NVIDIA Tesla P40 · 24GB VRAM

CUDA Ontwikkeling GPU VPS

Ontwikkelen en testen CUDA-toepassingen op dedicated NVIDIA GPU hardware. Volledige CUDA Toolkit, cuDNN, en ontwikkelingstools vooraf geconfigureerd.

$ apt install nvidia-cuda-toolkit && nvcc hello_cuda.cu -o hello_cuda && ./hello_cuda
# Draaien op NVIDIA Tesla P40 (24GB)
Klaar. _

Wat is {naam} op een GPU VPS?

CUDA is het parallelle computerplatform van NVIDIA. Een CUDA ontwikkeling GPU VPS geeft u een speciale GPU omgeving voor het schrijven, testen en benchmarken van GPU-versnelde toepassingen.

Waarom {naam} op VPS.org GPU

CUDA Toolkit

Laatste CUDA compiler (nvc), bibliotheken, en profiling tools.

cuDNN & NCCL

Deep learning en multi-GPU communicatie bibliotheken.

Nachtgereedschappen

GPU profileren en debuggen met NVIDIA Nsight.

Volledige root-toegang

Installeer elke CUDA versie, stuurprogramma, of ontwikkelingshulpmiddel.

Popular CUDA Development Cases gebruiken

CUDA-kernelontwikkeling
Optimalisatie van GPU-algoritmen
Benchmarking van bibliotheken
Academisch onderzoek
Ontwikkeling van HPC-applicaties
GPU computercursussen

GPU Specificaties

GPUNVIDIA Tesla P40
VRAM24 GB GDDR5X
CUDA-kernen3,840
KP3212 TFLOPS
INT847 TOPS
Geheugen BW346 GB/s
ArchitectuurPascal (GP102)
DoorvoerenBare-metal PCIe

Veelgestelde vragen

What is CUDA Development on a GPU VPS?

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

How do I set up CUDA Development on a GPU VPS?

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Deploy a GPU VPS with the NVIDIA Tesla P40, SSH in, and run apt install nvidia-cuda-toolkit && nvcc hello_cuda.cu -o hello_cuda && ./hello_cuda. Your CUDA Development environment is ready in minutes with full GPU acceleration.

How much VRAM do I need for CUDA Development?

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

Is CUDA Development GPU VPS billed hourly or monthly?

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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 CUDA Development?

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

Do I get full root on the CUDA Development GPU VPS?

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

Which CUDA version is installed for CUDA Development?

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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 CUDA Development workload.

Does my CUDA Development GPU VPS persist between sessions?

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Yes — your CUDA Development 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 CUDA Development workload?

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

Can I scale my CUDA Development GPU VPS later?

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

Are backups available for my GPU VPS?

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

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

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

Klaar om CUDA Development op GPU uit te voeren?

Stel een NVIDIA GPU server in in enkele minuten. Geen reserveringen, geen verkoopgesprekken.

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