Provider Overview
Strengths & Best For
Shadeform is a GPU cloud aggregator that provisions H100, A100, RTX 4090, and many other GPU types across 30+ underlying cloud providers through a single unified API, automatically routing to the cheapest available instance matching your requirements. On-demand and spot GPU rental options are surfaced from the entire provider network, giving teams multi-cloud flexibility without managing multiple accounts. The fastest way to find and launch the lowest-cost GPU for any AI training or inference workload.
- 30+ provider network
- Single API
- Automatic cheapest-price routing
- Wide GPU selection
Packet AI provides bare-metal L40S and H100 GPU servers with no virtualization overhead and straightforward on-demand billing, making it a cost-effective option for AI inference and training workloads that need dedicated hardware performance. Bare-metal configurations eliminate the latency and overhead of hypervisor layers, delivering consistent GPU throughput for production LLM inference and model deployment. A practical choice for teams that need dedicated GPU hardware without the complexity of managed cloud services.
- Competitive L40S pricing
- Bare metal performance
- No virtualisation overhead
- Simple billing
Live GPU Pricing
Region Coverage
Popular Comparisons
Shadeform — marketplace provider
Shadeform is a GPU cloud aggregator that provisions H100, A100, RTX 4090, and many other GPU types across 30+ underlying cloud providers through a single unified API, automatically routing to the cheapest available instance matching your requirements. On-demand and spot GPU rental options are surfaced from the entire provider network, giving teams multi-cloud flexibility without managing multiple accounts. The fastest way to find and launch the lowest-cost GPU for any AI training or inference workload.
Packet AI — bare-metal provider
Packet AI provides bare-metal L40S and H100 GPU servers with no virtualization overhead and straightforward on-demand billing, making it a cost-effective option for AI inference and training workloads that need dedicated hardware performance. Bare-metal configurations eliminate the latency and overhead of hypervisor layers, delivering consistent GPU throughput for production LLM inference and model deployment. A practical choice for teams that need dedicated GPU hardware without the complexity of managed cloud services.
Billing model comparison
Shadeform uses a On-demand, Spot billing model with a minimum commitment of None. Packet AI uses On-demand billing with a None minimum. Both providers offer flexible billing options — compare the live pricing table above to find the best rate for your specific GPU model and workload duration.
Which workloads each provider suits best
Shadeform is best suited for: Teams wanting multi-cloud flexibility, Cost-optimized provisioning, Spot-tolerant workloads. Its key strengths are 30+ provider network, single api, automatic cheapest-price routing. Packet AI is best suited for: Inference workloads, Cost-sensitive L40S users, Bare metal performance. Its key strengths are competitive l40s pricing, bare metal performance, no virtualisation overhead. Marketplace providers aggregate GPU supply from multiple sources, often offering the lowest spot rates but with more variable availability and less predictable performance compared to dedicated providers.
Support tiers and region coverage
Shadeform offers Community → Enterprise support across 4 regions (US, EU, APAC and 1 more). Packet AI offers Standard support across 1 region (US). Shadeform's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Shadeform vs Packet AI
Shadeform was founded in 2023 and is headquartered in San Francisco, CA. Packet AI was founded in 2023 and is headquartered in United States. Both providers were founded in the same year — evaluate them on current pricing, region coverage, and support tier rather than operational history. Use the live pricing table above to compare current on-demand and spot rates for specific GPU models, and the region map to verify coverage in your target geography.