NVIDIA Tesla P40 · 24GB VRAM

Глыбокае навучанне GPU VPS

Праграмаваньне нейронных сетак на спецыяльных апаратных сродках NVIDIA. CNN, трансфарматары, GAN і любая архітэктура глыбокага навучаньня з поўнай падтрымкай CUDA.

Размясціць сервер GPU Усе опцыі GPU

$ pip install torch torchvision && python -c "import torch; print(torch.cuda.is_available())"
# Працуе на NVIDIA Tesla P40 (24 ГБ)
Гатова. _

1880 год — 88 двароў, 100 жыхароў.

Глыбокае навучанне патрабуе акселерацыі GPU для трэніроўкі нейронных сетак у прымальны час. GPU VPS забяспечвае спецыяльнае абсталяванне NVIDIA для трэніроўкі любой архітэктуры глыбокага навучання без канкурэнцыі па рэсурсах.

VPS.org000

Любая фрэймворк

PyTorch, TensorFlow, JAX, MXNet або любы CUDA-фрэймворк.

Хуткая ітэрацыя

У гістарычным плане гістарычная геаграфія з'яўляецца часткай гісторыі рэлігіі.

Вялікія мадэлі

24 лютага 1999 года быў абраны старшынёй Беларускага саюза архітэктараў і будаўнікоў.

Даступнасць 24/ 7

Выканаць доўгія трэніровачныя заданні без перапынку.

Папулярныя выпадкі выкарыстання Deep Learning

Праграма CNN

Модэль трансфарматара

Праграма для навучання GANName

Падмацаванне навучання

Эксперыменты AutoML

Пошук у нейроннай архітэктуры

Размясціць сервер GPU

Спецыфікацыі GPU

Графічны працэсарNVIDIA Tesla P40

ВРАМ24 GB GDDR5X

Колеры CUDA3,840

FP3212 TFLOPS

INT847 TOPS

Памяць346 GB/s

АрхітэктураPascal (GP102)

Прапускная здольнасцьPCIe з адкрытым металам

Часта задаваемыя пытанні

What is Deep Learning on a GPU VPS?

Deep Learning on a GPU VPS is a CUDA-accelerated deployment. Deep Learning is a general GPU-accelerated workload. Make sure your software has CUDA support and that your driver / runtime versions match the workload requirements for Deep Learning.

How do I set up Deep Learning on a GPU VPS?

Deploy a GPU VPS with the NVIDIA Tesla P40, SSH in, and run pip install torch torchvision && python -c "import torch; print(torch.cuda.is_available())". Your Deep Learning environment is ready in minutes with full GPU acceleration.

How much VRAM do I need for Deep Learning?

Our GPU VPS ships with 24 GB GDDR5X VRAM on the NVIDIA Tesla P40, which is sufficient for most Deep Learning workloads. Multi-GPU configurations are available on request.

Is Deep Learning GPU VPS billed hourly or monthly?

GPU VPS plans are billed monthly with no lock-in contracts and can be cancelled anytime. Contact us for current GPU pricing tiers.

Can I run other tools alongside Deep Learning?

Yes — you have full root on the GPU VPS. Run whatever fits inside the 24 GB VRAM and the available RAM / storage budget alongside Deep Learning.

Do I get full root on the Deep Learning GPU VPS?

Yes. Full root SSH on every GPU VPS — install drivers, swap CUDA versions, customize the environment for Deep Learning however you need.

Which CUDA version is installed for Deep Learning?

GPU VPSs ship with a recent CUDA runtime and the matching NVIDIA driver pre-installed. You can pin or upgrade CUDA versions as required by your Deep Learning workload.

Does my Deep Learning GPU VPS persist between sessions?

Yes — your Deep Learning GPU VPS is a long-running persistent server, not an ephemeral instance. Models, configs, and data stay on the SSD between sessions.

Where should I store data for my Deep Learning workload?

Keep working data on the VPS SSD for fast access during Deep Learning runs; back up finished artifacts (weights, generations, embeddings) off-server via snapshots or object storage for safety.

Can I scale my Deep Learning GPU VPS later?

Yes — plan upgrades are instant from your control panel; the GPU itself can be swapped to a larger tier on request. Your Deep Learning install carries over.

Are backups available for my GPU VPS?

Yes. Automated daily backups are an add-on; manual snapshots are free. Useful for long Deep Learning training runs where you want a checkpointable server state.

Is there a money-back guarantee on the GPU VPS?

Yes — 30-day money-back guarantee on every plan including GPU. Try Deep Learning on a GPU VPS risk-free.