--- title: "Rent A100 SXM4 — $0.560/hr Cloud GPU Pricing (2026) | PowerGPU" description: "Rent the A100 SXM4 (80 GB HBM2e) from $0.280/hr interruptible or $0.560/hr on-demand — fixed, ≥30% below market. 95 GPUs in 7 regions, per-second billing." url: https://powergpu.ai/gpu/a100-sxm4 last_modified: 2026-09-14T11:04:20+00:00 prices_as_of: 2026-09-14 site: PowerGPU (powergpu.ai) --- Datacenter · Ampere · launched 2020 · prices checked 2026-09-14 # Rent NVIDIA A100 SXM4 — 80 GB, $0.560/hr on-demand - VRAM 80 GB HBM2e - FP16 tensor 312 TFLOPS - PowerScore 220 RTX 3090 = 100 - Configs 1–8× NVLink - Online now 95 7 regions [On-demand (guaranteed) $0.560 /GPU-hr ≈ $409/mo · market ~~$0.80~~ (−30%)](https://cloud.powergpu.ai/?gpu=a100-sxm4) [Interruptible $0.280 /GPU-hr flat −50% · pausable, disk kept](https://cloud.powergpu.ai/?gpu=a100-sxm4&type=spot) [Reserved 3 mo $0.364 /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. Datacenter · Ampere architecture The A100 SXM4 (80 GB) adds 600 GB/s NVLink and higher sustained clocks to the Ampere flagship, in 4- and 8-GPU HGX baseboards. For ≤13B pre-training, LoRA farms and FP64 HPC it still wins on total job cost against newer cards — and interruptible A100 supply is deep. A server-class card built for sustained 24/7 load: passive cooling in proper chassis, ECC memory, and drivers validated for compute. The sweet spot for inference fleets and fine-tuning jobs that need stability more than headline FLOPS. ## NVIDIA A100 SXM4 specs: VRAM, TFLOPS, bandwidth - **GPU model**: NVIDIA A100 SXM4 · **Architecture**: Ampere (2020) - **VRAM**: 80 GB HBM2e · **Memory bandwidth**: 2,039 GB/s - **FP16 tensor perf.**: 312 TFLOPS · **FP32 perf.**: 19.5 TFLOPS - **CUDA cores**: 6,912 · **TDP**: 400 W - **PowerScore ((RTX 3090 = 100))**: 220 · **PCIe generation**: Gen 4.0 - **Multi-GPU**: 1× – 8× · NVLink · **Max instance storage**: 8,000 GB NVMe - **Network up to**: 10,000 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. ## A100 SXM4 price per hour: on-demand, interruptible, reserved One public rule sets every price on this page: the marketplace median for the A100 SXM4 ($0.80/hr, snapshot 2026-09-14) × 0.70, rounded down — so on-demand is $0.560, **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** | $0.560 | $13.44 | $409 | Guaranteed capacity, price locked at deploy, stop anytime | | **Interruptible** | $0.280 | $6.72 | $204 | Flat −50%; may pause under capacity pressure, disk kept, auto-requeue | | **Reserved (3 months)** | $0.364 | $8.74 | $266 | −35% on on-demand, rate locked for the term, capacity held | Per GPU: an 8× machine costs exactly 8× — 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 A100 SXM4 (80 GB VRAM) With 80 GB of HBM2e, 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 8× GPUs on one machine with NVLink for bigger models or bigger batches — the per-GPU price stays $0.560. - Recommended for [fine-tuning](https://powergpu.ai/use-cases/fine-tuning) — QLoRA 70B on one GPU - Recommended for [scientific computing](https://powergpu.ai/use-cases/hpc) — Up to 4.8 TB/s per GPU - One-click template: [vLLM on a A100 SXM4](https://powergpu.ai/templates/vllm) - One-click template: [PyTorch on a A100 SXM4](https://powergpu.ai/templates/pytorch) - One-click template: [ComfyUI on a A100 SXM4](https://powergpu.ai/templates/comfyui) - Sizing help: [LLM VRAM requirements guide](https://powergpu.ai/guides/llm-vram-requirements) ## A100 SXM4 availability by region 95 × A100 SXM4 across 8 machines, live from inventory: - Dallas, TX - Singapore - São Paulo - London - Stockholm - Mumbai - Jakarta ## A100 SXM4 vs alternatives: price per TFLOP | GPU | VRAM | FP16 | On-demand | $ / TFLOP-hr | | --- | --- | --- | --- | --- | | **A100 SXM4** (this card) | 80 GB | 312 | $0.560 | $1.79‰ | | [H100 SXM](https://powergpu.ai/gpu/h100-sxm) | 80 GB | 990 | $1.428 | $1.44‰ | | [H200](https://powergpu.ai/gpu/h200) | 141 GB | 990 | $2.791 | $2.82‰ | | [B200](https://powergpu.ai/gpu/b200) | 192 GB | 2,250 | $5.425 | $2.41‰ | | [B300](https://powergpu.ai/gpu/b300) | 288 GB | 2,800 | $6.737 | $2.41‰ | ‰ = dollars per 1,000 TFLOP-hours of FP16 — a rough value-for-compute yardstick across cards. - [H100 SXM vs A100 SXM4](https://powergpu.ai/compare/h100-sxm-vs-a100-sxm4) — specs, price per hour, which to rent - [A100 SXM4 vs A100 PCIE](https://powergpu.ai/compare/a100-sxm4-vs-a100-pcie) — specs, price per hour, which to rent - [RTX 5090 vs A100 SXM4](https://powergpu.ai/compare/rtx-5090-vs-a100-sxm4) — specs, price per hour, which to rent - [All GPU comparisons](https://powergpu.ai/compare) ## Renting a A100 SXM4: frequently asked questions **How much does it cost to rent an NVIDIA A100 SXM4 per hour?** $0.560 per GPU-hour on-demand — a fixed price set at least 30% below the current market median of $0.80. Interruptible capacity costs $0.280/hr and a 3-month reservation $0.364/hr. Around $409/month if you keep one running non-stop, billed per second. **What can a A100 SXM4 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 8× on current inventory) multiply that; diffusion and rendering workloads fit comfortably at this VRAM class. **Is the A100 SXM4 available to rent right now?** Yes — 95 GPUs across 8 machines in 7 regions are listed as we render this page. Configurations go from 1× to 8× with NVLink on multi-GPU chassis. Deploy from the console and it is running in about 30 seconds. **How do I deploy a A100 SXM4?** Create an account (email + password, no card, no KYC), top up in crypto, open the console, filter by A100 SXM4, pick a machine and a template such as PyTorch, vLLM or ComfyUI. The same deploy is one command with the CLI: powergpu launch --gpu a100-sxm4 --template pytorch. **Why is the A100 SXM4 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/a100-sxm4 · Site index for AI assistants: https://powergpu.ai/llms.txt · Full content: https://powergpu.ai/llms-full.txt