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Compare GPU and LLM inference API pricing between Packet AI and Paperspace. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Packet AI Price | Paperspace Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Paperspace | Not Available | 4x GPU | — | |
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Packet AI | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 SXM 80GB VRAM • Paperspace | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
L40S 48GB VRAM • Packet AI | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 6000 Pro 96GB VRAM • Packet AI | Not Available | — | ||
RTX 6000 Pro 96GB VRAM • | ||||
RTX A4000 16GB VRAM • Paperspace | Not Available | — | ||
RTX A4000 16GB VRAM • | ||||
RTX A5000 24GB VRAM • Paperspace | Not Available | — | ||
RTX A5000 24GB VRAM • | ||||
RTX A6000 48GB VRAM • Paperspace | Not Available | 8x GPU | — | |
RTX A6000 48GB VRAM • | ||||
Tesla V100 32GB VRAM • Paperspace | Not Available | 8x GPU | — | |
Tesla V100 32GB VRAM • | ||||
A100 SXM 80GB VRAM • Paperspace | Not Available | 4x GPU | — | |
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Packet AI | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 SXM 80GB VRAM • Paperspace | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
L40S 48GB VRAM • Packet AI | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 6000 Pro 96GB VRAM • Packet AI | Not Available | — | ||
RTX 6000 Pro 96GB VRAM • | ||||
RTX A4000 16GB VRAM • Paperspace | Not Available | — | ||
RTX A4000 16GB VRAM • | ||||
RTX A5000 24GB VRAM • Paperspace | Not Available | — | ||
RTX A5000 24GB VRAM • | ||||
RTX A6000 48GB VRAM • Paperspace | Not Available | 8x GPU | — | |
RTX A6000 48GB VRAM • | ||||
Tesla V100 32GB VRAM • Paperspace | Not Available | 8x GPU | — | |
Tesla V100 32GB 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
Interactive Jupyter notebooks with a free tier, pre-configured templates, and access to powerful GPUs.
Serve machine learning models as scalable API endpoints.
High-performance virtual machines with a wide variety of NVIDIA GPUs for demanding workloads.
Features for teams to collaborate on projects, including shared drives and SSO.
Offers persistent storage that can be shared across different machines and notebooks.
Programmatic access to the Paperspace platform to automate workflows.
Virtual machines with a wide range of NVIDIA GPUs for various workloads.
Managed Jupyter notebooks for interactive development and experimentation.
A serverless product for deploying trained models as REST APIs.
Pay per second with no long-term commitments or minimum usage requirements
Advanced resource optimization that reduces costs by eliminating idle GPU time
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
Sign up for a Paperspace account. You can start with a free plan.
Select the product that best fits your needs, such as Gradient Notebooks for interactive development or Core Machines for more control.
Choose a pre-configured template for your desired framework and select a GPU or CPU instance.
Launch your machine or notebook and begin building, training, or deploying your AI applications.
Data centers are located in the US (Secaucus, NJ and Santa Clara, CA) and Europe (Amsterdam, NL).
Support is available through a community forum, extensive documentation, and a support ticket system.