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@Ishanee

compute markets @Architect_Fi | prev @PanteraCapital

opinions are my own
New York Joined July 2020
1.3K Following 2.3K Followers 299 Posts

Latest posts 5

Ish Verified account @Ishanee
If your organization is using OSS Models for internal use or needs inference for your product, this should be your go-to website.

1. Compare live offers from white-listed providers
2. Request for inference quotes (fixed rates and term lengths)
3. Match up!

An example: Request 6-months of fixed price on GLM 5.3 capped at 100B tokens/day at $X/mToken.
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Ish Verified account @Ishanee
We're also giving out credits to early users providing the team with feedback
Architect Verified account @Architect_Fi Oct 12
Onboarding to Liquid Inference takes 3 easy steps:
1. Fund your workspace - new accounts start with free credit
2. Make a Preset under Rules once, use it forever
3. Send your first prompt and compare costs and model output side by side
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Ish Verified account @Ishanee
We have a few providers who want to offer 3 to 6-month fixed-rate inference on open-weight models to your enterprise.

ZDR and some are SOC-2 compliant. DM for intros.
Brian Armstrong Verified account @brian_armstrong Oct 11
We were able to fine tune an open weight model (Qwen3.5-9B) on proprietary internal data at @coinbase, and it out performed frontier models, at much lower cost and speed, for a specialized task (fraud prevention in this case).

I think we'll see more of this pattern inside companies. The frontier models are amazing generalists. But increasingly you'll see specialist models out perform on more narrow tasks, either working on teams, or by themselves.

We're making it easy to fine tune models internally for our employees. We even have a skill for it in our internal harness that makes it easy to spin these up and start training them:

"/fine-tune-and-serve-llm I want to fine-tune Qwen for payments risk review. help me get started"

I imagine we'll have some backend services that could be replaced entirely by this new architecture.
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