T

Thunder Compute

Active

Low-cost cloud GPUs with transparent pricing

thundercompute.com · Founded 2024 · Cambridge, MA · Verified: 2026-11-02
6.75
Overall
8
Ease of Use
6
Pricing
7
GPU Variety
6
Enterprise

GPU Pricing

GPU ModelVRAMSpot $/hrOn-demand $/hrTrendAvailable
RTX A600048GB—$0.35 In Stock
L4048GB—$0.79 In Stock
A100 80GB80GB—$1.09 In Stock
H100 SXM80GB—$3.2 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

Thunder Compute is active here, founded in 2024, headquarters Cambridge, Massachusetts. The tagline is low-cost cloud GPUs with transparent pricing. Billing is per hour. The recorded payment method is credit card. The published rows are RTX A6000, L40, A100 80GB, and H100 SXM.

Why Thunder Compute stands out

Our data records persistent storage, multi-GPU, an API, Jupyter, Docker, and SOC 2. Kubernetes, spot, and reserved instances are not set. “Low-cost” is the tagline. The pricing-competitiveness score is only a little above the middle of this directory, so use the hourly table.

Pros

  • Published A6000, L40, A100 80GB, and H100 SXM
  • Per-hour billing and credit card
  • Jupyter, Docker, an API, multi-GPU, and persistent storage recorded
  • Marked SOC 2 compliant

Cons

  • No Kubernetes, spot, or reserved instances in our data
  • Four published GPUs
  • Founded in 2024

Getting started

  1. Open Thunder Compute and compare the H100 or A100 hourly row.
  2. Pay by credit card.
  3. Use Jupyter or Docker. Kubernetes and spot are not recorded.

Best for: An hourly H100 SXM or A100 with Jupyter and a SOC 2 flag, from a young Cambridge provider, without Kubernetes or spot.

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