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Supascale AI review

Updated September 28, 2026 · DeployCue Editorial Team · Facts checked September 26, 2026

We earn a commission when you sign up through links on this site. Partner status can affect where a brand appears in our rankings. Partners with a live offer in your country come first, then every other brand by score.

Our verdict

Supascale AI fits small teams that want a free plan, prepaid credits and a private network mesh more than they want datacenter silicon. Its GPU hour of $0.10 to $5 lands above the €0.63 here, and the catalogue leans on RTX and Radeon consumer cards rather than the server parts SberCloud stocks.

Key facts

Best for
Small teams wanting a private encrypted network mesh with prepaid AI model credits and a free plan.
GPU models
NVIDIA GeForce RTX 2070, NVIDIA GeForce RTX 3070, NVIDIA GeForce RTX 4070 SUPER, NVIDIA GeForce 940M, NVIDIA RTX PRO 4000 Blackwell Generation Laptop GPU, AMD Radeon RX 7600↗
GPU hour from
$0.10 to $5↗
Billing granularity
Hourly↗
Free credits
500 tokens on the free plan↗
Interconnect
Zero-trust peer-to-peer encrypted private network mesh with single API access, web or on-premise, smart orchestration across connected GPU hosts↗
Compliance certifications
SOC 2 Type II, ISO 27001, GDPR↗
Legal entity
Supascale Inc. (Delaware, US C-Corp, primary contracting entity); Supascale (Pty) Ltd (South Africa, reg. 2025/980236/07)↗
Headquarters
United States↗
Founded
2025↗
Support channels
Email, Community↗
Pricing model
Hourly billing, Free tier
Official website
supascale.ai

LLM gateways

Fee model
Pay-as-you-go prepaid credits for AI models; private network free for 1 user, then $20/user per month, enterprise custom↗
Providers routed
4↗
Free tier
Yes↗

Facts checked September 26, 2026, 4 sources

Apps and profiles

Elsewhere
LinkedInXgithub.comdiscord.gg

Pros and cons

Pros

  • GPU hourly rates of $0.10 to $5 bill on hourly, so a short test run costs a fraction of a committed node.
  • The free plan includes 500 tokens on the free plan, enough to confirm an API call before any credit is bought.
  • The private network mesh is free for a single user, then charged per user, which keeps a first deployment cheap.
  • Billing covers both models on hourly and free tier, so a project can move from free credits to paid hourly work without switching plans.
  • Compliance certifications include SOC 2 Type II, ISO 27001 and GDPR, so buyers with a vendor review have something to check.

Cons

  • The catalogue is NVIDIA GeForce RTX 2070, NVIDIA GeForce RTX 3070 and NVIDIA GeForce RTX 4070 SUPER, so datacenter parts such as B300, H100 and A100 are not on the list.
  • Model breadth sits well below the lineup on H100 SXM, A100 SXM and H200.
  • Support runs on email and community only, with no phone or live chat listed.
  • The service routes to 4 providers, fewer than most gateways in this group.
Supascale AI

Ready to try Supascale AI?

Scored 9.2 / 10 by DeployCue.

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Who it suits

  • Teams that already own RTX or Radeon cards and want a private encrypted mesh across those hosts rather than rented datacenter capacity.
  • Developers testing a model endpoint on a free plan before committing prepaid credits.
  • Buyers who need SOC 2 Type II, ISO 27001 and GDPR on a supplier checklist and prefer pay-as-you-go over reservations.

Who should look elsewhere

  • Teams that need datacenter GPUs, since the catalogue holds no B300 or H100 class parts, unlike SberCloud.
  • Model shoppers who want a long card list, where ComputePrices.com carries H100 SXM, A100 SXM and H200.
  • Anyone wanting a large provider spread for routing, where Salad covers a wider mix of consumer and workstation parts.

What it does well

The interconnect is the reason to look here. Connected GPU hosts join an encrypted peer-to-peer private network mesh reached through a single API, from the web or from on-premise, with smart orchestration spread across whatever machines are plugged in. The commercial shape is friendlier than most control planes here: the private network is free for a single user, then a flat charge per user each month, with enterprise terms handled separately. Around that, GPU work is metered on hourly and free tier, which covers both hourly usage and the free plan. In practice the platform is for spreading a workload over a handful of cards you or your team already own, with a private layer on top, not for renting a cluster.

