--- title: "Rent A800 PCIE — $0.466/hr Cloud GPU Pricing (2026) | PowerGPU" description: "Rent the A800 PCIE (80 GB GDDR6) from $0.233/hr interruptible or $0.466/hr on-demand — fixed, ≥30% below market. 10 GPUs in 0 regions, per-second billing." url: https://powergpu.ai/gpu/a800-pcie last_modified: 2026-09-14T11:04:20+00:00 prices_as_of: 2026-09-14 site: PowerGPU (powergpu.ai) --- GPU · NVIDIA · prices checked 2026-09-14 # Rent NVIDIA A800 PCIE — 80 GB, $0.466/hr on-demand - VRAM 80 GB GDDR6 - FP16 tensor 240 TFLOPS - PowerScore 169 RTX 3090 = 100 - Configs 1–1× PCIe 3.0 - Online now 10 0 regions [On-demand (guaranteed) $0.466 /GPU-hr ≈ $340/mo · market ~~$0.67~~ (−30%)](https://cloud.powergpu.ai/?gpu=a800-pcie) [Interruptible $0.233 /GPU-hr flat −50% · pausable, disk kept](https://cloud.powergpu.ai/?gpu=a800-pcie&type=spot) [Reserved 3 mo $0.302 /GPU-hr −35% · capacity held for you](https://powergpu.ai/products/reserved) Billed per second, price locked at deploy. Storage $0.08/GB/mo · bandwidth $0.01/GB — [the whole fee schedule](https://powergpu.ai/pricing). Next weekly market re-check: 2026-09-21. GPU · NVIDIA architecture A cost-efficient card for right-sized jobs: batch inference, smaller models, CI pipelines and experiments where a flagship would idle. Per-second billing makes it perfect for short bursts. ## NVIDIA A800 PCIE specs: VRAM, TFLOPS, bandwidth - **GPU model**: NVIDIA A800 PCIE · **Architecture**: NVIDIA - **VRAM**: 80 GB GDDR6 · **Memory bandwidth**: — - **FP16 tensor perf.**: 240 TFLOPS · **FP32 perf.**: — - **CUDA cores**: — · **TDP**: — - **PowerScore ((RTX 3090 = 100))**: 169 · **PCIe generation**: Gen 3.0 - **Multi-GPU**: 1× – 1× · **Max instance storage**: 0 GB NVMe - **Network up to**: 0 Mbps · **CUDA**: 12.4 – 13.0 Bandwidth, CUDA cores, TDP and FP32 are public NVIDIA figures; FP16 tensor is the dense (non-sparsity) number. Machine-level values come from live inventory. ## A800 PCIE price per hour: on-demand, interruptible, reserved One public rule sets every price on this page: the marketplace median for the A800 PCIE ($0.67/hr, snapshot 2026-09-14) × 0.70, rounded down — so on-demand is $0.466, **30% below market**. Interruptible halves it; a 3-month reservation takes another 35% off. | Mode | Per GPU-hour | Per day (24 h) | Per month (730 h) | What you get | | --- | --- | --- | --- | --- | | **On-demand** | $0.466 | $11.18 | $340 | Guaranteed capacity, price locked at deploy, stop anytime | | **Interruptible** | $0.233 | $5.59 | $170 | Flat −50%; may pause under capacity pressure, disk kept, auto-requeue | | **Reserved (3 months)** | $0.302 | $7.25 | $220 | −35% on on-demand, rate locked for the term, capacity held | Per GPU: an 1× machine costs exactly 1× — no multi-GPU premium. Estimate a full month with storage and bandwidth in the [GPU cost calculator](https://powergpu.ai/calculator). ## What you can run on a A800 PCIE (80 GB VRAM) With 80 GB of GDDR6, a single card holds a **~32B-parameter LLM in FP16** or up to **~123B parameters quantized to 4-bit**, with room for KV-cache at practical context lengths. Scale to 1× GPUs on one machine for bigger models or bigger batches — the per-GPU price stays $0.466. - One-click template: [Ollama on a A800 PCIE](https://powergpu.ai/templates/ollama) - One-click template: [SD WebUI Forge on a A800 PCIE](https://powergpu.ai/templates/sd-webui-forge) - One-click template: [Whisper WebUI & API on a A800 PCIE](https://powergpu.ai/templates/whisper-webui-api) - Sizing help: [LLM VRAM requirements guide](https://powergpu.ai/guides/llm-vram-requirements) ## A800 PCIE availability by region 10 × A800 PCIE across 0 machines, live from inventory: ## A800 PCIE vs alternatives: price per TFLOP | GPU | VRAM | FP16 | On-demand | $ / TFLOP-hr | | --- | --- | --- | --- | --- | | **A800 PCIE** (this card) | 80 GB | 240 | $0.466 | $1.94‰ | | [L40S](https://powergpu.ai/gpu/l40s) | 48 GB | 362 | $0.514 | $1.42‰ | | [A100 PCIE](https://powergpu.ai/gpu/a100-pcie) | 80 GB | 312 | $0.374 | $1.20‰ | | [L40](https://powergpu.ai/gpu/l40) | 48 GB | 181 | $0.235 | $1.30‰ | | [L4](https://powergpu.ai/gpu/l4) | 24 GB | 121 | $0.225 | $1.86‰ | ‰ = dollars per 1,000 TFLOP-hours of FP16 — a rough value-for-compute yardstick across cards. ## Renting a A800 PCIE: frequently asked questions **How much does it cost to rent an NVIDIA A800 PCIE per hour?** $0.466 per GPU-hour on-demand — a fixed price set at least 30% below the current market median of $0.67. Interruptible capacity costs $0.233/hr and a 3-month reservation $0.302/hr. Around $340/month if you keep one running non-stop, billed per second. **What can a A800 PCIE with 80 GB VRAM run?** In LLM terms, roughly a 32B-parameter model in FP16 or up to ~123B parameters 4-bit quantized on a single card, with context headroom. Multi-GPU instances (up to 1× on current inventory) multiply that; diffusion and rendering workloads fit comfortably at this VRAM class. **Is the A800 PCIE available to rent right now?** Yes — 10 GPUs across 0 machines in 0 regions are listed as we render this page. Configurations go from 1× to 1×. Deploy from the console and it is running in about 30 seconds. **How do I deploy a A800 PCIE?** Create an account (email + password, no card, no KYC), top up in crypto, open the console, filter by A800 PCIE, pick a machine and a template such as PyTorch, vLLM or ComfyUI. The same deploy is one command with the CLI: powergpu launch --gpu a800-pcie --template pytorch. **Why is the A800 PCIE cheaper here than on GPU marketplaces?** We price from the public marketplace median and fix our on-demand rate at least 30% below it, rounded down. The price is re-checked weekly (next check 2026-09-21) and published — no auctions, no per-host roulette, no bidding. --- *About PowerGPU:* PowerGPU (powergpu.ai) is a cloud GPU rental service offering 80 NVIDIA GPU models — from the RTX A2000 at $0.024/hr to the B300 — at fixed prices set at least 30% below the public GPU marketplace median and re-checked weekly (H100 SXM: $1.428/hr on-demand). Billing is per second with no minimums; payment is crypto only (USDT, BTC, XMR, ETH, SOL, LTC, TRX) with no KYC. Instances run in Tier-III datacenters across 32 regions with a 99.9% uptime SLA and deploy in about 30 seconds from the web console (cloud.powergpu.ai) or the REST API. Source: https://powergpu.ai/gpu/a800-pcie · Site index for AI assistants: https://powergpu.ai/llms.txt · Full content: https://powergpu.ai/llms-full.txt