Why did the price of RENDER fall?

Render (RENDER) dropped 26.18% in the last 24 hours, falling to $2.40. This decline was sharper than the overall crypto market, which fell by 8.62%. The main reasons behind this drop include:

1. Market-wide sell-off – Many altcoins were sold off heavily as Bitcoin’s dominance increased to 60.13%.
2. Technical breakdown – RENDER’s price fell below an important support range between $3.19 and $3.40.
3. Liquidity crunch – Trading volume spiked to 17.5%, indicating panic selling in a market with fewer buyers.

Deep Dive

1. Overall Crypto Market Decline (Negative Impact)

Overview:
The total value of all cryptocurrencies dropped by 8.62% in 24 hours, from $3.78 trillion to $3.46 trillion. Altcoins, like RENDER, were hit the hardest. Meanwhile, Bitcoin’s share of the market rose to 60.13%, up 1.87% in a day, showing investors moving toward what they see as safer assets.

What this means:

• RENDER’s larger drop of 26.18% shows it’s more volatile compared to the overall market.
• The Altcoin Season Index fell 27.45%, signaling investors are pulling money out of riskier altcoins.
• About $77.77 million worth of crypto positions were liquidated in 24 hours, adding to the downward pressure.

Key watch: Bitcoin’s price is crucial—if it falls below $109,000, altcoins like RENDER could see even bigger losses.

2. Technical Breakdown (Negative Impact)

Overview:
RENDER’s price fell below its 200-day moving average ($3.84) and a key support zone between $3.19 and $3.40. The Relative Strength Index (RSI) dropped to 31.47, indicating the coin is oversold but hasn’t yet stabilized.

What this means:

• Automated trading systems likely sold off as the price broke below the $3.19 low point.
• The MACD indicator shows increasing downward momentum.
• The next major support level is at $2.46 (last seen in June 2025), but low trading volume could cause more price swings.

Key watch: If RENDER can close above $2.80, it might see a short-term bounce. If not, it could test the $2.20 level.

3. Sector-Specific Factors (Mixed Impact)

Overview:
Despite strong performance from NVIDIA’s stock, AI and GPU-related tokens like RENDER underperformed. Grayscale’s recent fund changes added a new AI token, Story (IP), which reduced RENDER’s share in their AI fund.

What this means:

• Investors took profits after RENDER’s impressive 400% gain earlier this year.
• The Render Compute Network’s trial phase starting in July 2025 hasn’t yet helped offset broader market challenges.
• On-chain data shows 207,900 USDC tokens were burned in July, but new tokens were minted to reward network participants, increasing supply.

Conclusion

RENDER’s sharp decline is the result of a combination of overall market risk aversion, technical price breakdowns, and profit-taking in AI-related tokens. While its decentralized GPU platform has strong long-term potential, a near-term recovery depends on Bitcoin’s price stabilizing and RENDER reclaiming the $2.80 resistance level.

Key watch: Can RENDER hold the demand zone between $2.46 and $2.70? If it fails, the price could drop further toward $2.00.

What could affect the price of RENDER?

Render is navigating growing AI demand and network expansion amid ongoing cryptocurrency market ups and downs.

1. AI Sector Growth – NVIDIA’s stock surge and big investors are boosting interest in GPU-related tokens like Render.
2. Network Growth – More node operators and active trials aim to meet rising AI and 3D computing needs.
3. Token Supply Changes – Adjustments in token burning and minting, plus governance votes, are affecting supply dynamics.

Deep Dive

1. AI Compute Demand (Positive Outlook)

Overview:
Render operates a decentralized GPU network designed to support AI tasks, 3D rendering, and metaverse projects. The crypto AI sector’s market value jumped 8.8% in just 24 hours (Coingecko) after NVIDIA’s stock hit record highs, highlighting renewed interest in GPU-linked tokens. Render’s compatibility with popular tools like Blender and partnerships with AI companies such as Stability AI increase its practical use.

