The card is yours, whole
It is a physical RTX 3050 in a PCIe slot, and your operating system sees it directly in nvidia-smi. No virtual GPU, no time-slicing, no neighbour sharing its memory.
GPU dedicated server · Bucharest, EU
Not a slice of somebody else's card, and no meter running by the hour. An Intel Core i5-9500 desktop with an NVIDIA GeForce RTX 3050 6GB fitted inside, 32 GB of memory and a 256 GB NVMe SSD, on an unmetered 1 Gbps port in our Bucharest datacenter. Root access, your own operating system, online about 30 minutes after your order is approved.
Why it costs less
Most GPU servers are priced around cards that draw ten times the power. This one is built around the card instead.
It is a physical RTX 3050 in a PCIe slot, and your operating system sees it directly in nvidia-smi. No virtual GPU, no time-slicing, no neighbour sharing its memory.
The RTX 3050 draws 70 W. It runs happily in a desktop, so you do not pay for the 2U chassis, twin power supplies and heavy cooling that make up much of a big GPU server's price.
A job that keeps the card busy around the clock costs the same as one that leaves it idle, and nothing counts the traffic leaving the 1 Gbps port. The bill is the same every month.
What it runs
Six gigabytes hold an 8-billion-parameter language model quantised to 4 bits, with room left for its context. Serve it with Ollama or llama.cpp behind your own API key, or transcribe audio with Whisper large-v3 on the card.
Llama 3.1 8B at 4-bit: 4.92 GB of weightsThe card's 6 GB GDDR6 sits beside a 7th-generation NVENC encoder and a 5th-generation NVDEC decoder, so H.264 and HEVC encoding happens in hardware and leaves the processor free. Streams leaving the unmetered port cost nothing extra.
Up to 8 encode sessions at once on driver 550.54.14 or laterWindows is on the order form, so the machine can be a desktop you reach from anywhere: Blender renders on CUDA or OptiX, and design tools get hardware acceleration instead of a software renderer.
2,304 CUDA cores, 1.47 GHz boostWrite and test kernels, build containers with the NVIDIA Container Toolkit and run GPU tests on every commit, on the same Ampere generation as the A100. Rent the big card only when the code is ready for it.
Ampere architecture, 3rd-generation Tensor coresBefore you order
Six gigabytes run an 8B model; they do not fine-tune one in full, and a 13B model at 4-bit (7.87 GB) does not fit. For 24 GB see our RTX 30 series servers, and every card we fit is on the GPU servers page.
The 256 GB NVMe SSD holds the system and your data. Keep copies elsewhere, or add the nightly backup offered on the order form.
A desktop board has no IPMI or iLO. Power-on is remote; if the operating system freezes, our staff in Bucharest reset it for you.
Every one of these desktops is racked in Bucharest, in the EU. For other cities, pick a GPU server from the full list.
Full specifications
| Part | Specification |
|---|---|
| Graphics card | NVIDIA GeForce RTX 3050 6GB |
| GPU memory | 6 GB GDDR6, 96-bit bus |
| CUDA cores | 2,304 at up to 1.47 GHz |
| Video engines | NVENC 7th generation, NVDEC 5th generation |
| Card power | 70 W |
| Processor | Intel Core i5-9500, 6 cores, 3.0 GHz base, 4.4 GHz turbo, 9 MB cache |
| Memory | 32 GB DDR4 |
| Storage | 256 GB NVMe SSD |
| Network | 1 Gbps port, unmetered, one IPv4 address |
| Datacenter | Bucharest, EU |
| Price | €82.29 a month |
Card figures from NVIDIA's published RTX 3050 specifications (6 GB model); processor figures from Intel's product page for the Core i5-9500. Price, memory, storage, network and city are read from our order catalogue, the same one that bills you.
Questions
Yes. The whole machine is yours: the NVIDIA GeForce RTX 3050 6GB sits in its PCIe slot and is passed to your operating system with nothing in between. No other customer shares the card, its memory or the processor.
€82.29 a month covers the processor, the graphics card, 32 GB of memory, the 256 GB NVMe SSD, one IPv4 address, an unmetered 1 Gbps port and basic support. A Windows licence, extra addresses, backups and faster support are optional and priced on the order form.
Yes, for inference at the 7 to 8 billion parameter size: an 8B model quantised to 4 bits needs about 5 GB, which leaves room for its context. Models of 13B parameters and up need more memory than 6 GB, even at 4-bit.
The order form lists the systems for this machine: Linux distributions such as Ubuntu, Debian and AlmaLinux, Proxmox VE, and Windows. You get root or administrator access and install NVIDIA's driver and CUDA as on any computer.
These desktops are already racked, so a machine is online about 30 minutes after your order is approved. The login details appear in your dashboard.
Yes. The port runs at 1 Gbps and nothing counts the traffic in or out, so streaming, model downloads and backups cost the same as an idle month.
An RTX 3050, an Intel Core i5-9500 and 32 GB of memory, racked in Bucharest and online about 30 minutes after approval.