NVIDIA Tesla P40 · 24GB VRAM

ການຮຽນຮູ້ GPU VPS

ຝຶກອົບຮົມເຄືອຂ່າຍ neuron ໃສ່ຮາດແວ NVIDIA GPU ທີ່ອຸທິດຕົນ. CNNs, transformers, GANs, ແລະສະຖາປັດຕະຍະກໍາການຮຽນຮູ້ເລິກເຊິ່ງໃດໆທີ່ມີການສະຫນັບສະຫນູນ CUDA ເຕັມ.

ຕິດຕັ້ງម៉ាស៊ីនបម្រើ GPU ຕົວເລືອກ GPU ທັງໝົດ

$ pip install torch torchvision && python -c "import torch; print(torch.cuda.is_available())"
# ແລ່ນຢູ່ເທິງ NVIDIA Tesla P40 (24GB)
ພ້ອມແລ້ວ _

ຫຍັງຄື {ຊື່} ຢູ່ໃນ GPU VPS?

ການຮຽນຮູ້ເລິກຮຽກຮ້ອງໃຫ້ມີການເພີ່ມຄວາມໄວຂອງ GPU ເພື່ອຝຶກອົບຮົມເຄືອຂ່າຍ neuron ໃນເວລາທີ່ສົມເຫດສົມຜົນ. GPU VPS ສະຫນອງຮາດແວ NVIDIA ສໍາລັບການຝຶກອົບຮົມສະຖາປັດຕະຍະກໍາການຮຽນຮູ້ເລິກໃດໆໂດຍບໍ່ມີການຕໍ່ສູ້ກັບຊັບພະຍາກອນ.

ເຮັດຫຍັງ {ຊື່} ຢູ່ໃນ VPS.org GPU

ທຸກກອບ

PyTorch, TensorFlow, JAX, MXNet, ຫຼື ກອບ CUDA ໃດໆ.

ການເຮັດຄືນໄວ

GPU ສະເພາະ ໝາຍ ຄວາມວ່າຄວາມໄວໃນການຝຶກອົບຮົມທີ່ສອດຄ່ອງກັບການຄົ້ນຄວ້າທີ່ສາມາດເຮັດໄດ້.

ແບບໃຫຍ່

24GB VRAM ສະຫນັບສະຫນູນການຝຶກອົບຮົມສະຖາປັດຕະຍະກໍາໃຫຍ່ແລະຂະຫນາດ batch.

24/7 ມີຄວາມສາມາດ

ປະຕິບັດວຽກຝຶກອົບຮົມທີ່ຍາວນານໂດຍບໍ່ໄດ້ຢຸດເຊົາ

ຕົວຢ່າງການໃຊ້ທີ່ນິຍົມ {ຊື່}

ການຝຶກອົບຮົມ CNN

ແບບແບບປ່ຽນ

ການຝຶກ GAN

ການຮຽນຮູ້ທີ່ເພີ່ມທະວີ

ການທົດລອງ AutoML

ການຄົ້ນຫາໂຄງສ້າງສະຫວັນນະຄະດີຂອງລະບົບປະສາດ

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 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.

ການຮຽນຮູ້ GPU VPS

ຫຍັງຄື {ຊື່} ຢູ່ໃນ GPU VPS?

ເຮັດ​ຫຍັງ {ຊື່} ຢູ່ໃນ VPS.org GPU

ທຸກ​ກອບ

ການ​ເຮັດ​ຄືນ​ໄວ

ແບບ​ໃຫຍ່