

ChainGPU (CGPU) operates at the intersection of blockchain technology and artificial intelligence resource democratization, establishing itself as a key player in making GPU and AI resources more accessible to the broader ecosystem. Since its launch in August 2024, CGPU has demonstrated significant market volatility, reflecting the dynamic nature of emerging AI-focused blockchain projects. As of January 2026, CGPU maintains a market capitalization of approximately $346,400, with a circulating supply of 1.73 million tokens trading around $0.03464 per unit. This innovative asset, recognized for its role in creating a symbiotic ecosystem connecting hardware owners, AI enthusiasts, and enterprises, is increasingly gaining traction in the convergence of blockchain and artificial intelligence sectors.
This comprehensive analysis will examine CGPU's price trajectories and market dynamics through 2031, integrating historical performance patterns, market supply-demand mechanics, ecosystem development milestones, and macroeconomic factors. Our analysis aims to provide investors with data-driven price forecasts and actionable investment strategies grounded in current market conditions and fundamental project developments.
As of January 5, 2026, CGPU exhibits the following market characteristics:
Price Performance Metrics:
Market Capitalization and Liquidity:
Supply Dynamics:
Market Position:
Despite the substantial year-over-year decline of -99.48% from the launch price, CGPU has demonstrated short-term recovery momentum with consecutive weeks of positive performance. The 24-hour surge of 8.86% and 30-day gain of 44.39% suggest renewed interest in the project's GPU and AI resource democratization proposition.
Click to view current CGPU market price

2026-01-04 Fear and Greed Index: 29 (Fear)
Click to view the current Fear & Greed Index
The cryptocurrency market is currently experiencing a fear sentiment with an index reading of 29. This level indicates heightened market anxiety and risk aversion among investors. When the Fear and Greed Index drops to this range, it typically reflects concerns about market volatility, regulatory pressures, or macroeconomic headwinds affecting digital assets. Such fearful conditions often present potential opportunities for long-term investors to accumulate positions at lower valuations. However, caution remains warranted as market uncertainty persists. Traders should implement proper risk management strategies and avoid emotional decision-making during periods of elevated fear in the cryptocurrency market.

The address holdings distribution map illustrates the concentration of token ownership across blockchain addresses, serving as a critical metric for assessing market decentralization and potential systemic risks. By tracking the top holders and their proportional stakes, this analysis reveals the degree to which token supply is concentrated among key market participants.
CGPU currently exhibits moderate concentration characteristics, with the top five addresses collectively controlling approximately 70.94% of the total token supply. The leading address dominates with 24.67% of holdings, while the second and third largest holders maintain positions of 15.31% and 11.96% respectively. This distribution pattern indicates that while significant wealth concentration exists among the top-tier holders, the remaining 29.06% dispersed across other addresses suggests an emerging decentralization trend. The relatively balanced decline in holdings from rank one through rank five demonstrates a gradual rather than extreme concentration gradient.
From a market structure perspective, this distribution presents both opportunities and considerations. The concentration among top five addresses creates potential liquidity pools and decision-making influence, which could theoretically impact price volatility during large liquidation or accumulation events. However, the presence of nearly 30% holdings outside the top five indicates a healthier distribution than severely compromised tokens, reducing concerns about coordinated market manipulation. The current configuration reflects a market transitioning toward broader participation while maintaining sufficient depth among institutional or significant stakeholders to provide trading stability.
Click to view current CGPU Holdings Distribution

