Provider Overview
Strengths & Best For
CoreWeave is a purpose-built GPU cloud offering H100 SXM5, H200, and A100 clusters with InfiniBand and NVLink interconnects for large-scale AI training and LLM fine-tuning. On-demand and reserved H100 instances are available across US East, US West, and EU regions, with some of the highest GPU density and lowest latency networking of any specialist cloud. A top choice for AI labs and enterprises running multi-node distributed training at scale.
- Highest GPU density
- InfiniBand networking
- Kubernetes-native
- Fast provisioning
Zettabyte provides scalable H100, H200, and A100 GPU infrastructure for large-scale AI training and inference, with enterprise reliability and on-demand and reserved billing options for organizations that need consistent GPU cluster access. High-capacity configurations and a focus on enterprise-grade uptime make it a strong choice for AI labs and enterprises running production LLM workloads at scale. A reliable on-demand GPU cloud for teams that need scalable infrastructure with enterprise-level reliability.
- Scalable infrastructure
- Enterprise reliability
- Large-scale training
Live GPU Pricing
Region Coverage
Popular Comparisons
CoreWeave — specialist provider
CoreWeave is a purpose-built GPU cloud offering H100 SXM5, H200, and A100 clusters with InfiniBand and NVLink interconnects for large-scale AI training and LLM fine-tuning. On-demand and reserved H100 instances are available across US East, US West, and EU regions, with some of the highest GPU density and lowest latency networking of any specialist cloud. A top choice for AI labs and enterprises running multi-node distributed training at scale.
Zettabyte — specialist provider
Zettabyte provides scalable H100, H200, and A100 GPU infrastructure for large-scale AI training and inference, with enterprise reliability and on-demand and reserved billing options for organizations that need consistent GPU cluster access. High-capacity configurations and a focus on enterprise-grade uptime make it a strong choice for AI labs and enterprises running production LLM workloads at scale. A reliable on-demand GPU cloud for teams that need scalable infrastructure with enterprise-level reliability.
Billing model comparison
CoreWeave uses a On-demand, Reserved billing model with a minimum commitment of None. Zettabyte uses On-demand / Reserved billing with a None minimum. Both providers offer flexible billing options — compare the live pricing table above to find the best rate for your specific GPU model and workload duration.
Which workloads each provider suits best
CoreWeave is best suited for: Large-scale AI training, LLM fine-tuning, High-throughput inference. Its key strengths are highest gpu density, infiniband networking, kubernetes-native. Zettabyte is best suited for: Enterprise AI, Large training runs, Production inference. Its key strengths are scalable infrastructure, enterprise reliability, large-scale training. Both providers target similar workload profiles — the live pricing table above is the most reliable way to determine which offers better value for your specific GPU model and region requirements.
Support tiers and region coverage
CoreWeave offers Standard → Enterprise support across 3 regions (US-East, US-West, EU-West). Zettabyte offers Standard support across 1 region (US). CoreWeave's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: CoreWeave vs Zettabyte
CoreWeave was founded in 2017 and is headquartered in Roseland, NJ. Zettabyte was founded in 2022 and is headquartered in United States. CoreWeave has 5 years more operational history than Zettabyte, which may matter for teams evaluating provider stability and long-term contract risk. Use the live pricing table above to compare current on-demand and spot rates for specific GPU models, and the region map to verify coverage in your target geography.