TR GPU Dedicated - 1
€138.15 / month
- CPU
- Xeon 8 Core 2.6 GHz
- vCPU
- 8 cores
- GPU
- 1× GTX 1080 Ti
- RAM
- 128 GB
- Storage
- 1 TB SSD
- Traffic
- 100 MBit Line
More features
- Port
- 1 GBit
- Location
- Datacasa Data Center
GPU DEDICATED / NVIDIA / DATACASA
Compare GTX 1080 Ti, RTX 2080 Ti and RTX A4000 configurations by CPU, RAM, storage and network.
Five GeForce and four RTX A4000 configurations list their GPU count, processor, storage and monthly price.
€138.15 / month
€273.70 / month
€373.62 / month
€181.60 / month
€303.24 / month
€259.80 / month
€447.48 / month
€499.61 / month
€868.01 / month
A GPU dedicated server reserves its graphics hardware and other physical resources for one customer. GTX 1080 Ti, RTX 2080 Ti and RTX A4000 options are available with one to four GPUs, alongside the CPU, 1 TB storage and network specifications shown on each card.
The CPU handles serial and operating-system work while the GPU runs compatible parallel or graphics tasks. Common use cases include machine learning, video processing, game development, rendering, analytics and high-performance computing.
Five plans contain 1–3 GTX 1080 Ti or 1–2 RTX 2080 Ti GPUs, with the count shown on every card.
Four physical-server plans contain one, two or four RTX A4000 GPUs.
Plans provide 128 GB RAM and 1 TB SSD or NVMe M.2 SSD, with the storage type shown on each card.
All nine plans publish a 100 MBit line and a 1 GBit port. No measured latency is invented.
CUDA or OpenCL-compatible training and inference workloads that support the selected GPU.
Video processing, rendering and graphics jobs that address the installed NVIDIA hardware.
Physical GPU capacity for graphics testing, build processes and remote development.
Data analysis and scientific tasks designed to benefit from GPU parallelism.
A standard dedicated server focuses on CPU, memory and storage workloads. GPU dedicated plans add physical NVIDIA graphics cards for compatible parallel processing, but provide no automatic gain for CPU-only software. Compare framework support, GPU count, host CPU, memory, disk and network demand before selecting a configuration.
GPU dedicated plans are offered at Datacasa data-center locations with a 100 MBit line and a 1 GBit port.
Compare physical servers for workloads that do not require a GPU.
Explore →Review smaller starting tiers based on virtual resources.
Explore →Review the virtual server family focused on Ryzen CPU and NVMe storage.
Explore →Confirm GPU, driver and software compatibility before placing an order.
Explore →Common questions about selection and operation.
It is a physical server with NVIDIA GPU and host resources reserved for one customer.
Plans offer GTX 1080 Ti, RTX 2080 Ti and RTX A4000 options.
Common use cases include machine learning, video processing, game development, analytics and HPC workloads.
GPU plans add graphics hardware for compatible parallel processing; standard servers focus on CPU workloads.
Check driver, framework and selected GPU compatibility for CUDA or OpenCL workloads. Support can help clarify available options.