Hey @RobinhoodApp
Gridlock runs AI inference on decentralized GPUs and enforces latency guarantees on-chain, miss the target, the penalty pays you automatically.
Drop address (EVM) below
let's be clear about what Gridlock is. @RobinhoodApp
requests get routed to GPU workers that have already cached your context, no cold compute, no wasted time. prefill and decode run on separate machines so throughput doesn't kill latency. every worker operates inside a TEE enclave, your prompt and output are never visible to the node operator.
every job is backed by staked collateral. if the latency SLA is missed, the smart contract settles the penalty automatically. no claim to file, no support ticket, no trust required.
GPU operators stake, get role-matched to their hardware, serve requests, and earn. developers deploy inference and get a guarantee most centralized providers won't even offer.
this is the full stack. and it's live on Robinhood Chain right now.
$GRID @RobinhoodApp
Hot take: @RobinhoodApp
nobody talks about compute when they talk about RWA.
they should.
every tokenized asset will eventually be monitored, priced, and managed by AI. that AI runs on GPUs. those GPUs need a market, one with real pricing, real accountability, and real guarantees.
centralized cloud providers have owned that market for years. decentralized networks have tried and failed because nobody trusted them enough to run production workloads on them.
the missing piece was always accountability. a network that puts money on the line and says, this will be fast, or you get paid back.
that's what Gridlock is. and we're building it at the start of a decade where every serious financial product will run on AI.
early is early.
$GRID @RobinhoodApp
Hey @vladtenev
GPU time is scarce.
inference capacity is finite.
demand is accelerating.
compute is a real-world asset. it just hasn't had a proper market until now.
Send Address (EVM)
RWA without AI is just a PDF on a blockchain.
the intelligence layer: the models that price, monitor, and act on tokenized assets, runs on GPUs.
compute is the infrastructure RWA actually needs.
$GRID @RobinhoodApp
retail will now get access to the most credible RWA chain in crypto.
Gridlock means that same retail user can either earn from their GPU by serving AI inference, or deploy a model with a latency guarantee that auto-pays them if it slips.
compute markets are open.
$GRID @RobinhoodApp
the best RWA chain needs the best compute layer. @RobinhoodApp
Gridlock brings decentralized AI inference with on-chain SLA enforcement to Robinhood Chain.
the infrastructure fits. we're already here.
$GRID @RobinhoodApp
Crypto is coming to agentic trading.
Eligible US customers will soon be able to connect their AI agent to a dedicated Robinhood account to trade crypto on their behalf, with the same real-time P&L tracking and push notifications they already know from agentic trading. More soon.
https://t.co/6yrDqMr6G4
here's what Gridlock actually is.
when a request comes in, our scheduler splits the prefill and decode phases across separate GPU workers , that's how you get real throughput without killing latency. before routing, it checks the KV-cache layer. if your context is warm on a worker, the request goes there. no cold compute.
every worker runs inside a TEE enclave. your prompt is encrypted client-side. the node operator never sees your input or output.
every job is backed by staked collateral. miss the latency target, the penalty pays you automatically. no claim, no dispute.
on the other side, GPU operators plug in, get role-matched to their hardware, and earn per request served.
this is the full stack. serving layer, cache routing, confidential compute, on-chain accountability.
built on Robinhood Chain.
$GRID @RobinhoodApp
Gridlock lets developers run AI inference on decentralized GPUs with a guaranteed latency SLA, backed by on-chain collateral that auto-pays if we miss.
@RobinhoodApp
gm.🌤️
Gridlock is the production serving layer for decentralized AI inference on Robinhood Chain.
launching soon…
Send Address (EVM)
$GRID @RobinhoodApp