Nate Clancy (@Nate_Architect) — posts, photos & videos | PeekX

Nate Clancy

@Nate_Architect

Co-Founder and Chief Business Officer at Architect and the AI Exchange - GPU Compute Futures - UChicago MBA (derogatory), Biotech Bro, Midd Kid

ATL & Chicago architect.co Joined September 2019

972Followers

821Following

426Posts

51Media

1.5KLikes

@Nate_Architect reposted

Documenting ¶Pearl

@DocumentingPRL

Pearl Research Labs @prlnet is one of six launch providers on Liquid Inference, Architect's new LLM router, where inference providers compete to offer the lowest-cost tokens.

Pearl's certified models are built so the GPUs serving them can also mine $PRL.

Brett Harrison@BrettHarrison · Oct 7

We’re excited to launch Liquid Inference with some of the fastest-growing token producers in the ecosystem:
• Engy @engyai
• Pearl Research Labs @prlnet
• AkashML @akashnetAI
• Hyperbolic @hyperbolic_labs
• Boundless @BoundlessHQ
• Zro @zroai_

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@Nate_Architect

Liquid Inference now has a Discover tab with more info on which models received the most routing traffic. Inference providers have more info to optimize their offering.

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@Nate_Architect

As a BD normie, I've been using the "Compare" feature on Liquid Inference most and it's pretty insightful. Way too much friction to get these insights without it. I'd have to create multiple accounts, prompt multiple tabs, copy/paste etc.

With Liquidinference.ai, I see them running side by side in real time, with the output, cost, speed all there.

This is so much more meaningful than any performance test or benchmarks because I'm developing my bespoke benchmarks that can't be gamed.

It's not just for power users. Most businesses can save by efficiently routing inference for things like a social post announcing an event. We're gonna be at Rosenblatt's Fintech Summit btw, post incoming.

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@Nate_Architect

Competition makes everyone better.

We've doubled the amount of inference providers on the platform since launch. Now we're hearing from both customers and the competitors themselves that prices have improved.

Check it out at liquidinference.ai.

Ish@Ishanee · Oct 8

Another provider who started quoting yst and we're seeing markets do their thing ✨

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@Nate_Architect reposted

@BrettHarrison

It’s been one day since the launch of Liquid Inference and we’ve doubled our provider network. We’re cheaper than OpenRouter for Kimi K3, DeepSeek V4.1 Flash, Qwen3.8 27B, and ~30 more models. Every new provider that joins increases price competition.

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@Nate_Architect reposted

@zroai_

Excited to be a launch partner!

Architect@Architect_Fi · Oct 7

Today we’re launching Liquid Inference, an OpenAI/Anthropic-compatible router where inference providers compete on price for every prompt. Buyers route across 700+ open- and closed-weight models at the lowest available marginal cost, providers onboard instantly to start serving models.

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@Nate_Architect reposted

Omer Shlomovits

@OmerShlomovits

Inference markets have a lot of room for innovation. Excited to contribute through @zroai_ to this new product, pushing inference routing toward economic efficiency.
Congrats @BrettHarrison and Architect

Brett Harrison@BrettHarrison · Oct 7

Introducing Liquid Inference by Architect, a new LLM model router where inference providers compete dynamically to offer lowest-cost tokens. Providers onboard in minutes, not weeks. Buyers have full price visibility and receive 20% of referred fees in free inference. More info:

Liquid Inference can be used in place of any OpenAI or Anthropic API-compatible backend. Behind it, our team has leveraged our experience trading and building financial exchanges to create real-time two-sided price discovery for inference. Benefits for buyers and providers:

INFERENCE BUYERS

• Fully compatible with agentic coding tools: Claude Code, Codex, OpenCode, Cursor, Pi, Cline, and many more. Full multi-modal support.
• Hundreds of open- and closed-weight models. Create routing rule presets or use our Auto routing algorithms.
• Providers compete dynamically on price for every prompt, offering the lowest marginal cost.
• Sign up for free with email, first 500 users get $20 of free inference.
• Receive 20% of referred fees as free inference, 10% for second-level referrals.

INFERENCE PROVIDERS

• Onboard through the Liquid Inference app. We verify new providers in minutes, not weeks.
• All prompts are OpenAI API standard. Simple REST/Websocket API to register models and quotes.
• Update quotes dynamically based on your own costs. Monetize GPU capacity only when you want.
• Standardize payouts via Stripe, full itemized records of all jobs performed.

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@Nate_Architect reposted

@AlgodTrading

Looking forward to support @BrettHarrison with @engyai to make inference markets more efficient.

Inference need proper markets and im certain Brett is one of the most qualified persons out there to figure this out.

