Compare tools
Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
⇄ Comparison dimension — pick the market you're actually shopping in
✕
Granica
✓ verifiedPaid
Enterprise AI infrastructure and research firm offering data-lake optimization (Crunch), agent state (Myelin) and tabular models.
1.2K saves
✕
Nebius
✓ verifiedPaid
AI-focused cloud offering NVIDIA GPU compute, storage and MLOps tooling for training and inference at scale, with usage-based pricing.
678K visits/mo133K saves
Pricing
No public pricing
NVIDIA H100: $3.85/GPU-hour on-demand ($2.15 preemptible)
NVIDIA H200: $4.50/GPU-hour on-demand
NVIDIA B200: $7.15/GPU-hour on-demand
Shared filesystem storage: $0.08/GiB per month
Core features
- ✦Crunch data-lake optimization (20-50% storage reduction)
- ✦Myelin stateful infrastructure for long-running agents
- ✦Large Tabular Models for enterprise data
- ✦Runs inside the customer's environment
- ✦Grounded in peer-reviewed research
- ✦NVIDIA GPU instances (H100, H200, B200, GB200)
- ✦On-demand and preemptible GPU pricing
- ✦High-performance and object storage
- ✦Managed Kubernetes and Slurm (Soperator)
- ✦Serverless and managed inference (Token Factory)
- ✦MLOps tooling and 24/7 expert support
- ✦Commitment discounts up to 35%
Use cases
- →Cutting data storage and compute costs
- →Persisting state for long-running AI agents
- →Applying generative AI to tabular data
- →Running enterprise AI within a private perimeter
- →Train large AI/ML models on GPU clusters
- →Run scalable inference workloads
- →Store and manage large training datasets
- →Run Slurm/Kubernetes AI pipelines
Visit