NVIDIA Tesla P40 · 24GB VRAM

ການຄິດໄລ່ວິທະຍາສາດ GPU VPS

ເພີ່ມຄວາມໄວໃນການສ້າງແບບจำลองທາງວິທະຍາສາດ ແລະ ການເຮັດວຽກຂອງ HPC ດ້ວຍການໃຊ້ຮາດແວ NVIDIA GPU ທີ່ອຸທິດຕົນ. CUDA ແລະ OpenCL ພ້ອມໃຊ້ງານ.

ຕິດຕັ້ງម៉ាស៊ីនបម្រើ GPU ຕົວເລືອກ GPU ທັງໝົດ

$ apt install nvidia-cuda-toolkit && nvcc --version
# ແລ່ນຢູ່ເທິງ NVIDIA Tesla P40 (24GB)
ພ້ອມແລ້ວ _

ຫຍັງຄື {ຊື່} ຢູ່ໃນ GPU VPS?

ການຄິດໄລ່ທາງວິທະຍາສາດກ່ຽວກັບ GPU VPS ນໍາໃຊ້ NVIDIA CUDA cores ສໍາລັບ parallelism ຂະຫນາດໃຫຍ່. ປະຕິບັດໂມເລກຸນ dynamics, ແບບຈໍາລອງສະພາບອາກາດ, ການຫລອກລວງ CFD, ແລະອື່ນໆ HPC ວຽກທີ່ໄວກວ່າໃນ CPU clusters.

ເຮັດຫຍັງ {ຊື່} ຢູ່ໃນ VPS.org GPU

CUDA ແລະ OpenCL

ສະຫນັບສະຫນູນເຕັມສໍາລັບ CUDA ແລະ OpenCL ກອບການຄິດໄລ່ວິທະຍາສາດ.

3, 840 CUDA ແກນ

ການປະມວນຜົນແບບຄຽງຄູ່ຢ່າງຫຼວງຫຼາຍສຳລັບການເຮັດວຽກແບບຟອມແບບຟອມ.

12 TFLOPS FP32

ຜົນງານທີ່ຖືກຕ້ອງສູງສໍາລັບການຄິດໄລ່ຕົວເລກ.

ສະພາບແວດລ້ອມທີ່ບໍ່ປ່ຽນແປງ

ຮັກສາສະພາບແວດລ້ອມການຄົ້ນຄວ້າຂອງທ່ານແລ່ນ 24/7.

ຕົວຢ່າງການໃຊ້ທີ່ນິຍົມ {ຊື່}

ໂມເລກຸນດາວທຽມ (GROMACS)

ແບບແບບດິນຟ້າອາກາດ

ແຮງໂນ້ມຖ່ວງຂອງແຫຼວ (CFD)

ການວິເຄາະ Genomics

ຕົວແບບຟີຊິກ

ແບບແບບການເງິນ

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 Scientific Computing on a GPU VPS?

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

How do I set up Scientific Computing on a GPU VPS?

Deploy a GPU VPS with the NVIDIA Tesla P40, SSH in, and run apt install nvidia-cuda-toolkit && nvcc --version. Your Scientific Computing environment is ready in minutes with full GPU acceleration.

How much VRAM do I need for Scientific Computing?

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

Is Scientific Computing 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 Scientific Computing?

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

Do I get full root on the Scientific Computing GPU VPS?

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

Which CUDA version is installed for Scientific Computing?

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 Scientific Computing workload.

Does my Scientific Computing GPU VPS persist between sessions?

Yes — your Scientific Computing 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 Scientific Computing workload?

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

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

ການ​ຄິດໄລ່​ວິທະຍາສາດ GPU VPS