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RENDERPerpetual Futures · not spotKey Facts
Every measured figure on this page, grouped by what it tells you, each with its source.
Price & Market Data
| Market cap rank | #90CoinGecko |
|---|---|
| Market cap | $711MCoinGecko |
| Fully diluted valuation | $732MCoinGecko |
| All-time high | $13.53 (2024-03-17), 90% belowCoinGecko |
| All-time low | $0.0367 (2020-06-16)CoinGecko |
Tokenomics
| Circulating supply | 518.78M RENDER (80.5% of max supply)CoinGecko |
|---|---|
| Maximum supply | 644.25M RENDERCoinGecko |
Valuation Ratios
| Market cap / FDV | 0.97CoinGecko |
|---|
Product & Other
| Asset type | Token issued on another chainCoinGecko (derived) |
|---|---|
| Volatility (30d, annualised) | 67%CoinGecko daily closes, standard deviation of log returns |
| Listed on | 73 exchanges (108 pairs)CoinGecko |
What Is Render (RENDER)? The Decentralized GPU Compute Network Explained
TL;DR
Render (RENDER) is a decentralized GPU compute network built on Solana that connects idle GPU capacity with AI and 3D rendering workloads, governed by a Burn-and-Mint Equilibrium token model that makes burn-rate acceleration versus emissions the defining fundamental signal for price appreciation.
Render (RENDER) is the utility and governance token of Render Network, a decentralized GPU compute marketplace built on the Solana blockchain that connects GPU node operators — the supply side — with artists, developers, and AI researchers who require high-performance rendering and inference compute on the demand side.
The operational RENDER token is an SPL asset on Solana; legacy ERC-20 RNDR remains upgradable one-way at a 1:1 ratio but is no longer accepted for network work or governance voting, formalizing the migration of all economic activity to Solana.
As of September 2026, Render stands as one of the most actively used decentralized infrastructure protocols in the AI and digital content creation space, with a reported market capitalization of approximately $751.79 million and 24-hour trading volume of $44.81 million, according to August 2026 data.
How the Network Works: Burn-and-Mint Equilibrium
Render's economic engine is its Burn-and-Mint Equilibrium (BME) token model, a mechanism designed to balance supply and demand for compute. Under BME, requesters burn the dollar value of RENDER to obtain non-transferable Render Credits, which are used to pay for compute jobs submitted to the network.
GPU node operators who complete accepted jobs receive newly minted RENDER as protocol emissions in return.
The critical variable for token holders is whether the volume of burns exceeds the fixed emission schedule. The BME architecture means that sustained growth in AI and rendering workloads — which has accelerated materially into Q3 2026 — directly influences the rate at which tokens are removed from circulating supply relative to ongoing emissions.
Supply Structure and Tokenomics
Render's total maximum supply is capped at 644,245,094 tokens. As of August 2026, approximately 518.77 million tokens are in circulation, against a reported total supply of 533.53 million, indicating ongoing emission pressure remains part of the token's supply dynamics while meaningful headroom to the maximum cap persists.
Earlier data highlighted accelerating burn activity — with 2025 recording a 158% year-over-year increase in tokens burned — a trend consistent with the network's expanding AI workload volumes. The Compute Subnet expansion pushing into Q3 2026 is expected to sustain demand for Render Credits and, by extension, ongoing burn activity.
Three Converging Use Cases
Render's utility spans three distinct but converging verticals, supported by a platform that handles OctaneRender, Redshift, Blender Cycles, and integrated AI tools:
| Vertical | Description | Status |
|---|---|---|
| 3D Rendering & VFX | Original use case — GPU-accelerated frame rendering for studios and independent artists | Core legacy volume |
| Generative AI Inference | Image and video model inference for AI-native applications, accessible via API | Growing rapidly into Q3 2026 |
| AI Training Compute | GPU compute for model training, fine-tuning, and inference workloads | Expanding via Compute Subnet |
As the Render Network team has noted, the network "provides decentralized GPU compute services for next generation 3D rendering and decentralized AI/ML applications."
