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Dedicated AI Servers

Accelerate Your AI & ML Projects with GPU-Optimized Infrastructure
Supercharge your machine learning, deep learning, and data analytics workloads with dedicated GPU servers.

Bare Metal Server

Dedicated AI Servers Pricing

CPU
4 Cores
6 Cores
8 Cores
10 Cores
12 Cores
16 Cores
20 Cores
24 Cores
28 Cores
32 Cores
40 Cores
44 Cores
48 Cores
64 Cores
128 Cores
RAM
8GB
16GB
24GB
32GB
64GB
128GB
256GB
384GB
512GB
STORAGE
HDD
SSD
NETWORK
1Gbps
10Gbps
LOCATION
Australia
Canada
Germany
Hong Kong
Japan
Netherlands
Singapore
United Kingdom
United States
DELIVERY TIME
1 HOUR
5 DAYS

2 x Intel Xeon E5-2620v4

  • 188

CPU

8 Cores/16 Threads

GPU

T4

    • RAM
    • 64GB
    • Storage
    • 4x2TB HDD
    • Network
    • 1 Gbps
    • 30 TB
    • Location/Setup
    • Germany
    • 5 days

2 x Intel Xeon E5-2630v4

  • 194

CPU

10 Cores/20 Threads

GPU

T4

    • RAM
    • 64GB
    • Storage
    • 2x960GB SSD
    • Network
    • 1 Gbps
    • 30 TB
    • Location/Setup
    • Canada
    • 5 days

2 x Intel Xeon E5-2620v4

  • 236

CPU

8 Cores/16 Threads

GPU

T4

    • RAM
    • 64GB
    • Storage
    • 4x2TB HDD
    • Network
    • 1 Gbps
    • 30 TB
    • Location/Setup
    • United States
    • 5 days

2 x Intel Xeon E5-2630v4

  • 237

CPU

10 Cores/20 Threads

GPU

T4

    • RAM
    • 64GB
    • Storage
    • 2x960GB SSD
    • Network
    • 1 Gbps
    • 30 TB
    • Location/Setup
    • Germany
    • 5 days

2 x Intel Xeon 5218

  • 250

CPU

16 Cores/32 Threads

GPU

T4

    • RAM
    • 64GB
    • Storage
    • 2x1TB HDD
    • Network
    • 1 Gbps
    • 30 TB
    • Location/Setup
    • Canada
    • 5 days

1 x AMD EPYC 7702P

  • 251

CPU

64 Cores/64 Threads

GPU

L4

    • RAM
    • 64GB
    • Storage
    • 2x960GB SSD
    • Network
    • 1 Gbps
    • 30 TB
    • Location/Setup
    • United Kingdom
    • 5 days

2 x Intel Xeon E5-2620v4

  • 258

CPU

8 Cores/16 Threads

GPU

T4

    • RAM
    • 64GB
    • Storage
    • 4x2TB HDD
    • Network
    • 1 Gbps
    • 30 TB
    • Location/Setup
    • Netherlands
    • 5 days

2 x Intel Xeon 4214

  • 277

CPU

12 Cores/24 Threads

GPU

T4

    • RAM
    • 64GB
    • Storage
    • 2x480GB SSD
    • Network
    • 1 Gbps
    • 30 TB
    • Location/Setup
    • United States
    • 5 days

2 x Intel Xeon 5218

  • 279

CPU

16 Cores/32 Threads

GPU

T4

    • RAM
    • 64GB
    • Storage
    • 2x1TB HDD
    • Network
    • 1 Gbps
    • 30 TB
    • Location/Setup
    • Germany
    • 5 days

2 x Intel Xeon E5-2650v4

  • 283

CPU

12 Cores/24 Threads

GPU

T4

    • RAM
    • 64GB
    • Storage
    • 2x480GB SSD
    • Network
    • 1 Gbps
    • 30 TB
    • Location/Setup
    • United States
    • 5 days

GPU Information

Model

T4

    • Memory
    • 16 GB GDDR6
    • Memory Bandwidth(GB/s)
    • 300
    • Power (W)
    • 70
    • Interconnect Bandwidth(GB/s)
    • 32
    • FB64 (TFLOPS)
    • NA
    • FB32 (TFLOPS)
    • 8.1
    • AI Performance (INT8)TOPS
    • 130

Model

A30

    • Memory
    • 24 GB HBM2
    • Memory Bandwidth(GB/s)
    • 933
    • Power (W)
    • 165
    • Interconnect Bandwidth(GB/s)
    • 64
    • FB64 (TFLOPS)
    • NA
    • FB32 (TFLOPS)
    • 10.3
    • AI Performance (INT8)TOPS
    • 330

Model

A40

    • Memory
    • 40 GB GDDR6
    • Memory Bandwidth(GB/s)
    • 696
    • Power (W)
    • 300
    • Interconnect Bandwidth(GB/s)
    • 64
    • FB64 (TFLOPS)
    • NA
    • FB32 (TFLOPS)
    • 37.4
    • AI Performance (INT8)TOPS
    • 150

Model

A100

    • Memory
    • 40 GB HBM2e
    • Memory Bandwidth(GB/s)
    • 1,555
    • Power (W)
    • 250
    • Interconnect Bandwidth(GB/s)
    • 64
    • FB64 (TFLOPS)
    • 9.7
    • FB32 (TFLOPS)
    • 19.5
    • AI Performance (INT8)TOPS
    • 624

