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GPU & AI Compute Clouds

NextGen Cloud

GPU-accelerated cloud infrastructure purpose-built for sustainable AI and machine learning workloads.

What makes NextGen Cloud different

NextGen Cloud positions itself as a sustainability-focused alternative to hyperscaler GPU clouds, emphasizing energy efficiency and transparent operations. Rather than competing on global scale, the provider concentrates on European data centers powered by renewable energy, making it an attractive choice for organizations prioritizing carbon footprint alongside performance.

The platform is purpose-built for AI and machine learning workloads, offering direct access to modern GPU inventory (H100, A100, L40S) without the abstraction layers that sometimes obscure real resource allocation in larger clouds. NextGen’s container-native architecture enables developers to deploy Kubernetes workloads with minimal overhead, and the provider publishes transparent pricing with no hidden egress fees—a deliberate contrast to hyperscaler cost structures.

Pricing model

NextGen Cloud uses hourly billing for compute resources. GPU instances are priced per hour based on hardware tier; for example, entry-level A100 instances start at significantly lower rates than equivalent capacity on AWS or GCP, with the sustainability angle reflecting their operational model. The platform charges separately for storage and data transfer, but publishes rates publicly without requiring a sales call.

Monthly commitment discounts are available for predictable workloads, reducing per-hour costs by 20–40%. What distinguishes their pricing is radical transparency: no surprise egress charges, no regional markup surprises, and clear per-GPU-per-hour rates.

When it fits

  • AI/ML training and inference: Optimized for PyTorch, TensorFlow, and Hugging Face workloads with direct GPU access and fast interconnects.
  • Batch processing at scale: Multi-node GPU clusters for data science pipelines without the vendor lock-in of proprietary ML platforms.
  • Sustainability-conscious organizations: Teams that need to demonstrate carbon-neutral or renewable-powered infrastructure in compliance or ESG reporting.
  • European teams and data residency requirements: UK and Netherlands regions serve GDPR and data sovereignty constraints.
  • Cost-sensitive AI projects: Research labs and startups that need GPU capacity at lower hourly rates than hyperscalers.

When it doesn’t

NextGen Cloud’s limited geographic footprint (currently two European regions) makes it unsuitable for globally distributed applications requiring low-latency presence in Asia-Pacific or North America. Organizations already deeply integrated into AWS/GCP ecosystems may find limited integration with proprietary services like SageMaker or Vertex AI.

Inclusion criteria

✓ Transparent pricing: Public per-GPU-per-hour pricing available on website with no sales gatekeeping.
✓ Self-service signup: Developer accounts available through web registration.
✓ Public SLA and status page: Status page provides real-time service health and published uptime SLA.