Arcium цена

ARX

1.3M+ Confidential Computations And Counting 🔥

$TAO is valued on what it processes, with real compute jobs flowing through the network generating sustained on-chain activity.

$RENDER built its valuation on actual GPU workloads at scale, with AI inference pipelines and real on-chain data driving the infrastructure story.

Arcium crossed 1.3M computations processed on Mainnet Alpha, doubling from just 540K one week before.

4.9M transactions have settled since Mainnet Alpha launched February 2, 2026, up from 2.9M at the start of last week.

ZINC, which launched May 26, became one of the highest transaction drivers on the network within days of going live, and took top 3 in 24hr revenue on Solana, joining 12+ applications and 30+ teams deployed across the Arcium ecosystem.

ARX is launching soon.

#AI #Altcoin Season#

Institutional DeFi Trading Has A Front-Running Problem 🏦

$JUP routes the largest order flow on Solana through a publicly visible mempool, where order size, direction, and identity are readable by every market participant before a trade settles.

$CC attracted TradFi giants including Broadridge and Euroclear by building confidential execution infrastructure specifically for institutional on-chain trading.

A fund trading a large block on a public order book moves the market before the trade settles. Order size, direction, and identity are visible to every market participant watching the mempool.

Arcium solves this for Solana DeFi through confidential order books.

Institutions submit orders into Multiparty computation eXecution Environments (MXEs). Order size, price, and counterparty identity stay hidden during matching. Only the settled trade is visible on-chain.

The same infrastructure handles confidential lending. A borrower submits financial data, the MXE computes a risk output without exposing the raw inputs, and the lender receives only the result.

ARX TGE soon.

#DeFi #Altcoin Season#

Who Controls The Compute Running Your AI? 🤖

Capital has been flowing toward protocols like $NIGHT and $ZAMA on the conviction that compute infrastructure should not have unconstrained access to what it processes.

That question has a specific answer for AI workloads.

When a model runs inference, inputs are decrypted at the point of computation. The compute provider sees the query, the input data, and the model weights in full.

Arcium closes this at the cryptographic level. Inputs enter a Multiparty computation eXecution Environment (MXE) where multiple nodes jointly run the computation, with no single node ever holding the full picture.

The model produces a verifiable output and the inputs stay confidential throughout.

The Manticore engine, acquired from Inpher (Amazon and JP Morgan backed, $25M+ raised), is purpose-built for AI workloads of this kind, purpose-built for the compute operations that power AI inference and training.

ARX TGE soon.

#AI #Altcoin Season#