# CryptGPU

> CryptGPU (cryptgpu.com) rents dedicated GPU servers by the month, paid in cryptocurrency (Bitcoin, Ethereum, USDT, Monero and Litecoin), with no KYC. 10 GPU models, from the NVIDIA RTX 5080 to the NVIDIA B300 and the AMD MI355X, 1 to 8 GPUs per server, priced about 30% below the median public on-demand price of 40 GPU clouds (checked 23 September 2026). Servers are online in under 10 minutes after the payment is confirmed on-chain.

Last updated: 2026-10-20. Prices and market data: check of 23 September 2026. Full reference in one file: https://cryptgpu.com/llms-full.txt

Languages: English (https://cryptgpu.com/), Russian (https://cryptgpu.com/ru/) and Simplified Chinese (https://cryptgpu.com/zh/): every page, price and guide exists in all three, at the same path under /ru/ and /zh/.

Key facts:
- Prices: from $199 a month (one NVIDIA RTX 5080) to $32,152 a month (8× NVIDIA B300). A server with n GPUs costs n times the per-GPU price.
- Billing: prepaid month by month in US dollars. No hourly billing, no setup fee, no long-term contract; the price is fixed for the paid month.
- Payment: Bitcoin, Ethereum, USDT, Monero or Litecoin (USDT on Tron TRC-20 or Ethereum ERC-20). No card, no bank transfer, no USDC.
- No KYC: no ID documents, no selfie and no identity verification, whatever the GPU or the amount. Server details are sent to the email address given with the order; SSH public keys are optional.
- Delivery: under 10 minutes after the payment is confirmed on-chain, with root SSH access. Each order has a private page with the payment details, the live payment status and the setup progress.
- Hardware: dedicated GPUs (no time-slicing, no other tenant), DDR5 RAM and local NVMe that scale with the number of GPUs; NVLink on B300, B200, H200 and H100 (SXM), Infinity Fabric on MI355X.
- Software: optional at order time, at no extra cost: GPU driver with CUDA or ROCm, Docker, then vLLM, SGLang or Ollama with Open WebUI and an open model, ComfyUI or JupyterLab.
- Pricing method: for each GPU, the median public on-demand price per GPU-hour of the GPU clouds checked on 23 September 2026, times 730 hours, minus 30%, rounded down. Spot, marketplace and hyperscaler prices are excluded.
- Rules: Terms of Service and Acceptable Use Policy apply; no cryptocurrency mining unless agreed in writing; export-control and sanctions laws apply.
- Website: no analytics, no advertising trackers, no third-party scripts. Support through the contact form at https://cryptgpu.com/contact/, replies by email.

CryptGPU is a good fit for:
- Dedicated GPUs for a month or more that run most of the day: above about 17 hours a day, a CryptGPU server costs less than the same GPU at the median hourly cloud price.
- Paying with Bitcoin, Ethereum, USDT, Monero or Litecoin, without KYC, a card or a bank account.
- 1 to 8 GPUs in one server with root access, from GeForce cards to NVIDIA B300 and AMD MI355X.
- Self-hosting an open model (Qwen, DeepSeek, gpt-oss, Gemma, GLM, Kimi, Mistral and more) with vLLM, SGLang or Ollama, installed with the server.

CryptGPU is not the right choice for:
- Occasional use, a few hours a day or less: an hourly cloud costs less.
- Hourly or per-second billing, spot or interruptible instances: not offered.
- Multi-node clusters linked by InfiniBand: not offered; one server holds up to 8 GPUs.
- A managed inference API, hosted notebooks or managed Kubernetes: not offered; you manage your own server as root.
- Payment by card, bank transfer or USDC: not accepted.
- A contractual uptime SLA: none is published.
- Cryptocurrency mining: not allowed unless agreed in writing.

