United States GPU Servers

United States GPU servers for AI training, model inference, deep learning, rendering, video transcoding and high-performance computing, balancing dedicated GPUs, 100M CN2 networking and global deployment.

GPU Dedicated GPU Resources
United States North American Business Node
100M / CN2 Optimized Access to China

High-Value Plans for Fast Business Launch

US-G1 to US-G4 models with CPU, memory, disk, bandwidth, IP, GPU and pricing organized for the United States GPU plans.

Entry level computing power

US-G1

CPU
E5-2620 / 6 Cores 12 Threads
Memory
32G
Storage
1THDD
Bandwidth
100M / CN2
IP
1
graphics card
GT750 4G D5
$ 168 .00 USD / month
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Recommended
Reasoning recommendation

US-G2

CPU
E5-2620*2 / 12 cores 24 threads
Memory
32G
Storage
1TB SSD
Bandwidth
100M / CN2
IP
1
graphics card
GT1050 4G D5
$ 208 .00 USD / month
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Rendering enhancements

US-G3

CPU
2 x E5-2680 / 16 Cores 32 Threads
Memory
32G
Storage
1TB SSD
Bandwidth
100M / CN2
IP
1
graphics card
GT1050 4G D5
$ 359 .00 USD / month
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Professional graphics

US-G4

CPU
E5-2683*2 / 32 cores 64 threads
Memory
64G
Storage
1TB SSD
Bandwidth
100M / CN2
IP
1
graphics card
AMD WX 7100
$ 469 .00 USD / month
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Which Tasks Suit Dedicated GPUs?

The United States GPU page focuses on deploying AI, inference, rendering, media and data workloads closer to North American users.

01

AI Model Training

For light and medium training, fine-tuning and experiments with dedicated CPU, memory, storage and GPU resources for long-term operation.

02

Large Model Inference Deployment

For model APIs, business system calls and online inference, with United States nodes suited to North American users and overseas gateways.

03

Deep Learning Experiments

For model validation, data processing and algorithm experiments, with system and base environment consultation.

04

3D / CGI Rendering

For 3D rendering, design software, animation and graphics workstations with GPU acceleration.

05

Video Transcoding and Media Processing

For media batches, video transcoding, editing assistance and content delivery preparation with 100M CN2 access.

06

Scientific Computing and Data Analysis

For batch computing, data analysis, parallel tasks and long-running queues with configurations selected by project stage.

Confirm the Workload Before Choosing a United States GPU Configuration

Training, inference, rendering, media and development have different priorities. Evaluate GPU, CPU, memory, storage and network together.

GPU, Memory and Continuous Operation

Training Workloads

Focus on GPU model, CPU threads, memory capacity and task stability for training and fine-tuning experiments.

Latency, Concurrency and Deployment Efficiency

Online Inference

Focus on North American access, model loading, API response and gateway bandwidth for online inference.

Graphics Drivers, Encoding and Storage

Rendering and Media

Focus on graphics drivers, remote desktop, SSD read/write and task queues for rendering and video processing.

Fast Delivery and Flexible Environment

Development and Validation

For AI experiments, model validation, staged projects and overseas team collaboration with fast deployment and expansion.

GPU Compute, System Environment and Remote Management

Designed around GPU compute, United States nodes, system environments, remote management and technical support for long-term overseas business and development teams.

Dedicated GPU Compute

GPU resources are delivered with a dedicated server for AI, rendering, media processing and high-performance computing.

United States Data Center Nodes

For North American users, overseas business, SaaS, APIs and international team collaboration.

Driver and System Assistance

Discuss Linux, Windows, remote desktop, GPU drivers and base tools according to business needs.

100M / CN2 Bandwidth

100M / CN2 as standard for overseas access, remote management and access toward China.

Remote Management Permissions

Reboot, reinstall, adjust systems and request remote assistance for development, operations and task deployment.

Custom Expansion Support

Adjust configuration by project stage from GPU selection and system delivery to later upgrades and migration.

From United States GPU Selection to Environment Delivery with Less Deployment Uncertainty

GPU users need to know whether the workload will run after purchase, so requirements, system delivery, environment assistance and expansion are handled in one flow.

01

Confirm Requirements

Confirm the scenario for training, inference, rendering, video processing or computing.

02

Match a Plan

Choose a model by GPU, CPU, memory, storage, bandwidth and budget.

03

System Delivery

Discuss Linux, Windows or a specified system environment as needed.

04

Environment Assistance

Confirm drivers, remote access and basic runtime tools.

05

Business Deployment

Deploy models, datasets, scripts, rendering tasks or API services.

06

Future Expansion

Support reinstall, upgrades, migration, troubleshooting and renewals.

United States Nodes Serve North America and Remote Access Toward China

United States GPU servers suit North American users, overseas business, international teams, SaaS, APIs, games and content operations. Dedicated IPs can serve as gateways, remote desktops, model services or management bindings.

United States GPU Node GPU Compute · 100M / CN2
North America and China Access AI Service · Remote Management

One Flow from Selection Consultation to Fast Delivery and Environment Assistance

Selection Consultation

Assess GPU and complete server configurations for training, inference, rendering, media processing or computing.

Fast Deployment

Arrange system, network and remote access from United States in-stock resources to shorten launch time.

Hardware Upgrade

Expand CPU, memory, storage, bandwidth and IPs by business stage.

Dedicated Communication

Stable coordination for selection, delivery, environment assistance and follow-up issues.

Professional Free Migration
Seamless Migration to United States GPU Servers

Purchase a United States GPU server and apply for free migration. Our technical team helps migrate websites, environments and data while minimizing switching time.

  • Low-Downtime Migration
  • Data Integrity Assurance
  • 24/7 Professional Technical Support
  • Support for Major Dashboards
  1. 1 Current Server Confirm Existing Environment
  2. 2 Professional Migration Technical Team Execution
  3. 3 United States GPU Servers Verify and Go Live
Migration Service Commitment

Support for common environments including major website applications, cPanel and Baota, with professional assistance for GPU server migration and launch verification.

Apply for Free Migration
Compute Reference

GPU Deployment Updates and Usage Guide

Compute FAQ

Confirm These Details Before Deployment

What is the difference between a United States GPU server and a regular United States server?

A GPU server adds dedicated graphics resources to a dedicated server for AI training, model inference, rendering, video processing and parallel computing.

Are these configurations for AI training or inference?

These plans suit light and medium training, inference, model validation, rendering and media processing. Consult GPU, memory and system compatibility for heavy training.

Are CUDA, drivers and deep learning environments supported?

Discuss systems, drivers, remote desktop and base tools according to business needs. Support depends on the delivered configuration.

Which business access scenarios suit United States nodes?

United States nodes suit North American users, overseas business, SaaS, APIs, games, content and international teams, with CN2 options for access toward China.

Where do I manage the server after ordering?

This page provides product information and routing. Ordering, billing, renewals and the client area continue through the existing client center.

Professional Business Assessment and Precise Server Matching

Our technical advisors match cloud server configurations based on access region, concurrency, budget and future expansion needs,
with a suitable configuration recommendation for your business.

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