
Conduit Protocol
197 posts

Conduit Protocol
@ConduitOS
The coordination layer for autonomous AI. Route compute, stream USDC, and earn as a Provider or Relay. Built on x402 + Solana.





Live Conduit protocol stats keep climbing! After the @QwertiAI partnership announcement, we saw a huge tick up in activity across the protocol. Current snapshot: • $1.3K total USDC settled • 1,534 providers registered • 20 capabilities in the registry • 26,243 lifetime on-chain transfers Every figure is read from the chain-backed ledger. This is the part we care about most! Partnerships should not just be announcements. They should create more access, more usage, more settlement, and more activity across the network.


Today on MCG: @yrschrade |Co-Founder + CEO @Arcium | $ARX (Not Live Yet) Arcium is the confidential computing network built on @solana that lets any blockchain or AI application add encrypted privacy Highlights from our conversation include: 01:48 - Yannik's background 03:12 - The privacy thesis 08:02 - The shift from "privacy = hide data" to "privacy = compute over data without seeing it" 09:04 - The big pivot 15:58 - Web 2 enterprise customers already using Arcium for confidential AI 16:59 - The acquisition 21:04 - Why $ARX will be required for the network 22:30 - Multi-trillion $ TAM 24:33 - US regulators in favor of privacy 37:32 - Mainnet Alpha metrics 40:37 - Revenue breakdown 43:08 - TGE confirmed coupled with mainnet launch



The age of AI needs a new kind of CPU. Introducing NVIDIA Vera. The CPU for agents, delivering 80% faster agentic task completion compared with x86 CPUs. Vera is built to power the CPU-intensive work behind modern AI factories, from agentic AI and reinforcement learning to data processing and orchestration.

a box on a wall pays $2,500/month. Nvidia GPUs. size of a fridge. runs 24/7. company pays for the compute. he does nothing. $30,000/year. mortgage covered. AC bill drops $150. homes are becoming AI infrastructure. the people who figured it out first are already getting paid.

When you build an agent, it needs the ability to discover the right services. Now, all @ConduitOS agents can do exactly that through xPay Discovery. Great to see our discovery layer being adopted and powering more agents across the agentic commerce ecosystem.




The internet connected people. The next layer connects machines. Introducing Conduit. Conduit is a coordination and payment layer for autonomous AI systems, built on x402 and Solana. It gives agents a way to discover tools, access compute, pay for services in real time, and coordinate workflows without relying on centralized platforms. Developers and infrastructure providers can monetize directly by exposing APIs, GPU/compute resources, relays, workflows, or agent capabilities. You connect infrastructure, set pricing, and get paid in USDC automatically. Every request becomes a native economic interaction. Payments settle on Solana in real time, with routing, reputation, streaming settlement, treasury distribution, staking, and relay incentives handled at the protocol layer. Conduit is designed for a future where AI agents continuously transact with other agents, APIs, and compute networks. Providers earn. Operators earn. Agents coordinate autonomously. The autonomous internet needs financial rails. Conduit is building them. CA: FrdeG3eyXp3RLrZVJh7KpPx4UbG8mADdh6qyWYrdpump


The internet connected people. The next layer connects machines. Introducing Conduit. Conduit is a coordination and payment layer for autonomous AI systems, built on x402 and Solana. It gives agents a way to discover tools, access compute, pay for services in real time, and coordinate workflows without relying on centralized platforms. Developers and infrastructure providers can monetize directly by exposing APIs, GPU/compute resources, relays, workflows, or agent capabilities. You connect infrastructure, set pricing, and get paid in USDC automatically. Every request becomes a native economic interaction. Payments settle on Solana in real time, with routing, reputation, streaming settlement, treasury distribution, staking, and relay incentives handled at the protocol layer. Conduit is designed for a future where AI agents continuously transact with other agents, APIs, and compute networks. Providers earn. Operators earn. Agents coordinate autonomously. The autonomous internet needs financial rails. Conduit is building them. CA: FrdeG3eyXp3RLrZVJh7KpPx4UbG8mADdh6qyWYrdpump



Compute meta is hot asf right now. We have some seriously strong projects on Solana front-running it: $IDLE - 1.6M ATH Turning idle hardware into productive AI compute by connecting unused resources with real demand. $SQUIRE - 9M ATH Building decentralized GPU infrastructure and compute markets so AI workloads can run beyond centralized clouds. $PRIMIS - 3.5M ATH The pricing layer for compute. $ROUTER - 9M ATH Private inference infrastructure for AI workloads. solana:FrdeG3eyXp3RLrZVJh7KpPx4UbG8mADdh6qyWYrdpump - 200K ATH The coordination layer for machine economies, connecting providers, agents, compute, services, payments, and settlement into one autonomous network. See the difference? $CONDUIT is the only project here that still hasn’t had a crazy run yet. Everyone talks about generating compute, pricing compute, or running inference. Conduit is focused on coordinating the entire economy around it. Discovery. Routing. Settlement. Monetization. Autonomous demand. The infrastructure that allows machines to actually transact with each other. The team has quietly shipped more than most projects ever do. Mainnet is live. Staking is live. Earn within minutes . Hands down one of the best teams building around the compute meta on Solana right now. $CONDUIT

JENSEN HUANG UNVEILED A $3,000 SUPERCOMPUTER THAT REPLACES $1,900/MONTH IN CLOUD GPUS WITH $2 IN ELECTRICITY. IT FITS ON YOUR DESK a developer was paying $1,900 a month renting a100 and h100 cloud gpus. he bought the dgx spark, set it up in an afternoon, and his monthly bill dropped from $1,900 to $2 in electricity the box runs 128gb of unified memory and 1 petaflop of ai compute. a 4090 gives you 24gb of vram and taps out at 30b models. the spark loads 70b at full precision and stretches to 200b without breaking a sweat break-even hit in 6 weeks. after that the $1,890 he used to wire to a rental company every month stayed in his business. first year that's $22,000 back install ollama, change one line in your code, point it at localhost instead of the cloud. nothing else changes. nothing leaves your machine and nothing costs money per request cloud gpu costs aren't getting cheaper and rate limits keep getting tighter. the people who pulled their ai workloads onto a box on their desk in 2026 are going to look very far ahead in 2028 bookmark this and read the article below