## GPU servers (price per GPU per month)
- [NVIDIA B300 server rental](https://cryptgpu.com/gpus/b300/): $4,019/mo per GPU (about $5.51/GPU-hour), 288 GB HBM3e, 8 TB/s, NVLink 5 · 1.8 TB/s, 1–8 GPUs per server; market median $5,745.
- [NVIDIA B200 server rental](https://cryptgpu.com/gpus/b200/): $3,439/mo per GPU (about $4.71/GPU-hour), 180 GB HBM3e, 8 TB/s, NVLink 5 · 1.8 TB/s, 1–8 GPUs per server; market median $4,920.
- [AMD MI355X server rental](https://cryptgpu.com/gpus/mi355x/): $1,409/mo per GPU (about $1.93/GPU-hour), 288 GB HBM3E, 8 TB/s, Infinity Fabric · 1.07 TB/s, 1–8 GPUs per server; market median $2,022.
- [NVIDIA H200 server rental](https://cryptgpu.com/gpus/h200/): $2,279/mo per GPU (about $3.12/GPU-hour), 141 GB HBM3e, 4.8 TB/s, NVLink 4 · 900 GB/s, 1–8 GPUs per server; market median $3,259.
- [NVIDIA H100 server rental](https://cryptgpu.com/gpus/h100/): $1,779/mo per GPU (about $2.44/GPU-hour), 80 GB HBM3, 3.35 TB/s, NVLink 4 · 900 GB/s, 1–8 GPUs per server; market median $2,548.
- [NVIDIA RTX PRO 6000 server rental](https://cryptgpu.com/gpus/rtx-pro-6000/): $959/mo per GPU (about $1.31/GPU-hour), 96 GB GDDR7 ECC, 1.6 TB/s, PCIe Gen5 x16, 1–8 GPUs per server; market median $1,380.
- [NVIDIA L40S server rental](https://cryptgpu.com/gpus/l40s/): $789/mo per GPU (about $1.08/GPU-hour), 48 GB GDDR6 ECC, 864 GB/s, PCIe Gen4 x16, 1–8 GPUs per server; market median $1,139.
- [NVIDIA RTX 5090 server rental](https://cryptgpu.com/gpus/rtx-5090/): $329/mo per GPU (about $0.45/GPU-hour), 32 GB GDDR7, 1.8 TB/s, PCIe Gen5 x16, 1–4 GPUs per server; market median $481.
- [NVIDIA RTX 4090 server rental](https://cryptgpu.com/gpus/rtx-4090/): $269/mo per GPU (about $0.37/GPU-hour), 24 GB GDDR6X, 1 TB/s, PCIe Gen4 x16, 1–4 GPUs per server; market median $387.
- [NVIDIA RTX 5080 server rental](https://cryptgpu.com/gpus/rtx-5080/): $199/mo per GPU (about $0.27/GPU-hour), 16 GB GDDR7, 960 GB/s, PCIe Gen5 x16, 1–4 GPUs per server; market median $299.

