Server pentru Deep Learning |Gestionat & Preț Avantajos ⋆ ALexHost SRL
Background Image

Server pentru Deep Learning

Power up your AI with blazing-fast servers built for deep learning.

Ghid de Utilizare

Caracteristici principale

GPU Icon

De înaltă performanță RTX 4070 Ti SUPER

Payments Icon

Plăți flexibile

CPU Icon

Procesoare multi-core

LLM Icon

Formare mai rapidă pentru modele lingvistice mari (LLM)

Server
Server

2x RTX 4070 Ti SUPER OS: Ubuntu 22.04 + LLM Ubuntu

CPU (nuclee) i9-7900x (x10)
Spatiu pe disc 1 TB NVMe
RAM 64GB DDR4
Viteza 1 GBps
Memorie GPU 32GB
IP 1 IPv4/IPv6

94.5€

1 săpt.
1 lună
Comandă acum
Server
Server

2x RTX 4070 Ti SUPER OS: Ubuntu 22.04 + LLM Ubuntu

CPU (nuclee) Ryzen™ 9 3950X (x16)
Spatiu pe disc 1 TB NVMe
RAM 64GB DDR4
Viteza 1 Gbps
Memorie GPU 32GB
IP 1 IPv4/IPv6

94.5€

1 săpt.
1 lună
Comandă acum
Server

Conceput pentru AI și sarcini de lucru cu calcul intensiv

AI Training Icon AI Training Icon

Formare AI

Cu mii de nuclee de procesare, GPU-ul alimentat de două plăci 4070 Ti poate executa numeroase operații matriceale și calcule în paralel. Acest lucru accelerează în mod semnificativ sarcinile de instruire AI în comparație cu procesoarele tradiționale.

Deep Learning Icon Deep Learning Icon

Învățare profundă

GPU-urile gestionează eficient cerințele intense de calcul ale rețelelor neuronale profunde și ale rețelelor neuronale recurente, care sunt esențiale pentru dezvoltarea unor modele sofisticate de învățare profundă, inclusiv a AI generative.

HPC Icon HPC Icon

Calcul de înaltă performanță

Performanța GPU superioară, în special cu cei 16 GB de memorie GDDR6X și cele 7.680 de nuclee CUDA ale modelului dual 4070 Ti, este ideală pentru sarcini de lucru intensive, inclusiv algoritmi de programare dinamică, randare video și simulări științifice.

Data Analytics Icon Data Analytics Icon

Analiza datelor

GPU-urile oferă lățime de bandă mare de memorie și capacități eficiente de transfer de date, îmbunătățind procesarea și manipularea seturilor mari de date pentru o analiză mai rapidă. Viteza de 21 Gbps a memoriei și arhitectura avansată a 4070 Ti reduc blocajele de date, accelerând volumele de lucru.

Setup Image Setup Image

Alegeți-vă configurația: AI, UI și acces la distanță

  • Oobabooga Icon Oobabooga Text Gen UI
  • PyTorch Icon PyTorch (CUDA 12.4 + cuDNN)
  • SD WebUI Icon SD Webui A1111
  • Ubuntu Icon Ubuntu 22.04 VM
GNOME Desktop + RDP XFCE Desktop + RDP KDE Plasma Desktop + RDP
Info Icon De asemenea: La cerere, putem instala orice sistem de operare
Server

Specificații

Performanță relativă

GeForce RTX 4070 Ti SUPER
100%
GeForce RTX 3080 Ti
96%
Radeon RX 7700 XT
71%
GeForce RTX 2080 Ti
63%
GeForce RTX 2060
38%
16 GB GDDR6X
Memorie
Up to 2,610 MHz
Creșterea vitezei ceasului

Lățime de bandă de memorie

Rating Rating
285W
TDP (Putere de proiectare termică)
2,360 MHz
Viteza de bază a ceasului:
8,448
Cores
AD103
Arhitectura GPU
Inginer Repararea serverului Inginer Repararea serverului

Server for Deep Learning: Maximize Your AI Training with AlexHost

The advancement of artificial intelligence heavily depends on the infrastructure that powers training and inference. Whether you're developing transformer-based models, building advanced convolutional neural networks, or working on reinforcement learning projects, choosing the right server for deep learning is a fundamental step toward success.