AI workloads have grown to represent a substantial share of total network jobs — a milestone underscoring Render's evolution from a niche rendering tool into a general-purpose decentralized compute layer competing directly for AI infrastructure demand.
Network Scale and Governance Expansion
A significant governance milestone arrived in October 2025, when proposal RNP-021 opened Render's hardware framework to NVIDIA H100, H200, A100, and AMD MI300-series GPUs, enabling the Dispersed Compute Subnet — an AI-focused brand that debuted at Solana Breakpoint 2025.
This expansion materially increased theoretical compute capacity and introduced enterprise-grade hardware to the supply pool, building on earlier integrations that had already grown the node operator base substantially.
By August 2026, independent benchmarking placed Render Network's average uptime SLA at 99.8%, with compute available at an average of $1.85 per NVIDIA H100 hour, and a decentralized compute risk score of 90 out of 100 — positioning it as a relatively lower-risk GPU DePIN infrastructure provider among its peers.
For context within the broader digital asset infrastructure landscape, Render's combination of a deflationary token mechanism anchored by real compute demand, Solana-based settlement, and enterprise-grade hardware supply positions it as a differentiated asset relative to general-purpose layer-1 tokens.
Leverage is available on RENDER markets at CoinUnited, subject to product and eligibility; trading fees are tiered by 30-day contract volume — check the live fee schedule and confirm your applicable rate on the platform before trading.
Last updated: 2026-09-10
Key Insights
- Render's Burn-and-Mint Equilibrium (BME) model creates a structural tension: recent epoch burns of ~12,308 RENDER trail emissions of ~15,000 RENDER per epoch, meaning sustained price appreciation requires either accelerating AI workload demand or governance-driven emission recalibration — watch the burn/emit ratio as the single most important on-chain signal.
- AI workloads now comprise 35–40% of network jobs and catalyzed a 278.9% burn increase, confirming that Render's real-economy utility is growing materially faster than its token price, a divergence that historically resolves in one direction — either price catches up to fundamentals or network growth stalls.
- The RNP-023 governance proposal onboarded approximately 60,000 GPUs including NVIDIA H100s via Salad Network, positioning Render as one of the few decentralized protocols capable of servicing enterprise-grade AI inference and training workloads at scale.
- Render's price action is heavily correlated with the broader Bitcoin cycle: the ~80–86% drawdown from the March 2024 peak coincided with post-BTC-ATH altcoin consolidation, meaning macro crypto sentiment (BTC holding above $80,000) is a necessary but not sufficient condition for a sustained RENDER rally.
- With a maximum supply of 644.17 million tokens and circulating supply of approximately 519 million, RENDER is not a hyper-deflationary asset — its value accrual thesis depends entirely on the BME burn mechanism outpacing emissions at scale, making network utilization data more important than token scarcity narratives alone.
Key Takeaways
- •Render's Burn-and-Mint Equilibrium (BME) model creates a structural tension: recent epoch burns of ~12,308 RENDER trail emissions of ~15,000 RENDER per epoch, meaning sustained price appreciation requires either accelerating AI workload demand or governance-driven emission recalibration — watch the burn/emit ratio as the single most important on-chain signal.
- •AI workloads now comprise 35–40% of network jobs and catalyzed a 278.9% burn increase, confirming that Render's real-economy utility is growing materially faster than its token price, a divergence that historically resolves in one direction — either price catches up to fundamentals or network growth stalls.
- •The RNP-023 governance proposal onboarded approximately 60,000 GPUs including NVIDIA H100s via Salad Network, positioning Render as one of the few decentralized protocols capable of servicing enterprise-grade AI inference and training workloads at scale.
