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GPU Computing · NVIDIA A100 / H100

GPU Server Rental
AI Training / Deep Learning / Rendering

Provides NVIDIA A100/H100 top-tier GPU computing power, high-speed InfiniBand interconnect, NVMe SSD storage
Suitable for AI model training, deep learning, rendering, on-demand rental, instant deployment

NVIDIA A100/H100 NVMe SSD High-Speed InfiniBand On-Demand Rental
A100/H100Top-Tier GPU
NVMeHigh-Speed Storage
99.9%SLA Stability
7×24Technical Support
Pricing

GPU Server Pricing Plans

Transparent pricing, no hidden fees, select GPU computing power configuration on demand

PlanGPUVRAMCPUMemoryStorageBandwidthPricing
Starter
Ideal for inference
1x RTX409024 GB8 vCPU32 GB200 GB NVMe1 Gbps $599/month Purchase Now
A100 80G
Ideal for large model training
1x A100 80G80 GB32 vCPU128 GB1 TB NVMe10 Gbps $2199/month Purchase Now
H100
Ideal for ultra-large scale training
1x H100 80G80 GB64 vCPU256 GB2 TB NVMe25 Gbps $3999/month Purchase Now
Starter (RTX4090)Ideal for inference
$599/month
GPU1x RTX4090
VRAM24 GB
CPU8 vCPU
Memory32 GB
Storage200 GB NVMe
Purchase Now
A100 40GPopularIdeal for training
$1299/month
GPU1x A100 40G
VRAM40 GB
CPU16 vCPU
Memory64 GB
Storage500 GB NVMe
Purchase Now
A100 80GIdeal for large model training
$2199/month
GPU1x A100 80G
VRAM80 GB
CPU32 vCPU
Memory128 GB
Storage1 TB NVMe
Purchase Now
H100Ideal for ultra-large scale training
$3999/month
GPU1x H100 80G
VRAM80 GB
CPU64 vCPU
Memory256 GB
Storage2 TB NVMe
Purchase Now
Advantages

GPU Server Advantages

Why Choose SixCVM GPU Computing Power

🖥️

NVIDIA Top-Tier GPU

Provides RTX4090, A100, H100 and other top-tier GPUs, meeting all scenario needs from inference to ultra-large scale training

High-Speed NVMe Storage

All NVMe SSD, extremely fast read/write speeds, data loading is no longer a training bottleneck

🔗

InfiniBand High-Speed Interconnect

High-speed InfiniBand network interconnect, multi-card/multi-node training communication latency extremely low, strong scalability

🛡️

99.9% SLA Stability

Multi-redundant architecture, T3+ data center, 99.99% power guarantee, training tasks uninterrupted

🔧

Flexible On-Demand Rental

Monthly rental, no need to purchase hardware, upgrade GPU model anytime, reduce computing power costs

🚀

7×24 Technical Support

Professional engineers respond around the clock, assist with environment configuration and troubleshooting, seamless service

Network

GPU Cluster and Infrastructure

Enterprise-grade GPU computing infrastructure

High-Speed InfiniBand Interconnect

High-speed InfiniBand interconnect between GPU nodes, multi-card training communication bandwidth high, latency extremely low

Dedicated GPU Cluster

Independent GPU computing cluster, dedicated resources, no virtualization performance loss, stable and predictable computing power

T3+ Data Center

Internationally certified T3+ data center, precision air conditioning ensures GPU cooling, 99.99% power guarantee

DDoS Protection

Built-in traffic scrubbing system, defense against large-scale DDoS attacks, business stays online unaffected

Use Cases

GPU Server Use Cases

Covering AI and high-performance computing all scenarios

🤖

AI Model Training

A100/H100 top-tier computing power, accelerate large-scale AI model training, shorten training cycles

🧠

Deep Learning

Supports PyTorch/TensorFlow, first choice for deep learning research and engineering deployment

