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Compare GPU pricing between Gcore and Packet AI. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.01/hour between comparable GPUs
| GPU Model ↑ | Gcore Price | Packet AI Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • GcorePacket AI | ↑+$0.01(+1.0%) | |||
B200 180GB VRAM • Packet AI | Not Available | — | ||
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • Gcore | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Gcore | 8x GPU | Not Available | — | |
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Gcore | 8x GPU | Not Available | — | |
HGX B300 288GB VRAM • | ||||
L40S 48GB VRAM • Gcore | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 4090 24GB VRAM • Packet AI | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
A100 SXM 80GB VRAM • GcorePacket AI | ↑+$0.01(+1.0%) | |||
B200 180GB VRAM • Packet AI | Not Available | — | ||
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • Gcore | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Gcore | 8x GPU | Not Available | — | |
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Gcore | 8x GPU | Not Available | — | |
HGX B300 288GB VRAM • | ||||
L40S 48GB VRAM • Gcore | Not Available | — | ||
L40S 48GB 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 Gcore with another leading provider
Compare Gcore with another leading provider
Compare Gcore with another leading provider
Compare Gcore with another leading provider
Compare Gcore with another leading provider
Compare Gcore with another leading provider
GPU and inference workloads deployable across 50+ cloud locations and 210+ points of presence worldwide
8-GPU B300 SXM servers and 72-GPU GB300 NVL72 racks offered alongside H200, H100, A100 and L40S
Managed inference platform with autoscaling, fast cold starts and protected endpoints, billed on the compute time actually used
Dedicated 8-GPU bare-metal clusters or single-GPU virtual machines, with multi-node clusters provisioned in a single API call and automatic InfiniBand setup
AI Cloud Stack and Everywhere AI for running models on enterprise, third-party cloud or on-premises infrastructure
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
Bare-metal GPU clusters and virtual GPU machines provisioned through the console or API
Managed endpoints for running models across Gcore's global footprint
Hourly billing for self-serve GPU virtual machines, charged only while the instance is powered on
Dedicated 8-GPU servers and multi-node clusters, priced per configuration with hourly, monthly and yearly estimates in the GPU Cloud calculator
Billing determined by the exact compute time used, measured down to the minute
B300 and GB300 NVL72 systems, plus third-party cloud and on-premises deployments, are quoted by the sales team
Pay per second with no long-term commitments or minimum usage requirements
Advanced resource optimization that reduces costs by eliminating idle GPU time
Sign up at the Gcore customer portal
Choose between cloud GPU instances, bare-metal clusters, or the inference platform
Launch via the portal or API and connect over SSH or supported orchestrators
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
50+ cloud locations and 210+ points of presence worldwide; bare-metal GPU clusters are offered in a smaller subset of regions such as Luxembourg
Documentation, API reference, help center, status page and technical support plans