Your Tamga Your Run

A distributed cloud platform for compute power. Share your GPU/CPU and earn, or rent distributed hardware for AI, rendering, and more.

GPU Instance
2
Active Nodes
3
Available GPUs
1
Countries
25
Jobs Completed
99.97
Network Uptime
0
Provider Nodes

Built for providers and developers

Whether you want to earn from your idle hardware or need compute power on demand, Tamga Run connects you directly.

Ultra Low Latency

Deploy workloads in milliseconds across our global distributed cloud network with automatic regional routing.

Global Hardware Pool

Thousands of providers worldwide. When one node goes offline, failover migrates your workload instantly.

Distributed Cloud Marketplace

Providers set their price based on hardware. Renters pay by the hour. No middlemen, no markups.

TamgaControlCenter

Our desktop app auto-detects your GPU, CPU, and RAM, benchmarks performance, and suggests optimal hourly rates.

End-to-End Encrypted

All communication between your workload and provider hardware is encrypted. Your data stays private.

Vloud Storage

Distributed cloud storage powered by the community. Store, access, and serve files from the edge.

Cross-Platform

TamgaControlCenter runs on macOS, Linux, and Windows. Share or rent from any device.

API First

Everything is API-first. Integrate with our REST API, SDKs, or CLI — the choice is yours.

Docker Ready

Run any Docker container on rented hardware. Bring your own images or use our optimized library.

Auto Pricing

Our algorithm benchmarks your hardware and suggests competitive hourly rates. You can adjust anytime.

Transparent Pricing

Pay only for what you use. No hidden fees, no surprise charges. See exactly what you'll pay upfront.

Rent high-performance GPUs

From consumer GPUs to data-center cards, find the perfect hardware for your workload.

RTX 3060
Ampere
VRAM12 GB GDDR6
Availability0
Memory BW360 GB/s
$0.18/hour
Performance
62/100
RTX 3090
Ampere
VRAM24 GB GDDR6X
Availability0
Memory BW936 GB/s
$0.35/hour
Performance
78/100
RTX 4090
Ada Lovelace
VRAM24 GB GDDR6X
Availability0
Memory BW1008 GB/s
$3.49/hour
Performance
94/100
H100 SXM
Hopper
VRAM80 GB HBM3
Availability0
Memory BW3350 GB/s
$3.49/hour
Performance
100/100

Enterprise-grade compute instances

High-performance CPUs for every workload — from dedicated cores to massive parallel processing.

AMD EPYC
Genoa
vCPUsUp to 128
RAMUp to 2TB
Clock4.4 GHz
Regions53
$0.04/hour per vCPU
Performance
95/100
Intel Xeon
Sapphire Rapids
vCPUsUp to 96
RAMUp to 1TB
Clock4.8 GHz
Regions67
$0.05/hour per vCPU
Performance
91/100
AMD Ryzen
Threadripper
vCPUsUp to 64
RAMUp to 256GB
Clock5.3 GHz
Regions48
$0.03/hour per vCPU
Performance
78/100
Apple Silicon
M3 Ultra
vCPUsUp to 32
RAMUp to 192GB
Neural Engine32-core
Regions29
$0.06/hour per vCPU
Performance
72/100

From setup to earning in minutes

Getting started with Tamga Run is simple. Whether you're a provider or renter, we've got you covered.

01

Download TamgaControlCenter

Install our free desktop app on macOS, Linux, or Windows. It's lightweight and runs in the background.

02

Configure & Price

Choose how much GPU, CPU, and storage to share. Our auto-benchmark suggests the best hourly rate for your hardware.

03

Earn or Rent Instantly

Go live in one click. Renters find your hardware instantly. Or browse the marketplace to rent from others.

For everyone. For everything.

From AI training to 3D rendering, Tamga Run powers any workload on distributed hardware.

AI & Machine Learning

Train and deploy models on rented GPUs. Providers earn while their hardware runs inference and training jobs.

3D Rendering & VFX

Render complex scenes across distributed GPUs. Providers monetize idle rendering power.

Scientific Computing

Run simulations and research on community-powered HPC clusters. Affordable and scalable.

Game Hosting

Deploy game servers on low-latency provider nodes worldwide. Auto-scale based on demand.

Data Processing

Process massive datasets across distributed CPUs and GPUs. Spark, Ray, and Dask compatible.

Serverless Functions

Run GPU-accelerated functions on shared hardware. Pay-per-execution, auto-scaling.

Everything is API

Our REST API, SDKs, and CLI give you complete control over your compute infrastructure. Integrate in minutes.

Python SDK
import tamga_run as tr

# Initialize client
client = tr.Client(api_key="tr_sk_...")

# Deploy a GPU instance
instance = client.instances.create(
    gpu="RTX 4090",
    image="pytorch:latest",
    duration=3600,
    region="eu-west"
)

print(f"Instance {instance.id} running")
CLI
# Install the CLI
$ npm install -g @tamga/cli

# Authenticate
$ tamga login

# Deploy a container
$ tamga deploy \
  --gpu RTX4090 \
  --image pytorch:latest \
  --duration 3600 \
  --region eu-west

# List instances
$ tamga ps
# → 3 running, 0 stopped