High-Performance GPU Dedicated Servers with MSI RTX 4070 Ti SUPER

AI & Machine Learning Infrastructure That Scales With You

UnderHost delivers enterprise-class GPU dedicated servers equipped with dual MSI RTX 4070 Ti SUPER GPUs. Built for AI, machine learning, and deep learning workloads, our servers combine ultra-fast NVMe SSDs, DDR4 RAM, and high-end CPUs with a pre-installed Ubuntu 22.04 OS and leading AI frameworks. Ideal for LLM training, neural networks, and complex rendering, our servers are designed for scalability, performance, and ease of deployment.

Intel GPU Server - Dual RTX 4070 Ti SUPER

$599.95 USD monthly

  • Optimized for AI/ML workloads with Ubuntu 22.04 + LLM frameworks pre-installed
  • 2x RTX 4070 Ti SUPER (32GB total GPU memory)
  • Intel i9-7900X (10 cores, 20 threads)
  • 64GB DDR4 RAM
  • 1TB NVMe SSD Storage
  • 1Gbps Dedicated Network
  • 1 IPv4 + IPv6 Included
  • Ubuntu 22.04 LTS Pre-installed
  • LLM Frameworks Ready
  • Root Access Included
Intel Core i9 Processor MSI GPU Server
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AMD GPU Server AMD Version

AMD GPU Server - Dual RTX 4070 Ti SUPER

$599.95 USD monthly

  • Optimized for AI/ML workloads with Ubuntu 22.04 + LLM frameworks pre-installed
  • 2x RTX 4070 Ti SUPER (32GB total GPU memory)
  • AMD Ryzen 9 3950X (16 cores, 32 threads)
  • 64GB DDR4 RAM
  • 1TB NVMe SSD Storage
  • 1Gbps Dedicated Network
  • 1 IPv4 + IPv6 Included
  • Ubuntu 22.04 LTS Pre-installed
  • LLM Frameworks Ready
  • Root Access Included
AMD Ryzen Processor MSI GPU Server
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Intel GPU Server Intel Version

UnderHost vs. Cloud GPU Providers

How our dedicated RTX 4070 Ti SUPER servers outperform major cloud platforms

GPU Model
2× RTX 4070 Ti SUPER Best
1× NVIDIA A10G Good
1× NVIDIA T4 Basic
1× NVIDIA T4 Basic
Total GPU Memory
32GB GDDR6X
24GB GDDR6
16GB GDDR6
16GB GDDR6
FP32 Performance
40 TFLOPS
31.2 TFLOPS
8.1 TFLOPS
8.1 TFLOPS
Monthly Cost
$599.95 flat rate Best Value
$1,200+ estimated
$1,100+ estimated
$1,000+ estimated
vCPUs
10-16 dedicated cores Dedicated
4 vCPUs Shared
4 vCPUs Shared
4 vCPUs Shared
Memory
64GB DDR4
16GB
16GB
16GB
Storage
1TB NVMe SSD
125GB SSD
100GB SSD
100GB SSD
Bandwidth
1Gbps unmetered Unlimited
10Gbps metered Pay per GB
10Gbps metered Pay per GB
10Gbps metered Pay per GB
Dedicated Resources
✓ Full dedication Exclusive
✗ Shared host
✗ Shared host
✗ Shared host
Pre-installed AI Tools
✓ TensorFlow, PyTorch, etc. Ready-to-use
✗ Manual setup
✗ Manual setup
✗ Manual setup

Dual RTX 4070 Ti SUPER

GPU Model 2× RTX 4070 Ti SUPER (16GB each)
Total GPU Memory 32GB GDDR6X
FP32 Performance 40 TFLOPS
Monthly Cost* $599.95
vCPUs 10-16 dedicated cores
Memory 64GB DDR4
Storage 1TB NVMe SSD
Bandwidth 1Gbps unmetered
Dedicated Resources ✓ Full dedication
Pre-installed AI Tools ✓ TensorFlow, PyTorch, etc.
AWS

G5.xlarge (A10G)

GPU Model 1× NVIDIA A10G (24GB)
Total GPU Memory 24GB GDDR6
FP32 Performance 31.2 TFLOPS
Monthly Cost* $1,200+
vCPUs 4 vCPUs (shared)
Memory 16GB
Storage 125GB SSD
Bandwidth 10Gbps (metered)
Dedicated Resources ✗ Shared host
Pre-installed AI Tools ✗ Manual setup
Azure

NCasT4_v3

GPU Model 1× NVIDIA T4 (16GB)
Total GPU Memory 16GB GDDR6
FP32 Performance 8.1 TFLOPS
Monthly Cost* $1,100+
vCPUs 4 vCPUs (shared)
Memory 16GB
Storage 100GB SSD
Bandwidth 10Gbps (metered)
Dedicated Resources ✗ Shared host
Pre-installed AI Tools ✗ Manual setup
Google Cloud

NVIDIA T4

GPU Model 1× NVIDIA T4 (16GB)
Total GPU Memory 16GB GDDR6
FP32 Performance 8.1 TFLOPS
Monthly Cost* $1,000+
vCPUs 4 vCPUs (shared)
Memory 16GB
Storage 100GB SSD
Bandwidth 10Gbps (metered)
Dedicated Resources ✗ Shared host
Pre-installed AI Tools ✗ Manual setup

Why We Choose the MSI RTX 4070 Ti SUPER

At UnderHost, performance and reliability matter. That's why we use the MSI GeForce RTX 4070 Ti SUPER 16G GAMING X SLIM for our dual-GPU configurations. These cards offer superior ray tracing and AI acceleration capabilities built on NVIDIA's Ada Lovelace architecture—making them ideal for LLMs, GANs, and real-time inference tasks.

