NVIDIA Tesla P40 · 24GB VRAM

ディープ・ラーニング

専用のNVIDIA GPUハードウェアでニューラルネットワークを訓練します。CNN、トランスフォーマー、GAN、および全てのディープ・ラーニング・アーキテクチャを完全なCUDAサポートで実行します。

$ pip install torch torchvision && python -c "import torch; print(torch.cuda.is_available())"
# NVIDIA Tesla P40 (24GB) で実行中
準備完了 _

GPU VPS 上の Deep Learning は何ですか?

ディープ学習は,適切な時間内にニューラルネットワークを訓練するためにGPU加速を必要とする。

VPS.org GPU 上で Deep Learning を使用する理由

任意のフレームワーク

PyTorch、TensorFlow、JAX、MXNet、または任意のCUDAフレームワーク。

速い反復

専用GPUは再現性のある研究のための一貫した訓練速度を意味する。

大型モデル

24GBのVRAMは,大型アーキテクチャやバッチサイズの訓練をサポートする。

24時間対応

間断なく長い訓練ジョブを実行します。

よく使われる Deep Learning ユースケース

CNNトレーニング
変圧器のモデル
GAN訓練
強化学習
AutoML実験
ニューラルアーキテクチャ検索

グラフィックプロセッサの仕様

グラフィックプロセッサNVIDIA Tesla P40
仮想メモリ24 GB GDDR5X
CUDA コア3,840
FP3212 TFLOPS
INT847 TOPS
メモリBW346 GB/s
建築Pascal (GP102)
パッススルーバーメタルPCIe

よくある質問

What is Deep Learning on a GPU VPS?

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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?

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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?

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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?

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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 Deep Learning?

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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 Deep Learning.

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

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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?

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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 Deep Learning workload.

Does my Deep Learning GPU VPS persist between sessions?

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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?

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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?

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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 Deep Learning 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 Deep Learning 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 Deep Learning on a GPU VPS risk-free.

GPU 上で Deep Learning を実行しますか?

専用 NVIDIA GPU サーバを数分で展開します。予約もセールスコールもありません。

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