MS Global Growth Systems

Built for accelerated computing

Designed for GPU-accelerated workloads.

MS Global Growth is built with modern accelerated computing in mind. Our architecture is prepared for NVIDIA-based AI infrastructure, and our serving layer follows the containerised inference microservice pattern used across the accelerated computing ecosystem.

Discuss your workloadsInfrastructure layers
  1. Enterprise ApplicationsL01

    Portals, operator consoles, embedded product features.

  2. MSG IntelligenceL02

    Routing, policy, evaluation, insight generation.

  3. AI ModelsL03

    Training, fine-tuning, retrieval and inference endpoints.

  4. GPU InfrastructureL04

    Accelerator pools, CUDA runtimes, container scheduling.

  5. High-Performance ComputingL05

    Interconnect, parallel storage, scheduling fabric.

From enterprise applications down to high-performance computing. Each boundary is an API, so components can be replaced without re-platforming.

Position

Independent by design

MS Global Growth is an independent company. We are not an official NVIDIA partner, we hold no certification from NVIDIA or any cloud provider, and we do not resell their products. We build architecture prepared for NVIDIA-based AI infrastructure and other accelerated computing platforms.

Workload classes we plan for

  • AI training and fine-tuning on multi-GPU nodes
  • Low-latency online inference behind a gateway
  • High-throughput batch inference over document estates
  • Vector search and retrieval-grounded generation
  • Simulation and optimisation workloads

Stack

Standard technology, engineered together

We favour widely supported, well-documented components — and structure the architecture so future integrations with NVIDIA technologies, cloud providers, AI models, enterprise APIs and data platforms are additive.

Accelerated computing

  • NVIDIA GPUs
  • CUDA runtimes
  • Inference microservices (NIM-style)
  • Enterprise AI software stacks
  • Triton Inference Server
  • vLLM

Cloud & platform

  • Kubernetes
  • Terraform / OpenTofu
  • Argo CD
  • Cilium
  • Vault
  • Prometheus + Grafana

Data

  • Apache Spark
  • Kafka
  • Apache Iceberg
  • dbt
  • Airflow
  • DuckDB

AI & ML

  • PyTorch
  • MLflow
  • pgvector
  • LangGraph
  • Ray
  • ONNX Runtime

Automation

  • Temporal
  • Event-driven connectors
  • OpenAPI integrations
  • MSG Intelligence policies

Application

  • TypeScript
  • React
  • Node
  • PostgreSQL
  • gRPC
  • OpenTelemetry