io.net (IO) is a decentralized GPU compute network built on Solana. The project was founded in 2022 by Ahmad Shadid, an ex-quant fund engineer, alongside a small team that came out of high-frequency trading and infrastructure backgrounds. The original idea was practical: AI labs need an enormous amount of GPU time, hyperscaler capacity is rationed and expensive, and a network that pools idle GPUs from gamers, mining farms, and small data centers could undercut AWS by a wide margin if the orchestration actually worked.
Tory Green, who previously ran growth at Hum Capital and held senior roles at Fox, joined as COO and effectively led day-to-day operations through 2024 after Shadid stepped back. The IO token is an SPL asset on Solana with a total supply of 800 million. Mainnet went live in 2024, and the IO airdrop on June 11, 2024 distributed tokens to early GPU operators, testnet contributors, and the Ignition program participants who had been running compute jobs for months before launch.
IO price today
IO trades on Binance, OKX, KuCoin, Bybit, MEXC, and Gate, with Coinbase added during the 2024 to 2025 listing wave. The deepest pairs are IO/USDT and IO/USDC. Live data on this page comes from a multi-venue feed and refreshes every 60 seconds. The reference quote is volume-weighted across the most liquid order books so a single thin venue cannot drag the headline number around.
What actually moves the io.net price:
GPU compute demand cycles. IO trades like a basket of decentralized GPU exposure. When AI infrastructure names catch a bid (NVIDIA earnings, hyperscaler capex prints), IO usually moves with them.
AI sector rotation. Capital flows in and out of the AI/DePIN basket on a weekly basis. IO is a high-beta read on that rotation, more so than larger DePIN names.
IO Worker count. The size of the active GPU operator pool is the cleanest fundamental. The io.net dashboard publishes live worker counts and verified GPU specs, and the number tends to lead price by weeks.
IO unlock schedule. Multi-year unlocks for team, investors, and community allocations hit on scheduled dates. Cliff dates and quarterly unlocks routinely show up in the price action.
Solana DePIN narrative. IO sits inside the Solana DePIN basket alongside Helium, Render, and Hivemapper. Solana strength and DePIN-specific catalysts both feed back into IO price.
BTC correlation. As a high-beta altcoin, IO amplifies BTC moves in both directions. Most rallies and drawdowns start with a BTC trigger.
FAQ
What is io.net used for?
io.net sells decentralized GPU compute. AI startups, small ML teams, and creative shops use it to run inference, fine-tuning, and burst training jobs on a network of independent GPU operators instead of paying hyperscaler list prices. Workloads run inside Ray clusters and settle in IO or USDC on Solana. Pricing typically lands 60% to 90% below AWS or GCP for comparable specs.
io.net vs Render vs Akash: which is better?
Different focus areas. io.net is GPU-only and built specifically around AI workloads on Ray clusters, which makes it the strongest fit for LLM inference and fine-tuning. Render targets creative GPU work (3D rendering, VFX) through the OctaneRender ecosystem. Akash is a broader Cosmos-based compute marketplace covering CPU and GPU. io.net usually wins on raw AI compute price; Render wins on rendering pipelines; Akash wins on flexibility.
How does IO staking work?
IO staking is gated to GPU operators. Anyone running an IO Worker stakes IO as a quality bond, then earns IO and USDC for completed compute jobs. The protocol does not run a classic delegated proof-of-stake program with a fixed APR for passive holders. If you do not run hardware, IO is closer to a non-staking token; rewards flow to operators who supply real GPUs to the network.
Is io.net on Solana?
Yes. io.net is built on Solana for settlement and coordination. The IO token is an SPL asset, and lease payments to GPU operators stream on-chain on Solana. The choice gives the network fast, cheap settlement that fits a per-job payment model, but it also means IO inherits Solana network risk: an extended outage or a regulatory event affecting SOL would hit IO directly.
What is an IO Worker?
An IO Worker is the software a GPU operator runs to supply compute to the io.net network. After installation, the worker registers the GPU, passes a hardware verification step, and lists model, VRAM, bandwidth, and uptime data. Operators stake IO as a quality bond and earn IO plus USDC for jobs that complete successfully. Workers can be a single consumer GPU or a rack of H100s; the same client supports both.
Is IO a good investment?
