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Compare GPU pricing between Gonka and Packet AI. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Gonka Price | Packet AI Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Packet AI | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Packet AI | Not Available | — | ||
B200 180GB VRAM • | ||||
RTX 4090 24GB VRAM • Packet AI | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
A100 SXM 80GB VRAM • Packet AI | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Packet AI | Not Available | — | ||
B200 180GB VRAM • | ||||
RTX 4090 24GB VRAM • Packet AI | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare Gonka with another leading provider
Compare Gonka with another leading provider
Compare Gonka with another leading provider
Compare Gonka with another leading provider
Compare Gonka with another leading provider
Compare Gonka with another leading provider
Developers send requests through an OpenAI-compatible endpoint and pay for usage in GNK
A transformer-based proof-of-work mechanism aims to direct nearly all participating hardware at AI inference rather than at separate security computation
GPU owners register as hosts, post collateral, run ML nodes, and are rewarded based on the amount and quality of compute they contribute
Documented bootstrap procedures for hosting models such as DeepSeek, Kimi, and MiniMax across the network
Developers can run their own gateway and broker setup instead of relying on a shared entry point
Ethereum bridge and IBC routes for moving GNK and USDT in and out of the network
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
Inference is paid per request in GNK; per-model rates are published in the network documentation rather than as USD hourly rates
GPU hosts earn GNK according to the amount and quality of compute they contribute to the network
Pay per second with no long-term commitments or minimum usage requirements
Advanced resource optimization that reduces costs by eliminating idle GPU time
Set up a wallet to hold GNK and sign network transactions
Acquire GNK on Uniswap or bridge tokens in from Ethereum
Follow the developer quickstart to point an existing SDK at the network, or run your own gateway
Review the hardware specifications, post collateral, and follow the node setup guide to serve inference
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
Documentation site with FAQ and error reference, Discord community, GitHub repository, and a vulnerability reporting process