Deploy Virtual Machines, Containers, Kubernetes clusters, Bare Metal servers, and Confidential Compute — at up to 90% less than traditional cloud providers.
48,291
GPUs Available
$0.49
Avg $/hr GPU
138
Global Regions
99.9%
Uptime SLA
2.4M+
Jobs Completed
🖥️
Virtual Machines
GPU-accelerated VMs with full OS control. Choose from thousands of pre-configured images or bring your own.
🐳
Container Compute
Deploy Docker containers instantly. Scalable, isolated, and production-ready in seconds.
☸️
Kubernetes
Managed Kubernetes clusters with auto-scaling, load balancing, and GPU node pools built-in.
⚙️
Bare Metal
Dedicated physical GPU servers. No hypervisor overhead — maximum performance for intensive workloads.
🔒
Confidential Compute
Hardware-level encrypted enclaves. Your data is protected even from the infrastructure provider.
💰
Up to 90% Savings
Decentralized supply means lower prices. Pay only for what you use with transparent per-second billing.
🖥️ Create Virtual Machine
Select a GPU processor and configure your VM instance
1Select GPU Processor
✓Selected: —
2Configure VM
64GB
GPU
—
Count
—
Region
US East
Estimated Cost
$0.00/hr
🐳 Create Container
Select a GPU processor and configure your container workload
1
Select GPU Processor
✓Selected: —
2
Configure Container
GPU
— Select a GPU
Count
—
Billing
Per Second
Min Duration
1 second
Estimated Cost
$0.00/hr
🔒 Request Access
Join the waitlist for early access
Dashboard
🔍
💰 $0.00
🔔
?
TRD Network Cloud ⚡
Decentralized GPU compute — VMs, Containers, K8s, Bare Metal & more.
⚡ Active Instances
0
across all compute types
💰 Month Spend
$0.00
↑ Within budget
🌐 Network GPUs
48,291
↑ 2,140 online now
💎 $IO Balance
0
Add credits to start
📈 Network Usage (7d)
🔋 Resource Split
VMs —38%
Containers —25%
K8s —22%
Other —15%
GPU Utilization64%
Memory38%
Network I/O72%
⚡ Quick Deploy
Virtual Machine
From $0.39/hr
Container
From $0.29/hr
Kubernetes
Request Access
Bare Metal
Request Access
Confidential
Request Access
🕐 Recent Activity
All logs →
📋
No recent activity
Deploy your first instance to see activity here
—
Compute
Manage all your GPU instances across compute types
Virtual Machines
GPU-accelerated VMs — select a processor to get started
🖥️ Total VMs
0
across all regions
✅ Running
0
⏹️ Stopped
0
💰 Hourly Cost
$0.00
⚡ Available GPU Processors
25 processors available
🖥️ Your VM Instances
🖥️
No VMs deployed yet
Select a GPU processor above and click Deploy to launch your first VM.
Containers
Docker containers on GPU compute — per-second billing
🐳 Containers
0
▶️ Running
0
📦 Images Pulled
0
💰 Hourly Cost
$0.00
⚡ Available GPU Processors
22 processors available
🐳 Your Containers
🐳
No containers deployed yet
Select a GPU processor above and click Deploy to launch your first container.
Kubernetes
Managed K8s clusters with GPU node pools
☸️
Kubernetes — Request Access
Managed Kubernetes with GPU node pools, auto-scaling, and built-in monitoring. Currently in private beta — request access to join the waitlist.
GPU-optimized node pools with NVIDIA device plugin
Auto-scaling based on GPU utilization metrics
Persistent volumes with high-speed NVMe storage
Integrated monitoring with Prometheus & Grafana
Helm chart support and GitOps workflows
Multi-region cluster federation
Bare Metal
Dedicated physical GPU servers — zero hypervisor overhead
⚙️
Bare Metal Servers — Request Access
Get full access to physical GPU hardware. No virtualization, no shared tenancy — maximum performance for the most demanding compute workloads.