Each server delivers over 40 TFLOPS of compute power, paired with NVMe SSD storage and top-tier processors, making them perfect for large-scale data analysis, 3D rendering, and AI model deployment. We also include deep learning frameworks like TensorFlow, PyTorch, and JAX, pre-installed for immediate productivity. Whether you're a startup or a research institute, our servers are optimized for performance and supported 24/7 by our expert team.

MSI RTX 4070 Ti SUPER Advantages:

  • 16GB GDDR6X Memory @ 21 Gbps – Lightning-fast data handling
  • 8,448 CUDA Cores – Massive parallel processing power
  • 672 GB/s Memory Bandwidth – Optimized for AI, ML, and 3D workloads
  • MSI TRI FROZR 3 Cooling – Quiet, efficient, and server-friendly
  • Slim Form Factor – Perfect fit for high-density server environments
MSI GeForce RTX 4070 Ti SUPER GAMING X SLIM
GEFORCE RTX

RTX 4070 Ti SUPER GPU Specs & Options

Unleash powerful GPU compute with expandability and flexibility for demanding AI/ML workflows.

GPU Specs:

  • 8448 CUDA Cores
  • 16GB GDDR6X Memory
  • 672 GB/s Bandwidth
  • Boost Clock: 2610 MHz
  • PCIe 4.0 x16 Interface
  • Supports CUDA, Tensor, RT Cores

Available Options:

  • 1Gbps Shared: FREE
  • 1Gbps Dedicated 100TB: $25/month
  • 1Gbps Dedicated Unmetered: $119.95/month
  • Full Management: $165/month
  • 2TB Remote Backups: from $29.95/month

Why Choose Our GPU Servers?

  • Dual RTX 4070 Ti SUPER GPUs - 32GB total GDDR6X memory for intensive workloads
  • High-Core-Count CPUs - Choose between Intel i9-7900X (10c/20t) or AMD Ryzen 9 3950X (16c/32t)
  • Fast NVMe Storage - 1TB of ultra-fast NVMe SSD storage for dataset handling
  • Pre-configured Environments - Ubuntu 22.04 with LLM frameworks ready to use
  • Root Access - Full control over your server environment
  • 1Gbps Network - High-speed connectivity for data transfer
  • Dedicated Resources - No noisy neighbors, all resources are yours alone

Ideal For:

  • AI & Machine Learning Training
  • Deep Learning & Neural Networks
  • LLM (Large Language Model) Development
  • 3D Rendering & Visualization
  • Scientific Computing & Research
  • Video Processing & Transcoding
  • Financial Modeling & Analysis
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GPU Server Rack
MSI Logo

Pre-Configured for AI & ML

Every server ships with everything you need:

  • Ubuntu 22.04 with NVIDIA drivers
  • CUDA Toolkit + cuDNN
  • TensorFlow, PyTorch & ML Frameworks
  • JupyterLab, Docker + NVIDIA Toolkit
  • Pre-loaded with common data science tools

Need a custom setup? We’ll install and configure everything you require.

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Need a Custom GPU Server Config?

 

We can tailor a GPU server to your exact specifications with different GPU models, CPU options, memory configurations, and storage solutions.

Whether you need more GPUs, higher memory capacity, faster storage, or specialized hardware, our team can design the perfect solution for your workload.

Contact us with your requirements and we'll provide a custom quote within 24 hours.

 

Request Custom GPU Server
Frequently Asked Questions
What AI/ML frameworks are supported?

Our servers support all major frameworks including TensorFlow, PyTorch, Keras, MXNet, and more. We pre-install the most common ones, and can install others on request. All frameworks are configured to take full advantage of the GPU acceleration.

Can I run multiple users/jobs on one server?

Yes, you can set up multiple user accounts and run concurrent jobs. We recommend using container solutions like Docker or job schedulers like Slurm for optimal resource allocation between users/projects.

What kind of performance can I expect?

Our dual RTX 4070 Ti SUPER configuration delivers excellent performance for most AI/ML workloads. You can expect significantly faster training times compared to CPU-only systems, with typical speedups of 10-50x depending on the workload.

Do you offer short-term rentals?

Yes, we offer weekly rentals at a prorated price. This is ideal for short-term projects, testing, or temporary capacity needs. Contact our sales team for weekly pricing information.

What about data transfer and bandwidth?

All servers include 1Gbps unmetered bandwidth. For high-volume data transfer needs, we offer 10Gbps upgrades. There are no hidden transfer limits or overage charges.

How quickly can I get my server deployed?

Standard configurations are typically provisioned within 24 hours of payment. Custom configurations may take 2-3 business days depending on hardware requirements.

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