S

Spheron Network

Active

Decentralized GPU compute marketplace powered by blockchain

spheron.network · Founded 2020 · Singapore · Verified: 2026-10-21
6.5
Overall
8
Ease of Use
4
Pricing
9
GPU Variety
5
Enterprise

GPU Pricing

GPU ModelVRAMSpot $/hrOn-demand $/hrTrendAvailable
NVIDIA H100 marketplace bid80GB$3.35$11.12 In Stock
NVIDIA H100 marketplace bid80GB$2.64$11.12 In Stock
NVIDIA B200 marketplace bid192GB$5.25$11.12 In Stock
NVIDIA H200 marketplace bid141GB—— In Stock
NVIDIA A100 marketplace bid80GB—— In Stock
NVIDIA L40S marketplace bid48GB—— In Stock
RTX 4090 marketplace bid24GB—— In Stock
RTX PRO 6000 marketplace bid96GB—— In Stock
RTX 6000 Ada marketplace bid48GB—— In Stock
RTX 5090 marketplace bid32GB—— In Stock
NVIDIA A100 40GB marketplace bid40GB—— In Stock

Features

Api
Docker
Jupyter
Kubernetes
Multi Gpu
Persistent Storage
Reserved Instances
Soc2 Compliant
Spot Instances

Billing & Payment

Billing Granularity

Per-Hour

Payment Methods

Credit-Card, Crypto

Spheron Network is active here, founded in 2020, headquarters Singapore. The tagline is a decentralized GPU marketplace. Billing is per hour. Payment methods on file are credit card and crypto. The published catalogue includes H100, H200, A100, B200, L40S, RTX 4090, RTX 5090, RTX PRO 6000, RTX 6000 Ada, and A800.

Why Spheron stands out

Our data records persistent storage, multi-GPU, Kubernetes, an API, Jupyter, and Docker. Spot, reserved instances, and SOC 2 are not set. There is a public GPU list. The page used to say the catalogue was still being built. That is out of date.

Pros

  • Published H100, H200, B200, A100, 4090, and 5090 rows
  • Per-hour billing, credit card and crypto
  • Kubernetes, Jupyter, Docker, an API, and persistent storage recorded
  • Singapore, founded 2020

Cons

  • No spot and no reserved instances in our data
  • Not marked SOC 2 compliant

Getting started

  1. Open Spheron and compare an hourly row with this page.
  2. Pay by credit card or crypto.
  3. Use Kubernetes, Jupyter, or Docker. Spot is not listed.

Best for: An hourly decentralized marketplace that lists both H100-class and GeForce cards, with Kubernetes and Jupyter recorded.

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