What this means:
RENDER tokens could see growth as AI infrastructure needs expand. For example, the token rose 4% in July 2025 after Grayscale included it in their Decentralized AI Fund. However, competition from centralized cloud providers like AWS and Google, as well as other decentralized projects like io.net, could limit how far Render can grow.

2. Network Expansion & Governance (Mixed Outlook)

Overview:
Render’s Compute Network is in a trial phase, having processed 1.49 million frames in July, with efforts underway to onboard more U.S.-based node operators to handle AI and machine learning workloads. Token emissions are controlled by governance proposals such as RNP-018, which adjusts how many tokens are minted as rewards for node operators and grants. Currently, 518.6 million RENDER tokens are in circulation (about 97% of the maximum supply), with 776,527 tokens burned so far this year.

What this means:
Higher network usage could reduce token supply through the Burn-and-Mint Equilibrium model, helping support token value. But if too many tokens are minted weekly (around 15,000 RENDER to node operators), it could dilute value. The project’s success depends on attracting enough users and balancing incentives for token holders and network participants.

3. Market Sentiment & Regulation (Potential Risks)

Overview:
The overall crypto market, valued at $3.77 trillion, fell 9.1% in 24 hours, with altcoins generally underperforming Bitcoin. Regulatory actions, such as Kazakhstan shutting down 130 crypto platforms, and uncertainty around U.S. Federal Reserve interest rates are adding pressure. Render’s price moves closely track Bitcoin, with a 30-day correlation of 0.82 according to CoinMarketCap.

What this means:
Wider market downturns could pull RENDER prices down, as seen in a 37% drop over the past month. Still, Render’s focus on AI and GPU computing might help it hold up better than some other tokens if investors continue shifting toward AI-related projects.

Conclusion

Render’s future price depends on how quickly AI adoption grows, improvements in network performance, and overall crypto market conditions. While NVIDIA’s leadership and rising GPU demand are positive factors, token supply management and broader market risks call for careful monitoring. Will Render’s Compute Network attract enough AI workloads to balance out token inflation? Keep an eye on monthly token burn rates and the number of active node operators for clues.

What are people saying about RENDER?

Render’s community is caught between hope for a price breakout and fear of a breakdown, as excitement about AI meets market ups and downs. Here’s what’s happening now:

1. Traders are debating whether Render will break above $3.30 or fall below $2.70
2. Network activity is growing with Hollywood using the platform and new AI Compute Network trials starting
3. Grayscale added RENDER to its Decentralized AI Fund, showing growing institutional interest

In-Depth Look

1. @AssetSwapAI: Render’s Real-World Use Is a Positive Sign

"400% year-over-year growth, over $15 million in annual revenue from GPU rendering – Hollywood clients are onboard."
– @AssetSwapAI (12.4K followers · 28K impressions · 2025-06-15 05:58 UTC)
View original post
What this means: This is good news for RENDER because it shows the platform is being used for real services, not just trading speculation. The revenue comes from actual demand for GPU computing power from major clients like Hollywood studios.

2. @rendernetwork: Growth in Compute Network Activity

"July report: 1.49 million frames rendered, 207.9K USDC tokens burned. US nodes are starting to handle AI workloads."
– @rendernetwork (387K followers · 1.2M impressions · 2025-08-09 18:20 UTC)
View original post
What this means: This is somewhat positive. Expanding AI infrastructure could increase demand for RENDER over time. However, new tokens being created as rewards for network nodes might put short-term pressure on the price.

3. CoinMarketCap Analyst: Price Resistance at $4.00 Looks Tough

"RENDER hit resistance at $4.06 and is now testing support at $4.00. If buyers don’t step in, price could drop to $3.97."
– CoinMarketCap Community (Post 366713221 · 2025-08-10 05:22 UTC)
View original post
What this means: This is a bearish sign in the short term. If RENDER can’t hold above $4.00, automated selling might push the price lower. But if it climbs back above $4.04, sentiment could improve.

4. Grayscale: Institutional Support Boosts Confidence

RENDER has been added to Grayscale’s Decentralized AI Fund with a 12.9% allocation, alongside NEAR and Bittensor.
– Grayscale Announcement (2025-07-25)
Source
What this means: This is a strong positive. Institutional investment like this signals confidence in RENDER’s role in AI infrastructure and could bring more long-term investors.

