--- title: "TensorDock Alternative (2026): GPU Prices vs PowerGPU" description: "TensorDock 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/tensordock 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 # TensorDock alternative: same NVIDIA GPUs, fixed prices 30% under the market TensorDock is a marketplace where independent hosts list GPU machines at their own prices across 100+ locations. It is cheap and flexible — per-second billing, VMs and containers — but vCPU, RAM and storage are billed as separate lines and reliability depends on the host. 4 min read Updated 2026-09-14 (PowerGPU prices live from the sheet) ## TensorDock vs PowerGPU at a glance TensorDock GPU marketplace: independent hosts set prices across 100+ locations PowerGPU Fixed prices at market median × 0.70, crypto only, verified datacenters | | TensorDock | PowerGPU | | --- | --- | --- | | Billing | Per second (GPU + vCPU + RAM + storage billed separately) | Per second, no minimum, price locked at deploy | | Payment | Card, prepaid balance | Crypto only — USDT (TRC-20/ERC-20), BTC, XMR, LTC, ETH, TRX, SOL | | Identity | Email and card | Email + password. No KYC, no card, no stored IP addresses | | Free credit | None | None — every hour is ≥30% under the market median instead | | Cheaper tier | Spot on some hosts | Interruptible flat −50% (no auction) · reserved −35% (3+ months) | | Regions | 100+ locations (independent hosts) | 32 regions on 5 continents, verified datacenters only | | Minimums | None | None — 1× to 8× GPUs at the same per-GPU price | | Storage | NVMe ~$0.036/GB/mo + $0.003/vCPU-hr + $0.002/GB RAM-hr | $0.08/GB/month NVMe, volumes survive instances | | Egress | Not itemised | $0.01/GB in and out, every region | | Access | VMs and containers, SSH, API | Containers or full KVM VMs, SSH, Jupyter, REST API, CLI, Python SDK | TensorDock column: as published on tensordock.com on 2026-09-03. Details change — verify before you decide. ## TensorDock vs PowerGPU prices, GPU by GPU Public on-demand list prices per GPU-hour on TensorDock'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 | TensorDock list | PowerGPU on-demand | PowerGPU interruptible | Difference | | --- | --- | --- | --- | --- | | [H100 SXM](https://powergpu.ai/gpu/h100-sxm) (from; hosts set prices) | $2.25 | **$1.428** | $0.714 | −37% on PowerGPU | | [A100 SXM4](https://powergpu.ai/gpu/a100-sxm4) (from) | $1.80 | **$0.560** | $0.280 | −69% on PowerGPU | | [A100 PCIE](https://powergpu.ai/gpu/a100-pcie) (from) | $1.50 | **$0.374** | $0.187 | −75% on PowerGPU | | [L40](https://powergpu.ai/gpu/l40) (from) | $0.95 | **$0.235** | $0.117 | −75% on PowerGPU | | [RTX 6000Ada](https://powergpu.ai/gpu/rtx-6000ada) (from) | $0.75 | **$0.467** | $0.233 | −38% on PowerGPU | | [RTX A6000](https://powergpu.ai/gpu/rtx-a6000) (from) | $0.45 | **$0.281** | $0.140 | −38% on PowerGPU | | [RTX 4090](https://powergpu.ai/gpu/rtx-4090) (from) | $0.35 | **$0.327** | $0.163 | −7% on PowerGPU | | [RTX 3090](https://powergpu.ai/gpu/rtx-3090) (from) | $0.20 | **$0.108** | $0.054 | −46% on PowerGPU | | [RTX A4000](https://powergpu.ai/gpu/rtx-a4000) (from) | $0.10 | **$0.071** | $0.035 | −29% on PowerGPU | | [Tesla V100](https://powergpu.ai/gpu/tesla-v100) (from) | $0.17 | **$0.130** | $0.065 | −24% on PowerGPU | Configurations differ (node sizes, tiers, regions); the note beside each card says which TensorDock price is quoted. Negative differences mean TensorDock is cheaper on that card. ## When to stay with TensorDock - You need a machine in one very specific city and a host happens to be there. - You want the absolute floor price on an old card (A4000, V100) and accept host-dependent reliability. - You are already comfortable with marketplace-style variance in hardware and uptime. ## Why teams switch to PowerGPU - Fixed, all-inclusive prices: no separate vCPU, RAM or disk lines — the per-GPU rate includes the machine. - Verified datacenters only, with a 99.9% SLA, instead of host-by-host reliability. - Crypto payments with no card or KYC, and a flat −50% interruptible tier rather than per-host spot. - Datacenter flagships (H100, H200, B200) always in stock at market median × 0.70, plus RTX 5090s. ## Switching from TensorDock: what maps to what | On TensorDock | On PowerGPU | | --- | --- | | Host machine (VM) | Instance on a verified datacenter machine — same CPU/RAM class shown on every offer | | Spot host | Interruptible instance, flat −50% | | Separate vCPU / RAM / NVMe lines | Included in the per-GPU price; storage $0.08/GB/month | | TensorDock API | REST API, CLI, Python SDK | *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 TensorDock 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 | TensorDock | PowerGPU | | --- | --- | --- | | 1× H100 SXM, 730 hours on-demand | $1,643 | **$1,042** | | 1× H100 SXM, 8 h/day × 20 days | $360 | **$228** | | Same 160 hours, PowerGPU interruptible | — | **$114** | | 500 GB of storage, one month | NVMe ~$0.036/GB/mo + $0.003/vCPU-hr + $0.002/GB RAM-hr | $40 | Run your own schedule through the [cost calculator](https://powergpu.ai/calculator) — it adds storage and bandwidth and compares against the marketplace median. ## TensorDock alternative: FAQ **Is PowerGPU cheaper than TensorDock?** On flagships, yes: TensorDock hosts list the H100 SXM from $2.25/hr and the A100 SXM from $1.80/hr before vCPU, RAM and disk (checked 2026-09-03); PowerGPU fixes both at market median × 0.70 all-inclusive. On the cheapest legacy cards TensorDock hosts can be a few cents lower per hour. **Are PowerGPU machines from independent hosts?** No. Every machine sits in a Tier-III colocation facility with redundant power and network, burned in for 72 hours before it is listed. There are no residential hosts. **Do you charge separately for CPU and RAM?** No — the per-GPU price includes the vCPUs and RAM shown on the offer. Only storage and bandwidth are separate lines. --- Try the switch for the price of a coffee Top up $40 in USDT or Monero, deploy the same image you run on TensorDock, and benchmark it. No card, no KYC, per-second billing — stop it the minute you are done. TensorDock and its logo are trademarks of their owner, used here only to identify the compared service; PowerGPU is not affiliated with TensorDock. 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/tensordock · Site index for AI assistants: https://powergpu.ai/llms.txt · Full content: https://powergpu.ai/llms-full.txt