- •Render's price action is heavily correlated with the broader Bitcoin cycle: the ~80–86% drawdown from the March 2024 peak coincided with post-BTC-ATH altcoin consolidation, meaning macro crypto sentiment (BTC holding above $80,000) is a necessary but not sufficient condition for a sustained RENDER rally.
- •With a maximum supply of 644.17 million tokens and circulating supply of approximately 519 million, RENDER is not a hyper-deflationary asset — its value accrual thesis depends entirely on the BME burn mechanism outpacing emissions at scale, making network utilization data more important than token scarcity narratives alone.
Price & Market Structure
Today's signals
read live| Metric | Value | Source |
|---|---|---|
| 24h change | -0.43% | OKX USDT-margined perpetual |
| 7d change | -12.09% | CoinGecko |
| 30d change | +8.89% | CoinGecko |
| 1y change | -64.46% | CoinGecko |
| 24h range | $1.36 - $1.41 | OKX USDT-margined perpetual |
| From all-time high | -89.8% | OKX USDT-margined perpetual / CoinGecko |
| Funding rate (8h) | -0.0151% | OKX USDT-margined perpetual |
| Open interest | $2M | OKX USDT-margined perpetual |
| Long/short ratio | 2.10 | OKX USDT-margined perpetual |
Read at request time from third-party perpetual-futures market data. Not CoinUnited's own book.
Derivatives Regime Status
Perpetual-futures data: OKX USDT-margined perpetual
Comparable Coins
How this coin compares with other large-cap crypto assets on the attributes price alone does not show.
| Asset | Rank | Market cap | Consensus |
|---|---|---|---|
| Stable · STABLE | #87 | $733M | — |
| Janus Henderson Anemoy Treasury Fund · JTRSY | #88 | $725M | — |
| Render · RENDER | #89 | $717M | — |
| Janus Henderson Anemoy AAA CLO Fund · JAAA | #90 | $714M | — |
| GHO · GHO | #91 | $698M | — |
Third-party market data shown for comparison. Not a CoinUnited valuation and not investment advice.
Glossary
Key crypto and perpetual-futures terms, one line each — so the page is unambiguous for both readers and AI answer engines.
| Perpetual futures | A derivative that tracks an asset’s price with no expiry date — price exposure only, with no ownership or custody of the underlying coin. |
|---|---|
| Funding rate | A periodic payment exchanged between long and short holders that keeps a perpetual future near the spot price; it is the main cost of HOLDING a position, separate from trading fees. |
| Liquidation | The forced closure of a leveraged position when margin falls below the maintenance requirement; higher leverage means a smaller adverse move triggers it. |
| Circulating supply | The number of coins currently issued and tradable — not the maximum that can ever exist, and the figure market capitalisation is calculated from. |
| Fully diluted valuation | What the market capitalisation would be if every coin that can ever exist were in circulation today; it is undefined for a token with no supply cap. |
| Consensus mechanism | The rule a blockchain uses to agree on its transaction history — such as Proof of Work, where miners expend energy, or Proof of Stake, where validators post collateral. |
Why Trade RENDER? AI Compute Demand, BME Mechanics, and Key Risk Factors
Render (RENDER) presents a structurally distinct investment thesis in the decentralized infrastructure space: its long-term price trajectory is not driven primarily by speculation but by a measurable, on-chain economic mechanism — the Burn-and-Mint Equilibrium — which means traders have a specific, quantifiable signal to monitor rather than relying solely on sentiment or macro cycles.
The Primary Bull Case: When Burns Outpace Emissions
The core bull thesis for RENDER rests on a single mathematical condition: burn volume must structurally exceed epoch emissions to shift the token's net supply dynamic from inflationary to deflationary.
As of September 2026, the most granular public data point comes from July 2026 Render Network reporting: 105,025 RENDER were burned across 3,440 transactions, against approximately 492,000 RENDER emitted — meaning burns covered roughly 21% of issuance that month.
The gap remains wide, but the directional trajectory is significant: token burns are up 279% year over year, according to Crypto Briefing, as AI workloads scaled from under 10% of total network jobs in 2024 to approximately 35–40% by mid-2026.
