Building Smarter Hosting Solutions: The Power Trio
March 21, 2025
AI Compute H100
With InfiniBand
€ 18.350,00 /mo
Top Features
GPU: 8 × Nvidia H100
CPU: 2 × Intel Xeon 8480+
RAM: 2 TB DDR4
Storage: 8 × 3.84 TB NVMe
Networking: 2 × 100Gbit/s Ethernet
InfiniBand: IB 3.2 Tbit/s
Technical Support: 24/7 Priority
AI Compute H100
Without InfiniBand
€ 18.000,00 /mo
Top Features
GPU: 8 × Nvidia H100
CPU: 2 × Intel Xeon 8480+
RAM: 2 TB DDR4
Storage: 8 × 3.84 TB NVMe
Networking: 2 × 100Gbit/s Ethernet
InfiniBand: Not Included
Technical Support: 24/7 Priority
Recommended
AI Compute A100
With InfiniBand
€ 12.350,00 /mo
Top Features
GPU: 8 × Nvidia A100 80GB
CPU: 2 × Intel Xeon 8468
RAM: 2 TB DDR4
Storage: 8 × 3.84 TB NVMe
Networking: 2 × 100Gbit/s Ethernet
InfiniBand: IB 800 Gbit/s
Technical Support: 16 hours
AI Compute A100
Without InfiniBand
€ 12.000,00 /mo
Top Features
GPU: 8 × Nvidia A100 80GB
CPU: 2 × Intel Xeon 8468
RAM: 2 TB DDR4
Storage: 8 × 3.84 TB NVMe
Networking: 2 × 100Gbit/s Ethernet
InfiniBand: Not Included
Technical Support: 16 hours
Popular Server
This server manages all the other servers in the cluster. With full SSH access, you can directly manage the infrastructure and run your models.
M2000 or Bow-2000 Server
This server performs calculations during model training but is not directly accessible to you. Instead, it receives commands from the Poplar server. Please note that the availability of this server type may vary by location.
vIPU Controller
The virtual Intelligence Processing Unit (vIPU) service configures M2000/Bow-2000 servers to form a cluster. It plays a role during cluster creation and reconfiguration (e.g., resizing partitions). You can access the vIPU controller via API to manage and rebuild the cluster as needed.
Luxembourg AI Infrastructure
This high-security EU data center features H100 and A100 GPUs, along with InfiniBand support and ultra-low latency. As a result, it’s an ideal choice for compliant, high-performance AI workloads that demand speed and reliability.
Helsinki AI Infrastructure
This eco-friendly site runs on renewable energy and is specifically optimized for high-density GPU compute. Additionally, it offers optional ultra-fast InfiniBand networking for enhanced performance.
Data Analytics
GPUs offer high memory bandwidth and efficient data transfer capabilities, which significantly boost large-scale data processing and manipulation. As a result, data analytics becomes faster and more efficient.
High-Performance
Thanks to their superior performance, GPUs are ideal for compute-intensive tasks such as dynamic programming algorithms, video rendering, and scientific simulations. In particular, they excel at handling workloads that demand high processing power.
Deep Learning
Deep learning GPUs are well-suited to handle the high processing demands of deep neural networks and recurrent neural networks. These demands are critical for building complex deep learning models, especially those used in generative AI.
AI Training
AI training GPUs excel at handling numerous matrix operations and computations simultaneously, thanks to their thousands of processing cores. Moreover, their powerful parallel processing capabilities allow them to complete AI training tasks much faster than traditional CPUs.
What is an AI infrastructure?
Can AI be used for DDoS attacks?
What is AI cloud infrastructure?
What are the 4 types of AI technology?
What are the 5 components of AI?
Is AI bad for cybersecurity?
Can a VPN protect you from DDoS?
Who benefits from AI infrastructure?
What do AI infrastructure engineers do?
What does AI infrastructure do?
What is an AI infrastructure?
The entire collection of hardware and software elements created especially to facilitate the creation, training, and implementation of AI and machine learning models is referred to as AI infrastructure. High-performance computing tools like potent GPUs (Graphics Processing Units) and specialised AI accelerators are usually part of this, as are reliable storage options for large datasets and fast networking to manage demanding data transfers.
