Compute Services / Dedicated Cluster

Massively Deployable, Elastically Scalable
Dedicated GPU Clusters

Dedicated Cluster

Physically isolated, exclusive GPU compute clusters with dedicated resources — no sharing. Elastically scalable from single-node to thousands of GPUs, meeting the full spectrum of needs for distributed training, inference deployment, and scientific computing.

Dedicated Cluster Core Capabilities

Managed infrastructure with built-in observability, complete development experience, and research-grade performance

Sustained High Performance
Sustained stability for weeksEliminate stragglersPredictable latency

Maintain high utilization throughout multi-week training runs and model deployments. Kernel, hardware, and storage acceleration reduce latency and ensure predictable performance.

Continuous Training Monitoring100%75%50%25%GPU UtilizationStep Time
Elastic Infrastructure
Validation testingAutomated repairNode recovery

Seamlessly scale compute and storage from experimentation to production with high-speed network interconnect. Automatically maintain capacity online with continuous health checks, auto-repair, and self-service node replacement.

GPU!Faulty NodeAutoRepairGPUHealthyHigh-Speed Network · Auto Node Replacement · Capacity Online
Built-in Observability
Pre-configured dashboardsFull-stack metricsReal-time alerts

Instantly monitor workloads with pre-configured Grafana dashboards and full-stack metrics covering GPU, storage, network, and Kubernetes. Gain complete system visibility without writing custom instrumentation code.

GPUUtilization / TempNetworkThroughput / LatencyStorageIOPS / CapacityLive
Complete Development Experience
CUDA version selectionMulti-tool channels

Rapidly deploy clusters with pre-configured tools and optional driver and CUDA versions. Manage cross-team access via CLI, SDK, API, Terraform, or Web Console.

GPUGPUGPUGPUGPU ClusterAPIREST/gRPCConsoleWebCLICommand LineSDKPythonCUDA 12.6 · PyTorch 2.5 · Terraform

Use Cases

Compute solutions covering the full AI development lifecycle

Model R&D

From small-scale experiments to large-scale training with elastic scaling — release resources immediately after training completes.

Inference Deployment

Online inference service deployment for proprietary models, flexibly matching concurrency scale with low latency and high throughput.

Scientific Computing

General-purpose high-performance computing for HPC simulations, data analytics, 3D rendering, and more.

Choose Cluster Configuration

TokenFab handles full-stack deployment, optimization, and operations — including high-performance storage, full-stack monitoring, and direct R&D team support. Data and model weights always remain yours, backed by Class III security certification.

Rn5

High-performance AI compute server featuring GDDR7 ultra-fast memory, delivering breakthrough memory bandwidth and compute density.

Pricing

Rn5 offers monthly and annual subscription plans with discounted rates

Billing PeriodPrice
MonthlyContact Sales
Annual

Pricing subject to final sales quotation.