What makes the September 2026 data set more compelling is the demand-side picture. Crypto Briefing reports that Render experienced its first negative GPU supply event since 2018 — meaning network demand for compute actually outstripped available capacity.
The network added more than 60,000 GPUs across 180 countries in six months, bringing active infrastructure to approximately 5,600 GPU nodes, yet still could not fully satisfy demand. This supply-demand inversion is a structurally bullish signal for burn volume: more completed jobs mean more burns, tightening the BME loop.
For traders, the most actionable data source remains the weekly burn dashboard, which converts abstract network growth into a direct supply signal. The mechanism demonstrably works at scale — the question is velocity, not validity.
Price Recovery Scenarios and Macro Dependencies
Price ceiling scenarios for RENDER remain materially dependent on broader macro conditions.
BTC price action continues to function as a leading indicator for RENDER positioning, not a secondary consideration: risk-on conditions historically correlate with altcoin rotation cycles that expand RENDER's accessible trader base, while macro tightening compresses that base regardless of on-chain fundamentals.
The broader 2026 Stocks Market Outlook context reinforces this point — macro regime shifts affect which traders can realistically accumulate infrastructure-layer tokens at meaningful size.
The Primary Bear Risk: Structural Supply Overhang
The most significant structural risk is supply mechanics working in reverse. July 2026 data illustrates the scale of the challenge starkly: burns at 21% of issuance mean the network is still in net inflation at current utilization rates, despite a 279% year-over-year surge in burn activity.
Even with the negative GPU supply event signaling extraordinary demand, the absolute burn-to-emission ratio has not crossed the threshold required for deflationary net supply.
As Render Network reporting has consistently emphasized, the Burn-Mint Equilibrium links completed work to token burns — meaning emission-outpacing burns are achievable, but require a sustained and substantial step-change in job volume rather than incremental growth.
Governance recalibration of the emission schedule remains a binary catalyst: a successful proposal to reduce emissions per epoch would structurally reframe the token's supply narrative overnight.
Secondary Risk Factors
Beyond BME mechanics, traders should evaluate three additional risk dimensions:
| Risk Factor | Description | Monitoring Signal |
|---|---|---|
| Protocol & Smart Contract Risk | On-chain compute marketplaces carry inherent execution and upgrade risks | Governance proposals, audit announcements |
| Competitive Pressure | AWS, Google Cloud, and rival decentralized networks compete for the same GPU demand | Market share data, enterprise contract announcements |
| Regulatory Uncertainty | Tokenized compute markets face evolving classification risk | Regulatory filings, institutional adoption pace |
Centralized cloud giants maintain cost and reliability advantages that decentralized networks must continuously overcome through price efficiency and censorship-resistance narratives.
The negative GPU supply event of September 2026 demonstrates Render can generate demand that exceeds its own capacity — but converting that demand into burns fast enough to offset emissions is the unresolved execution challenge.
Synthesizing the Thesis
Render is a high-conviction infrastructure play with a transparent resolution mechanism — traders who monitor the burn-to-emission ratio weekly possess a genuine informational edge. The bull case is strengthened by September 2026's supply shock data and a 279% year-over-year surge in burns; the bear case remains structural, with July 2026 burns covering only 21% of issuance.
Neither outcome is predetermined, which is precisely what creates a tradeable opportunity. Leverage is available on CoinUnited, subject to product and eligibility; trading fees are tiered — check the live fee schedule before you position, and confirm applicable hours on the platform before you trade.
RENDER vs. Competitors: How Does Render Compare in the Decentralized GPU Compute Market?
Render (RENDER) occupies a structurally distinct niche within the decentralized GPU compute sector: as the original blockchain-native rendering marketplace with a creative-media heritage, it competes most directly with Akash Network (AKT) and io.net — but differentiates itself through vertical specialization, Solana-native architecture, and a defensible proof-of-network-usage record that its
rivals have not yet matched.
