NVIDIA Tesla P40 · 24GB VRAM

ບໍລິການບັນທຶກ GPU Jupyter

ປະຕິບັດ Jupyter notebooks ດ້ວຍການສະຫນັບສະຫນູນ NVIDIA GPU ສະເພາະ. ວິທະຍາສາດຂໍ້ມູນແບບໂຕ້ຕອບແລະການພັດທະນາ ML ດ້ວຍການເພີ່ມຄວາມໄວ CUDA.

ຕິດຕັ້ງម៉ាស៊ីនបម្រើ GPU ຕົວເລືອກ GPU ທັງໝົດ

$ pip install jupyterlab torch && jupyter lab --ip=0.0.0.0 --allow-root
# ແລ່ນຢູ່ເທິງ NVIDIA Tesla P40 (24GB)
ພ້ອມແລ້ວ _

ຫຍັງຄື {ຊື່} ຢູ່ໃນ GPU VPS?

Jupyter notebooks on a GPU VPS ໃຫ້ທ່ານມີສະພາບແວດລ້ອມການພັດທະນາແບບໂຕ້ຕອບກັບຮາດແວ NVIDIA GPU ທີ່ອຸທິດຕົນ. ສົມບູນແບບ ສຳ ລັບວິທະຍາສາດຂໍ້ມູນ, ການທົດລອງ ML ແລະການສ້າງແບບ ຈຳ ລອງ.

ເຮັດຫຍັງ {ຊື່} ຢູ່ໃນ VPS.org GPU

GPU ໃນໂນດບຸກ

ເຂົ້າເຖິງ CUDA GPUs ໂດຍກົງຈາກເຊລໂນດບຸກ. ຝຶກອົບຮົມແບບຟອມແບບໂຕ້ຕອບ.

JupyterLab

IDE JupyterLab ເຕັມພ້ອມກັບ ສະຖານີ, ຕົວທ່ອງເວັບໄຟລ໌ ແລະ ຕົວຂະຫຍາຍ.

ຕິດຕັ້ງໄອຄອນມາກ່ອນ

PyTorch, TensorFlow, scikit-learn, pandas ແລະອື່ນໆພ້ອມທີ່ຈະໃຊ້

ເຂົ້າເຖິງຈາກចម្ងាយ

ເຂົ້າເຖິງບັນທຶກຂອງທ່ານຈາກເວບໄຊທ໌ໃດໆ, ທຸກບ່ອນ.

ຕົວຢ່າງການໃຊ້ທີ່ນິຍົມ {ຊື່}

ການທົດລອງ ML

ການຄົ້ນຫາຂໍ້ມູນ

ສ້າງແບບແບບຕົ້ນແບບ

ງານຝຶກອົບຮົມດ້ານການສຶກສາ

ບັນທຶກການຄົ້ນຄວ້າ

ການແຂ່ງຂັນ Kaggle

ຕິດຕັ້ງម៉ាស៊ីនបម្រើ GPU

ຄຸນສົມບັດຂອງ GPU

GPUNVIDIA Tesla P40

VRAM24 GB GDDR5X

ពណ៌ CUDA3,840

FP32 12 TFLOPS

INT847 TOPS

ຄວາມຈຳສີຂາວ346 GB/s

ສະຖາປັດຕະຍະກໍາPascal (GP102)

ຜ່ານPCIe ແບບບໍ່ມີໂລຫະ

ຄໍາຖາມທີ່ຖາມເລື້ອຍໆ

What is Jupyter on a GPU VPS?

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

How do I set up Jupyter on a GPU VPS?

Deploy a GPU VPS with the NVIDIA Tesla P40, SSH in, and run pip install jupyterlab torch && jupyter lab --ip=0.0.0.0 --allow-root. Your Jupyter environment is ready in minutes with full GPU acceleration.

How much VRAM do I need for Jupyter?

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

Is Jupyter 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 Jupyter?

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

Do I get full root on the Jupyter GPU VPS?

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

Which CUDA version is installed for Jupyter?

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 Jupyter workload.

Does my Jupyter GPU VPS persist between sessions?

Yes — your Jupyter 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 Jupyter workload?

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

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

ບໍລິການ​ບັນທຶກ​ GPU Jupyter

ຫຍັງຄື {ຊື່} ຢູ່ໃນ GPU VPS?

ເຮັດ​ຫຍັງ {ຊື່} ຢູ່ໃນ VPS.org GPU

GPU ໃນ​ໂນດບຸກ