GPU Hosting for AI, ML, DL & LLMs

What is hosting with GPU?



GPU hosting is a hosting for servers packed with graphics cards, designed to harness this raw processing power. Using an offloading process, the CPU can hand specific tasks to the GPUs, increasing performance.

What is GPU Dedicated Server?



A GPU dedicated server is a physical server dedicated to a user or organization and equipped with one or more GPUs (graphics processing units). These servers are usually used for high-performance computing tasks that require a lot of parallel processing capabilities, such as scientific simulation, machine learning, and video rendering.
Compared with CPU-based servers, GPU servers are usually much faster for tasks that can be processed in parallel across multiple cores. This is because GPUs have much more cores than CPUs, which makes them very suitable for decomposing into many small computing tasks that can be executed at the same time. GPU dedicated servers can be purchased or leased from various hosting providers. They differ in GPU type, GPU quantity, available memory and storage. These servers can be managed remotely, allowing users to access their computing resources from anywhere through Internet connections.

What is dedicated server with GPU Rental?



A dedicated server with GPU rental is a service offered by hosting providers that allows users to rent a dedicated physical server equipped with one or more GPUs (graphics processing units) for a specified period of time. This service can be particularly useful for tasks that require high-performance computing resources, such as machine learningientific simulations, and video rendering.
Unlike virtualized GPU instances, dedicated servers with GPU rental offer users full access to the physical hardware, providing more control and customization options. Users can install their own software and configure the server to meet their specific requirements. Additionally, dedicated servers with GPU rental can offer more consistent performance and higher throughput compared to shared resources. When renting a dedicated server with GPU, users can typically choose from a range of specifications, including the type and number of GPUs, the amount of memory and storage, and the processing power of the CPU. The cost of the service will depend on the specifications selected and the duration of the rental.

How do I choose the right GPU instance for my needs?



When choosing a GPU instance, you should consider factors such as the type and complexity of the applications you will be running, the amount of memory and storage you need, and the level of support and customization you require.

Can I use a GPU dedicated server for streaming or running Android emulators?



Yes, a GPU dedicated server can be used for streaming and running Android emulators. By providing improved performance, faster processing, multi-tasking, and customization options, a GPU dedicated server can help you to create a stable and efficient environment for these applications.

What are some common GPUs used in hosting environments?



Some common GPUs used in hosting environments include Nvidia GeForce, Quadro, Tesla, and RTX Server. The specific GPU you choose will depend on your needs and the applications you will be running.

Why put a GPU in a server?



Putting a GPU in a server can significantly increase its computing power, making it capable of handling more complex and demanding tasks. GPUs, or graphics processing units, are highly specialized processors that are designed to handle parallel computing tasks, such as those required for machine learning, scientific simulations, and gaming.
Compared to traditional central processing units (CPUs), GPUs are more efficient at handling compute-intensive workloads because they can perform multiple calculations simultaneously. This is due to the fact that GPUs have many more cores than CPUs, which allows them to process data much faster and in parallel.
By adding a GPU to a server, you can accelerate compute-intensive applications and reduce processing times, leading to improved performance, reduced latency, and increased efficiency. This is particularly important for applications that require real-time processing, such as video rendering, transcoding, and streaming, or for tasks that involve large datasets, such as machine learning and data analytics.

How to get a free trial for GPU server?



We’re excited to offer a 24-hour free trial for new clients to test our servers. To request a trial, please follow these steps:

1. Choose a plan and click 'Order Now'.
2. Enter ‘24-hour free trial’ in the notes section and click “Check Out”.
3. Click 'Submit Trial Request' at the top right corner, and complete your personal information as instructed; no payment is required.

Once we receive your trial request, we’ll send you the login details within 30 minutes to 2 hours. If your request cannot be approved, you will be notified via email.

GPU Hosting for AI, ML, DL & LLMs

Dedicated GPU Servers with 27 Nvidia Graphics Card

Benefits of Using Our GPU Hosting

Cost Savings

Instant Availability

Scalability and Flexibility

Reduced Maintenance

Why Choose Us?

What Do We Use GPU Hosting For?

Machine Learning and AI

Scientific Simulations

Video Rendering and Transcoding

Gaming and Virtual Reality

OBS Streaming

Android Emulators

User Case Studies

FAQs of GPU Dedicated Server Hosting