Conclusion

The outlook for RENDER is mixed. On the positive side, real-world use cases like Hollywood adoption and growing AI compute demand support its value. On the downside, technical price challenges and token supply issues create uncertainty. Grayscale’s backing and solid network usage (currently at 80%) provide a foundation, but price will likely follow broader crypto market trends. Keep an eye on the AI sector’s momentum (linked to NVIDIA’s stock) and how much the RENDER network is being used for clues about where this is headed. The key question remains: Can GPU-powered rendering overcome market fears and doubts?

What is the latest news about RENDER?

Render is capitalizing on the growing interest in AI and institutional investments while expanding its decentralized computing network. Here are the latest highlights:

1. Grayscale Adds Render to AI Fund (October 9, 2025) – Render (RENDER) is now part of Grayscale’s Decentralized AI Fund, increasing its visibility among institutional investors.
2. Crypto AI Sector Reaches $32 Billion Amid NVIDIA Rally (October 2, 2025) – Render’s token price rose 4% as AI-related cryptocurrencies surged alongside NVIDIA’s stock.
3. Render Teams Up with Hollywood Producer (June 20, 2025) – A partnership with producer Andrey Lebrov aims to expand GPU-powered content creation for large-scale projects.

In-Depth Look

1. Grayscale Adds Render to AI Fund (October 9, 2025)

What happened:
Grayscale Investments updated its Decentralized AI Fund by adding Render (RENDER) alongside other projects like NEAR and Bittensor. Render now makes up 12.9% of the fund, showing growing interest from institutional investors in decentralized GPU computing for AI and machine learning tasks.

Why it matters:
This move is a positive sign for Render, confirming its importance in AI infrastructure and potentially attracting more passive investments. Grayscale’s fund changes often indicate broader market trends, which could increase demand for Render’s limited token supply. However, Render faces competition from newer AI projects in the fund, such as Story (IP).
(Grayscale)

2. Crypto AI Sector Reaches $32 Billion Amid NVIDIA Rally (October 2, 2025)

What happened:
The total market value of AI-related cryptocurrencies jumped 8.8% to $32 billion, driven by NVIDIA’s stock reaching record highs. Render’s token price increased by 4%, benefiting from its role in GPU rendering and partnerships with companies like Stability AI.

Why it matters:
Render’s performance is closely linked to NVIDIA’s success, highlighting its connection to AI infrastructure demand. While short-term price increases reflect overall market enthusiasm, Render’s practical use in rendering and AI training suggests it has potential for long-term growth. However, expect price swings if NVIDIA’s momentum slows.
(Coinspeaker)

3. Render Teams Up with Hollywood Producer (June 20, 2025)

What happened:
Render Network partnered with digital producer Andrey Lebrov to develop decentralized GPU workflows for large-scale Hollywood projects. This collaboration aims to demonstrate Render’s ability to handle high-end visual effects and immersive content creation.

Why it matters:
This partnership boosts Render’s reputation in the media and entertainment industry, a key area for growth. Successful projects could increase network usage and lead to more token burns (reducing supply). However, widespread adoption depends on solving latency issues and competing with established cloud providers like Amazon Web Services (AWS).
(CoinMarketCap)

Conclusion

Render is riding the wave of AI excitement, institutional investments, and notable partnerships to strengthen its position in decentralized computing. While recent gains are supported by NVIDIA’s and Grayscale’s momentum, Render’s future success depends on expanding real-world use. Will Hollywood’s interest in decentralized rendering lead to steady demand for RENDER tokens? Time will tell.

What is expected in the development of RENDER?

Render’s roadmap focuses on empowering its community, advancing AI and GPU technology, and growing its creative ecosystem.

1. Blender Integration Expansion (October 23–25, 2025) – Enhancing tools for Blender users.
2. AI Compute Network Scaling (Q4 2025) – Increasing decentralized GPU access for AI tasks.
3. Governance Proposals (Ongoing) – Community-led upgrades through Render Network Proposals (RNPs).

