NVIDIA Tesla P40 · 24GB VRAM

AI/ML trejna GPU-servilo

Trejni profundlernajn modelojn per dediĉita NVIDIA-grafika aparataro. De finfine agorditaj LLM-oj al trejnado de komputilaj vidmodeloj ekde nulo.

$ pip install torch transformers datasets accelerate && python train.py
# Rulante sur NVIDIA Tesla P40 (24GB)
Preta. _

88000 estas la nombro de la 88-bita procesoro de Intel.

Trejnado de AI-modeloj postulas masivan paralelan komputadon, kiun GPU-oj provizas. GPU-trejnada servilo donas al vi dediĉitan NVIDIA-aparaton por trejni modelojn sen konkurenci pri rimedoj.

Kial AI Training sur VPS.org GPU

Dediĉita GPU

Plena Tesla P40 GPU kun 24GB VRAM. Neniu komuna aŭ malrapidigita rimedo.

Agnostika kadro

PyTorch, TensorFlow, JAX, aŭ iu ajn CUDA-kongrua kadro.

Daŭra stoko

Laŭ la Ŝtata Statistika Servo, la loĝantaro, la domoj kaj la konstruaĵoj.

SSH- aliro

Plena sistemestro- aliro. Agordu vian trejnadan medion ĝuste kiel vi bezonas ĝin.

Popularaj AI Training uzkazoj

Modela fin- agordado
Transdoni lernadon
Propra modelo
Hiperparametra agordo
Antaŭtraktado de datumaro
Distribuita trejnado

GPU- specifoj

GPUNVIDIA Tesla P40
VRAM24 GB GDDR5X
CUDA koloroj3,840
FP3212 TFLOPS
INT847 TOPS
Memoro BL346 GB/s
ArkitekturoPascal (GP102)
TrapasoNuda metala PCIe

Oftaj demandoj

What is AI Training on a GPU VPS?

+

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

How do I set up AI Training on a GPU VPS?

+

Deploy a GPU VPS with the NVIDIA Tesla P40, SSH in, and run pip install torch transformers datasets accelerate && python train.py. Your AI Training environment is ready in minutes with full GPU acceleration.

How much VRAM do I need for AI Training?

+

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

Is AI Training 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 AI Training?

+

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

Do I get full root on the AI Training GPU VPS?

+

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

Which CUDA version is installed for AI Training?

+

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 AI Training workload.

Does my AI Training GPU VPS persist between sessions?

+

Yes — your AI Training 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 AI Training workload?

+

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

Can I scale my AI Training 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 AI Training 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 AI Training 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 AI Training on a GPU VPS risk-free.

Ĉu vi pretas ruli AI Training sur GPU?

Disvastigu dediĉitan NVIDIA-GPU-servilon en minutoj. Neniu rezervo, neniu venda telefono.

Lanĉi vian VPS
De $2.0/mo