Finally found a way to rent H100s without selling a kidney (MIG Tech)

#hardware #dedicatedservers #gpu #nvidia

Is it just me, or is trying to rent a dedicated H100 or A100 right now an absolute nightmare?

I've been working on some LLM fine-tuning recently, and I kept running into the same problem: Overkill.

I needed the architecture of the H100 (for the transformer engine), but I didn't need the entire card 24/7. Paying $4/hr+ for a GPU that sits idle 80% of the time just burns through the budget.

The "Aha" Moment: Splitting the Hardware

I did some digging and realized I should be looking for MIG (Multi-Instance GPU) capable servers.

If you aren't familiar with it, MIG basically lets you slice a physical GPU (like an A100 or H100) into up to 7 completely isolated instances. It’s not just software partitioning; it’s hardware-level isolation. So you get your own dedicated memory and cache.

The Resource: MIG servers

I came across a provider called MIG servers that specializes exactly in this. I wanted to share it here because their inventory is actually pretty impressive compared to the "Sold Out" signs I see everywhere else.

They seem to have bare metal stock in:

USA: Dallas, LA, Chicago
Europe: Luxembourg, London, Amsterdam
Asia: Incheon, Tokyo

What stood out to me was the flexibility. You can grab a massive 8x H100 cluster if you are training, or just slice up an A100 if you are doing inference.

Why it matters

If you are a DevOps engineer or working in AI, you know that "Time-Slicing" is usually laggy and insecure. MIG solves that.

I wrote a deeper breakdown on my personal blog about the technical specs and pricing comparisons, but I just wanted to drop this here for anyone struggling to find hardware.

To give you an idea of what MIG-ready hardware looks like, here are the specs we typically deploy for these workloads at MIG Servers:

Location	CPU	GPU Configuration	Max MIG Instances
Luxembourg	2x Xeon Platinum 8480+	8x NVIDIA H100 (200Gbps)	56 Instances
Dallas, USA	2x EPYC 9354	8x NVIDIA H100 NVLink	56 Instances
London, UK	2x Xeon Gold 6210U	NVIDIA A30	4 Instances