--- title: "RTX GPU Servers: A4000, 4090, 5090 & 6000 Ada · No KYC" description: "Offshore RTX A4000, 4090, 5090 and RTX 6000 Ada servers, 16 to 64 GB of VRAM: the lowest price per token for private LLM inference." url: https://offshoreserv.com/offshore-gpu-servers/rtx lang: en updated: 2026-09-27 source: HTML page at the url above (canonical); this is its Markdown version --- RTX A4000 · 4090 · 5090 · 6000 Ada # RTX 4090 & 5090 servers. The best price per token. RTX cards give the most inference speed per dollar: 24 GB on the 4090, 32 GB of GDDR7 on the 5090 and 48 GB on the RTX 6000 Ada. Dedicated cards, driver and CUDA preinstalled, paid in crypto. **From $61.99/mo.** - 16 to 64 GB of VRAM - Up to 1.8 TB/s per card - Private inference - Ready in 1 to 24 hours ## Five RTX servers, 16 to 64 GB of VRAM. Each card is dedicated to you. Every server has NVMe storage and an unmetered 1 Gbps port. | GPU | VRAM | CPU | RAM | Storage | Price | | --- | --- | --- | --- | --- | --- | | **RTX A4000** (Entry inference, 7-13B models) | 16 GB | 8 vCPU | 64 GB | 1 TB NVMe | **$61.99**/mo | | **RTX 4090** (Best price per token), popular | 24 GB | 8 vCPU | 64 GB | 1 TB NVMe | **$84.99**/mo | | **RTX 5090** (Fast inference, image and video) | 32 GB | 12 vCPU | 96 GB | 2 TB NVMe | **$134.99**/mo | | **RTX 6000 Ada** (48 GB, 32B at 8-bit) | 48 GB | EPYC 7302P · 16c | 128 GB | 2 × 1.92 TB NVMe | **$306.99**/mo | | **2 × RTX 5090** (64 GB of VRAM in one box) | 64 GB | EPYC 9354 · 32c | 256 GB | 2 × 1.92 TB NVMe | **$558.99**/mo | Need HBM memory or NVLink? See [A100, L40S & H100](https://offshoreserv.com/offshore-gpu-servers/datacenter). ## RTX 4090 or RTX 5090? The 4090 is the value pick. The 5090 adds 8 GB and about 78% more memory bandwidth, which shows in tokens per second. ### RTX 4090 (Best value) 24 GB GDDR6X - **Memory bandwidth**: 1,008 GB/s - **Fits at 16-bit**: Up to about 8B - **Fits at 8-bit**: Up to about 14B - **Image models**: SDXL, Flux - **Best for**: Chat assistants, image generation **$84.99**/mo ### RTX 5090 32 GB GDDR7 - **Memory bandwidth**: 1,792 GB/s - **Fits at 4-bit**: Up to about 32B - **Fits at 8-bit**: 14B with long context - **Image models**: Flux, video models - **Best for**: Faster tokens, longer context **$134.99**/mo ## What fits on each card. Memory a dense model needs with an 8K-token context and 10% headroom. Longer contexts need more. | Model size | 4-bit | 8-bit | 16-bit | | --- | --- | --- | --- | | 7–8B | ~7 GB RTX A4000 | ~11 GB RTX A4000 | ~19 GB RTX 4090 | | 13–14B | ~11 GB RTX A4000 | ~18 GB RTX 4090 | ~32 GB RTX 6000 Ada, L40S | | 32B | ~24 GB RTX 5090 | ~40 GB RTX 6000 Ada, L40S | ~73 GB A100 or H100 | | 70B | ~50 GB A100, H100 or 2 × RTX 5090 | ~85 GB 2 × H100 | ~157 GB 4 × H100 | A 4-bit 70B model needs about 50 GB: 2 × RTX 5090 (64 GB), or an 80 GB A100 or H100. Full guide: [how much VRAM do LLMs need?](https://offshoreserv.com/blog/how-much-vram-for-llms) ## What RTX servers are best at. Consumer and workstation cards shine where a model fits in 24 to 64 GB of VRAM. - **Private chat assistants** — 8B to 32B models behind Open WebUI, for you or your team. — [Ollama guide](https://offshoreserv.com/docs/gpu/images) - **Image generation** — Stable Diffusion and Flux workflows in ComfyUI. — RTX 5090 - **Video & 3D** — Video models and Blender Cycles renders on a card you do not share. — 2 × RTX 5090 - **Coding assistants** — Self-hosted code models answering from your own repositories. — [vLLM guide](https://offshoreserv.com/docs/gpu/images) ## Where RTX servers are available. Each card has its own list; the plans above show exactly where. - [Moldova Chișinău Best value — Outside the EU · no DSA — London **~33 ms** New York **~113 ms** Singapore **~129 ms**](https://offshoreserv.com/locations/moldova) - [Netherlands Amsterdam Network hub — EU member · DSA applies — London **~7 ms** New York **~87 ms** Singapore **~154 ms**](https://offshoreserv.com/locations/netherlands) - [Iceland Reykjavík