IO is a high-beta DePIN bet on AI compute demand and the Solana ecosystem. The network has paying customers, visible GPU capacity, and a clear product stack under io.cloud, but the price has historically swung 70% to 90% peak-to-trough. Multi-year unlocks add real supply pressure on scheduled dates. Treat it as a high-risk allocation, size it accordingly, and expect volatility well above blue-chip layer-1s.
Where can I buy IO?
IO trades on Binance, OKX, Coinbase, KuCoin, Bybit, MEXC, and Gate. The deepest pairs are IO/USDT and IO/USDC. Coinbase was added during the 2024 to 2025 listing wave. For long-term holdings, withdraw to a Solana self-custody wallet (Phantom or Solflare) backed by a Ledger so the IO sits with you rather than on the exchange. Always send a small test transaction before any large transfer.
Who created io.net?
io.net was founded in 2022 by Ahmad Shadid, an ex-quant fund engineer, with a small team from high-frequency trading and infrastructure backgrounds. Tory Green, formerly of Hum Capital and Fox, joined as COO and effectively led day-to-day operations through 2024 after Shadid stepped back. Major investors include Hack VC (lead), Multicoin, OKX Ventures, Solana Ventures, and Aptos Labs.
The numbers in the price card above are live. For multi-year scenarios, see our io.net price forecast.
How io.net aggregates GPU compute
The supply side of io.net looks nothing like a hyperscaler. Instead of a few mega data centers, the network pulls capacity from a long tail of independent operators: gamers with one or two consumer GPUs, mid-sized crypto mining farms that pivoted hardware after the Ethereum merge, and small Tier 3 data centers with unused racks. Each operator runs the IO Worker software, registers their GPUs, stakes IO as a quality bond, and waits for jobs. Customers on the demand side submit AI workloads and get matched to a pool of GPUs that meet their spec.
IO Worker registration. Operators install the worker client, pass a hardware verification step, and list their GPU model, VRAM, bandwidth, and uptime score on the network.
Job matching. Customers describe the workload (model size, batch size, region preferences, GPU class) and the scheduler routes the job to a cluster of workers that fit.
Verification. The network uses cryptographic proofs of work, periodic hardware audits, and customer feedback to verify that a worker actually runs the GPU it claims to run.
Settlement. Workers earn IO and USDC for completed jobs. Payments stream as the workload runs, not at the end, so a failed worker does not lose a full job’s worth of revenue.
Pricing. Headline pricing typically lands 60% to 90% below comparable hyperscaler list prices, with the discount widest on H100 and A100 instances during peak demand windows.
The network does not pretend to be a drop-in AWS replacement for every workload. Tightly coupled multi-node training still wants the proprietary networking that hyperscalers ship. io.net targets the long tail of inference, fine-tuning, and burst workloads where price matters more than ultra-low-latency interconnects.
Ray clusters and io.cloud product stack
Under the hood, io.net uses Ray, an open-source distributed-compute framework originally built by the Anyscale team. Ray handles the hard parts of running a workload across geographically distributed GPUs: scheduling, fault tolerance, data movement, and cluster management. The choice matters because most modern AI workloads (training pipelines, inference servers, hyperparameter sweeps) already run on Ray inside hyperscaler clouds, which means moving a job to io.net is closer to a redeployment than a rewrite.
What ships under the io.cloud umbrella:
BC8. An image-generation product that exposes Stable Diffusion and similar models behind a simple API, served on idle io.net GPUs.
IO Models. A managed LLM hosting layer with one-click deployment for Llama, Mistral, and other open-weight models, plus autoscaling across the worker pool.
IO Train. A distributed training service for fine-tuning runs and smaller training jobs, built on Ray clusters that span multiple worker locations.
IO Inference. Real-time inference endpoints with regional routing, used by AI startups and product teams that need cheap GPU capacity behind their own apps.
The product split matters for the token. BC8 and IO Inference create steady, repeatable demand for IO and USDC payments, while IO Train captures the larger but more episodic fine-tuning spend. A healthy mix of both is what separates a sustainable compute network from a one-product token.
IO tokenomics and the June 2024 launch
IO launched on June 11, 2024. Total supply is 800 million tokens, with allocations split across the team, early investors, the community airdrop, GPU operator rewards, and an ecosystem treasury. The headline allocation question for any new buyer is the unlock schedule: large investor and team buckets vest over multi-year cliffs, and those unlock dates are published on the official tokenomics page.