Dedicated NVIDIA HGX A100 / H100 systems
NVLink / NVSwitch fabric for multi-GPU communication
Up to 8x H100 SXM5 per node (640GB HBM3)
400GbE InfiniBand networking
IPMI / BMC remote management access
Custom OS images and firmware control
Minimum 72-hour reservation windows
Confidential Compute
Hardware-encrypted GPU enclaves for sensitive workloads
🔒
Confidential Compute — Request Access
Run sensitive AI workloads with hardware-level encryption. Your data and models remain encrypted even during computation — invisible to the infrastructure provider.
NVIDIA H100 Confidential Computing mode
Trusted Execution Environments (TEE) via AMD SEV-SNP
Encrypted memory with hardware attestation
Zero-knowledge proof of compute integrity
HIPAA, GDPR, and SOC 2 Type II compliant
Remote attestation APIs for verification
Ideal for medical AI, financial models, sensitive IP
GPU Marketplace
Rent decentralized GPU compute at the best prices
🟢 48,291 Online
Clusters
Multi-node distributed GPU workloads across all compute types
🖥️ VM Clusters
0
✅ Running
0
🖥️ Total Nodes
0
💰 Hourly Cost
$0.00
🖥️ VM Cluster — Create New
Active VM Clusters
🖥️
No VM clusters
Create a VM cluster for distributed training across multiple GPU nodes.
🐳 Container Clusters
0
▶️ Running
0
📦 Total Replicas
0
💰 Hourly Cost
$0.00
🐳 Container Cluster — Create New
Active Container Clusters
🐳
No container clusters
Create a container cluster for scalable distributed inference or training.
Kubernetes Clusters — Request Access
Managed Kubernetes with GPU node pools, auto-scaling, and built-in monitoring. Currently in private beta — request access to join the waitlist.
GPU-optimized node pools with NVIDIA device plugin pre-installed
Auto-scaling based on GPU utilization metrics via KEDA
Persistent volumes with high-speed NVMe storage classes
Integrated Prometheus + Grafana GPU dashboards
Helm chart support, GitOps via ArgoCD / Flux
Multi-region cluster federation with global load balancing
Spot & preemptible GPU node pools for cost savings
Bare Metal Clusters — Request Access
Dedicated physical GPU servers clustered together. No virtualization overhead — raw hardware performance for the most demanding distributed workloads.
Dedicated NVIDIA HGX H100 / H200 / B200 server nodes
NVLink / NVSwitch fabric for intra-node GPU communication
400GbE InfiniBand NDR interconnect between nodes
Up to 8× H100 SXM5 per node — 640GB HBM3 per server
IPMI / BMC remote management and console access
Custom OS images, firmware control, BIOS-level tuning
GPUDirect RDMA for zero-copy inter-node GPU communication
Minimum 72-hour reservation windows, up to 12-month reserved
Confidential Compute Clusters — Request Access
Hardware-level encrypted GPU clusters where your data, models, and computation remain fully private — even from the infrastructure operator. Built for regulated industries and sensitive AI workloads.
NVIDIA H100 Confidential Computing mode with hardware TEE
AMD SEV-SNP encrypted VM memory across all cluster nodes
Remote attestation API — cryptographic proof of compute integrity
Zero-knowledge proof of model execution without data exposure
Encrypted inter-node communication with mutual TLS + SGX attestation
HIPAA, GDPR, SOC 2 Type II, and FedRAMP compliant infrastructure
Ideal for medical AI, financial models, legal data, and sensitive IP
Audit logs with tamper-evident ledger for compliance reporting
Storage
Datasets, checkpoints, and persistent volumes
💾 Used
0 GB
📦 Volumes
0
💵 Cost
$0.00
💾
No storage volumes
Upload datasets or create persistent volumes for your instances.
Analytics
Resource utilization, cost, and performance metrics