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@shadeformai

Deploy GPU infrastructure from 30+ vetted clouds under a single control plane.
shadeform.com Joined March 2023
133 Following 3.7K Followers 304 Posts

Latest posts 5

Shadeform @shadeformai
Planning a new cluster for 2027?

The decisions you make before it’s racked (network fabric, storage, rack spec, contract terms) decide who will buy it and at what price.

Buyers rely on Shadeform to qualify capacity before they commit, so we see what passes and what gets turned down. Bring us your new and upcoming builds early, and we’ll show you what buyers are asking for while you can still build to it.

Talk to our team: shadeform.com/list-your-clou…
0 replies 4 reposts 64 likes 3.5K views View on X
Shadeform @shadeformai
What happens if you’re 90 days past your RFS date? Do you have a right to walk?

When you purchase GPU capacity through Shadeform, these are the questions that we answer ahead of time in our qualification process.

Every tranche of capacity we put forward goes through a standardized qualification process where we negotiate the MSA and SLAs to protect our customers.

If a provider can’t meet our standards, we don’t put the capacity forward.

Explore vetted compute options across the market: shadeform.com/features/reser…
0:38
1 replies 6 reposts 59 likes 3.6K views View on X
Shadeform @shadeformai
If GPUs are physically identical, what makes the GPU hour non-fungible?

In a conversation with @jessiedong_ and @sonnet_xu, Our COO @jeffreyajewett covered the myriad of factors that cause variability in GPU performance.

In short, everything around the GPUs themselves — the networking, storage, underlying ISPs, region, etc. — has an impact on their ability to perform.

Within a cluster, even on a per GPU node basis, you will often see performance variability for a variety of reasons regarding the setup.

This is why provider due diligence and qualification are core to our work at Shadeform.

We evaluate all of our partners’ clusters against NVIDIA’s official guidelines, disqualify capacity that falls below our standards, and guarantee performance with strict SLAs.
1:03
4 replies 7 reposts 59 likes 4.8K views View on X
Shadeform @shadeformai
The GPU is a commodity. The GPU hour isn't.

Two clusters can share a chip and a price and still be completely different purchases. What you're really buying is the facility it runs in, the exact rack spec, the network and power behind it, the SLA, and the team operating it.

That's what "qualified" means on Shadeform. Before capacity reaches you, it's been checked in 3 ways:

1. The whole stack, not just the GPU.
Every provider goes through the same review of site, power, hardware, network and operations before anything is listed.

2. Ready now means ready now.
Capacity you can deploy today is kept separate from capacity still coming online, so the availability you see is the availability you get.

3. Validated before you commit.
Reserved clusters are built to a standard node and interconnect spec and performance-tested, so what you sign for is what you run.

Not every provider makes it onto our network. That's the point - a single point of access is only as good as what's behind it.

Compare qualified capacity across our network: platform.shadeform.ai