GPU Infrastructure
Built for AI & ML
Rooting Clouds AI/ML Cloud delivers GPU orchestration, integrated ML pipelines, and real-time £GBP cost dashboards — purpose-built for data scientists and ML engineers who need speed, scale, and cost transparency.
Built for the Teams Driving AI Forward
Whether you’re experimenting in a notebook or running production inference at scale, Rooting Clouds AI/ML Cloud has the right profile for your workload.
Data Scientists
Spin up Jupyter environments with A100/H100 GPUs in seconds. Explore, iterate, and train models without worrying about infrastructure — then hand off to engineers with one-click pipeline export.
ML Engineers
Orchestrate multi-GPU training runs, manage distributed workloads across GPU clusters, and deploy models to production endpoints — all via CLI, REST API, or Terraform IaC.
Enterprise AI Teams
Govern GPU spend with real-time £GBP cost dashboards, team-level budget controls, private networking, and UK data residency — all backed by an enterprise SLA and a dedicated solutions engineer.
Everything You Need to Train & Deploy
Six production-grade capabilities designed as an integrated platform — not a collection of loosely coupled services.
GPU Orchestration
On-demand and reserved NVIDIA A100 and H100 GPU instances. Single-GPU notebooks to 8-GPU cluster jobs scheduled in seconds. CUDA 12, cuDNN, and NCCL pre-installed. Spot-equivalent preemptible instances for up to 60% cost savings.
ML Pipeline Integration
Native integrations with MLflow, Kubeflow Pipelines, and Apache Airflow. Versioned data pipelines, automated retraining triggers, and model registry built in. Connects to your existing S3-compatible or Azure Blob storage.
£GBP Cost Dashboards
Real-time spend visibility per project, team, and GPU type — all in pounds sterling. Set daily and monthly budget alerts. View utilisation heatmaps to identify idle GPU waste. Export invoices in GBP for UK accounting compliance.
Model Deployment & Serving
Deploy trained models to production inference endpoints with auto-scaling and A/B traffic splitting. Supports ONNX, TensorRT, and raw PyTorch/TF saved models. REST and gRPC inference endpoints with latency SLAs.
Security & Compliance
UK data residency by default. Private VPC networking, end-to-end TLS, and encrypted GPU memory. SOC 2 Type II alignment, GDPR-compliant data handling, and audit logs for all GPU allocations and model deployments.
Container & Environment Management
Pre-built Docker images for PyTorch, TensorFlow, JAX, and HuggingFace — or bring your own container. Persistent environment snapshots. Team-shareable workspace templates for reproducible ML experiments.
The Right GPU for Every Workload
From rapid experimentation on T4s to large-scale LLM training on H100 clusters — Rooting Clouds offers the full NVIDIA stack, billed by the hour in £GBP with no minimum commitment on on-demand instances.
Reserved instances (1-month and 3-month) deliver 30–40% savings over on-demand. Enterprise clusters with InfiniBand interconnect available on request for multi-node distributed training.
- ✓Spin up in under 8 seconds — no queue wait on standard tiers
- ✓CUDA 12, cuDNN 9, NCCL pre-installed on all instances
- ✓Persistent storage volumes attach to any GPU type
| GPU | VRAM | On-Demand | Reserved |
|---|---|---|---|
| NVIDIA T4 | 16 GB GDDR6 | £0.28/hr | £0.19/hr |
| NVIDIA A100 40GB | 40 GB HBM2e | £0.54/hr | £0.38/hr |
| NVIDIA A100 80GB Popular | 80 GB HBM2e | £0.89/hr | £0.62/hr |
| NVIDIA H100 PCIe | 80 GB HBM3 | £1.57/hr | £1.10/hr |
| NVIDIA H100 SXM Best | 80 GB HBM3 | £1.89/hr | £1.32/hr |
| 8× H100 Cluster | 640 GB HBM3 | £14.99/hr | £10.49/hr |
From Raw Data to Production Model
Rooting Clouds wraps your entire ML lifecycle — data ingestion, training, evaluation, and deployment — in a managed pipeline that integrates with the tools your team already uses.
Data Ingestion & Versioning
Connect S3-compatible storage, BigQuery, or Snowflake. DVC-backed dataset versioning for reproducible experiments.
Distributed GPU Training
Multi-GPU and multi-node training with automatic NCCL optimisation. Experiment tracking via MLflow or Weights & Biases.
Evaluation & Model Registry
Automated evaluation harnesses, A/B metric comparison, and versioned model artefacts stored in the built-in registry.
Production Deployment
One-click deploy to autoscaled inference endpoints. TensorRT optimisation for 3–5× faster production inference.
Real-Time £GBP Cost Dashboards
GPU overspend is the silent killer of ML projects. Our cost dashboards give you live visibility into exactly where every pound is going — by project, team member, GPU type, and job — so you can optimise continuously.
- Live £GBP spend per project and per team member
- Hourly GPU utilisation vs idle-time breakdown
- Budget alerts via email or Slack webhook
- Automatic idle GPU suspension after configurable timeout
- Monthly invoice export in £GBP for UK finance teams
- Cost forecasting based on historical usage patterns
AI/ML Teams Across the UK
How UK data science and ML engineering teams use Rooting Clouds to move faster and spend less — all billed in £GBP.
Fraud Detection Retraining Pipeline
A London fintech team needed daily model retraining on transaction data without maintaining a dedicated GPU cluster. On-demand A100 instances from £0.54/hr cut their previous fixed GPU server cost by 61%, with MLflow tracking every run automatically.
Medical Imaging Model Training
A UK healthtech startup training a computer vision model on NHS imaging datasets needed UK data residency. Rooting Clouds’ UK-only storage and GPU infrastructure met NHS data governance requirements while cutting training cycle time from 14 hours to under 3 using H100 SXM instances.
LLM Fine-Tuning for Product Search
A UK e-commerce platform fine-tuned an open-source LLM for product search ranking using LoRA on HuggingFace. Using 8× H100 cluster at £14.99/hr, a full fine-tuning run completed in 4 hours — under £60 total — replacing a quoted £8,000 managed service project.
Transparent £GBP Plans for Every Team
No currency conversion. No egress surprises. Pay for GPU hours or subscribe for predictable monthly costs.
- T4 GPU from £0.28/hr
- A100 40GB from £0.54/hr
- Jupyter & VS Code environments
- MLflow experiment tracking
- 50 GB free persistent storage
- Community support
- All GPU types including H100
- Reserved pricing (save up to 40%)
- 5-seat team workspace
- Managed MLflow + pipeline builder
- £GBP cost dashboards & alerts
- 500 GB persistent storage
- Email & Slack support (UK hours)
- 8× H100 / multi-node clusters
- Private VPC & UK data residency
- SSO / SAML integration
- Unlimited team seats
- Custom SLA & uptime commitment
- Dedicated solutions engineer
- 24/7 UK priority support
Ready to Accelerate Your AI/ML Workloads?
Talk to our UK ML infrastructure specialists. Get a personalised GPU cost estimate and pipeline review for your project — no commitment required.