Deep Dive

1. Blender Integration Expansion (October 23–25, 2025)

Overview: At the Blender Conference 2025, Render will highlight improvements in how Blender artists can use decentralized GPU rendering. This means making it easier and more affordable for millions of Blender users to create high-quality, real-time rendered projects (Render Network).
What this means: This is a positive sign for RENDER. Better Blender support could attract more users, increasing demand for Render’s network and token. However, how quickly users adopt these tools and competition from centralized services are potential challenges.

2. AI Compute Network Scaling (Q4 2025)

Overview: After testing in July 2025, Render is bringing in U.S.-based operators to expand its AI-focused Render Compute Network. This network provides decentralized GPU power for AI tasks like machine learning and edge computing, addressing the current shortage of GPUs (July 2025 Report).
What this means: This development is cautiously optimistic. AI demand could increase RENDER’s use, but success depends on smooth technical rollout and competition from similar projects like io.net.

3. Governance Proposals (Ongoing)

Overview: Render’s roadmap is guided by Render Network Proposals (RNPs), which let the community vote on changes. Recent proposals include adjustments to token emissions and incentives for node operators. Discussions happen openly on Discord and Telegram, supporting decentralized decision-making (Render Foundation).
What this means: Governance transparency builds trust, but delays or disagreements in voting could slow progress.

Conclusion

Render is focusing on building AI infrastructure, improving creative tools, and involving its community in decisions. These efforts match the growing need for decentralized computing power, but success will depend on how well Render manages growth and competition. The key question remains: how will RENDER balance scaling its network while keeping it decentralized as more users join?

What updates are there in the RENDER code base?

Render’s software updates focus on improving AI computing power, governance, and tools for its community.

1. Compute Network Expansion (July 2025) – Bringing in U.S.-based node operators to handle AI tasks like edge machine learning.
2. Bounty Platform Launch (July 2025) – Rewarding developers and artists with RENDER tokens for contributing to the ecosystem.
3. Emissions Governance (Ongoing) – Updating token minting rules through community proposals to better support AI workloads.

Deep Dive

1. Compute Network Expansion (July 2025)

Overview: Render is testing its AI-focused Compute Network, designed for machine learning and real-time AI tasks. This update includes adding node operators in the U.S. to increase decentralized GPU resources.

The system now uses improved algorithms to distribute AI jobs more efficiently, reducing delays for applications like edge machine learning (processing data close to where it’s generated). Node operators must meet higher hardware and network standards, moving toward enterprise-level infrastructure.

What this means: This is positive for RENDER because it helps the network compete with big centralized cloud providers by offering affordable GPU access for AI developers. (Source)

2. Bounty Platform Launch (July 2025)

Overview: Render launched a bounty platform that rewards developers and artists with RENDER tokens for contributing to the ecosystem.

The platform uses smart contracts to automatically verify completed tasks and distribute rewards. It integrates with GitHub for coding projects and Blender for 3D rendering work. This supports Render’s goal of decentralizing development and speeding up tool creation around its core technology.

What this means: This is somewhat positive for RENDER because it could increase developer engagement, though success depends on ongoing participation. Key metrics to watch include how many bounties get completed and how widely new tools are adopted. (Source)

3. Emissions Governance (Ongoing)

Overview: The rules for minting new tokens to reward node operators, fund grants, and cover operations are now managed by RNP-018, a proposal approved by the community in Q2 2025.

This proposal tweaks the Burn-Mint Equilibrium model on the Solana blockchain, cutting foundation emissions by 8% and shifting more tokens to node operators working on AI jobs. Smart contracts automatically adjust minting rates based on quarterly USDC token burns.

What this means: This is neutral for RENDER because it balances token supply but adds some risk in execution. Keeping node operators engaged after these changes will be important. (Source)

Conclusion

Render is updating its codebase to better support AI and machine learning while refining its token economics through community governance. The Compute Network expansion and bounty platform show a clear focus on growing decentralized infrastructure for AI workloads. The big question remains: will GPU providers meet the higher standards needed to support these AI tasks effectively?