--- title: "GPU Servers for AI — RTX PRO 6000 & L40S, Monthly" description: "Dedicated NVIDIA GPU servers for AI inference, fine-tuning and rendering: RTX PRO 6000 (96 GB), L40S, RTX PRO 4000. Monthly from $169, 10 Gbps unmetered." url: "https://powerdedi.com/solutions/ai-gpu-compute" last_updated: "2026-10-15" publisher: "PowerDedi (https://powerdedi.com)" --- # AI GPU servers for inference and fine-tuning, billed monthly. Dedicated NVIDIA GPUs with 24 to 96 GB of memory, a whole server to yourself and a 10 Gbps unmetered port for datasets and model weights. No hourly meter, no egress bill. Recommended for large models RTX PRO 6000 - NVIDIA RTX PRO 6000 · 96 GB - AMD EPYC 9355P · 32C/64T - 384 GB DDR5 ECC - 2 × 3.84 TB NVMe Gen5 96 GB of GDDR7 on one GPU: 70B-parameter models at 8-bit, or LoRA fine-tuning of mid-size models. ~~$1,499~~ −40% $899/mo Ready in 72 h [Deploy this server](https://powerdedi.com/order?plan=g-pro6000) - 10 Gbps unmetered port - Always-on DDoS protection - IPMI / KVM access - IPv4 + routed /64 IPv6 - $0 setup, cancel anytime ## Built for GPU workloads that run all month. - **Monthly, not hourly** From $0.23 to $1.23 per hour equivalent when run around the clock, with nothing metered on top. - **The whole machine** No time-slicing, no noisy neighbors: full PCIe access, your drivers, your CUDA version. - **Data moves free** Pull weights and datasets at 10 Gbps and serve inference traffic without watching an egress meter. - **Private by design** Your models, prompts and data stay on hardware only you access, paid for with an email address and crypto. ## What fits on each GPU. Largest model class that fits for inference with a moderate context length. Weights take about 2 bytes per parameter at FP16/BF16, 1 byte at 8-bit and about 0.5 byte at 4-bit, plus 10–30% for the KV cache. *What fits on each GPU* | GPU | Memory | FP16 / BF16 | 8-bit | 4-bit | Per hour, 24/7 | | --- | --- | --- | --- | --- | --- | | NVIDIA RTX PRO 4000 Blackwell | 24 GB | ~8B | ~14B | ~32B | $0.23 | | NVIDIA L40S | 48 GB | ~20B | ~32B | ~70B | $0.75 | | NVIDIA RTX PRO 6000 Blackwell | 96 GB | ~40B | ~70B | ~120B (MoE) | $1.23 | Rules of thumb for single-GPU inference. Long contexts, large batches and training need more memory; fine-tuning with LoRA or QLoRA fits well on 48 and 96 GB cards. ## Three NVIDIA GPUs, one per server. Public NVIDIA specifications. Every GPU server includes the host CPU, memory and NVMe listed, plus a 10 Gbps unmetered port. *GPU servers* | GPU | Architecture | Memory | Tensor formats | Host | Delivery | Price | | --- | --- | --- | --- | --- | --- | --- | | **NVIDIA RTX PRO 4000 Blackwell SFF · 24 GB** | Blackwell | 24 GB GDDR7 ECC | FP4 · FP8 · BF16 | AMD Ryzen 9 9900X · 64 GB DDR5 | 24 h | **$169**/mo | | **NVIDIA L40S · 48 GB** | Ada Lovelace | 48 GB GDDR6 ECC | FP8 · BF16 | AMD EPYC 9355P · 256 GB DDR5 ECC | 72 h | **$549**/mo | | **NVIDIA RTX PRO 6000 Blackwell · 96 GB** | Blackwell | 96 GB GDDR7 ECC | FP4 · FP8 · BF16 | AMD EPYC 9355P · 384 GB DDR5 ECC | 72 h | **$899**/mo | **Runs your stack** - PyTorch - vLLM - SGLang - llama.cpp - Ollama - TensorRT-LLM - Hugging Face TGI - ComfyUI - Blender - FFmpeg (NVENC) - Docker + NVIDIA Container Toolkit ## Start from a proven configuration. Every price includes the 10 Gbps unmetered port, DDoS protection and IPMI. The