L4 24 GBGPU L4 24 GB
- NVIDIA L4 24 GB class
- Server-grade CPU platform
- 128 GB RAM class
- 2×960 GB SSD/NVMe class
- Up to 10 Gbps connectivity
- DDoS protection included
- AI inference, media & graphics
Deploy GPU-accelerated infrastructure for AI inference, machine learning, CUDA applications, model experimentation, 3D rendering, video processing and compute-heavy workloads. Choose Linux, global locations and resource upgrades before checkout.
Clear specifications, practical provisioning and infrastructure options designed for customers who want to understand what they are ordering.

GPU orders are manually verified against requested region and current inventory. Equivalent upstream platforms can be used when an exact reference chassis is unavailable.
L4 24 GB
A10 24 GB
L40S 48 GB
H100 80 GBGPU products are inventory-sensitive. Final region, upstream platform and activation time are confirmed before manual provisioning.
GPU server hosting can reduce processing time for workloads that benefit from massively parallel compute.
Run model inference, embeddings, vector workflows and private AI applications on dedicated GPU compute.
Experiment with machine learning pipelines, data processing and CUDA-enabled frameworks on Linux GPU servers.
Accelerate Blender, 3D rendering, video processing and GPU-assisted content production workloads.
Use GPU acceleration for scientific computing, simulation, image processing and parallel applications.
Yes. Contact Hostivra Networks before ordering when your application depends on an exact NVIDIA model, VRAM capacity or CUDA feature set. Listed GPU classes are subject to stock and regional availability.
GPU servers use the Linux operating system choices in the Hostivra server configurator. Driver, CUDA and application requirements can be confirmed during manual provisioning.
No. GPU orders are manually reviewed and provisioned so hardware availability, workload requirements and the selected location can be confirmed before activation.
Clear billing, provisioning, management and backup expectations before checkout.
Check model or scene memory, software compatibility, CPU preprocessing and dataset storage before selecting a GPU. A listed GPU model does not guarantee a particular inference speed or render time.
Estimate model memory, context and concurrency. Review the LLM server requirements before asking for availability.
Check your model, precision and resolution. See image-generation workloads.
Confirm the renderer or compute stack supports the selected hardware. Use the GPU buying guide for the complete system checklist.
Confirm exact hardware, region, stock and activation expectations before scheduling a migration. Prices and available configurations remain subject to the final order.