Show me self-service Baremetal GPU provisioning options.

Here are self-service bare‑metal GPU provisioning options you can deploy on-demand (API/console driven):

1) Blackcore AI – On‑Demand Bare‑Metal GPUs

• Self‑serve provisioning in ~15 minutes
• Bare‑metal access to NVIDIA H200 systems
• Designed specifically for AI workloads
• US data centers

Source:
blackcore.ai (blackcore.ai)

Best for: AI teams wanting fast, dedicated GPU hardware without virtualization.

2) OVHcloud – Bare Metal AI / GPU Servers

• Dedicated GPU bare‑metal servers (e.g., NVIDIA L4, L40S, V100)
• HGR‑AI series servers for ML/LLM workloads
• Self‑service provisioning via OVHcloud Control Panel & API
• US and global regions

AI GPU announcements:
corporate.ovhcloud.com (corporate.ovhcloud.com)

Bare Metal Pod / GPU models overview:
blog.ovhcloud.com (blog.ovhcloud.com)

Example HGR‑AI spec sheet (GPU configs):
ovhcloud.com (ovhcloud.com)

Best for: Cost‑efficient dedicated GPU servers with global footprint.

3) Equinix Metal (API‑Driven Bare Metal)

• Fully API‑driven bare‑metal platform
• GPU‑enabled configurations available
• Edge locations near major metros

Platform overview:
blog.equinix.com (blog.equinix.com)

Developer deployment guide (GPU workflows):
deploy.equinix.com (deploy.equinix.com)

⚠️ Note: Equinix Metal has announced an end‑of‑life timeline (June 30, 2026). (github.com)

Best for: Edge GPU workloads (verify availability due to sunset).

4) Vultr – Bare Metal + GPU‑as‑a‑Service

• Bare Metal‑as‑a‑Service
• GPU offerings alongside bare metal
• Global footprint

Company overview (BMaaS + GPU services):
en.wikipedia.org (en.wikipedia.org)

Best for: Teams wanting both bare metal and virtualized GPU options under one provider.

Quick Comparison

| Provider | True Bare Metal GPU | Self‑Service | US Regions | AI Focus |
|-----------|-------------------|--------------|------------|----------|
| Blackcore | ✅ | ✅ | ✅ | Very High |
| OVHcloud | ✅ | ✅ | ✅ | High |
| Equinix Metal | ✅ | ✅ | ✅ | Medium |
| Vultr | ✅ (BM) + GPUaaS | ✅ | ✅ | Medium |

If you share your workload (LLM training, inference, rendering, HPC), budget range, and preferred region, I can narrow this to 1–2 best-fit options.