How the launch and the early supply mechanics broke down:
Mainnet launch in 2024 with the IO token going live on Solana on June 11, 2024.
The Ignition airdrop distributed IO to early GPU operators, testnet contributors, and Galxe campaign participants who had run compute jobs in the months before launch.
A multi-year vesting schedule applies to team, investor, and community allocations, with the largest unlocks landing through 2025 to 2027.
GPU operator rewards continue to release IO over time, paid out per completed job and per uptime bucket on the worker network.
The supply emission is the single biggest fundamental risk for IO holders over a multi-year horizon. Even if the network keeps growing GPU capacity and customer revenue, scheduled unlocks add real selling pressure on cliff dates. Position sizing should account for that calendar, not just the price chart.
io.net vs Render vs Akash
io.net gets compared to Render and Akash because all three are Solana-or-Cosmos DePIN compute networks. The comparison is useful, but each project optimizes for a slightly different workload mix.
io.net vs Render. Render targets creative GPU work (3D rendering, VFX, AI inference for content) and ships through OctaneRender and the OTOY ecosystem. io.net is a general AI compute network with first-class support for LLM training and inference. io.net usually wins on raw AI workloads; Render usually wins on rendering pipelines.
io.net vs Akash. Akash is a broader compute marketplace built on Cosmos that covers CPU, storage, and GPU. io.net is GPU-only and built specifically around Ray clusters for AI. Akash often wins on flexibility and multi-resource workloads; io.net wins on AI-specific tooling and integration with Solana DePIN liquidity.
io.net vs centralized GPU clouds. AWS, GCP, CoreWeave, and Lambda offer better networking, multi-year contracts, and enterprise SLAs. io.net competes on price (often 60% to 90% below list) and on permissionless onboarding for teams that do not want to file a quota request and wait two weeks.
Settlement layer. io.net uses Solana for fast, cheap settlement, which helps with per-job streaming payments. Render also moved to Solana via SPL. Akash sits on its own Cosmos chain with its own validator set.
No single comparison settles the trade. io.net is strongest when the workload is AI-specific, fits inside a Ray cluster, and the buyer is price-sensitive. It is weakest when the workload needs tightly coupled multi-node training or a contracted enterprise SLA.
How to buy and stake io.net (IO)
Buying IO is straightforward. Staking adds a few steps because the IO Worker stake is meant for GPU operators rather than passive holders. Most retail buyers go through five steps.
Pick an exchange. Binance, OKX, Coinbase, KuCoin, Bybit, MEXC, and Gate all list IO. Liquidity is deepest on Binance and OKX, with Coinbase added during the 2024 to 2025 listing wave. Compare withdrawal fees and confirm the venue supports Solana network withdrawals. Our exchange ratings compare the leading options.
Pass identity verification. KYC on regulated platforms usually clears in under 10 minutes with a government ID and a selfie.
Fund the account and place the order. Bank transfers (ACH, SEPA) cost the least at 1 to 3 business days. Cards are instant but cost 2 to 4%. Stablecoin deposits (USDC, USDT) settle in minutes for a single Solana network fee. A limit order beats a market order on IO during quiet hours.
Withdraw to a Solana wallet. Phantom and Solflare are the standard self-custody choices, both run as browser extensions and mobile apps, and both support Ledger hardware wallets for cold storage. Send a small test transaction first when moving large balances.
Stake to operate or hold passive. Holders who actually run GPU hardware can register an IO Worker, stake IO as a quality bond, and earn IO plus USDC for completed jobs. Passive holders without hardware get no native staking yield; the protocol-level staking is gated to operators who supply real compute.
Phantom and Solflare both display SPL token balances natively, so IO shows up alongside SOL and USDC after a successful withdrawal. Confirm the SPL token mint address before any large transfer to make sure the wallet recognized the correct asset.
Risks of holding io.net
IO carries a different risk profile than a layer-1 store-of-value token. GPU compute is sliding toward a commodity, IO depends heavily on the AI narrative cycle, and the unlock calendar keeps adding new supply. The 2024 transparency reports also created lasting questions that buyers should weigh before sizing positions.
