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Compare GPU and LLM inference API pricing between AceCloud and Zettabyte. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $1.43/hour between comparable GPUs
| GPU Model ↑ | AceCloud Price | Zettabyte Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • AceCloud | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A2 16GB VRAM • AceCloud | 2x GPU | Not Available | — | |
A2 16GB VRAM • | ||||
A30 24GB VRAM • AceCloud | 2x GPU | Not Available | — | |
A30 24GB VRAM • | ||||
H100 SXM 80GB VRAM • AceCloudZettabyte | ↑+$1.43(+64.8%) | |||
H100 SXM 80GB VRAM • $3.63/hour Updated: 7/16/2026 $2.20/hour Updated: 7/13/2026 ★Best Price Price Difference:↑+$1.43(+64.8%) | ||||
H200 141GB VRAM • AceCloud | Not Available | — | ||
H200 141GB VRAM • | ||||
L4 24GB VRAM • AceCloud | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • AceCloud | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • AceCloud | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX A6000 48GB VRAM • AceCloud | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • AceCloud | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
A100 SXM 80GB VRAM • AceCloud | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A2 16GB VRAM • AceCloud | 2x GPU | Not Available | — | |
A2 16GB VRAM • | ||||
A30 24GB VRAM • AceCloud | 2x GPU | Not Available | — | |
A30 24GB VRAM • | ||||
H100 SXM 80GB VRAM • AceCloudZettabyte | ↑+$1.43(+64.8%) | |||
H100 SXM 80GB VRAM • $3.63/hour Updated: 7/16/2026 $2.20/hour Updated: 7/13/2026 ★Best Price Price Difference:↑+$1.43(+64.8%) | ||||
H200 141GB VRAM • AceCloud | Not Available | — | ||
H200 141GB VRAM • | ||||
L4 24GB VRAM • AceCloud | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • AceCloud | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • AceCloud | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX A6000 48GB VRAM • AceCloud | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • AceCloud | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare AceCloud with another leading provider
Compare AceCloud with another leading provider
Compare AceCloud with another leading provider
Compare AceCloud with another leading provider
Compare AceCloud with another leading provider
Compare AceCloud with another leading provider
On-demand NVIDIA GPUs including A2, A30, L4, L40S, A100, H100, H200, RTX A6000, RTX 6000 Ada, and RTX PRO 6000 for AI training, inference, GenAI, rendering, VFX, HPC, and data analytics
Published GPU instance pricing with monthly plans, longer-term commitment savings, and pay-as-you-go options with no hidden charges
Managed Kubernetes with GPU node groups, autoscaling clusters, NVIDIA GPU Operator support, managed control plane, custom node pools, observability, and built-in security
Cloud compute on AMD EPYC and Intel Xeon processors with NVMe storage, one-click deployments, autoscaling, backups, and scalable VM resources
Cloud storage, S3-compatible object storage, block storage, managed databases, VPC networking, load balancers, floating IPs, firewall/security groups, DDoS protection, and private networking
ISO-certified environments, data sovereignty, VPC isolation, multi-zone redundancy, and a 99.99% uptime SLA
Launch GPU instances quickly and scale to hundreds on-demand.
Designed for large-scale training with predictable capacity.
Custom clusters tailored for specific security and procurement needs.
Utilizes a bid/ask system to ensure optimal pricing on GPU resources.
Ensures 99.9% uptime SLA with transparent incident reporting.
GPU cloud servers for AI training, inference, GenAI, HPC, rendering, VFX, and video processing
Managed Kubernetes GPU clusters with autoscaling, GPU Operator support, managed control plane, observability, and high availability
CPU, RAM, standard, and GPU-powered virtual machines with AMD/Intel processors and NVMe storage
Hourly usage-based pricing for GPU and compute instances
Monthly pricing for GPU instances
Savings for longer-term commitments on GPU and compute resources
Lower-cost capacity for flexible or fault-tolerant workloads
Sign up for an AceCloud account, optionally starting with free credits
Select a GPU, compute, Kubernetes, storage, database, or networking service
Choose region, operating system/image, instance flavor, storage, network, and security settings
Launch the instance or cluster from the AceCloud console
Monitor, resize, back up, scale, or manage workloads from the dashboard
Access the main platform to explore available services.
Select between on-demand, reserved clusters, or private cloud.
Provide necessary information to create a user account.
Fill in details for account management and payment.
Follow prompts to deploy your chosen compute resource.
India-first infrastructure with data centers in India (Mumbai, Noida) and the USA. GPU pricing is shown in USD for the Mumbai 2 and US East (Atlanta) regions, derived from monthly rates.
24/7 human support with cloud experts, migration assistance, sales and support contacts, documentation, knowledge base, and consultation options.