🎨

Image Rendering

High-performance GPU accelerates 3D rendering, greatly improves film production and design efficiency

🔬

Scientific Computing

GPU parallel computing accelerates scientific simulation, molecular dynamics, climate simulation and other scenarios

💬

Large Language Models

A100/H100 supports tens-of-billions parameter large model training and fine-tuning, LLM first choice computing power

🚀

Inference Deployment

RTX4090 high cost-effective inference, A100/H100 high throughput inference, meets different scale needs

Specifications

Specifications

GPU Server complete technical specifications

Virtualization Technology
KVM + GPU Passthrough (PCI Passthrough)
Storage Type
NVMe SSD RAID (Read/Write >5000 MB/s)
IP Type
Dedicated IPv4
Operating System
Ubuntu / CentOS + CUDA 11.x/12.x
Network Interconnect
High-Speed InfiniBand
Data Center
T3+ Dedicated GPU Cluster Data Center
Snapshot Backup
Supported, one-click restore
Control Panel
Self-developed management panel, supports reinstall/restart/VNC
FAQ

FAQ

GPU Server frequently asked questions

Who are GPU Servers ideal for?

Ideal for AI model training, deep learning research, image rendering, scientific computing, large language model training and inference deployment users who need high-performance GPU computing power.

What GPU models are provided?

Provides NVIDIA RTX4090 (24GB), A100 40G, A100 80G, H100 80G and other models, meeting different needs from inference to ultra-large scale training.

What CUDA versions are supported?

Supports CUDA 11.x/12.x, with mainstream deep learning frameworks (PyTorch, TensorFlow) pre-installed, and customizable environments on demand.

What's the difference between GPU Server and cloud GPU?

SixCVM GPU Server provides dedicated GPU resources, no resource contention, stable and predictable performance; supports GPU passthrough, minimal performance loss, ideal for training tasks that require high computing power stability.

How to purchase GPU Server?

After registering a SixCVM account, select a GPU plan, complete payment and get instant activation, supports Alipay, WeChat Pay and other payment methods.

Does GPU Server support refunds?

Supports 3-day no-reason refund, if you encounter service quality issues you can contact 7×24 customer service at any time, protecting your rights.

Reviews

User Reviews

Feedback from real users of GPU Server

★★★★★

"A100 80G training large models is very fast, GPU passthrough performance loss is minimal, InfiniBand interconnect multi-card training efficiency is high, highly recommended."

★★★★★

"RTX4090 for inference deployment, extremely cost-effective, NVMe storage loads data very fast, customer technical support is professional, renewed for half a year."

★★★★★

"H100 training ultra-large scale models, stability is very good, 7×24 technical support responds promptly, is the best GPU cloud service I've used so far."

What is a GPU Server? How to Choose the Right GPU Computing Power?

A GPU Server is a specialized computing server equipped with high-performance graphics processing units (GPUs). Utilizing the massive parallel computing capabilities of GPUs, it can speed up tasks such as AI training, deep learning, and rendering by tens or even hundreds of times. SixCVM provides top-tier GPUs such as NVIDIA RTX4090, A100, and H100, meeting all scenario needs from personal research to enterprise-level large-scale training.

How to Choose the Right GPU Model?

RTX4090 (24GB): Ideal for inference deployment and small to medium-scale model training, most cost-effective. A100 40G: Ideal for mainstream large model training and fine-tuning, first choice for AI engineers. A100 80G: Ideal for tens-of-billions parameter large model training, ample VRAM. H100 80G: NVIDIA's latest flagship GPU, ideal for ultra-large scale model training, most powerful computing power.

GPU Server vs Self-Built GPU Cluster

Self-built GPU clusters require high hardware investment, data center costs and operational manpower, with long cycles and high risks. SixCVM GPU Server offers monthly rental, no upfront investment, scalable anytime, 7×24 professional operations guarantee, allowing you to focus on algorithm research and business innovation, rather than infrastructure management.