struck price is the market median for the same hardware. - Inference and development [RTX PRO 4000 Blackwell](https://powerdedi.com/dedicated-servers/gpu/rtx-pro-4000-blackwell) 24 h - NVIDIA RTX PRO 4000 · 24 GB - AMD Ryzen 9 9900X · 12C/24T - 64 GB DDR5 - 2 × 1.92 TB NVMe - 10 Gbps unmetered Models up to about 14B at 8-bit, embeddings, Whisper and image generation on 24 GB of GDDR7. $169/mo (market avg. $279, −39%) [Deploy](https://powerdedi.com/order?plan=g-pro4000) Available in Amsterdam, Frankfurt, New York. - Production inference [NVIDIA L40S](https://powerdedi.com/dedicated-servers/gpu/l40s) 72 h - NVIDIA L40S · 48 GB - AMD EPYC 9355P · 32C/64T - 256 GB DDR5 ECC - 2 × 3.84 TB NVMe - 10 Gbps unmetered 48 GB for quantized 30B to 70B models and batched serving, on a 32-core EPYC host. $549/mo (market avg. $909, −40%) [Deploy](https://powerdedi.com/order?plan=g-l40s) Available in Amsterdam, Frankfurt. - Large models and fine-tuning **Recommended** [RTX PRO 6000](https://powerdedi.com/dedicated-servers/gpu/rtx-pro-6000-blackwell) 72 h - NVIDIA RTX PRO 6000 · 96 GB - AMD EPYC 9355P · 32C/64T - 384 GB DDR5 ECC - 2 × 3.84 TB NVMe Gen5 - 10 Gbps unmetered 96 GB for 70B models at 8-bit and LoRA fine-tuning, with 384 GB of host memory. $899/mo (market avg. $1,499, −40%) [Deploy](https://powerdedi.com/order?plan=g-pro6000) Available in Amsterdam, Frankfurt. [Compare all 18 configurations](https://powerdedi.com/dedicated-servers) ## AI & GPU compute: questions, answered. ### Can I get several GPUs in one server? Each GPU server has one dedicated NVIDIA GPU, without NVLink. To serve more traffic, run several GPU servers side by side. ### Can I train models? Fine-tuning (LoRA, QLoRA, full fine-tuning of smaller models) works well on the L40S and RTX PRO 6000. Pre-training large models needs multi-GPU clusters with fast interconnects, which we do not offer. ### Which software can I run? Anything that runs on Linux with NVIDIA drivers: PyTorch, vLLM, SGLang, llama.cpp, Ollama, TensorRT-LLM, ComfyUI and more. Install the driver and CUDA from NVIDIA’s repositories, or use Docker with the NVIDIA Container Toolkit. ### Is GPU mining allowed? No. GPU servers are reserved for compute, rendering and AI workloads. ### Where are GPU servers located? The RTX PRO 4000 is available in Amsterdam, Frankfurt and New York (24 h delivery); the L40S and RTX PRO 6000 in Amsterdam and Frankfurt (72 h). **More solutions** - [Blockchain nodes](https://powerdedi.com/solutions/blockchain-nodes) - [Streaming & CDN](https://powerdedi.com/solutions/streaming-cdn) - [Game servers](https://powerdedi.com/solutions/game-servers) - [Web & SaaS](https://powerdedi.com/solutions/web-saas) - [Storage & backup](https://powerdedi.com/solutions/storage-backup) - [Privacy & VPN](https://powerdedi.com/solutions/privacy-vpn) ## Deploy RTX PRO 6000 for $899 a month. Built to order — ready within 72 hours. 10 Gbps unmetered, no setup fee, cancel anytime. [Deploy this server](https://powerdedi.com/order?plan=g-pro6000) [Compare all servers](https://powerdedi.com/dedicated-servers) Ready in 72 h · Cancel anytime · BTC, ETH, XMR, USDT or SOL --- PowerDedi — Dedicated servers with 10 Gbps unmetered, paid in crypto. Page: https://powerdedi.com/solutions/ai-gpu-compute. Index of the site for AI assistants: https://powerdedi.com/llms.txt