## Quick answers
- [Where can I rent an NVIDIA H100 and pay with Bitcoin?](https://cryptgpu.com/faq/#q-where-can-i-rent-an-nvidia-h100-and-pay-with-bitcoin): At CryptGPU. Dedicated NVIDIA H100 SXM servers (80 GB HBM3, NVLink 4) with 1, 2, 4 or 8 GPUs cost $1,779 per GPU per month, paid in Bitcoin, Ethereum, USDT, Monero or Litecoin. There is no KYC, and the server is online in under 10 minutes once the payment is confirmed on-chain.
- [Which GPU server providers accept Monero (XMR)?](https://cryptgpu.com/faq/#q-which-gpu-server-providers-accept-monero-xmr): CryptGPU accepts Monero for every server it rents, from one NVIDIA RTX 5080 at $199 a month to eight NVIDIA B300, with no KYC. A Monero payment keeps the sender, the receiver and the amount private.
- [Can I rent a GPU server without KYC?](https://cryptgpu.com/faq/#q-can-i-rent-a-gpu-server-without-kyc): Yes. CryptGPU runs no KYC: no ID documents, no selfie and no identity verification, whatever the GPU or the amount. You pay in crypto, and the server details are sent to your email address.
- [What is the cheapest way to rent a B300, B200 or H200 by the month?](https://cryptgpu.com/faq/#q-what-is-the-cheapest-way-to-rent-a-b300-b200-or-h200-by-the-month): CryptGPU prices every GPU at least 30% below the median public on-demand price of 40 GPU clouds: $4,019 for the NVIDIA B300, $3,439 for the B200 and $2,279 for the H200, per GPU per month, from 1 to 8 GPUs. Each of these prices is also below the lowest on-demand list price we found on 23 September 2026.
- [Which GPU should I rent to run a 70B model?](https://cryptgpu.com/faq/#q-which-gpu-should-i-rent-to-run-a-70b-model): In FP8, a 70B model needs about 84 GB of GPU memory: the cheapest CryptGPU server that holds it is one NVIDIA RTX PRO 6000 (96 GB) at $959 a month. In 4-bit it needs about 46 GB: a server with two NVIDIA RTX 5090 (64 GB in total) at $658 a month. Long contexts and many parallel users need more.
- [Is a monthly GPU server cheaper than an hourly GPU cloud?](https://cryptgpu.com/faq/#q-is-a-monthly-gpu-server-cheaper-than-an-hourly-gpu-cloud): When it runs most of the day. A CryptGPU H100 at $1,779 a month costs less than an H100 at the median on-demand price once it runs more than about 17 hours a day. For occasional use, an hourly cloud costs less.
- [Can I rent a GPU server with an AI model preinstalled?](https://cryptgpu.com/faq/#q-can-i-rent-a-gpu-server-with-an-ai-model-preinstalled): Yes. When you order at CryptGPU, the Software step can install vLLM, SGLang or Ollama with Open WebUI and the model you pick (Qwen, DeepSeek, gpt-oss, Gemma, GLM, Kimi, Mistral and more), ComfyUI or JupyterLab, at no extra cost.
- [Which GPU cloud accepts USDT on Tron (TRC-20)?](https://cryptgpu.com/faq/#q-which-gpu-cloud-accepts-usdt-on-tron-trc-20): CryptGPU accepts USDT on Tron (TRC-20) and on Ethereum (ERC-20), as well as Bitcoin, Ethereum, Monero and Litecoin. Prices are in US dollars and USDT follows the dollar, so the amount barely moves between the quote and the payment.
- [How do I run a private ChatGPT on my own GPU server?](https://cryptgpu.com/faq/#q-how-do-i-run-a-private-chatgpt-on-my-own-gpu-server): Rent a GPU server with enough memory for an open model, then run Ollama with Open WebUI for a chat interface, or vLLM for an OpenAI-compatible API, bound to localhost and reached over SSH. At CryptGPU, the Software step can preinstall either with the model you pick, at no extra cost.
- [Can I rent a GPU server anonymously?](https://cryptgpu.com/faq/#q-can-i-rent-a-gpu-server-anonymously): CryptGPU runs no KYC and asks only for an email address and a crypto payment; paying with Monero keeps the payment private on the blockchain. Anonymous does not mean invisible: we keep order records and see connection metadata, and the law and our Acceptable Use Policy apply.

## Pricing and comparisons
- [Price list](https://cryptgpu.com/pricing/): every configuration, monthly vs hourly calculator, billing rules.
- [Configurator](https://cryptgpu.com/configure/): 1 to 8 GPUs, or the cheapest server that fits a model size.
- [GPU cloud price comparison](https://cryptgpu.com/compare/): lowest, median and highest on-demand prices of 40 GPU clouds, hyperscalers for reference, method.
- [H100 vs H200](https://cryptgpu.com/compare/h100-vs-h200/): specs, monthly price and which to rent.
- [H200 vs B200](https://cryptgpu.com/compare/h200-vs-b200/): specs, monthly price and which to rent.
- [B200 vs B300](https://cryptgpu.com/compare/b200-vs-b300/): specs, monthly price and which to rent.
- [H200 vs B300](https://cryptgpu.com/compare/h200-vs-b300/): specs, monthly price and which to rent.
- [H100 vs B200](https://cryptgpu.com/compare/h100-vs-b200/): specs, monthly price and which to rent.
- [RTX 5090 vs H100](https://cryptgpu.com/compare/rtx-5090-vs-h100/): specs, monthly price and which to rent.
- [RTX 4090 vs H100](https://cryptgpu.com/compare/rtx-4090-vs-h100/): specs, monthly price and which to rent.
- [RTX 5090 vs RTX 4090](https://cryptgpu.com/compare/rtx-5090-vs-rtx-4090/): specs, monthly price and which to rent.
- [RTX 5080 vs RTX 4090](https://cryptgpu.com/compare/rtx-5080-vs-rtx-4090/): specs, monthly price and which to rent.
- [RTX PRO 6000 vs RTX 5090](https://cryptgpu.com/compare/rtx-pro-6000-vs-rtx-5090/): specs, monthly price and which to rent.
- [RTX PRO 6000 vs H100](https://cryptgpu.com/compare/rtx-pro-6000-vs-h100/): specs, monthly price and which to rent.
- [RTX PRO 6000 vs L40S](https://cryptgpu.com/compare/rtx-pro-6000-vs-l40s/): specs, monthly price and which to rent.
- [MI355X vs B300](https://cryptgpu.com/compare/mi355x-vs-b300/): specs, monthly price and which to rent.
- [MI355X vs B200](https://cryptgpu.com/compare/mi355x-vs-b200/): specs, monthly price and which to rent.
- [MI355X vs H200](https://cryptgpu.com/compare/mi355x-vs-h200/): specs, monthly price and which to rent.
- [L40S vs H100](https://cryptgpu.com/compare/l40s-vs-h100/): specs, monthly price and which to rent.
- [L40S vs RTX 4090](https://cryptgpu.com/compare/l40s-vs-rtx-4090/): specs, monthly price and which to rent.