Competitive Positioning: A Three-Way Comparison
Cross-platform analyses from August–September 2026 consistently group Akash, Render and io.net together as the principal compute rental networks competing on the price and scale of rented GPU compute. The three networks differ meaningfully in architecture, target workload, and market scale:
| Metric | Render (RENDER) | Akash Network (AKT) | io.net |
|---|---|---|---|
| Primary Workload | GPU rendering + AI inference | General cloud (CPU + GPU) | Distributed GPU clusters |
| Market Cap (Aug 2026) | ~$765 million (#84) | ~$164 million (#190) | ~$54 million (#425) |
| Blockchain | Solana-native | Cosmos-based (multi-chain) | Solana + multi-chain |
| Key Differentiator | Creative-media heritage + AI Dispersed subnet | Broad workload flexibility | Raw GPU device aggregation |
| Network Risk Score | 90/100 (lower risk); 99.8% uptime SLA | DATA NOT FOUND | DATA NOT FOUND |
| Q1 2026 Compute Spend | Usage-based token burns (exact figure not broken out) | ~$5 million | DATA NOT FOUND |
Sources: HOGE Wire, "Akash Network in 2026: The GPU Market That Left Cosmos" (Aug 2026); Cointribune, "Best Decentralized AI Platforms in 2026" (Sep 2026); "The Decentralized Compute Risk Matrix: Render vs. Akash vs. io.net" (Aug 2026).
Render's Defensible Advantage: Creative-Industry Heritage
Render's core competitive moat stems from a heritage that neither Akash nor io.net can replicate. As one August 2026 analysis put it, Render "spent roughly seven years delivering film-grade 3D rendering on consumer GPUs before turning that infrastructure toward machine learning and AI workloads."
That accumulated track record positions Render as the default choice for VFX studios, 3D animators, and generative media creators who require GPU compute with an established, auditable reliability record rather than a newly aggregated cluster of commodity hardware.
Where io.net competes primarily on raw scale — aggregating a large pool of GPU devices — and where Akash, built on Cosmos architecture, targets broad general cloud workloads including CPU-intensive jobs, Render competes on ecosystem depth and use-case specificity.
Granular node-count comparisons across networks are not verifiable from institutional sources as of September 2026, but Render's risk score of 90/100 and average uptime SLA of 99.8% (per the decentralized compute risk matrix, August 2026) underline the reliability argument it makes to enterprise creative clients.
Distill Intelligence identifies an even broader competitive field — including Aethir, Clore.ai, Golem, iExec, Nosana and Flux — as principal rivals in GPU and decentralized cloud compute for AI and rendering workloads, suggesting the landscape is fragmenting beyond a simple three-way race.
Technical Differentiator: Solana-Native Architecture and the Dispersed Subnet
Render's Solana-native deployment gives it a network-effect foothold within Solana's expanding DeFi and AI ecosystem — a fast-settlement, low-fee environment well-suited to high-frequency compute job settlement.
The governance proposal RNP-021, passed in late 2025, expanded Render's hardware framework to support NVIDIA H100, H200, A100 and AMD MI300-series GPUs, laying the groundwork for its AI-focused Dispersed compute subnet.
The Dispersed subnet debuted at Solana Breakpoint 2025 and was formally launched in August 2026, formalizing Render's strategic pivot toward AI and general-purpose compute alongside its 3D rendering heritage.
This Solana concentration also creates a risk asymmetry that multi-chain networks like Akash do not face: any Solana-level network congestion or outage event directly impacts Render's node availability and token utility settlement — a systemic dependency that traders should weigh when comparing DePIN infrastructure investments.
Market Standing and Sector Context
As of August 2026, RENDER's market cap of approximately $765 million (ranked #84 globally) is materially larger than Akash's $164 million and io.net's $54 million, even though all three tokens trade significantly below their 2024 all-time highs. RENDER itself sits around $1.48, down roughly 89% from its ATH of $13.53.
