RENDER is back on traders’ radar after stabilizing near a major long-term support zone. A TradingView chart shared by Crypto Patel shows the token still trading inside a multi-year descending structure, with price compressing between long-term support and resistance as market participants watch for any continuation from this setup.
According to the chart, RENDER is trading close to a key accumulation area around $1.00. That zone acted as a launch point in earlier bullish cycles. The current structure formed after a steep decline from prior highs, with lower highs and weaker momentum dominating the correction. Now the pace of selling appears to be easing, at least near support.
Usage metrics remain central to the RENDER story
Crypto Patel said Render Network has processed more than 71 million rendered frames over its history. That figure is being watched as a sign of actual network usage rather than price-driven speculation alone. For decentralized compute networks, sustained task volume tends to carry more weight than short-term token moves.
The network’s burn-and-mint model is also a major part of the current thesis around RENDER. Each rendering job contributes to token burns across the ecosystem. Patel reported that burns increased by roughly 278% year over year as AI-related demand climbed. In practice, that ties deflationary pressure more closely to real activity on the network.
AI workloads now account for 35% to 40% of volume
One of the clearest shifts is in the network’s workload mix. AI tasks now represent about 35% to 40% of Render Network volume. That points to stronger demand for decentralized compute infrastructure used by artificial intelligence applications, extending the network’s role beyond traditional rendering jobs.
Capacity has also expanded. Patel said the Salad Network integration tied to RNP-023 added around 60,000 GPUs to the decentralized ecosystem. He also referenced enterprise-grade hardware deployments including NVIDIA H200 and AMD MI300X GPUs, which support higher-performance AI inference and machine-learning workloads as network activity grows.
Institutional allocation and industry visibility stay in focus
Institutional exposure is another factor being tracked closely. Grayscale reportedly assigns around 22% of its AI-focused crypto portfolio to RENDER. That allocation has added to market interest in the token as a proxy for AI-related activity within digital asset portfolios.
Patel also pointed to participation at RenderCon 2026 involving representatives from NVIDIA, Stability AI, and WME. The event did not settle the price outlook, but it did add to attention around Render Network’s enterprise and institutional positioning. With price still sitting inside a larger technical structure, demand growth, token burns, and added compute capacity remain the main indicators in view.