V

Verda

Active

Formerly datacrunch.io — renamed, same platform.

Affordable GPU cloud for AI/ML with H100s, A100s, and flexible instances

verda.com · Founded 2020 · Tallinn, Estonia · Verified: 2026-10-25
8.75
Overall
8
Ease of Use
8
Pricing
9
GPU Variety
10
Enterprise

GPU Pricing

GPU ModelVRAMSpot $/hrOn-demand $/hrTrendAvailable
1x B200 SXM6 180GB192GB$4.22$8.44 In Stock
1x H200 SXM5 141GB141GB$2.97$6.54 In Stock
1x H100 SXM5 80GB80GB$2.23$4.56 In Stock
1x A100 SXM4 80GB80GB$1.08$4.56 In Stock
1x A100 SXM4 40GB40GB$0.79$1.56 In Stock
1x Tesla V100 16GB32GB$0.11$0.23 In Stock
1x L40s 48GB48GB$0.9$1.81 In Stock
1x RTX 6000 Ada 48GB48GB$0.71$1.43 In Stock
1x RTX A6000 48GB48GB$0.39$0.79 In Stock
1x RTX PRO 6000 96GB96GB$1.26$2.52 In Stock
1x A100 SXM4 80GB—$1.96$3.92 In Stock
1x A100 SXM4 40GB80GB$0.79$1.56 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

Verda is active here, founded in 2020, headquarters Tallinn. It is the provider previously listed as DataCrunch. Billing is per hour. The recorded payment method is credit card. Every platform feature we track is set, including spot, reserved instances, Kubernetes, and SOC 2. The published rows include B200, H200, H100 SXM, A100, L40S, V100, RTX 6000 Ada, RTX A6000, and RTX PRO 6000.

Why Verda stands out

The old profile called this a beta with a thin catalogue. The card no longer says that. The pricing-competitiveness score is at the top of the directory. Read the hourly rows, including the smaller cards, not only H100 and A100.

Pros

  • Published B200, H200, H100, A100, L40S, and RTX 6000-class rows
  • Per-hour billing and credit card
  • Spot, reserved, Kubernetes, Jupyter, Docker, an API, and persistent storage all set
  • Marked SOC 2 compliant, Tallinn, founded 2020

Cons

  • Credit card is the only payment method on file
  • A rebrand means older DataCrunch links should land here. If a quote still says DataCrunch, confirm it is the same account

Getting started

  1. Open Verda and match a row on this page to their hourly instance.
  2. Pay by credit card.
  3. Use spot or reserved, Kubernetes, or Jupyter. All of those are recorded.

Best for: Hourly H100, H200, A100, or B200 capacity from the Tallinn cloud formerly known as DataCrunch, with Kubernetes, spot, and a SOC 2 flag.

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