--- title: "Replicate Alternative (2026): GPU Prices vs PowerGPU" description: "Replicate vs PowerGPU: Tesla T4 price, billing, payment (crypto, no KYC) and what maps to what when you switch. Public list prices checked 2026-09-04." url: https://powergpu.ai/alternatives/replicate last_modified: 2026-09-14T11:04:20+00:00 prices_as_of: 2026-09-14 site: PowerGPU (powergpu.ai) --- Alternative · prices checked 2026-09-04 # Replicate alternative: same NVIDIA GPUs, fixed prices 30% under the market Replicate runs models — thousands of public ones plus anything you package as a Cog container — behind a REST API and per-model versioning, with no server to manage. Billing is per second of GPU time actually used during a prediction, metered separately by hardware tier; some models are billed per output instead. There is no VM, no SSH and no way to keep a machine idle between requests — every run starts a fresh container. 4 min read Updated 2026-09-14 (PowerGPU prices live from the sheet) ## Replicate vs PowerGPU at a glance Replicate Hosted models via API, Cog containers, billed per second of GPU time PowerGPU Fixed prices at market median × 0.70, crypto only, verified datacenters | | Replicate | PowerGPU | | --- | --- | --- | | Billing | Per second of GPU time metered per prediction; some models billed per output instead | Per second, no minimum, price locked at deploy | | Payment | Card, debit card, or bank transfer, per Replicate's billing docs | Crypto only — USDT (TRC-20/ERC-20), BTC, XMR, LTC, ETH, TRX, SOL | | Identity | Account signup; billing must be added once free-run limits are hit | Email + password. No KYC, no card, no stored IP addresses | | Free credit | No blanket credit; a curated "Try for free" collection allows a limited number of runs on specific models before billing is required | None — every hour is ≥30% under the market median instead | | Cheaper tier | None published — a flat per-second rate regardless of volume | Interruptible flat −50% (no auction) · reserved −35% (3+ months) | | Regions | Not published — no region selection exposed to the user | 32 regions on 5 continents, verified datacenters only | | Minimums | None; billed only for the seconds a prediction actually runs | None — 1× to 8× GPUs at the same per-GPU price | | Storage | Not itemised — no user-facing volume product | $0.08/GB/month NVMe, volumes survive instances | | Egress | Not itemised | $0.01/GB in and out, every region | | Access | REST API and client SDKs (Python, Node, etc.) via Cog-packaged models; no SSH, no persistent VM | Containers or full KVM VMs, SSH, Jupyter, REST API, CLI, Python SDK | Replicate column: as published on replicate.com on 2026-09-04. Details change — verify before you decide. ## Replicate vs PowerGPU prices, GPU by GPU Public on-demand list prices per GPU-hour on Replicate's pricing page (2026-09-04) against PowerGPU's fixed rates today — every PowerGPU price is the public marketplace median × 0.70, rounded down, re-checked weekly. | GPU | Replicate list | PowerGPU on-demand | PowerGPU interruptible | Difference | | --- | --- | --- | --- | --- | | [Tesla T4](https://powergpu.ai/gpu/tesla-t4) ($0.000225/s) | $0.81 | **$0.103** | $0.051 | −87% on PowerGPU | | [L40S](https://powergpu.ai/gpu/l40s) ($0.000975/s) | $3.51 | **$0.514** | $0.257 | −85% on PowerGPU | | [A100 SXM4](https://powergpu.ai/gpu/a100-sxm4) (80GB, form factor unspecified; $0.001400/s) | $5.04 | **$0.560** | $0.280 | −89% on PowerGPU | | [H100 SXM](https://powergpu.ai/gpu/h100-sxm) ($0.001525/s) | $5.49 | **$1.428** | $0.714 | −74% on PowerGPU | | [H200](https://powergpu.ai/gpu/h200) ($0.001525/s — same listed rate as H100) | $5.49 | **$2.791** | $1.395 | −49% on PowerGPU | Configurations differ (node sizes, tiers, regions); the note beside each card says which Replicate price is quoted. Negative differences mean Replicate is cheaper on that card. ## When to stay with Replicate - You want to call a hosted model over an API without provisioning anything — thousands of ready-made public models are one request away. - You publish your own model as a Cog container and want Replicate's hosting, versioning and API wrapper around it. - Usage is genuinely spiky at the prediction level and you never want a machine sitting idle between calls. ## Why teams switch to PowerGPU - Per-GPU-hour equivalent: an H100 works out to $5.49/hr on Replicate's meter with no volume discount; PowerGPU fixes the same card at the public market median × 0.70. - A machine you actually keep: SSH, Jupyter, persistent volumes, full root — Replicate has none of that, every prediction is a fresh container with no shell. - Crypto payment with no KYC and no card on file, instead of Replicate's card or bank-transfer billing. - Serverless endpoints here too, scale-to-zero and billed per second, but on a fixed published GPU rate rather than a per-model meter that varies by hardware tier. ## Switching from Replicate: what maps to what | On Replicate | On PowerGPU | | --- | --- | | Public or custom model via API | Serverless endpoint (bring the container — Cog images are OCI-compatible) | | Prediction (per-second GPU meter) | Serverless endpoint, billed per second on the fixed GPU rate | | Cog container | Any OCI image, on a serverless endpoint or an instance you keep running | | Replicate API / client SDKs | powergpu CLI / REST API / Python SDK | *the whole migration, from the shell* ``` pip install powergpu export POWERGPU_API_KEY=pg_live_… # console → API keys powergpu launch --gpu tesla-t4 --template pytorch --disk 100 --volume data:/data # ✓ instance i-52ab77c1 running (24.1s) · $0.103/hr · per second powergpu stop i-52ab77c1 # billing ends this second ``` Data moves the boring way: rsync or rclone from your Replicate 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 | Replicate | PowerGPU | | --- | --- | --- | | 1× Tesla T4, 730 hours on-demand | $591 | **$75** | | 1× Tesla T4, 8 h/day × 20 days | $130 | **$16** | | Same 160 hours, PowerGPU interruptible | — | **$8** | | 500 GB of storage, one month | Not itemised — no user-facing volume product | $40 | Run your own schedule through the [cost calculator](https://powergpu.ai/calculator) — it adds storage and bandwidth and compares against the marketplace median. ## Replicate alternative: FAQ **Is PowerGPU cheaper than Replicate?** Per GPU-hour equivalent, yes on every card compared: Replicate meters the H100 at $0.001525/s ($5.49/hr) and the A100 80GB at $0.001400/s ($5.04/hr), with no volume or reservation discount (checked 2026-09-04); PowerGPU fixes both at the public market median × 0.70. **Can I run my Cog model on PowerGPU?** Yes — a built Cog image is a standard OCI container; deploy it directly as a serverless endpoint, or on an instance if you want to keep the machine between calls. **Does PowerGPU bill per second like Replicate?** Serverless endpoints do, on a fixed per-GPU rate. Instances also bill per second, but you keep the machine running rather than paying per prediction. --- Try the switch for the price of a coffee Top up $40 in USDT or Monero, deploy the same image you run on Replicate, and benchmark it. No card, no KYC, per-second billing — stop it the minute you are done. Replicate and its logo are trademarks of their owner, used here only to identify the compared service; PowerGPU is not affiliated with Replicate. 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/replicate · Site index for AI assistants: https://powergpu.ai/llms.txt · Full content: https://powergpu.ai/llms-full.txt