GPU compute commoditization. NVIDIA H100 capacity used to be scarce. As more H100s, B100s, and competitive AMD parts ship, the price of an hour of GPU compute trends down. io.net benefits from supply but also has to defend margins against everyone else fighting for the same AI buyers.
AI-narrative dependency. IO trades as a proxy for the broader AI/DePIN trade. When the AI narrative cools, IO tends to underperform faster than coins with deeper standalone utility, and rotation out of the basket usually hits the smaller compute names first.
IO unlock pressure. The team, investor, and community allocations vest on a multi-year schedule. Cliff dates through 2025 to 2027 release real new supply, and historical examples across DePIN show that those unlocks routinely line up with local price weakness.
Transparency-history concerns. In the months before launch, CoinDesk and other outlets reported that pre-launch marketing claims overstated the active GPU count. The team responded with public dashboards and follow-up audits that confirmed the operational fleet, but the episode set a higher trust bar for any future supply or revenue figures the network publishes.
Solana dependency. IO settles on Solana. A prolonged Solana outage or a regulatory event affecting SOL would hit IO directly. The network has no fallback chain.
Centralized cloud competition. AWS, GCP, CoreWeave, and Lambda price aggressively, ship enterprise networking, and sign multi-year contracts. io.net wins on the long tail; it does not win on the contracted enterprise tier where most of the dollars actually live.
Drawdown. IO printed an ATH above $5 in mid-2024 and gave back the bulk of those gains in the months that followed. Position sizes should assume 70% to 90% retracements remain on the table in future cycles.
This page is information, not financial advice. Talk to a licensed advisor before allocating real capital.
io.net price analysis
At the time of writing, io.net (IO) trades at $0.147419, with a 24-hour trading volume of $13.99M and a total market capitalization of $49.17M. The asset is currently ranked #499 among all tracked cryptocurrencies by market cap.
Over the last 24 hours, the IO price has dropped +3.54%. On the seven-day chart, io.net has climbed +7.86%, showing mixed signals across the short and medium term. Short-term price swings are often amplified by liquidity conditions, news flow, and derivatives positioning, so traders should confirm signals across multiple indicators before acting.
io.net's all-time high of $6.43 was set on June 13, 2024. The current market price is +97.70% below that historical peak. Distance from the all-time high is a common reference point when evaluating long-term recoveries and identifying macro support or resistance levels.
How to buy io.net
Buying io.net (IO) is straightforward once you know which exchange to use and which trading pair offers the best liquidity. The steps below describe the typical flow used by most investors today.
Choose a reputable exchange. Pick a platform that lists IO with deep liquidity, transparent fees, and strong security practices. Our top-rated exchanges guide compares the leading venues side-by-side.
Create and verify your account.Complete the exchange's KYC process — most platforms require a government-issued ID and a short identity check. Verification is usually a one-time step that takes just a few minutes.
Deposit funds. Fund your account with fiat currency via bank transfer, card, or a stablecoin like USDT or USDC. Stablecoin deposits typically offer the fastest settlement and lowest fees.
Place a buy order. Navigate to the IO/USD or IO/USDT pair and either execute a market order for instant fills or set a limit order at your preferred entry price.
Secure your IO. For long-term holdings, consider moving your tokens to a non-custodial wallet — a hardware device for the highest security, or a reputable software wallet for frequent access.
You can also use the built-in io.net converter above to estimate exactly how much IO you would receive for a given amount in USD before placing an order.
Is io.net a good investment?
Whether io.net is a good investment depends on your goals, time horizon, and tolerance for volatility. Like all cryptocurrencies, IO carries significant market risk — prices can rise or fall sharply in a single day, and past performance is not a reliable indicator of future returns.
Potential strengths
Ranked #499 by market cap with an established trading history and active exchange coverage.
Ongoing ecosystem development and community engagement, as reflected in Artificial Intelligence (AI), Internet of Things (IOT) sector activity.
Key risks to consider
Volatility: 24-hour moves of 5–15% are common in crypto markets.
Regulatory uncertainty: changes in policy across major jurisdictions can materially affect price and access.
Liquidity and custody risk: not all exchanges are equally safe, and self-custody requires careful key management.
This page provides data and analysis for educational purposes only. It is not financial advice. Always do your own research, diversify, and never invest more than you can afford to lose.
