NVIDIA Tesla P40 · 24GB VRAM

Pelayan GPU FFmpeg

Transkod video 10-50x lebih pantas dengan pengekodan perkakasan FFmpeg dan NVIDIA NVENC pada pelayan GPU khusus.

$ apt install ffmpeg && ffmpeg -hwaccel cuda -hwaccel_output_format cuda -i input.mp4 -c:v h264_nvenc -preset p7 output.mp4
# Berjalan pada NVIDIA Tesla P40 (24GB)
Bersedia. _

Apakah {nama} pada GPU VPS?

FFmpeg dengan sokongan NVIDIA GPU menggunakan NVENC untuk pengekodan dan NVDEC untuk dekodan, memberikan pemprosesan video yang lebih pantas berbanding hanya pemprosesan CPU.

Kenapa {nama} pada VPS.org GPU

Pengekodan NVENC

Pengekodan perkakasan H.264 dan H.265 pada kelajuan tinggi.

Nyahkod NVDEC

Nyahkod video perkakasan membebaskan CPU untuk tugas lain.

Sokongan 4K/8K

24GB VRAM mengendalikan paip video resolusi tinggi.

Berbilang Strim

Pengekod berbilang strim video secara serentak pada GPU.

Kes Guna {nama} Popular

Pengekodan platform VOD
Transkod strim langsung
Pemprosesan media sosial
Penukaran rakaman keselamatan
Arkib Media
Asal CDN Strim

Spesifikasi GPU

GPUNVIDIA Tesla P40
VRAM24 GB GDDR5X
Warna CUDA3,840
FP3212 TFLOPS
INT847 TOPS
Memori BW346 GB/s
ArkitekturPascal (GP102)
LaluanBare-metal PCIe

Soalan Lazim

What is FFmpeg GPU on a GPU VPS?

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

How do I set up FFmpeg GPU on a GPU VPS?

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Deploy a GPU VPS with the NVIDIA Tesla P40, SSH in, and run apt install ffmpeg && ffmpeg -hwaccel cuda -hwaccel_output_format cuda -i input.mp4 -c:v h264_nvenc -preset p7 output.mp4. Your FFmpeg GPU environment is ready in minutes with full GPU acceleration.

How much VRAM do I need for FFmpeg GPU?

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

Is FFmpeg GPU 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 FFmpeg GPU?

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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 FFmpeg GPU.

Do I get full root on the FFmpeg GPU GPU VPS?

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

Which CUDA version is installed for FFmpeg GPU?

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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 FFmpeg GPU workload.

Does my FFmpeg GPU GPU VPS persist between sessions?

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Yes — your FFmpeg GPU 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 FFmpeg GPU workload?

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

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

Sedia untuk Jalankan {nama} pada GPU?

Letak pelayan GPU NVIDIA khusus dalam beberapa minit. Tiada tempahan, tiada panggilan jualan.

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Dari $2.0/mo