In addition to hardware, AI infrastructure also includes the software stack, which includes libraries, operating systems, AI frameworks and orchestration tools (such as Kubernetes for container management). The fundamental infrastructure required to create and manage complex AI workloads is provided by HostingB2B, guaranteeing your projects’ optimum performance and scalability.
Can AI be used for DDoS attacks?
It is true that Distributed Denial of Service (DDoS) attacks can be made more sophisticated and effective by utilizing machine learning and artificial intelligence techniques. Malicious actors can use AI to automate attack launch, analyze network vulnerabilities, and dynamically modify attack vectors to get around conventional security measures. AI might, for instance, recognize patterns in network traffic to imitate the actions of real users, making the attack more difficult to detect.
On the other hand, AI plays a vital role in protecting against DDoS attacks. The speed and accuracy of defense can be greatly increased by using machine learning algorithms, which can analyze network traffic in real-time, identify unusual patterns suggestive of an attack, and automatically initiate mitigation strategies. AI-driven threat detection is one of the advanced security measures used by HostingB2B to shield your infrastructure from such sophisticated attacks
What is AI cloud infrastructure?
A computing environment created especially for AI workloads and hosted and provided as a service via the internet by a cloud provider is known as AI cloud infrastructure. Through a cloud platform, businesses can access scalable and on-demand resources like GPUs, specialized AI accelerators, and high-performance storage instead of investing in and maintaining their own costly hardware.
Scalability, cost-effectiveness (you only pay for what you use), and accessibility from any location are just a few of the many benefits that come with this model. Businesses in Cyprus, Malta, the United Arab Emirates, Curaçao, the Netherlands, the United States, Brazil, and the United Kingdom can utilize strong AI cloud infrastructure with HostingB2B’s Cloud Hosting services without having to make large upfront investments.
What are the 4 types of AI technology?
Although artificial intelligence is a vast field, it can generally be divided into four main categories according to its complexity and capabilities:
- The simplest type of artificial intelligence are reactive machines, which can carry out particular tasks and react to particular stimuli but lack memory and the capacity to learn from prior experiences.
- AI with limited memory is capable of making decisions based on data or prior experiences, but its memory is only temporary. This includes the majority of AI systems in use today, such as those found in self-driving cars.
- Theory of Mind AI: This cutting-edge idea of AI would be able to comprehend other people’s feelings, convictions, and goals, facilitating more complex social interactions. This kind is still mostly theoretical and will likely be developed in the future.
- Self-Aware AI: This is the most advanced form of AI, in which machines are sentient and conscious of themselves. This is still up for debate in science and philosophy and is purely hypothetical at the moment.
What are the 5 components of AI?
Although AI systems can take many different forms, they typically consist of five essential elements that cooperate to produce intelligent behavior:
- Data: The cornerstone, AI systems need enormous volumes of high-quality data (text, photos, audio, etc.) in order to be trained and make defensible decisions.
- Computational processes and guidelines known as algorithms are what the AI uses to process information, identify trends, learn, and come to conclusions.
- Powerful GPUs and specialised processors are frequently used for training and inference in artificial intelligence (AI), particularly machine learning and deep learning, which require substantial computational resources.
- Memory/Storage: To ensure that the AI can access large datasets, trained models, and intermediate processing results quickly, effective storage systems are required.
- Interaction with the AI system is made possible by the user interface/application layer, which also lets users integrate AI features into larger applications and input and receive data. The strong infrastructure that HostingB2B offers can accommodate your AI components’ demands for memory, processing power, and storage.
Is AI bad for cybersecurity?
AI is not intrinsically “bad” for cybersecurity; rather, its effects vary depending on how it is applied. As was mentioned, malevolent actors may use AI to develop increasingly complex and evasive cyberattacks, decreasing the effectiveness of conventional defences. This includes sophisticated DDoS attacks, malware that changes its environment, and phishing powered by AI.
But AI is also a vital component of contemporary cybersecurity defence. Real-time threat detection, anomaly identification, vulnerability prediction, incident response automation, and security analytics enhancement all depend on AI and machine learning algorithms. AI plays a key role in leading cybersecurity solutions’ ability to stay ahead of changing threats. In order to safeguard client infrastructure, HostingB2B uses AI in its own security protocols.
Can a VPN protect you from DDoS?