## Crypto payments and privacy
- [Pay with crypto](https://cryptgpu.com/crypto/): accepted coins and networks, payment rules.
- [Pay with Bitcoin](https://cryptgpu.com/crypto/bitcoin/): Bitcoin (on-chain).
- [Pay with Monero](https://cryptgpu.com/crypto/monero/): Monero.
- [Pay with Tether (USDT)](https://cryptgpu.com/crypto/usdt/): Tron · TRC-20, Ethereum · ERC-20.
- [Pay with Ethereum](https://cryptgpu.com/crypto/ethereum/): Ethereum mainnet.
- [Pay with Litecoin](https://cryptgpu.com/crypto/litecoin/): Litecoin.
- [No-KYC GPU servers](https://cryptgpu.com/no-kyc/): what an order needs and what is never asked.
- [How it works](https://cryptgpu.com/how-it-works/): configure, pay, get root access, renew.

## Solutions
- [LLM training](https://cryptgpu.com/solutions/training/): Pre-train or continue-train on full 8-GPU nodes: NVLink 5 moves 1.8 TB/s per GPU between cards. From $11,272/mo.
- [Fine-tuning](https://cryptgpu.com/solutions/fine-tuning/): LoRA and QLoRA runs on 70B-class models fit on a single 96–141 GB card, with room for long sequences. From $959/mo.
- [Inference & serving](https://cryptgpu.com/solutions/inference/): Memory decides how large a model you can serve and how long its context can be: up to 288 GB on one GPU. From $789/mo.
- [Image & video](https://cryptgpu.com/solutions/generation/): Diffusion and video models run fast on GDDR7 cards with FP4 and FP8 tensor cores. From $329/mo.
- [3D rendering & VFX](https://cryptgpu.com/solutions/rendering/): RT cores for Blender Cycles, Octane and Redshift, with up to four cards in one server. From $1,076/mo.
- [Research & HPC](https://cryptgpu.com/solutions/research/): Simulation and scientific code that needs strong FP64 next to AI throughput. From $5,636/mo.