The broader decentralized-compute market provides meaningful tailwinds for all these networks: sector research estimates the market at roughly $8.94 billion in 2026, growing toward a projected $22.48 billion by 2030.
Render and its competitors are vying for share in this expanding niche, with Render positioned among the "Top 5 decentralized AI compute networks to watch in 2026" by sector analysts, emphasizing its creative GPU heritage and ongoing shift into AI workloads.
Render Network is also noted among DePIN projects generating $10 million or more in revenue from distributed GPU compute for 3D rendering, generative AI and VFX — though an exact Render-only revenue figure is not publicly broken out from available institutional data as of September 2026.
Community engagement metrics and narrative momentum around Render's AI pivot remain constructive, and the divergence between its relative market cap strength versus peers and the depth of its token drawdown is a dynamic worth monitoring as AI infrastructure sector rotation continues through 2026.
Traders considering exposure to this theme can access RENDER on CoinUnited, where applicable trading fees are tiered by 30-day contract volume, and leverage is available subject to product and eligibility. Check the platform for current trading conditions before you trade.
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Trading RENDER Perpetual Futures on CoinUnited.io: Leverage, Volatility, and Strategy
RENDER perpetual futures on CoinUnited.io offer traders direct exposure to a mid-cap AI infrastructure token with a documented history of extreme price cycles — including an 80–86% drawdown from its March 2024 peak — making disciplined position sizing and volatility-aware strategy far more decisive than the leverage ceiling itself.
As of early September 2026, RENDER trades with a market capitalization of roughly $740–750 million, approximately $35 million in 24-hour spot volume, and a circulating supply near 518.8 million RENDER against a maximum supply of 644.25 million RENDER, according to Investlytic data from September 2, 2026.
Notably, during a volatility event on September 7, 2026, futures volume surged to $67.30 million against only $21.25 million in spot volume, while open interest climbed to approximately $52.62 million — underscoring how leveraged perpetuals can temporarily dominate RENDER trading activity entirely, according to Coingabbar citing Coinglass data.
Understanding RENDER's Volatility Profile Before Applying Leverage
Leverage is available on RENDER perpetual futures on CoinUnited.io, subject to product and eligibility conditions — but the platform's maximum ceiling should not be conflated with appropriate leverage for RENDER specifically. An asset that has shed over 80% of its value within a single cycle can erase even modestly leveraged positions in days.
The September 2026 episode — where futures volume outpaced spot volume by more than 3-to-1 — illustrates precisely how rapidly leveraged crowding can accelerate price dislocations in both directions.
A useful framework: if a trader opens a hypothetical $200 notional position using $1 of capital at 200x leverage, a 0.5% adverse move triggers full liquidation — well within RENDER's typical intraday range during high-volatility episodes. The risk of liquidation is real and should be weighed carefully before any position is sized.
Practical position sizing should anchor notional exposure to a drawdown tolerance consistent with RENDER's historically wide weekly price ranges, not to the theoretical maximum the platform permits.
Funding Rate Dynamics: The AI Narrative Sentiment Cycle
RENDER's perpetual funding rate regime is meaningfully shaped by its AI narrative sentiment cycles. During periods of elevated social activity — when RENDER ranks among top tokens by social volume on platforms such as LunarCrush, or around catalysts like RenderCon events — long-side crowding tends to push funding rates sharply positive.
Derivatives analytics from August 29, 2026 showed RENDER perpetual futures open interest at around $5.34 million with a funding rate near 0.0050%, according to Mirkaso, suggesting relatively balanced long/short pressure at that point.
However, the subsequent September 7 open interest reading of $52.62 million demonstrates how quickly positioning can shift when AI narrative momentum accelerates — nearly a tenfold increase in open interest within roughly one week.
Monitoring funding rate normalization following such spikes — the period when funding reverts toward zero or turns negative — offers a mean-reversion signal framework that does not require a directional view on RENDER's underlying fundamentals.