By hiding your actual IP address, a virtual private network, or VPN, can provide some limited defence against specific Distributed Denial of Service (DDoS) attacks. Attackers may distribute the attack load by focussing on the VPN server’s IP rather than yours if your IP address is concealed behind it.
However, in general, a typical consumer VPN is not a complete DDoS protection solution, particularly when it comes to sophisticated or large-scale attacks. Service interruption may result from VPNs becoming overloaded. Specialised DDoS protection services are necessary for effective DDoS mitigation, especially for business-critical applications. As part of its infrastructure services, HostingB2B provides sophisticated DDoS protection to protect your online presence.
Who benefits from AI infrastructure?
Strong AI infrastructure has major benefits for a variety of entities. This comprises:
- Businesses: AI infrastructure is used by businesses in every industry to create new goods and services, streamline operations, find insights in large datasets, automate procedures, and improve customer experiences.
- Scholars and Researchers: AI infrastructure gives academic institutions and universities the processing power and resources they need to conduct cutting-edge AI research, experimentation, and complex model training.
- To effectively create, train, and implement machine learning models, analyse data, and iterate on AI solutions, developers and data scientists depend on AI infrastructure.
- Startups: Without having to make significant upfront hardware investments, AI infrastructure—particularly cloud-based options—allows startups to scale their AI-driven applications and innovate quickly. The fundamental infrastructure that enables these varied users to follow their AI goals is supplied by HostingB2B.
What do AI infrastructure engineers do?
The underlying computing systems and platforms that support workloads related to artificial intelligence and machine learning are designed, constructed, optimised, and maintained by specialised professionals known as AI infrastructure engineers. By bridging the gap between hardware and software development, they make sure AI models have the tools they need to be properly trained and implemented.
They usually have to set up and maintain GPU clusters, optimize network performance for data transfer, configure storage solutions for big datasets, deploy and manage AI frameworks, implement containerization and orchestration (like Kubernetes), and make sure the entire AI environment is secure and scalable. Experts in the intricacies of developing and overseeing high-performance AI infrastructure are employed by HostingB2B.
What does AI infrastructure do?
The entire lifecycle of AI development and implementation is made possible by AI infrastructure, which acts as the essential foundation for all AI activities. Its main purpose is to supply the high-performance computing, networking, and storage capabilities needed to manage the incredibly computationally demanding and data-intensive AI processes.
In particular, AI infrastructure
- Trains AI Models: Offers the massive parallel processing power (typically through GPUs) required to train deep learning and complex machine learning models on large datasets.
- Stores and Manages Data: Provides quick and scalable storage options for ingesting, processing, and storing the massive datasets that artificial intelligence requires.
- Uses AI Models: AI models were trained by hosts, allowing them to be incorporated into services and applications for inference and decision-making in real time.
- Encourages Experimentation: Offers data scientists and developers adaptable settings in which to test various models, algorithms, and parameters. The infrastructure of HostingB2B is designed to carry out these essential tasks, supporting your AI projects.
Hosting B2B LTD is a Company registered in Cyprus with Company number HE410139 and VAT CY10410139C
- Stratigou Timagia Avenue 18, Omega Business Center 2nd Floor, 6047, Larnaca/Cyprus
- +357 24 205888
- admin[at]hostingb2b.com
- sales[at]hostingb2b.com
© 2025 All Rights Reserved. HostingB2B
Hosting B2B LTD is a Company registered in Cyprus with Company number HE410139 and VAT CY10410139C
- +357 24 205888
- admin[at]hostingb2b.com
- sales[at]hostingb2b.com
© 2025 All Rights Reserved. HostingB2B
"Their dedication to ensuring customer satisfaction is evident. Its comforting to know that there's an responsive support team available, for assistance. Without hesitation I highly recommend Hosting B2B Cyprus for their service well as the exceptional support offered by George Sarris. Thank you for making our hosting experience a positive one."
"I have used these chaps for about a year now, and their response times and knowledge of their services is really excellent. The most recent time I needed to contact them was around adding in a temporary server just for a few days - they were so helpful and quick to respond. Just what I wish so many other companies would do (take note, AWS!!!)"
"Great company! It was especially pleasant to work services sales, who made every effort to get everything we needed on time and get a positive result in the end. Not everything went smoothly at the beginning, but Marina S. did her best to solve the initial problems. After a few months, I can say that I'm definitely satisfied."