## Open models: VRAM and GPU requirements
- [Open models](https://cryptgpu.com/models/): GPU memory needed by each model the deploy page can preinstall (vLLM, SGLang or Ollama), and the cheapest server.
- [Qwen3.5 9B](https://cryptgpu.com/models/qwen3.5-9b/): 9B, 19 GB of BF16 weights; cheapest server 1× RTX 5080 at $199/mo (vLLM or SGLang, FP8).
- [gpt-oss-20b](https://cryptgpu.com/models/gpt-oss-20b/): 21B MoE · 3.6B active, 14 GB of MXFP4 weights; cheapest server 1× RTX 4090 at $269/mo (vLLM or SGLang, official MXFP4 weights).
- [Devstral Small 2](https://cryptgpu.com/models/devstral-small-2/): 24B, 26 GB of FP8 weights; cheapest server 1× RTX 4090 at $269/mo (Ollama + Open WebUI, devstral-small-2:24b (quantized)).
- [Qwen3.8 27B](https://cryptgpu.com/models/qwen3.8-27b/): 27B, 56 GB of BF16 weights; cheapest server 1× RTX 4090 at $269/mo (Ollama + Open WebUI, qwen3.8:27b (quantized)).
- [Gemma 4 31B](https://cryptgpu.com/models/gemma-4-31b/): 31B, 63 GB of BF16 weights; cheapest server 1× RTX 5090 at $329/mo (Ollama + Open WebUI, gemma4:31b (quantized)).
- [Qwen3.6 35B-A3B](https://cryptgpu.com/models/qwen3.6-35b-a3b/): 35B MoE · 3B active, 72 GB of BF16 weights; cheapest server 1× RTX 5090 at $329/mo (Ollama + Open WebUI, qwen3.6:35b (quantized)).
- [gpt-oss-120b](https://cryptgpu.com/models/gpt-oss-120b/): 117B MoE · 5.1B active, 65 GB of MXFP4 weights; cheapest server 1× RTX PRO 6000 at $959/mo (vLLM or SGLang, official MXFP4 weights).
- [Qwen3-Coder-Next](https://cryptgpu.com/models/qwen3-coder-next/): 80B MoE · 3B active, 159 GB of BF16 weights; cheapest server 1× RTX PRO 6000 at $959/mo (Ollama + Open WebUI, qwen3-coder-next (quantized)).
- [Mistral Small 4](https://cryptgpu.com/models/mistral-small-4/): 119B MoE, 121 GB of FP8 weights; cheapest server 2× RTX PRO 6000 at $1,918/mo (vLLM or SGLang, official FP8 weights).
- [DeepSeek-V4-Flash](https://cryptgpu.com/models/deepseek-v4-flash/): 284B MoE · 13B active, 167 GB of FP4/FP8 weights; cheapest server 4× RTX PRO 6000 at $3,836/mo (vLLM or SGLang, official FP4/FP8 weights).
- [GLM-5.3-Flash](https://cryptgpu.com/models/glm-5.3-flash/): 320B MoE · 18B active, 328 GB of FP8 weights; cheapest server 8× RTX PRO 6000 at $7,672/mo (vLLM or SGLang, official FP8 weights).
- [Qwen3.5 397B-A17B](https://cryptgpu.com/models/qwen3.5-397b/): 397B MoE · 17B active, 807 GB of BF16 weights; cheapest server 8× RTX PRO 6000 at $7,672/mo (vLLM or SGLang, FP8).
- [DeepSeek-R1-0528](https://cryptgpu.com/models/deepseek-r1/): 671B MoE · 37B active, 689 GB of FP8 weights; cheapest server 2× MI355X at $2,818/mo (Ollama + Open WebUI, deepseek-r1:671b (quantized)).
- [Kimi K2.6](https://cryptgpu.com/models/kimi-k2.6/): 1T MoE · 32B active, 595 GB of INT4 weights; cheapest server 4× B300 at $16,076/mo (vLLM or SGLang, official INT4 weights).
- [DeepSeek-V4-Pro](https://cryptgpu.com/models/deepseek-v4-pro/): 1.6T MoE · 49B active, 893 GB of FP4/FP8 weights; cheapest server 8× B200 at $27,512/mo (vLLM or SGLang, official FP4/FP8 weights).
- [Kimi K3](https://cryptgpu.com/models/kimi-k3/): 2.8T MoE · 104B active, 1561 GB of MXFP4 weights; cheapest server 8× B300 at $32,152/mo (vLLM or SGLang, official MXFP4 weights).

## Data and API
- [Pricing API](https://cryptgpu.com/docs/api/): public read-only JSON, no key, CORS open.
- [OpenAPI 3.1 description](https://cryptgpu.com/api/v1/openapi.json): every endpoint, valid GPU ids and server sizes; usable as a tool by AI agents.
- [All GPUs and prices, JSON](https://cryptgpu.com/api/v1/gpus): specifications, price per GPU per month, market reference.
- [Server quote, JSON](https://cryptgpu.com/api/v1/quote?gpu=h200&n=8): monthly price and resources of any configuration.
- [Market check, CSV](https://cryptgpu.com/api/v1/market.csv): lowest, median and highest on-demand price per GPU, 23 September 2026.
- [Full reference for language models](https://cryptgpu.com/llms-full.txt): every price, GPU, model, policy and FAQ answer in one text file.

