packet GPU Cloud Provider
On-demand GPU cloud for AI & ML. Typically 50%+ below market with no contracts. Deploy NVIDIA Blackwell GPUs in minutes with full root SSH access.
Provider Overview
| Name | packet |
| Total Instances | 3 |
| Minimum Price | $0.27/hr |
| Maximum VRAM | 96 GB |
| Available GPU Models |
On-demand GPU cloud for AI & ML. Typically 50%+ below market with no contracts. Deploy NVIDIA Blackwell GPUs in minutes with full root SSH access.
Get Started with packet
Ready to rent GPUs from packet? Sign up now to explore available instances and start your AI workloads.
Visit Provider Website →About the Provider
Pricing Plans
On-Demand
$0
Pay per second, no contracts
Token Factory
$0
Managed inference API, pay per token
Available Instances
| Accelerator | Price/Hour | VRAM | Type | Action |
|---|---|---|---|---|
| RTX PRO 6000 Blackwell | $0.27 | 96 GB | GPU | View GPU → |
| H200 | $1.50 | 80 GB | GPU | View GPU → |
| DGX B200 | $2.00 | 72 GB | GPU | View GPU → |
Available GPUs
Explore GPU specifications and compare pricing for packet
Compare with Other Providers
Explore alternative GPU cloud providers and compare pricing
Related Resources
Compute Capability
Check CUDA compute capability and AI feature support for different GPUs
View Reference →About packet GPU Cloud
packet is a leading GPU cloud provider offering 3 instances across 3 different GPU models. With pricing starting at $0.27/hour, they provide competitive options for AI training, inference, and high-performance computing workloads.
Their infrastructure spans 3 regions, making it easy to deploy GPU instances close to your users or data sources. The provider supports popular NVIDIA GPUs including DGX B200, H200, RTX PRO 6000 Blackwell, enabling a wide range of AI/ML applications from deep learning training to real-time inference.
When choosing packet for your GPU cloud needs, consider factors like pricing, regional availability, and supported GPU models. Their platform integrates with popular ML frameworks like PyTorch, TensorFlow, and JAX, making it straightforward to migrate existing workloads or start new projects.
For cost optimization, compare packet's pricing with other providers using our cost estimator tool. Many users find that packet offers competitive rates for long-running training jobs or high-throughput inference workloads, especially when utilizing their spot or preemptible instance options.
External Resources
Learn more about GPUs from these authoritative sources:
Official CUDA programming guide
NVIDIA GPU Specifications →Official NVIDIA GPU specs
TechPowerUp GPU Database →Comprehensive GPU specifications
CUDA Compute Capability Guide →GPU compute capability reference
Ready to Get Started?
Visit packet's website to create an account and start using their GPU instances.
Visit packet →