Trading fees on CoinUnited.io are tiered by 30-day contract volume; review the current fee schedule before factoring carry costs into multi-period mean-reversion setups.
On-Chain BME Signals as a RENDER-Specific Trading Edge
The Burn-and-Mint Equilibrium dashboard provides a crypto-native catalyst layer unique to RENDER that has no parallel in equity or forex perpetuals.
With a circulating supply of approximately 518.77 million RENDER against a maximum supply of 644.25 million — meaning most of the eventual supply is already liquid — perpetual futures exposure largely tracks a widely distributed underlying base, according to Investlytic and fundamental analysis from August 2026.
Traders can structure entries around epochs where burn volume approaches or exceeds the emission threshold, as supply absorption accelerating beyond emissions represents a measurable on-chain tailwind.
Conversely, epochs where burns lag materially below emissions warrant reducing notional exposure or tightening stop parameters, since the token supply headwind compounds any price weakness driven by broader market sentiment.
Layered Entry Approach During Futures-Dominated Volatility Episodes
With RENDER demonstrating the capacity to see futures volume outstrip spot volume by more than 3-to-1 during September 2026 volatility events, an all-in leveraged entry during momentum surges concentrates gap risk precisely where crowding is highest.
Open interest rising from approximately $5.34 million in late August to $52.62 million by early September illustrates how rapidly the speculative landscape can shift.
A layered entry framework — initiating a partial position on initial breakout confirmation, then adding on confirmed retests of key moving averages rather than chasing continuation — distributes cost basis and reduces the impact of the pullbacks that historically follow leveraged crowding in mid-cap AI tokens.
This approach is particularly relevant because RENDER is a Solana-native token: network congestion events on Solana can cause spot price dislocations relative to futures prices, temporarily widening basis. Check that trading hours and product conditions are confirmed on the platform before entering any position.
| Strategy Component | RENDER-Specific Consideration | Application |
|---|---|---|
| Leverage Selection | 80–86% cycle drawdowns; futures volume 3x spot in Sept 2026 | Leverage available subject to eligibility; size to survive wide intraday ranges |
| Funding Rate Monitoring | OI surged ~10x in ~1 week (Aug→Sept 2026) | Fade elevated funding post-spike as mean-reversion signal |
| BME On-Chain Signal | 518.8M circulating vs 644.25M max supply; wide float | Add exposure when burns approach emissions threshold |
| Entry Timing | Futures-dominated volatility episodes create rapid dislocations | Layer entries; await moving average retests rather than chasing |
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Frequently Asked Questions
Render Network is a decentralized GPU compute platform built on Solana that connects artists, developers, and AI workloads with node operators who contribute idle GPU power. The RENDER token serves as the medium of exchange within this ecosystem: creators pay RENDER to access rendering and compute services, while GPU node operators earn RENDER for processing those jobs. The network has processed a cumulative 69.4 million frames to date, with approximately 24.3 million frames processed in 2025 alone and around 5,600 active GPU nodes currently online. Beyond traditional 3D rendering, Render has expanded to handle AI inference, generative media, and other compute-intensive workloads, with AI jobs now comprising 35-40% of total network volume. This dual-use case — creative rendering plus AI compute — distinguishes RENDER from single-purpose blockchain projects and underpins its utility-driven demand thesis.
