--- title: "AWS GPU Alternative (2026): GPU Prices vs PowerGPU" description: "AWS vs PowerGPU: H100 SXM price, billing, payment (crypto, no KYC) and what maps to what when you switch. Public list prices checked 2026-09-03." url: https://powergpu.ai/alternatives/aws last_modified: 2026-09-14T11:04:20+00:00 prices_as_of: 2026-09-14 site: PowerGPU (powergpu.ai) --- Alternative · prices checked 2026-09-03 # AWS GPU alternative: same NVIDIA GPUs, fixed prices 30% under the market Amazon EC2 sells GPUs as instance families — P5 (8× H100), P4d (8× A100 40 GB), G6e (L40S), G5 (A10G), G4dn (T4) — billed per second with a one-minute minimum, plus Spot, Savings Plans and prepaid Capacity Blocks. The integration with S3, IAM, VPC and SageMaker is unmatched; the list prices and quota process are the cost. 4 min read Updated 2026-09-14 (PowerGPU prices live from the sheet) ## AWS vs PowerGPU at a glance AWS Amazon EC2 GPU instances: P5 (H100), P4d (A100), G6e (L40S), G5 (A10G), G4dn (T4) PowerGPU Fixed prices at market median × 0.70, crypto only, verified datacenters | | AWS | PowerGPU | | --- | --- | --- | | Billing | Per second, 60-second minimum | Per second, no minimum, price locked at deploy | | Payment | Card, invoicing | Crypto only — USDT (TRC-20/ERC-20), BTC, XMR, LTC, ETH, TRX, SOL | | Identity | Card and identity verification; GPU quotas must be requested | Email + password. No KYC, no card, no stored IP addresses | | Free credit | Free tier excludes GPU instances | None — every hour is ≥30% under the market median instead | | Cheaper tier | Spot (−50–70%, interruptible), Savings Plans, Capacity Blocks | Interruptible flat −50% (no auction) · reserved −35% (3+ months) | | Regions | 30+ | 32 regions on 5 continents, verified datacenters only | | Minimums | P5 and P4d are 8-GPU instances only | None — 1× to 8× GPUs at the same per-GPU price | | Storage | EBS gp3 $0.08/GB/mo | $0.08/GB/month NVMe, volumes survive instances | | Egress | $0.09/GB after the first 100 GB | $0.01/GB in and out, every region | | Access | VMs, SageMaker, EKS, full AWS API | Containers or full KVM VMs, SSH, Jupyter, REST API, CLI, Python SDK | AWS column: as published on aws.amazon.com on 2026-09-03. Details change — verify before you decide. ## AWS vs PowerGPU prices, GPU by GPU Public on-demand list prices per GPU-hour on AWS's pricing page (2026-09-03) against PowerGPU's fixed rates today — every PowerGPU price is the public marketplace median × 0.70, rounded down, re-checked weekly. | GPU | AWS list | PowerGPU on-demand | PowerGPU interruptible | Difference | | --- | --- | --- | --- | --- | | [H100 SXM](https://powergpu.ai/gpu/h100-sxm) (p5.48xlarge on-demand, us-east-1, per GPU · Capacity Blocks ~$5.19) | $6.88 | **$1.428** | $0.714 | −79% on PowerGPU | | [A100 SXM4](https://powergpu.ai/gpu/a100-sxm4) (p4d.24xlarge, 40 GB per GPU, per GPU) | $4.10 | **$0.560** | $0.280 | −86% on PowerGPU | | [L40S](https://powergpu.ai/gpu/l40s) (g6e.xlarge) | $1.86 | **$0.514** | $0.257 | −72% on PowerGPU | | [A10](https://powergpu.ai/gpu/a10) (g5.xlarge (A10G 24 GB)) | $1.01 | **$0.168** | $0.084 | −83% on PowerGPU | | [Tesla T4](https://powergpu.ai/gpu/tesla-t4) (g4dn.xlarge) | $0.53 | **$0.103** | $0.051 | −81% on PowerGPU | Configurations differ (node sizes, tiers, regions); the note beside each card says which AWS price is quoted. Negative differences mean AWS is cheaper on that card. ## When to stay with AWS - Your data lives in S3 with IAM policies and compliance frameworks you cannot re-certify elsewhere. - You use