Fastest And Best GPU SERVERS PROVIDER
Dedicated Server with Tesla K80, Tesla K80 GPU Hosting
Rent the GPU dedicated servers with this Tesla K80 GPU Accelerator for the most demanding computational tasks. With features like dual-GPU design and Dynamic GPU Boost, Tesla K80 is built to deliver superior performance in many HPC applications.
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Alternatives to the Tesla K80 GPU Server
Multiple GPU dedicated servers to choose from to meet your needs.
RTX A4000 Hosting
For professionals. It delivers real-time ray tracing, AI accelerated computing, and high-performance graphics to desktops.
Tesla K40 Hosting
For High-performance computing and large data workloads, such as deep learning and AI reasoning.
RTX A5000 Hosting
Achieve an excellent balance between function, performance, and reliability. Assist designers, engineers, and artists to realize their visions.
How GPU Hosting Works?
GPU hosting provides a flexible and scalable way to access high-performance computing resources without purchasing and maintaining expensive hardware. By renting the access rights of the remote GPU server, you can perform complex calculations, run simulations, and accelerate machine learning, AI algorithms, and other applications.
01.
Select plan, Configure Instance
After selecting a plan, we will configure your server to meet your needs. This may involve selecting the amount of memory, storage, and processing capacity you need, as well as the operating system and software you want to use. A remote connection account will be sent to you by email.
02.
GPU Instance Trial or Pay
GPU Mart will charge you the usage fee of the GPU instance according to the time you use the GPU instance. You can usually choose to pay by month or year. The cost of GPU hosting is related to the resources and payment cycle you choose.
03.
Access Instance
After getting the GPU server, you can access it through a remote desktop connection, a command line interface, and other methods. Then, you can install and run the software, upload data, and perform calculations on the remote GPU server.
04.
Manage Instances
You will be responsible for managing the software and data on the GPU instance, as well as any security or maintenance tasks that may be required. GPU Mart will do its best to provide support and resources to help you manage your instance, but you usually need to be responsible for any customization or configuration you make.
GPU Features in Tesla K80 GPU Hosting Server
Built on the NVIDIA Ampere architecture, the NVIDIA Tesla K80 delivers the power, performance, capabilities, and reliability professionals need to bring their boldest ideas to life.
Enables GPU threads to automatically spawn new threads. By adapting to the data without going back to the GPU, this greatly simplifies parallel programming.
Allows multiple CPU cores to simultaneously use the CUDA cores on a single or multiple Kepler-based GPUs. This dramatically increases GPU utilization, simplifies programming, and slashes CPU idle times.
Integrates the GPU subsystem with the host system’s monitoring and management capabilities, such as IPMI or OEM-proprietary tools. IT staff can now manage the GPU processors in the computing system using widely used cluster/grid management solutions.
Use our hosted Tesla K80 server to accelerates algorithms such as physics solvers, ray tracing, and sparse matrix multiplication where data addresses are not known beforehand.
The GPU card in the hosted Tesla K80 server meets a critical requirement for computing accuracy and reliability in data centers and supercomputing centers. Both external and internal memories are ECC protected in the Tesla K80 and K40.
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.
Turbocharges system performance by transferring data over the PCIe bus while the computing cores are crunching other data.