## Documentation
- [Your first hour on a new GPU server](https://cryptgpu.com/docs/getting-started/): Log in to your new GPU server, check its GPUs, CPU, memory and disks, update the OS and create a sudo user. Commands for Ubuntu 22.04 and 24.04 LTS.
- [SSH access: keys, firewall, tunnels and file transfer](https://cryptgpu.com/docs/ssh-access/): Set up ed25519 keys and ~/.ssh/config, turn off password logins, add ufw and fail2ban, keep jobs alive in tmux, tunnel Jupyter and copy data with rsync.
- [Billing, crypto payments and renewals](https://cryptgpu.com/docs/billing-and-payments/): How CryptGPU billing works: prepaid monthly terms in USD, paying in BTC, ETH, USDT, XMR or LTC, renewals, changing servers, end of term and refunds.
- [NVIDIA drivers, CUDA and Fabric Manager on Ubuntu](https://cryptgpu.com/docs/nvidia-drivers-cuda/): Install the NVIDIA driver and CUDA toolkit on Ubuntu, enable persistence mode, run Fabric Manager on HGX servers, check NVLink, use MIG and fix Xid errors.
- [ROCm on AMD Instinct MI355X: install and verify](https://cryptgpu.com/docs/amd-rocm/): Install the AMD GPU driver and ROCm on an MI355X server, check it with rocminfo and amd-smi, run PyTorch and ROCm containers, choose GPUs and test RCCL.
- [Docker with GPUs: NVIDIA and ROCm containers](https://cryptgpu.com/docs/containers/): Install Docker and the NVIDIA Container Toolkit, run NGC and ROCm images with GPU access, reserve GPUs in Docker Compose and keep data on NVMe.
- [Multi-GPU on one server: topology, NCCL and torchrun](https://cryptgpu.com/docs/multi-gpu/): Read the GPU topology, set useful NCCL variables, launch 2, 4 or 8 GPU jobs with torchrun, measure bus bandwidth with nccl-tests and use RCCL on AMD MI355X.
- [Serving LLMs with vLLM on dedicated GPUs](https://cryptgpu.com/docs/inference-serving/): Serve open models with vLLM on 1 to 8 GPUs: tensor parallelism, FP8 and 4-bit quantization, an OpenAI-compatible API behind SSH or TLS, and GPU monitoring.
- [Serve LLMs with SGLang on a GPU server](https://cryptgpu.com/docs/sglang/): Deploy SGLang on a GPU server: install with uv or Docker, sglang serve on localhost with an API key, tensor and expert parallelism, FP8, AMD MI355X.
- [Fine-tune an LLM with LoRA and QLoRA](https://cryptgpu.com/docs/fine-tuning-lora/): Fine-tune an LLM with LoRA or QLoRA on a GPU server: memory needed per model size, a TRL SFTTrainer script, Unsloth, multi-GPU runs and vLLM serving.
- [Local NVMe, RAID 0 and moving data in and out](https://cryptgpu.com/docs/storage-and-data/): Identify, format and mount NVMe drives by UUID, build an optional RAID 0 with mdadm, move datasets with rsync and rclone, and back up before your term ends.
- [Run Ollama and Open WebUI on a GPU server](https://cryptgpu.com/docs/ollama-open-webui/): Run Ollama and Open WebUI on a GPU server: install script, systemd settings, models on NVMe, Open WebUI in Docker on localhost, SSH or Caddy, OpenAI API.
- [Run ComfyUI on a GPU server](https://cryptgpu.com/docs/comfyui/): Install ComfyUI on an Ubuntu GPU server: PyTorch for CUDA 13, models on NVMe with the hf CLI, one systemd service per GPU, ComfyUI-Manager and SSH tunnels.
- [JupyterLab on a GPU server](https://cryptgpu.com/docs/jupyterlab/): Run JupyterLab on a GPU server: PyTorch for CUDA or ROCm in a venv, a systemd service on localhost with a password, SSH tunnel access and GPUs per notebook.

