Compute Comparison
vs
All providers →
HyperAIvsSpheron

HyperAI vs Spheron: Pricing, Specs, Strengths & Weaknesses

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for HyperAI and Spheron. Rates sourced from public APIs — verify current availability and billing terms before purchasing.

Overview

Attribute
HyperAI
Spheron
Provider type
Specialist
Marketplace
Founded
2023
2022
Headquarters
Asia
United States
Billing model
Prepaid
On-demand (per-minute), Spot, Reserved
Min commitment
None
20-minute minimum runtime
Support tier
Community → Standard
Community → Standard
Regions
2 regions
3 regions

Strengths & Best For

HyperAI

HyperAI offers GPU containers and Jupyter notebook environments on prepaid terms, providing a straightforward way to access H100, A100, and RTX GPU compute for AI training and experimentation. The prepaid model gives teams cost predictability without monthly subscription commitments, making it accessible for researchers and small teams that want flexible GPU access with a simple billing model.

Strengths
  • Prepaid billing — cost predictability without subscriptions
  • Jupyter notebook environments included
  • H100 and A100 availability
  • Simple self-serve platform
Weaknesses
  • Smaller provider — limited scale
  • Prepaid model less flexible than on-demand
  • Limited documentation and support resources
Best For
Researchers wanting prepaid GPU accessTeams needing notebook-based GPU environmentsCost-predictable AI experimentation
Visit HyperAI
HyperAI Rating

No reviews yet — add yours ↗

Spheron

Spheron is a GPU marketplace sourcing from certified data center partners globally. GPU catalog: B300 Blackwell, B200 Blackwell, H200, H100, MI300X, GH200, A100, RTX PRO 6000, RTX 5090, L40S, RTX 4090 — on-demand and spot. GB200 and GB300 available to reserve. NVIDIA R100 Rubin (288 GB HBM4) pre-order. Per-minute billing, 20-minute minimum. Accepts USDT/USDC.

Strengths
  • B300, H100, RTX 4090 — competitive live pricing
  • Spot pricing available on H200, H100, A100
  • MI300X — AMD high-VRAM option
  • NVIDIA R100 Rubin pre-order available
  • Per-minute billing, 20-minute minimum, no contracts
  • Accepts USDT and USDC crypto payments
Weaknesses
  • Marketplace model — hardware consistency varies by partner
  • 20-minute minimum runtime (not per-second)
  • No enterprise SLAs
Best For
Cost-sensitive AI workloads needing multi-provider flexibilityTeams wanting vetted marketplace GPU accessSpot-tolerant batch training and inferenceCrypto-native teams
Visit Spheron
Spheron Rating

No reviews yet — add yours ↗

Live GPU Pricing

Live prices load below.

Region Coverage

HyperAI — 2 regions
APACUS
Spheron — 3 regions
USEUAPAC

Popular Comparisons

AWSvsGoogle Cloud
AWSvsAzure
Google CloudvsAzure
AWSvsOracle Cloud
Lambda LabsvsRunPod
Lambda LabsvsCoreWeave
CoreWeavevsRunPod
RunPodvsVast.ai

Provider pages

HyperAI pricing and specs Spheron pricing and specs

Key differences

HyperAI

GPU containers and notebooks sold on prepaid terms

Spheron

B300, H100, B200, H200 — per-minute billing, 20-min minimum

AttributeHyperAISpheron
Provider typespecialistmarketplace
Billing modelPrepaidOn-demand (per-minute), Spot, Reserved
Min commitmentNone20-minute minimum runtime
Regions2 (APAC, US)3 (US, EU, APAC)
Support tierCommunity → StandardCommunity → Standard
Best forResearchers wanting prepaid GPU access, Teams needing notebook-based GPU environmentsCost-sensitive AI workloads needing multi-provider flexibility, Teams wanting vetted marketplace GPU access
Founded / HQ2023 · Asia2022 · United States