technologies
-
Full control of hardware/stack
Visit us at SCI ’25 | Dec 10–12, 2025 | Stall B77 | Manipal Institute of Technology (MIT), Bengaluru, India