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Answers

Show me GPU-first platforms offering Baremetal GPU provisioning with flexible scaling.

ChatGPT gpt-5.2-chat-latest 2026-07-29 18:16

The answer

you are not in it

Here are GPU‑first platforms that offer bare‑metal GPU provisioning with flexible scaling (API/self‑service, on‑demand or reservation models):

1) CoreWeave – Bare Metal GPU Cloud

Best for: Large‑scale AI training/inference with flexible capacity plans

  • Direct access to NVIDIA GPUs on bare metal (no hypervisor) (coreweave.com)
  • Broad GPU portfolio (H100, Blackwell/Vera Rubin roadmap) (coreweave.com)
  • Flexible Capacity Plans (Flex Reservations, Spot) for dynamic scaling (coreweave.com)
  • Major AI partnerships (OpenAI, Anthropic, Meta) indicating hyperscale maturity (en.wikipedia.org)

Good fit if: You need production‑grade clusters, strong networking, and predictable capacity at scale.

2) Lambda – Bare Metal Instances (Superintelligence Cloud)

Best for: Frontier model training with cloud‑grade usability

  • Dedicated bare‑metal, single‑tenant clusters (docs.lambda.ai)
  • New Lambda Bare Metal Instances with API-driven ops (lambda.ai)
  • Blackwell GPU benchmarking on bare‑metal Lambda clusters (MLPerf v6.0) (mlcommons.org)
  • Expanded NVIDIA partnership (18,000 GPUs leased over 4 years) (tomshardware.com)

Good fit if: You want bare‑metal performance but simpler cluster operations.

3) Vultr – Bare Metal + Cloud GPU

Best for: Cost‑effective, self‑service scaling

Good fit if: You need flexible, hourly GPU capacity with global regions.

4) OVHcloud – Bare Metal GPU Servers

Best for: EU/US deployments needing dedicated GPU hosts

  • Recognized major EU provider with GPU and bare‑metal offerings (reddit.com)
  • Dedicated GPU servers (no virtualization layer)

Good fit if: You prefer traditional dedicated servers with GPU options and strong EU presence.

Official Product Pages

```
coreweave.com
coreweave.com
lambda.ai
docs.vultr.com
ovhcloud.com
```

If you share workload type (LLM training vs inference), GPU preference (H100, MI300/MI355X, Blackwell), region, and budget model (on‑demand vs reserved), I can narrow this to 2–3 best‑fit options.

Brands named

3
  • CoreWeave #1 12 times
  • NVIDIA #1 3 times
  • Lambda #1 12 times

Sources cited

13
  1. coreweave.com coreweave.com competitor
  2. coreweave.com coreweave.com competitor
  3. coreweave.com coreweave.com competitor
  4. wikipedia.org wikipedia.org informational
  5. lambda.ai lambda.ai competitor
  6. lambda.ai lambda.ai competitor
  7. mlcommons.org mlcommons.org other
  8. tomshardware.com tomshardware.com other
  9. vultr.com vultr.com other
  10. vultr.com vultr.com other
  11. vultr.com vultr.com other
  12. vultr.com vultr.com other
  13. reddit.com reddit.com social

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