Engy@engyai · Oct 7

Proud to be a day-1 provider on @Architect_Fi. Inference need real markets and we're bringing capacity to help build them. Congrats @BrettHarrison and team.

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@Nate_Architect reposted

@BoundlessHQ

Boundless is proud to be a launch partner and inference provider on @Architect_Fi’s Liquid Inference router.

Another way for builders to access low-cost inference. Congrats to the Architect team on the launch 🫡

Architect@Architect_Fi · Oct 7

Today we’re launching Liquid Inference, an OpenAI/Anthropic-compatible router where inference providers compete on price for every prompt. Buyers route across 700+ open- and closed-weight models at the lowest available marginal cost, providers onboard instantly to start serving models.

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@Nate_Architect reposted

@engyai

Proud to be a day-1 provider on @Architect_Fi. Inference need real markets and we're bringing capacity to help build them. Congrats @BrettHarrison and team.

Architect@Architect_Fi · Oct 7

Today we’re launching Liquid Inference, an OpenAI/Anthropic-compatible router where inference providers compete on price for every prompt. Buyers route across 700+ open- and closed-weight models at the lowest available marginal cost, providers onboard instantly to start serving models.

0:44

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@Nate_Architect reposted

@akashnetAI

AkashML is the launch partner for @Architect_Fi’s Liquid Inference.

Every prompt is auctioned, and providers compete on price. The request routes to the lowest offer that meets the buyer’s rules.

OpenAI and Anthropic SDKs are compatible with one API key, where the price is locked before the first token.

Decentralized GPUs are now in a live inference market.

Brett Harrison@BrettHarrison · Oct 7

Introducing Liquid Inference by Architect, a new LLM model router where inference providers compete dynamically to offer lowest-cost tokens. Providers onboard in minutes, not weeks. Buyers have full price visibility and receive 20% of referred fees in free inference. More info:

Liquid Inference can be used in place of any OpenAI or Anthropic API-compatible backend. Behind it, our team has leveraged our experience trading and building financial exchanges to create real-time two-sided price discovery for inference. Benefits for buyers and providers:

INFERENCE BUYERS

• Fully compatible with agentic coding tools: Claude Code, Codex, OpenCode, Cursor, Pi, Cline, and many more. Full multi-modal support.
• Hundreds of open- and closed-weight models. Create routing rule presets or use our Auto routing algorithms.
• Providers compete dynamically on price for every prompt, offering the lowest marginal cost.
• Sign up for free with email, first 500 users get $20 of free inference.
• Receive 20% of referred fees as free inference, 10% for second-level referrals.

INFERENCE PROVIDERS

• Onboard through the Liquid Inference app. We verify new providers in minutes, not weeks.
• All prompts are OpenAI API standard. Simple REST/Websocket API to register models and quotes.
• Update quotes dynamically based on your own costs. Monetize GPU capacity only when you want.
• Standardize payouts via Stripe, full itemized records of all jobs performed.

0:44

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@Nate_Architect

Say it once more for the folks in the back: compute is a commodity.

Nobody buys oil or electricity on a monthly subscription. Free yourself from the SaaS paradigm of bundled services and high margins. There's a better way, and it's Liquid Inference. Check it out, first 500 get $20 in free tokens liquidinference.ai.

Leverage the power of market competition for the best possible pricing. Purchase only what's needed. Substitute models and switch suppliers to control costs.

Buyers pay the lowest quote per prompt across any subset of over 700 models. Providers can sell spare GPU capacity and create a new sales channel.

Brett Harrison@BrettHarrison · Oct 7

Introducing Liquid Inference by Architect, a new LLM model router where inference providers compete dynamically to offer lowest-cost tokens. Providers onboard in minutes, not weeks. Buyers have full price visibility and receive 20% of referred fees in free inference. More info:

Liquid Inference can be used in place of any OpenAI or Anthropic API-compatible backend. Behind it, our team has leveraged our experience trading and building financial exchanges to create real-time two-sided price discovery for inference. Benefits for buyers and providers:

INFERENCE BUYERS

• Fully compatible with agentic coding tools: Claude Code, Codex, OpenCode, Cursor, Pi, Cline, and many more. Full multi-modal support.
• Hundreds of open- and closed-weight models. Create routing rule presets or use our Auto routing algorithms.
• Providers compete dynamically on price for every prompt, offering the lowest marginal cost.
• Sign up for free with email, first 500 users get $20 of free inference.
• Receive 20% of referred fees as free inference, 10% for second-level referrals.

INFERENCE PROVIDERS

• Onboard through the Liquid Inference app. We verify new providers in minutes, not weeks.
• All prompts are OpenAI API standard. Simple REST/Websocket API to register models and quotes.
• Update quotes dynamically based on your own costs. Monetize GPU capacity only when you want.
• Standardize payouts via Stripe, full itemized records of all jobs performed.

