NVIDIA Tesla P40 · 24GB VRAM

Servidor de transcodificación de vídeo GPU

Transcode vídeo 10-50x más rápido con codificación de hardware NVIDIA NVENC. GPU dedicada para FFmpeg, HandBrake y tuberías de codificación personalizadas.

$ apt install ffmpeg && ffmpeg -hwaccel cuda -i input.mp4 -c:v h264_nvenc output.mp4
# Correr en NVIDIA Tesla P40 (24GB)
Listo. _

¿Qué es {nombre} en un VPS GPU?

La transcodificación de vídeo GPU utiliza el codificador de hardware NVENC de NVIDIA para convertir formatos de vídeo dramáticamente más rápido que la codificación exclusiva de la CPU.

¿Por qué {nombre} en VPS.org GPU

Codificación NVENC

Hardware de codificación H.264/H.265 a velocidad de CPU 10-50x.

Compatible con FFmpeg

Utilice FFmpeg con la aceleración NVIDIA GPU fuera de la caja.

Procesamiento por lotes

Procesar múltiples secuencias de vídeo simultáneamente en GPU dedicada.

24GB VRAM

Manipule el contenido de 4K y 8K con búferes de marco grandes.

Casos de uso {nombre} populares

Codificación de plataformas de medios de comunicación
Transcodificación de la corriente en vivo
Procesamiento de VOD
Conversión de formato de vídeo
Generación de miniaturas
Preprocesamiento de análisis de vídeo

Especificaciones de la GPU

GPUNVIDIA Tesla P40
VRAM24 GB GDDR5X
Núcleos CUDA3,840
FP3212 TFLOPS
INT847 TOPS
Memoria BW346 GB/s
ArquitecturaPascal (GP102)
Paso a pasoPCIe de metal desnudo

Preguntas frecuentes

What is Video Transcoding on a GPU VPS?

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

How do I set up Video Transcoding 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 -i input.mp4 -c:v h264_nvenc output.mp4. Your Video Transcoding environment is ready in minutes with full GPU acceleration.

How much VRAM do I need for Video Transcoding?

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

Is Video Transcoding 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 Video Transcoding?

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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 Video Transcoding.

Do I get full root on the Video Transcoding GPU VPS?

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

Which CUDA version is installed for Video Transcoding?

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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 Video Transcoding workload.

Does my Video Transcoding GPU VPS persist between sessions?

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Yes — your Video Transcoding 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 Video Transcoding workload?

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

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

¿Listo para ejecutar {nombre} en GPU?

Implementar un servidor NVIDIA GPU dedicado en minutos. Sin reservas, sin llamadas de ventas.

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A partir de $2,0/mes