SageMaker, Bedrock or EKS as the platform, not just the GPU. - An enterprise agreement already discounts your list prices heavily. ## Why teams switch to PowerGPU - Price: an H100 SXM on p5.48xlarge is $6.88 per GPU-hour on-demand; PowerGPU fixes it at the public market median × 0.70 — a several-fold gap on the same silicon. - One GPU when you need one GPU: P5 and P4d only come as 8-GPU instances; PowerGPU rents 1× to 8× at the same per-GPU price. - No quota requests, no card, no KYC: deploy in 30 seconds after a crypto top-up. - Egress at $0.01/GB versus $0.09/GB — a 10 TB result set costs $100 here, about $900 on AWS. ## Switching from AWS: what maps to what | On AWS | On PowerGPU | | --- | --- | | p5.48xlarge (8× H100) | 8× H100 SXM machine, or 1×/2×/4× at the same per-GPU price | | g6e / g5 instance | L40S / A10 instance, or an RTX 5090 at a fraction of the price | | EBS volume | Volume, $0.08/GB/month | | Spot instance | Interruptible instance, flat −50%, auto-requeue | | Deep Learning AMI | PyTorch / NGC / CUDA templates or a full Ubuntu VM | *the whole migration, from the shell* ``` pip install powergpu export POWERGPU_API_KEY=pg_live_… # console → API keys powergpu launch --gpu h100-sxm --template pytorch --disk 100 --volume data:/data # ✓ instance i-52ab77c1 running (24.1s) · $1.428/hr · per second powergpu stop i-52ab77c1 # billing ends this second ``` Data moves the boring way: rsync or rclone from your AWS machine to a PowerGPU [volume](https://powergpu.ai/products/volumes), which then mounts on every future instance in seconds. Templates for [PyTorch](https://powergpu.ai/templates/pytorch), [vLLM](https://powergpu.ai/templates/vllm), [ComfyUI](https://powergpu.ai/templates/comfyui) and [Ollama](https://powergpu.ai/templates/ollama) are official images; anything else runs from its OCI reference. ## A real month, costed | Scenario | AWS | PowerGPU | | --- | --- | --- | | 1× H100 SXM, 730 hours on-demand | $5,022 | **$1,042** | | 1× H100 SXM, 8 h/day × 20 days | $1,101 | **$228** | | Same 160 hours, PowerGPU interruptible | — | **$114** | | 500 GB of storage, one month | EBS gp3 $0.08/GB/mo | $40 | Run your own schedule through the [cost calculator](https://powergpu.ai/calculator) — it adds storage and bandwidth and compares against the marketplace median. ## AWS GPU alternative: FAQ **How much cheaper is PowerGPU than AWS for an H100?** AWS lists p5.48xlarge at $55.04/hr on-demand in us-east-1 — $6.88 per H100 (checked 2026-09-03); PowerGPU fixes the H100 SXM at the public market median × 0.70. Even AWS Capacity Blocks (~$5.19/GPU-hr, prepaid) stay far above. **Can I rent a single H100 on PowerGPU?** Yes — 1×, 2×, 4× or 8× per machine at the same per-GPU price, deployed in about 30 seconds. On AWS the P5 family only exists as 8-GPU instances. **What about data in S3?** Pull it once onto a PowerGPU volume (AWS egress applies on their side), then every instance mounts it from NVMe. Results go back for $0.01/GB. --- Try the switch for the price of a coffee Top up $40 in USDT or Monero, deploy the same image you run on AWS, and benchmark it. No card, no KYC, per-second billing — stop it the minute you are done. AWS and its logo are trademarks of their owner, used here only to identify the compared service; PowerGPU is not affiliated with AWS. NVIDIA GPU names are trademarks of NVIDIA Corporation. --- *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/alternatives/aws · Site index for AI assistants: https://powergpu.ai/llms.txt · Full content: https://powergpu.ai/llms-full.txt