Model

L4

    • Memory
    • 24 GB GDDR6
    • Memory Bandwidth(GB/s)
    • 300
    • Power (W)
    • 72
    • Interconnect Bandwidth(GB/s)
    • 64
    • FB64 (TFLOPS)
    • NA
    • FB32 (TFLOPS)
    • 30
    • AI Performance (INT8)TOPS
    • 147

Model

L40s

    • Memory
    • 48 GB GDDR6
    • Memory Bandwidth(GB/s)
    • 864
    • Power (W)
    • 350
    • Interconnect Bandwidth(GB/s)
    • 64
    • FB64 (TFLOPS)
    • NA
    • FB32 (TFLOPS)
    • 91.6
    • AI Performance (INT8)TOPS
    • 733

Don't see what you're looking for?

Get Started with AI Infrastructure in 3 Easy Steps

1. Select Your Hardware

Choose GPUs, CPUs, memory, and storage specifically tailored to your AI workload requirements.

2. Rapid Deployment

Experience servers provisioning instantly for standard configurations or within hours.

3. Accelerate Performance

With dedicated resources, immediately boost your training, inference, and data analytics processes.

Custom Server Request

Why Choose RedSwitches for Your AI Workloads?

Superior GPU Performance

Superior GPU Performance

Powerful, dedicated GPUs ensure faster model training and inference.

Instant Scalability

Instant Scalability

Effortlessly scale server resources to match your evolving needs.

Global Infrastructure

Global Infrastructure

Access our 20+ strategically placed data centers worldwide for ultra-low latency.

Advanced Security

Comprehensive security to protect sensitive data and proprietary models.

Transparent Pricing

Transparent Pricing

Clear, straightforward pricing without hidden fees or unpredictable costs.

Specialized AI Infrastructure Support

Specialized AI Infrastructure Support

Dedicated support team with AI infrastructure expertise available 24/7 to optimize your workloads.

Perfect for High-Demand AI Applications

Deep Learning & Neural Networks

Significantly reduce training times and enhance accuracy.

Real-Time AI Inference

Ensure ultra-low latency and high throughput for instant analytics.

Big Data & Predictive Analytics

Process massive datasets swiftly and efficiently.

AI Research & Development

AI Research & Development

Accelerate innovation and prototype testing cycles.

Autonomous Systems & Robotics

Power mission-critical decisions with real-time processing and edge-level compute reliability.

Natural Language Processing (NLP)

Handle complex language models and multilingual datasets with ease and speed.

Dedicated AI Servers vs. Cloud Infrastructure

Feature Cloud AI Hosting RedSwitches Dedicated AI Servers
GPU Resources Shared resources, unpredictable performance Dedicated, guaranteed GPU resources
Performance Variable performance due to shared environment High performance with dedicated hardware
Latency Variable latency, resource bottlenecks Consistent, ultra-low latency
Scalability Limited customization, restricted scaling Instant, customized upgrades
Data Security Higher risk with shared infrastructure Advanced security, compliance-ready
Pricing Fluctuating and often unpredictable Transparent, predictable costs

Frequently Asked Questions

A dedicated AI server is a computing system specifically designed to handle the intensive computational requirements of artificial intelligence tasks. Unlike traditional servers, these are equipped with advanced hardware components such as high-performance GPUs and CPUs to efficiently process complex AI workloads.

Dedicated AI servers offer enhanced performance, security, and control over your AI workloads. They provide consistent computational power without the variability often encountered in shared cloud environments, making them ideal for applications requiring high reliability and low latency.

Key hardware components for an AI server include:

  • GPUs: Essential for parallel processing tasks in machine learning and deep learning.
  • CPUs: High-performance processors to manage various computational tasks.
  • Memory (RAM): Adequate RAM to handle large datasets and models.
  • Storage: High-speed SSDs for quick data access and retrieval.

Networking: High-bandwidth network interfaces for efficient data transfer.

Yes, most providers offer customizable configurations, allowing you to select the appropriate GPUs, CPUs, memory, and storage to match your specific AI workload requirements.

GPUs are designed for parallel processing, which is crucial for AI tasks such as training deep neural networks. They can perform multiple operations simultaneously, significantly reducing the time required for complex computations compared to traditional CPUs.

Dedicated AI servers typically include advanced security features such as firewalls, encryption, and secure access controls to protect sensitive data and AI models. Having a dedicated server also reduces exposure to vulnerabilities associated with shared environments.

Yes, dedicated AI servers are designed to be scalable. You can upgrade hardware components or add additional servers to accommodate growing computational needs as your AI projects expand.

Applications such as machine learning model training, deep learning, natural language processing, computer vision, and large-scale data analytics benefit significantly from the enhanced computational power of dedicated AI servers.

Liquid cooling efficiently dissipates the substantial heat generated by high-performance AI servers, maintaining optimal operating temperatures. This leads to improved performance, energy efficiency, and hardware longevity. 

Our dedicated technical support team offers managed services, including server setup, maintenance, monitoring, and technical support, allowing you to focus on your AI development without the complexities of server management.

RedSwitches offers the latest NVIDIA Tesla L40S, L4, and A100 GPUs with various memory configurations to match your specific AI workload requirements.

Get in touch today!

Get in touch today!