--- title: "Rent an A100 80 GB Server · $355.99/mo, Crypto, No KYC" description: "A dedicated NVIDIA A100 with 80 GB of HBM2e for fine-tuning and large models, CUDA preinstalled. Monthly price, crypto, no KYC." url: https://offshoreserv.com/offshore-gpu-servers/a100 lang: en updated: 2026-09-27 source: HTML page at the url above (canonical); this is its Markdown version --- NVIDIA A100 · 80 GB HBM2e · Ampere # Rent an A100 80 GB server. $355.99 a month, no KYC. A dedicated NVIDIA A100 with 80 GB of HBM2e at ~2.0 TB/s, with 16 vCPU, 128 GB of RAM and 3.84 TB NVMe for datasets and checkpoints. The value pick for fine-tuning and for serving large models, at about $0.488 an hour around the clock. **Paid in crypto.** - 80 GB HBM2e, ~2.0 TB/s - 3.84 TB NVMe for data - Ready in 1 to 24 hours - No KYC, crypto only ## One A100 80 GB server, 3 jurisdictions. The GPU is yours alone, with NVMe storage and an unmetered 1 Gbps port. Quarterly billing saves 5%, yearly 12%. | GPU | VRAM | CPU | RAM | Storage | Price | | --- | --- | --- | --- | --- | --- | | **A100 80 GB** (Training and fine-tuning) | 80 GB | 16 vCPU | 128 GB | 3.84 TB NVMe | **$355.99**/mo | Need more bandwidth or FP8? The [H100](https://offshoreserv.com/offshore-gpu-servers/h100) has the same 80 GB at 3.35 TB/s. ## The A100 80 GB, in numbers. NVIDIA’s specifications for the card, and what comes with it in our server. | Specification | A100 80 GB server | | --- | --- | | Architecture | NVIDIA Ampere | | CUDA cores | 6,912 | | GPU memory | 80 GB HBM2e | | Memory bandwidth | ~2.0 TB/s | | Tensor cores | 3rd generation: TF32, BF16, FP16, INT8 | | FP16 / BF16 tensor (dense) | 312 TFLOPS | | FP64 | 9.7 TFLOPS, 19.5 with tensor cores | | CPU, RAM, storage | 16 vCPU · 128 GB · 3.84 TB NVMe | | Network | 1 Gbps, unmetered | | Price | **$355.99**/mo, about $0.488 per hour | ## What runs on 80 GB. The highest precision at which a dense language model fits with an 8K-token context and 10% headroom, the figures of our VRAM guide. | Model size | A100 (80 GB) | L40S (48 GB) | | --- | --- | --- | | 7–8B | 16-bit | 16-bit | | 13–14B | 16-bit | 16-bit | | 32B | 16-bit | 8-bit | | 70B | 4-bit | Does not fit | | 123B | Does not fit | Does not fit | LoRA fine-tuning of models up to about 14B fits in 80 GB; a full fine-tune of a 7–8B model needs about 16 bytes per parameter, so two H100. [How we size models](https://offshoreserv.com/blog/how-much-vram-for-llms) ## When a month beats paying by the hour. At $355.99 a month, the A100 costs about $0.488 an hour if it runs non-stop. Against an hourly rental, the month pays for itself after this much use: | If the hourly rate is | Our month equals | Break-even use | | --- | --- | --- | | $1.50 per GPU-hour | 237 h | 33% of the month | | $2.00 per GPU-hour | 178 h | 24% of the month | | $3.00 per GPU-hour | 119 h | 16% of the month | Hourly rates are examples, not quotes from any provider. We bill monthly, quarterly (−5%) or yearly (−12%), from your balance. ## What an A100 is best at. 80 GB on a single card, at the lowest monthly price for that much memory here. - **Fine-tuning** — LoRA and QLoRA runs on private data that never leaves the server. — [GPU images](https://offshoreserv.com/docs/gpu/images) - **Large models on one card** — A 70B model at 4-bit, or a 32B model at 16-bit, without splitting it across GPUs. — [vLLM guide](https://offshoreserv.com/docs/gpu/images) - **Data-heavy jobs** — Embeddings and batch inference over large datasets, with 3.84 TB NVMe next to the GPU. — A100 plan - **Scientific computing** — FP64 at 9.7 TFLOPS, 19.5 with tensor cores, for simulations that consumer cards run slowly. — [All GPU servers](https://offshoreserv.com/offshore-gpu-servers) ## Where A100 servers run. The same price in each of these jurisdictions. - [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) 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. ## A100 servers, answered. **Another question?** The full FAQ answers what people ask before an order: payments, privacy, complaints and support. ### A100 or H100? Both have 80 GB. The [H100](https://offshoreserv.com/offshore-gpu-servers/h100) is faster, with about 1.7 times the bandwidth and FP8; the A100 costs less per month and is enough for fine-tuning and steady inference. ### Does the A100 support FP8? No. FP8 arrived with the H100. The A100 runs TF32, BF16, FP16 and INT8, and quantized models such as 4-bit and 8-bit formats run well on it. ### Can I rent it by the hour? No. Billing is monthly, quarterly (−5%) or yearly (−12%), paid from your balance. At about $0.488 an hour around the clock, a month costs less than hourly rentals once you use the card for a few hours a day. ### How fast is delivery? Between 1 and 24 hours after you order, depending on the jurisdiction. The access details appear on the server’s page in your client area. ### Are the driver and CUDA installed? Yes, on the Ubuntu 24.04 image. The [GPU images guide](https://offshoreserv.com/docs/gpu/images) covers PyTorch, Ollama, vLLM and ComfyUI. ### Can I get a refund? GPU servers are not refundable once delivered, because the hardware is set aside for you. Check the specifications above before you order. ## Keep reading. Guides, policies and articles picked for this page, written by our team. - [How much VRAM do LLMs need?Model sizes, quantization and the right GPU.](https://offshoreserv.com/blog/how-much-vram-for-llms) - [Dedicated vs cloud GPU Your break-even hours, and privacy.](https://offshoreserv.com/blog/dedicated-gpu-vs-cloud-gpu) - [AI-ready GPU images Drivers, CUDA and the tools preinstalled on GPU servers.](https://offshoreserv.com/docs/gpu/images) - [H100 servers 80 GB of HBM3, up to 4 × H100.](https://offshoreserv.com/offshore-gpu-servers/h100) - [A100, L40S & H100 HBM, ECC and NVLink for training.](https://offshoreserv.com/offshore-gpu-servers/datacenter) - [RTX 4090 servers 24 GB of VRAM for $84.99/mo.](https://offshoreserv.com/offshore-gpu-servers/rtx-4090) ## 80 GB of GPU memory, offshore. 1. Pick a jurisdiction 2. Pay in crypto, no ID asked 3. SSH in within 1 to 24 hours $355.99/mo · dedicated GPU · 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