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High-Performance
GPU Cloud & On-Premise Rental

>_ Initializing High-Compute Infrastructure...

Available Inventory

STATUS: ● ONLINE
Model Name
VRAM
Nodes
Hourly Rate
Daily Rate
Action
Daily A100 Cluster HOT
MEMORY 80 GB
CONFIGURATION 4x Unit
HOURLY RATE
$40.00
DAILY RATE
$800.00
Weekly 3090 Student Plan HOT
MEMORY 24 GB
CONFIGURATION 1x Unit
HOURLY RATE
$2.50
DAILY RATE
$50.00
Hourly 4090 Rental HOT
MEMORY 24 GB
CONFIGURATION 1x Unit
HOURLY RATE
$5.00
DAILY RATE
$100.00

Datacenter Environment

Network

10Gbps Uplink

Ultra-low latency fiber connection ensuring rapid dataset uploads and instant model checkpoint downloads.

Power

N+1 Power Redundancy

Stable power delivery with enterprise-grade UPS backup to protect your long-running training sessions from interruption.

Cooling

Precision Cooling

Climate-controlled environment maintaining optimal thermal performance, allowing for sustained peak GPU boost clocks.

How Do I Connect?

Secure, instant access via standard SSH and Jupyter protocols.

user@local:~$ ssh client@node-01.tech.shzsan.com Authenticating public key...
Connection established.
client@node-01:~$ nvidia-smi +-----------------------------------------------------------------------------+ | NVIDIA-SMI 535.104.05 Driver Version: 535.104.05 CUDA Version: 12.2 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 NVIDIA RTX 4090 On | 00000000:01:00.0 Off | Off | | 30% 42C P8 26W / 450W | 0MiB / 24564MiB | 0% Default | +-------------------------------+----------------------+----------------------+
client@node-01:~$ jupyter notebook --port=8888 --no-browser