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Compare GPU pricing between Packet AI and Seeweb. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.30/hour between comparable GPUs
| GPU Model ↑ | Packet AI Price | Seeweb Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Packet AISeeweb | ↑+$0.30(+26.0%) | |||
A30 24GB VRAM • Seeweb | Not Available | — | ||
A30 24GB VRAM • | ||||
B200 180GB VRAM • Packet AI | Not Available | — | ||
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • Seeweb | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Seeweb | Not Available | — | ||
H200 141GB VRAM • | ||||
L4 24GB VRAM • Seeweb | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Seeweb | Not Available | — | ||
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • Seeweb | Not Available | — | ||
MI300X 192GB VRAM • | ||||
RTX 4090 24GB VRAM • Packet AI | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX A6000 48GB VRAM • Seeweb | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Seeweb | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
A100 SXM 80GB VRAM • Packet AISeeweb | ↑+$0.30(+26.0%) | |||
A30 24GB VRAM • Seeweb | Not Available | — | ||
A30 24GB VRAM • | ||||
B200 180GB VRAM • Packet AI | Not Available | — | ||
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • Seeweb | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Seeweb | Not Available | — | ||
H200 141GB VRAM • | ||||
L4 24GB VRAM • Seeweb | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Seeweb | Not Available | — | ||
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • Seeweb | Not Available | — | ||
MI300X 192GB VRAM • | ||||
RTX 4090 24GB VRAM • Packet AI | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX A6000 48GB VRAM • Seeweb | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Seeweb | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare Packet AI with another leading provider
Compare Packet AI with another leading provider
Compare Packet AI with another leading provider
Compare Packet AI with another leading provider
Compare Packet AI with another leading provider
Compare Packet AI with another leading provider
Direct SSH access to GPU instances with full root control and native performance
VS Code and Jupyter environments accessible directly in the browser
Drop-in replacement for OpenAI APIs with automatic model discovery and streaming support
Deploy GPU instances in under 5 minutes without procurement cycles or contracts
Advanced scheduling technology that optimizes GPU utilization and reduces costs
Hourly billing with no minimum commitment, pay only for what you use
Scale from 1 to 8 GPUs per instance across all available models
Full Terraform support for automated provisioning and management
Native Kubernetes support for orchestrating GPU workloads
High-bandwidth network connectivity for data-intensive workloads
REST API for server, spot instance, template and snapshot management, with manual or automatic snapshots
On-demand GPU cloud servers with hourly billing and flexible configurations.
Managed serverless GPU inference service billed on usage, without provisioning a full instance.
NPU-accelerated cloud servers for AI inference workloads alongside the GPU lineup.
Pay per second with no long-term commitments or minimum usage requirements
Advanced resource optimization that reduces costs by eliminating idle GPU time
Pay-per-hour billing with no commitment
Discounted hourly rate with 3-month commitment
Further discounted rate with 6-month commitment
Best rate with annual commitment
Reclaimable spare-capacity GPU instances at reduced rates, with termination notice and the option to promote a spot instance to a standard one
Quick account creation with no credit card required to start
Choose from available NVIDIA GPUs including RTX Pro 6000, H200s, and B200s
Instance ready in under 5 minutes with SSH access or web dashboard
Register on the Seeweb platform
Choose GPU model and quantity (1, 2, 4, or 8 GPUs)
Launch your cloud GPU server and start using it
Data centers in Milan (Italy), Frosinone (Italy), Lugano (Switzerland), and Sofia (Bulgaria)
24x7x365 service desk with three support levels (Basic, Global, Proactive) plus pre-sales engineering