AI infrastructure that doesn't break your runway.

It depends on which Blazing tier you land on. The reference base rate is the GCP-Spot equivalent — $0.0472 per physical core-hour + $0.0080 per GiB-hour — and the SKU multiplier model layers on top: Spot 1×, On-Demand 3×, CUD 1-year 2.16×, CUD 3-year 1.62×, Confidential VM 4×. A canonical 4 vCPU + 16 GiB workload runs ~$162/month on DFC (Blazing’s edge tier — 1× rate, not preemptible, 20 TB free egress / month then $0.01/GB) versus ~$487/month on GCP On-Demand. Akash Network bids (a DePIN reverse-auction marketplace) typically land ~2× cheaper than DFC, with a $0.004/physical-core-hour platform surcharge on top. We pick the tier per workload on the call.

You can absolutely go direct — Blazing has a $30 free credit and no payment for idle resources, you can be live in an afternoon. The reason teams work with us is the same reason you’d work with any infrastructure integrator: we’ve done it before, we know where the integration pain points are, and we ship it in days instead of weeks. Blazing builds the platform; we make it work for your specific stack — your auth provider, your CI/CD, your existing data pipelines. If you have an in-house infrastructure team that wants to learn Blazing themselves, we’re happy to advise and step out.

A scoping engagement and a delivery quote, both transparent and fixed-price. We share the numbers on the pre-engagement call before any money changes hands — pricing depends on the size of the workload, the number of stakeholders, and the depth of system integration in scope. You pay Blazing directly for compute. We don’t mark up infrastructure. Ongoing support, when you want it, is a separate monthly engagement covering capacity reviews, workload tuning, and on-call coverage.

Five at the moment: GCP, AWS, OCI, Akash Network, and Digital Frontier Cloud (DFC) — with DFN (a second edge provider) coming soon. Workloads route across them automatically based on cost, performance, and data sovereignty rules you define. Most production deployments use a hyperscaler tier (GCP / AWS / OCI on-demand or spot) plus an edge tier (DFC, fixed-price 1× rate, 20 TB free egress / mo) and / or a DePIN tier (Akash) for cost optimisation. Confidential compute via AMD SEV/TEE is available across the on-demand providers when regulated workloads need it.

No rewrite for the model itself — Blazing’s configuration is YAML-driven and the runtime accepts any container. If your model runs in Docker today, it runs on Blazing. The work we do is around the deployment layer (auto-scaling rules, workload placement, observability wiring) rather than the model code.

A pilot deployment for one production workload. We scope it on the call before quoting — pricing depends on integration complexity. The pilot ends with the workload running on Blazing in production, observability hooked up, and your team comfortable operating it. From there you decide whether to expand. We won’t push you toward a larger engagement until the pilot has earned it.

Per-second billing across all tiers, no minimum commitments, $30 free credits to start, no credit card required. Storage is tiered: SSD $0.221/GiB/month, Balanced $0.130, Standard $0.052, local NVMe $0.325 (all at GCP list × 1.3 platform margin; ephemeral and RAM disk are included in compute). Compute rates per physical core-hour: Spot $0.0472 (1× base), CUD 3-year $0.0765, CUD 1-year $0.1020, On-Demand $0.1416, Confidential $0.1888. Memory $0.0080/GiB-hour at the base. Akash bids land roughly 2× cheaper than DFC plus a $0.004/physical-core-hour platform surcharge. No payment for idle resources between requests.

Compliance posture varies by underlying cloud provider — GCP, for example, holds SOC 2 and ISO 27001 and supports HIPAA-eligible configurations and EU data residency. Workload routing rules can enforce residency at the platform level — i.e. “this workload only runs in EU clouds, never US.” For regulated industries we architect specifically for the framework you need and pull the current Blazing posture docs ahead of the call.