๐Ÿ”Ž Fundamental Research


๐ŸŒ Project Vision & Mission

Render Network decentralizes GPU power by connecting artists, AI developers, and creators with idle GPUs. The goal is to make rendering faster, cheaper, and scalable for industries like VFX, gaming, metaverse, and AI.


๐Ÿ‘จโ€๐Ÿ’ป Team Background & Experience

  • Founded by Jules Urbach (CEO of OTOY, a leader in 3D graphics).

  • Backed by a strong team of blockchain engineers & rendering experts.

  • Advisors include experts from Nvidia, blockchain, and entertainment industries.


โš”๏ธ Competitor Analysis

  • Centralized Competitors: AWS, Google Cloud, Microsoft Azure (offer GPU on-demand).

  • Decentralized Competitors: Akash Network, Ankr, Clore AI, Render-like GPU marketplaces.

  • Renderโ€™s advantage: real adoption in AI & creative industries.



๐Ÿ’ฐ Tokenomics & Market Data


๐ŸŽฏ Use Cases & Target Market

  • Payment for GPU rendering services (3D, VFX, AI).

  • Incentivizes GPU providers to rent unused power.

  • Target users: studios, AI startups, designers, developers.

๐Ÿ’ธ Token Supply & Distribution

  • Max Supply: ~644M tokens

  • Circulating Supply: ~518M tokens

  • Allocation: team, partners, treasury, GPU providers, community.

โณ Vesting Schedules

  • Long-term unlocks until 2030 for team/partners.

  • Prevents sudden token dumps, ensures sustainability.


๐Ÿ“‰ Inflation/Deflation Mechanisms

  • Uses Burn-Mint Equilibrium (BME):

    • Tokens are burned when used for rendering.

    • New tokens are minted via emissions.

    • Creates deflationary pressure during high demand.

๐Ÿ“ˆ Market Cap & Volume

  • Market Cap: Mid-cap crypto project.

  • High liquidity and trading volume (especially during AI hype cycles).

๐Ÿฆ Exchange Listings

  • Listed on Binance, Coinbase, KuCoin, Bybit, OKX, and many more.

  • Easy global accessibility.



๐Ÿ“ˆ Price Trends โ€“ Strong growth during AI narratives (2023โ€“2024). Pullbacks happen with crypto market corrections.

๐Ÿ“‰ Support & Resistance Levels โ€“ Key levels at $3.50 (support) and $5.00 (resistance).

๐Ÿ“Š Volume Analysis โ€“ Rising trading volume often signals accumulation before price breakouts.

๐Ÿ’ช Relative Strength Index (RSI) โ€“ Useful to spot overbought ๐Ÿ”ด and oversold ๐ŸŸข conditions.

๐Ÿ“ Moving Averages โ€“ 50-day & 200-day averages help track short vs long-term trends.



๐Ÿ“ˆ Technical & Market Analysis


โš ๏ธ Risk Factors

๐Ÿ›๏ธ Regulatory Risks โ€“ New crypto & AI regulations could limit adoption.

โš”๏ธ Competition Risks โ€“ Other GPU networks or big tech could capture market share.

๐Ÿ›ก๏ธ Security Vulnerabilities โ€“ Smart contract exploits or bridge hacks possible.

๐Ÿค– Technological Risks โ€“ Depends on GPU demand & Solana scalability after migration.

๐ŸŒช๏ธ Market Volatility โ€“ Price heavily influenced by crypto cycles & AI hype.



โœจ Conclusion


Render (RNDR/RENDER) is a strong AI + GPU project ๐ŸŽฅโšก with real-world adoption, innovative tokenomics (BME), and wide exchange support. It has the potential to become the leading decentralized GPU rendering network.

$RENDER