## Blog
- [USDT on Tron (TRC-20) or Ethereum (ERC-20): which network to pay with](https://cryptgpu.com/blog/usdt-trc20-vs-erc20/): USDT TRC-20 vs ERC-20: same Tether dollar, two blockchains. Address formats, fees in TRX or ETH (checked October 2026), finality and the wrong-network risk.
- [Self-hosted AI coding assistant: a private Copilot on your GPU server](https://cryptgpu.com/blog/self-hosted-coding-assistant/): Run a self-hosted AI coding assistant on your own GPU server: pick a coding model, size it for your team, serve it with vLLM and connect VS Code or Cline.
- [Best GPU for Stable Diffusion, Flux and AI video in 2026](https://cryptgpu.com/blog/best-gpu-for-image-and-video-generation/): Best GPU for Stable Diffusion, Flux and AI video: official model sizes and VRAM needs of FLUX, SD 3.5, Qwen-Image, Wan 2.2 and LTX-2.5, RTX 5080 to H200.
- [How to pay for a GPU server with Monero (XMR), step by step](https://cryptgpu.com/blog/pay-for-gpu-server-with-monero/): How to pay for a server with Monero: choose and back up a wallet, get XMR ready, send the exact amount on the invoice and keep the transaction key as proof.
- [GPU VPS vs dedicated GPU server: what you actually get](https://cryptgpu.com/blog/gpu-vps-vs-dedicated-gpu-server/): GPU VPS vs dedicated GPU server: time-sliced GPUs, MIG slices, vGPU profiles and passthrough compared on isolation, memory, NVLink, drivers and billing.
- [How to rent a GPU server anonymously: a practical privacy guide](https://cryptgpu.com/blog/rent-gpu-server-anonymously/): How to rent a GPU server anonymously: what identifies you (KYC, card, email, IP, SSH keys, blockchain), the steps that limit it, and what stays visible.
- [Self-host an LLM: a private ChatGPT on your own GPU server](https://cryptgpu.com/blog/self-host-llm-private-chatgpt/): How to self-host an LLM as a private ChatGPT: pick an open model, size the GPU, run Ollama with Open WebUI or vLLM, lock down access, and what it costs.
- [Best GPU for LLM inference in 2026: memory, bandwidth and price](https://cryptgpu.com/blog/best-gpu-for-llm-inference/): Best GPU for LLM inference in 2026: VRAM, bandwidth and price of 10 GPUs, and the cheapest server for each model size, from 8B to 1T.
- [GPU clouds that accept crypto: 29 providers checked](https://cryptgpu.com/blog/gpu-clouds-that-accept-crypto/): Which GPU clouds accept Bitcoin, USDT or Monero? We checked the payment pages of 29 providers in September 2026: coins, processors, billing and KYC.
- [What 40 GPU clouds charge: September 2026 market check](https://cryptgpu.com/blog/gpu-cloud-prices-september-2026/): Lowest, median and highest on-demand GPU prices across 40 clouds on 23 September 2026, hyperscalers and marketplaces compared, and how we set our prices.
- [Monthly vs hourly GPU rental: where the break-even is](https://cryptgpu.com/blog/monthly-vs-hourly-gpu-pricing/): At the median on-demand price, a monthly GPU server pays off after about 510 hours, or 16.8 hours a day. The exact break-even per GPU, and when hourly wins.
- [How much GPU memory (VRAM) does your model need?](https://cryptgpu.com/blog/how-much-gpu-memory-llm/): Formulas for weights, KV cache and training memory, worked examples for Llama 3.1, Qwen3, gpt-oss and DeepSeek, and the GPU servers that fit each model.
- [B300 vs B200 vs H200 vs MI355X: which flagship GPU to rent](https://cryptgpu.com/blog/flagship-gpus-2026-b300-b200-h200-mi355x/): Verified specs of the B300, B200, H200 and MI355X: memory, bandwidth, links, FP8, FP4 and FP64, with price per GB of GPU memory and the workloads each suits.
- [AMD MI355X: 288 GB of HBM3E at an H100-class price](https://cryptgpu.com/blog/mi355x-288gb-value/): The AMD MI355X pairs 288 GB of HBM3E and 8 TB/s with a price below the H100: specs, ROCm support, caveats and memory per dollar vs the H100 and H200.

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