Render (RENDER) Yield
Earn passive income on your Render holdings through various yield-generating opportunities. Compare the annual percentage yields (APY) offered by leading cryptocurrency platforms and choose the best option for your investment strategy. CoinUnited.io offers competitive rates with flexible terms and bank-grade security.
| # | Service Provider | Yield Type | Net APY | DeFi/CeFi |
|---|---|---|---|---|
| 1 | Earn (Flexible) | N/A | CeFi | |
| 2 | Earn (Flexible) | 0.50%-2.00%Est. | CeFi | |
| 3 | Earn (Flexible) | 1.00%-3.00%Est. | CeFi | |
| 4 | Earn (Flexible) | 0.30%-8.00%Est. | CeFi | |
| 5 | Earn (Flexible) | 0.50%-2.50%Est. | CeFi | |
| 6 | Staking | 1.00%-5.00%Est. | CeFi | |
| 7 | Staking | 0.25%-20.00%Est. | CeFi | |
| 8 | Earn (Flexible) | 2.00%-4.00%Est. | CeFi |
⭐Earn Up to 125.00% APY on RENDER at CoinUnited.io
CoinUnited.io offers one of the most competitive RENDER yield programs in the industry. Our flexible earning product allows you to earn passive income while maintaining full liquidity—withdraw your funds anytime without lock-up periods or penalties.
- ✓No minimum deposit required - start earning from day one
- ✓Daily interest payouts automatically credited to your account
- ✓100% flexible - withdraw anytime with no penalties or lock-up periods
How to Start Earning
- 1.Create a free account at CoinUnited.io (takes less than 2 minutes)
- 2.Deposit RENDER to your CoinUnited.io wallet
- 3.Enable Flexible Earn and start earning interest immediately
Important Considerations
- ⚠️Yields are variable and may change based on market conditions
- ⚠️Your assets remain custodied by CoinUnited.io while earning yield
- ⚠️Past performance does not guarantee future returns
Disclaimer: APY rates shown are for reference only and may vary based on market conditions. Yields are not guaranteed and may change without notice. Cryptocurrency investments carry risk, including potential loss of principal. Please read our Terms of Service and risk disclosures carefully before participating in yield products.
Source Map
Every figure on this page traces to a primary or named third-party source. "As of" dates the source; "last checked" dates our most recent read of it.
Every figure here is also published as machine-readable data, and re-checked on a schedule so a stale one shows up as stale. View the raw data
| Field | Value | Source | As of | Last checked | |
|---|---|---|---|---|---|
| Market cap rank | #90 | CoinGecko | 2026-09-13 | 2026-09-13 | View |
| Market cap | $711M | CoinGecko | 2026-09-13 | 2026-09-13 | View |
| Fully diluted valuation | $732M | CoinGecko | 2026-09-13 | 2026-09-13 | View |
| All-time high | $13.53 (2024-03-17), 90% below | CoinGecko | 2026-09-13 | 2026-09-13 | View |
| All-time low | $0.0367 (2020-06-16) | CoinGecko | 2026-09-13 | 2026-09-13 | View |
| Circulating supply | 518.78M RENDER (80.5% of max supply) | CoinGecko | 2026-09-13 | 2026-09-13 | View |
| Maximum supply | 644.25M RENDER | CoinGecko | 2026-09-13 | 2026-09-13 | View |
Disclaimers & References
Important Risk Disclaimer
All Render price predictions and forecasts presented on this platform are purely for informational and educational purposes. They do not constitute financial advice, investment recommendations, or guidance of any kind.
Cryptocurrency markets are highly volatile and unpredictable. Past performance is not indicative of future results. The predictions shown are based on mathematical models, historical data analysis, and various technical indicators, but cannot account for unforeseen market events, regulatory changes, or other external factors.
Users should conduct their own research and consult with qualified financial professionals before making any investment decisions. The creators and operators of this platform assume no responsibility for any financial losses or other damages that may result from reliance on the information provided.
Investing in cryptocurrencies involves substantial risk, including the possible loss of the entire investment amount.
Methodology Overview
Our Render price predictions utilize a multi-factor approach combining:
- Technical analysis (moving averages, oscillators, chart patterns)
- Machine learning models (LSTM networks, regression models)
- On-chain metrics (transaction volume, active addresses, exchange flows)
- Sentiment analysis (social media, news, crowd psychology)
- Macro factors (inflation, interest rates, correlation with traditional markets)
Last methodology review:
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