At AlexHost, we offer enterprise-grade

Bare-metal servers engineered specifically to handle the intensive compute and memory demands of deep learning workloads. From cutting-edge NVIDIA GPU configurations to ultra-fast NVMe storage and high-throughput network access, our infrastructure is designed to eliminate bottlenecks and deliver unmatched performance, stability, and control Server

Inginer Repararea serverului Inginer Repararea serverului

By selecting a deep learning server from AlexHost, you unlock the
full potential of your machine learning workflow:

1
Reduce training times from weeks to hours with powerful multi-GPU configurations
2
Scale your experiments seamlessly as your dataset or model grows
3
Avoid cloud-based vendor lock-in and unpredictable usage fees
4
Maintain full root access and environment flexibility (Python, CUDA, TensorFlow, PyTorch, JAX, etc.)

Our server with GPU for deep
learning options
are tailored for

Researchers
Researchers
Data Scientists
Data Scientists
AI Developers
AI Developers
Startups
Startups

And clients that demand reliable, transparent, and high-performance compute

Whether you need a single-node system with a powerful RTX GPU or a multi-GPU powerhouse loaded with A100s or H100s, AlexHost provides scalable solutions at highly competitive pricing.

GPU Server for Deep Learning: Speed Up Your AI Model Training

A GPU server for deep learning is designed to handle parallel computation tasks far beyond the capability of traditional CPUs. AlexHost offers high-performance GPU servers powered by the latest NVIDIA architectures, capable of managing complex operations such as matrix multiplications, tensor computations, and large-scale model training.

Our data center in Moldova ensures low-latency connectivity across Europe and beyond, while our custom configurations allow clients to select exactly the specs they need — from single-GPU setups to multi-GPU beasts, ready for deep learning at scale.

Why Choose a Server with GPU for Deep Learning?

A server with GPU for deep learning is essential for training models that require large datasets, high-resolution input (such as images or video), or complex architectures like transformers and CNNs. AlexHost servers offer:

NVIDIA-powered acceleration
A100, H100, or RTX-series cards
Dedicated resources
Not shared with other clients
Custom OS installations
Docker, Jupyter, and support for all major ML frameworks (TensorFlow, PyTorch, etc.)
NVMe storage
For faster read/write operations during training and validation
High-bandwidth ports
(up to 10 Gbps) for ultra-fast data processing
Server

Use Cases for Deep Learning Servers at AlexHost

Our infrastructure is designed for real-world AI applications across a wide range of industries:

Use Case Image
1

Image Recognition & Classification:

Medical imaging, industrial defect detection, security systems

2

Natural Language Processing (NLP):

Chatbots, translation systems, and text summarization

3

Speech Recognition:

Voice command systems, transcription tools, and audio analytics

4

Generative AI & LLMs:

Fine-tuning large language models and generative networks (GANs)

5

Autonomous Systems:

Robotics, drones, and smart transportation solutions

Server

Întrebări frecvente (FAQ)

What is an AI GPU Server?
A server with GPU for deep learning is a specialized hosting solution equipped with powerful graphics processors designed to handle intensive AI workloads. Unlike traditional CPU servers, these systems are built for parallel data processing, ideal for training and deploying machine learning models.
What is a NVIDIA GPU server for deep learning?
A NVIDIA GPU server leverages NVIDIA's advanced GPU technologies (such as A100, H100, and RTX series) to dramatically reduce training times. At AlexHost, we offer customizable NVIDIA GPU servers tailored to your workload size and performance needs, delivering stable power for your AI operations.
Can I rent deep learning server infrastructure from AlexHost?
Absolutely! You can rent deep learning server solutions directly through our website. AlexHost offers flexible plans — including hourly, monthly, or long-term rentals — allowing you to optimize costs without compromising on power. Each rental includes full root access and optional software pre-installation.
Why choose AlexHost for a NVIDIA GPU server for deep learning?
AlexHost stands out with high-performance hardware, 24/7 technical support, and complete control over your environment. Whether you need a NVIDIA GPU server for quick experiments or long-term training pipelines, our infrastructure ensures minimal latency, maximum uptime, and consistent performance for even the most demanding AI tasks.