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@Nate_Architect

We've been live with no auto liquidation for our individual accounts and so far, so good.

If this is of interest, we'd love for you to give it a try. Currently limited to a more "pro-tail" trader with more experience, sufficient risk tolerance, larger account sizes, etc.

Nate Clancy@Nate_Architect · Sep 15

We're in limited release for individual accts. We are thinking of continuing no auto-liquidation for individuals 🤔

Is this compelling to a pro-tail RWA traders?

Imagine funding rate arbs on weekends and being able to top up vs liquidation after a bad funding print.

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@Nate_Architect reposted

@JasonYanowitz

The Compute Markets pod.

> why do we need compute markets
> 2017 crypto markets = 2026 compute markets (?)
> why finding GPUs takes so long
> what’s really bottlenecking AI
> what should Instinct do
> GPU lending

with @BrettHarrison + @andrawesbahou

65:38

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@Nate_Architect

B300 prices are the main sotry, but it's interesting that Hoppers or H100 specifically starts appreciating again as B300 takes off.

Offtakers will accept Hoppers because the world remains starved of compute, but it's clear where the real demand lies.

Brett Harrison@BrettHarrison · Sep 16

B300 prices have broken away from the pack, one-year contract rates up >$1/hour in the last 30 days while other models are flat. The compute capacity block trades our customers have brought Architect this month are almost all B300/GB300 or VR. Few are asking for Hoppers at size.

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@Nate_Architect

We're in limited release for individual accts. We are thinking of continuing no auto-liquidation for individuals 🤔

Is this compelling to a pro-tail RWA traders?

Imagine funding rate arbs on weekends and being able to top up vs liquidation after a bad funding print.

Brett Harrison@BrettHarrison · Jul 21

Architect’s traditional perpetuals exchange AX, one of the fastest-growing regulated derivatives exchanges in history, is opening trading to individuals and omnibus brokers. With $3B notional in <6 months in institutional trading, we’re excited to welcome a new investor class.

We launched AX in February with the conviction that building the largest global regulated exchange for traditional asset perpetuals starts with addressing the needs of institutions and professional market participants: robust risk controls, institutional-grade infrastructure, responsible leverage, wash-trading and market manipulation prevention, no internal market maker, and a clear tier-1 regulatory framework.

Our GTM strategy was a risk we took based on ambition, industry experience, intuition, and discipline. Our team is now ready to win the opportunities that risk has yielded, in expanding our markets internationally and building what’s needed here in US derivatives markets.

AX offers individual traders the same benefits that have enabled our institutional customers to grow the exchange this large this quickly: a market-defining UX, infrastructure built by elite industry experts, superior book liquidity, low fees and open incentive programs, high-throughput and full-featured APIs, competitive margin, 24/7 one-on-one support, no auto-liquidation or ADL.

Join us for the next stage of AX and Architect.

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@Nate_Architect

My goal in life is to surround myself with people who rep our crew as hard as @Sellingvol reps Rio.

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@Nate_Architect

You won't want to miss this. Register here: go.bloomberg.com/attend/invite/…

Brett Harrison@BrettHarrison · Sep 4

I’m looking forward to discussing compute markets with this excellent panel at Bloomberg Derivatives Market Structure 2026. NYC evening of 9/30, also focusing on prediction markets and US perps, not to be missed.

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@Nate_Architect

It works much better than clanker psychological abuse.

Brett Harrison@BrettHarrison · Sep 3

If you’re tired of through-lines, caveats, and load-bearing features, our CTO has discovered the ultimate prompt enhancer: ask your LLM to output all responses in ISO 24495 Plain Language Standard.

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@Nate_Architect

Ever since the announcement, there's been some interesting ideas shared about how Nvidia is functioning like a central bank of the AI industrial/infra build out. One main criticism is that there's increasing concentration risk. A liquid and robust derivatives market would do a lot to mitigate concentration risk.

It's fascinating to see in real time because similar stories were prominent case studies from my formal education. The GPU residual value floor reminds me of similar terms that are common in the airline industry, big ag heavy machinery, and the auto industry.

There are fair criticisms of circular financing, concentration risk. This is ultimately why a third party exchange like The AI Exchange would be a more sustainable way to legitimize chips and make AI infra an investible asset class. It would also give Nvidia an opportunity to offset these types of risks.

Brett Harrison@BrettHarrison · Sep 1

Nvidia’s GPU backstop deals are equivalent to writing put options at the residual floor and buying a smaller notional of call options at the same strike. If Nvidia could sell GPU rental price forwards or futures they could hedge the partial synthetic long.

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