Free-speech haven — EEA · outside the EU · no DSA — London **~29 ms** New York **~63 ms** Singapore **~169 ms**](https://offshoreserv.com/locations/iceland) - [Romania Bucharest Budget EU — EU member · DSA applies — London **~32 ms** New York **~113 ms** Singapore **~131 ms**](https://offshoreserv.com/locations/romania) Latency figures are estimates from distance, not measurements. Every jurisdiction has the same prices. [How we estimate latency](https://offshoreserv.com/network) ## The rules, before you pay. What we promise is written into our policies, not just our marketing. - US DMCA notices **Not actioned** — Answered with our policy, never enforced. Only a local court order, or a valid EU notice in EU locations, can require action. - Identity **Email only** — No name, address, phone or ID document, ever. A private or disposable address is fine. - Payment **5 cryptocurrencies** — Bitcoin, Ethereum, Monero, USDT and Solana, paid on-chain from any wallet to your balance. No card processor, no chargebacks. - Transparency **Signed canary** — A PGP-signed warrant canary every quarter and a public count of every request we receive. ## RTX servers, answered. **Another question?** The full FAQ answers what people ask before an order: payments, privacy, complaints and support. ### Why choose RTX over an A100 or H100? For inference of models that fit in 24 to 48 GB, RTX cards deliver more tokens per dollar. Datacenter GPUs make sense when you need 80 GB on one card, HBM bandwidth for training, or NVLink between GPUs. ### Can two RTX 5090s run one model? Yes. vLLM and llama.cpp split a model across both cards (tensor or layer parallelism), which gives you 64 GB for a 4-bit 70B model. The cards talk over PCIe, not NVLink, so scaling is good for inference and more limited for training. ### Is the RTX 6000 Ada worth it? If you need 48 GB on a single card with ECC memory, yes: it runs 32B models at 8-bit and 14B models at full precision without splitting them across GPUs. A 4-bit 70B model needs about 50 GB, so plan for two cards or 80 GB. For smaller models, the RTX 5090 is faster and cheaper. ### Are the driver and CUDA installed? Yes, on the Ubuntu 24.04 image. The RTX 5090 needs a recent CUDA build of PyTorch; the [GPU images guide](https://offshoreserv.com/docs/gpu/images) gives the exact commands. ### Can I get a refund? GPU servers are not refundable once delivered, because the hardware is set aside for you. Check the specifications and the [GPU images guide](https://offshoreserv.com/docs/gpu/images) before you order. ## Keep reading. Guides, policies and articles picked for this page, written by our team. - [RTX 4090 servers 24 GB of VRAM for $84.99/mo.](https://offshoreserv.com/offshore-gpu-servers/rtx-4090) - [RTX 5090 servers 32 GB of GDDR7 for $134.99/mo.](https://offshoreserv.com/offshore-gpu-servers/rtx-5090) - [How much VRAM do LLMs need?Model sizes, quantization and the right GPU.](https://offshoreserv.com/blog/how-much-vram-for-llms) - [AI-ready GPU images Drivers, CUDA and the tools preinstalled on GPU servers.](https://offshoreserv.com/docs/gpu/images) - [A100, L40S & H100 HBM, ECC and NVLink for training.](https://offshoreserv.com/offshore-gpu-servers/datacenter) - [Multi-GPU servers Up to 4 × H100 and 320 GB of VRAM.](https://offshoreserv.com/offshore-gpu-servers/multi-gpu) ## The fastest tokens per dollar, offshore. 1. Pick a card and a jurisdiction 2. Pay in crypto, no ID asked 3. SSH in within 1 to 24 hours From $61.99/mo · dedicated cards · CUDA preinstalled --- OffshoreServ is an offshore hosting provider: VPS, dedicated servers, Windows RDP and GPU servers in seven jurisdictions (Iceland, Switzerland, Moldova, Romania, the Netherlands, Bulgaria and Malaysia), paid only in cryptocurrency (Bitcoin, Ethereum, Monero, Tether (USDT) and Solana), with no identity checks (no KYC). Prices and plans: https://offshoreserv.com/pricing · Answers: https://offshoreserv.com/faq · Every page: https://offshoreserv.com/llms.txt