Hardware and regions

The marketplace lists NVIDIA GeForce RTX 2070, NVIDIA GeForce RTX 3070 and NVIDIA GeForce RTX 4070 SUPER, a mix of desktop and laptop silicon from NVIDIA and AMD rather than server parts. That mix makes sense with the interconnect model, since the mesh is built for connected hosts wherever they sit, and it is a different sourcing pattern from a fixed region list. If the workload needs certified server silicon instead, SberCloud is the named comparison: B300, H100 and A100 are datacenter accelerators of the kind a rack deployment would normally use, and none of them appear in this catalogue. For a shopping list of current cards across many vendors, H100 SXM, A100 SXM and H200 is broader still, while Salad stays in the same consumer and workstation territory with NVIDIA RTX 3060, NVIDIA RTX 3070 and NVIDIA RTX 3070 Ti.

Free plan and trial

A free tier is offered, and it carries 500 tokens on the free plan. That is small enough to be a genuine smoke test rather than a production allowance, so it suits confirming that requests route correctly before spending anything. Paid usage runs on prepaid credits with a pay-as-you-go approach for AI models, metered at hourly, so a team can stop a job and stop paying for it. The wider cost model is not only compute: the private network is free for a single user, then a flat monthly charge for each additional user, with enterprise pricing set separately, which is the line to watch as more people join a private deployment.

Who runs it

The primary contracting entity is Supascale Inc., a Delaware C-Corp in the US, alongside Supascale (Pty) Ltd in South Africa. The US headquarters is US and the company was founded in 2025, which makes it one of the newer names in this group. For enterprise buyers, the compliance certifications are SOC 2 Type II, ISO 27001 and GDPR, a useful starting point for a vendor review. Support is the part worth planning around, since the listed channels are email and community, so an urgent infrastructure question runs through email or the community rather than a phone line.

How Supascale AI compares

Frequently asked questions

What does a GPU hour cost on Supascale AI?+

GPU time starts at $0.10 to $5 and is billed on hourly. That entry point sits above the €0.63 seen across comparable listings, so it is not the cheapest silicon available, though short jobs stay affordable because nothing is reserved ahead of time.

Is there a free plan, and what does it include?+

A free tier is offered and includes 500 tokens on the free plan. It is a small allowance, which makes it useful for confirming an integration or checking a response path rather than for sustained work. Paid usage then runs on prepaid credits.

Which GPUs can I rent?+

The marketplace lists NVIDIA GeForce RTX 2070, NVIDIA GeForce RTX 3070 and NVIDIA GeForce RTX 4070 SUPER, covering desktop and laptop NVIDIA parts plus an AMD Radeon RX 7600. None of them are datacenter accelerators, so anyone needing B300, H100 and A100 would look at a different provider.

Does Supascale AI hold security certifications?+

The stated compliance certifications are SOC 2 Type II, ISO 27001 and GDPR. Those cover security auditing and data protection, which usually satisfies the start of an enterprise vendor review. Contracts run through Supascale Inc. in the US and Supascale (Pty) Ltd in South Africa.

How is the private network billed?+

The private network is free for a single user, then a flat monthly charge per additional user, with enterprise pricing set separately. Compute on hourly and free tier is metered on top of that, so a wider team adds a predictable fixed line to the hourly spend.

What kinds of support are offered?+

The listed support channels are email and community. That means written answers and community help, with no phone line or live chat in the mix, so teams that need round-the-clock escalation should factor that into a decision. The company itself is based in the United States.

How many AI providers can it route to?+

The service routes to 4 providers, a compact set for anyone building fallback between model vendors. The catalogue is weighted toward the models available on the network, so routing breadth is not its main draw.

Sources

  • app.supascale.ai/marketplace checked September 26, 2026

    Backs: GPU hour from, GPU models

    “Price Range ($/hr) $0.10 $5.00”

  • app.supascale.ai/pricing checked September 26, 2026

    Backs: Billing granularity, Free credits, Pricing model

    “Tokens are credits you use to rent GPU time. Each GPU has a specific token rate per hour.”

  • supascale.ai checked September 26, 2026

    Backs: Compliance certifications, Fee model, Free tier, Interconnect, Support channels

    “Built on zero-trust private networking backed by SOC 2 Type II, ISO 27001, and GDPR compliance.”

  • supascale.ai/terms-of-service checked September 26, 2026

    Backs: Founded, Headquarters, Legal entity, Providers routed

    “Supascale (Pty) Ltd, a private company incorporated in the Republic of South Africa, registration number 2025 / 980236 / 07”

Compiled from 4 source pages, checked September 26, 2026. We did not open an account.

Not confirmed yet: Egress fee.

Supascale AI

Supascale AI

Small teams wanting a private encrypted network mesh with prepaid AI model credits and a free plan.

9.2/10See alternatives