Compare · vs Hyperscalers
3× more affordable. Same hardware. Same controls.
The hyperscalers are excellent at almost everything. They are not excellent at GPU pricing or at GPU availability. We are a focused alternative for the workloads where those two factors dominate the decision.
At a glance
The numbers, side by side.
| Property | iframe.ailist price | AWSp5.48xlarge | AzureND H200 v5 | GCPa3-megagpu-8g |
|---|---|---|---|---|
| B200 / GPU-hr | $3.25 | $10.20 | $9.80 | $9.95 |
| H200 / GPU-hr | $2.95 | $8.40 | $8.55 | $8.62 |
| H100 / GPU-hr | $2.25 | $6.85 | $7.10 | $6.95 |
| Provisioning time | minutes | weeks | weeks | weeks |
| Self-serve B200 access | ||||
| VPC interconnect to your VPC | ||||
| Bare metal, single tenant | Partial | Partial | Partial | |
| Managed inference (per-token) | Partial | Partial | Partial | |
| Long-context endpoints (1M) | ||||
| BAA / DPA / SOC 2 Type II | ||||
| Per-second metering | ||||
| Three-year reserved discount | 33% | ~50% | ~52% | ~50% |
Where we win
Three structural advantages.
Price
3× more affordable at list. The advantage shrinks at three-year reserved (we are roughly 1.5× more affordable there) but the absolute number stays smaller.
Availability
B200 capacity is available the same day for self-serve, within forty-eight hours for reserved. Hyperscaler GPU availability is regional, queue-based, and frequently capped.
Inference speed
Our managed inference endpoints run 10-20x faster than the hyperscaler inference services on the same model — the runtime is built in our lab, not licensed.
Where they win
Three places to keep using a hyperscaler.
The other 200 services
We do not run a relational database, a queue, an object lock, or a thousand other services that AWS does. Most customers keep those services on a hyperscaler and move only the GPU compute to us.
Global reach
We operate four regions. Hyperscalers operate dozens. If the workload needs Sydney, Mumbai, and São Paulo, we are the wrong choice today.
Deep procurement integration
If the buying process is mediated by an enterprise discount program with the hyperscaler, the discount can outweigh our list-price advantage. The calculator on the pricing page makes the math explicit.
Move the GPU. Keep the stack.
Most enterprise migrations close in three weeks. The hyperscaler keeps everything else.