| Top | Address | Holding Qty | Holding (%) |
|---|---|---|---|
| 1 | 0x8bfe...3dcffc | 2465.64K | 24.67% |
| 2 | 0xbcdd...0c2ad6 | 1530.00K | 15.31% |
| 3 | 0xb6f1...338348 | 1196.00K | 11.96% |
| 4 | 0xd57f...a82f59 | 1000.00K | 10.00% |
| 5 | 0xc1fe...0d6261 | 900.00K | 9.00% |
| - | Others | 2900.33K | 29.06% |
Advanced Process Node Constraints: Current domestic Chinese GPU manufacturers face limitations in accessing 7nm and below process technologies. To overcome this bottleneck, companies like Biren employ Chiplet technology, combining different process nodes (5nm+12nm) to achieve performance comparable to advanced process chips while reducing dependency on a single process node.
Historical Patterns: As production scales increase and companies transition from small-batch, high-value customized cluster solutions to standardized product cards, gross margins naturally adjust. Biren's gross margin declined from 76.4% (2023) to 53.2% (2024) to 31.9% (H1 2025), reflecting this market evolution.
Current Impact: With China's 12-inch wafer factory production capacity expected to reach 3.21 million wafers per month by 2026, and domestic wafer manufacturers raising prices by approximately 10% on BCD processes, upstream supply costs are increasing. This will likely pressure GPU manufacturers' pricing strategies and profitability in the near term.
Institutional Holdings: The "Four Dragon" GPU companies (Moore Threads, Muxi, Biren, and Tengsun) have collectively raised billions in funding from institutional investors. Moore Threads has completed over 10 rounds of financing totaling over 10 billion RMB, with pre-IPO valuation reaching 30 billion RMB. Muxi attracted over 100 investment institutions with seven funding rounds totaling tens of billions RMB, with post-investment valuation at 21.071 billion RMB. Biren completed 10 rounds over five years, raising over 9 billion RMB pre-IPO with pre-money valuation of 19 billion RMB.
Enterprise Adoption: Moore Threads has secured contracts with major data centers for its "Kuaer" 10,000-card cluster platform. Muxi reported 1.43 billion RMB in hand orders and large-scale delivery contracts with regional intelligent computing centers for H1 2025 revenue acceleration. Tengsun achieved 7nm GPGPU mass production with high compatibility test pass rates in internet and intelligent manufacturing sectors.
National Policy: Chinese government objectives require domestic intelligent computing chip market share to reach 30% by 2027. Domestic GPU products' market share increased from 8.3% (2022) to 17.4% (2024), with projections exceeding 50% by 2029. This policy environment represents a critical two-year "life-or-death sprint period" for domestic GPU manufacturers.
AI and Data Center Demand: Global semiconductor market size is projected to reach $7,722.43 billion in 2025 (22.5% YoY growth) and approach $1 trillion by 2026 (26.3% growth). China's high-end AI chip market is expected to grow over 60% in 2026, with domestic chipmakers capturing approximately 50% market share. AI and data center demand represents the primary driver sustaining semiconductor market expansion.
Geopolitical Factors: International trade shifts and geopolitical changes are prompting China to significantly expand independent core supply systems. Supply chain regionalization is catalyzing repeated construction and strategic stockpiling, amplifying market scale in the short term. GPU supply chains face potential constraints from EDA, advanced process nodes, advanced packaging, and system software—disruptions in any segment could severely impact domestic GPU commercialization and mass production.
Chiplet Technology Integration: Biren Technology pioneered 2.5D Chiplet packaging of dual AI computing bare dies in China, enabling flexible product combinations. Single chiplet configurations serve low-power applications while dual chiplet assemblies deliver high-performance versions, providing hardware-level extensibility and improved yield rates critical for mass production.
Software Stack Development: To break NVIDIA's CUDA ecosystem monopoly, domestic manufacturers employ differentiated strategies. Moore Threads introduced the MUSA ecosystem for high CUDA compatibility and lower developer migration costs. Muxi developed the MXMACA software stack. Biren constructed a "chip-server-industry solution" collaborative ecosystem. However, domestic GPU ecosystems remain significantly less mature than CUDA, which has attracted millions of global developers since its 2006 launch.
Ecosystem Applications: Moore Threads targets graphic rendering and AI computing dual-track platforms covering broader markets. Muxi emphasizes practical engineering delivery and industry implementation with low-to-high-end market coverage. Tengsun deployed "Tianshu" (training) and "Zhikai" (inference) dual-line products with strong vertical market presence in finance and security sectors. These commercial implementations validate domestic GPU capabilities in critical fields.
| 年份 | 预测最高价 | 预测平均价格 | 预测最低价 | 涨跌幅 |
|---|---|---|---|---|
| 2026 | 0.04514 | 0.03472 | 0.02812 | 0 |
| 2027 | 0.0551 | 0.03993 | 0.02476 | 15 |
| 2028 | 0.05132 | 0.04751 | 0.04514 | 37 |
| 2029 | 0.05386 | 0.04941 | 0.0252 | 42 |
| 2030 | 0.05784 | 0.05164 | 0.04544 | 49 |
| 2031 | 0.06404 | 0.05474 | 0.04105 | 58 |
(1) Long-term Holding Strategy
(2) Active Trading Strategy
(1) Asset Allocation Principles
(2) Risk Hedging Solutions
(3) Secure Storage Solutions
ChainGPU presents an interesting but highly speculative opportunity in the emerging AI and GPU resource sharing space. While the project's vision of democratizing AI resources aligns with significant industry trends, the token has demonstrated extreme volatility with a 99.48% decline from historical highs. The combination of ultra-low market liquidity, minimal circulating supply adoption (17.3% of total supply), and micro-cap status creates a high-risk environment suitable only for risk-tolerant investors. The project's success depends entirely on achieving significant ecosystem adoption and market validation.
✅ Beginners: Consider avoiding CGPU or allocating only 1% of capital as an experimental position; focus on understanding the project fundamentals through the whitepaper before committing funds
✅ Experienced Investors: May consider 3-5% portfolio allocation with strict risk management protocols, dollar-cost averaging strategies, and predetermined stop-losses to manage downside risk
✅ Institutional Investors: Suitable for venture capital or blockchain development funds with high risk tolerance; conduct thorough due diligence on the team, technology, and market adoption metrics before institutional allocation
Cryptocurrency investment carries extreme risk. This report does not constitute investment advice. Investors should make decisions based on their individual risk tolerance and consult professional financial advisors. Never invest more than you can afford to lose completely.
CGPU is a utility token designed for decentralized GPU computing networks. It enables users to access distributed computing power for AI, machine learning, and data processing tasks while allowing token holders to participate in network governance and earn rewards through staking and resource contribution.
CGPU current price is $0.03455. Historical high reached $73.51 on October 22, 2024, while the lowest price was $0.01996 on December 12, 2025. The token has shown significant volatility with 73.1% recovery from its recent low.
CGPU price prediction is primarily influenced by market sentiment, regulatory environment, trading volume, technological developments, and industry news. Market sentiment and regulatory clarity significantly impact price movements, while increased trading volume and positive technological innovations typically drive upward pressure on prices.
CGPU investment carries high capital expenditure risks that may exceed operational returns. Intense market competition and rapid technological updates require careful evaluation of investment returns and market timing.
CGPU enables multiple containers to share one GPU card, improving resource utilization while ensuring business isolation through virtualization technology, unlike traditional exclusive GPU usage models.
CGPU demonstrates strong growth potential driven by increasing GPU demand in AI and computing sectors. With advancing technology and expanding market adoption, CGPU is positioned for significant value appreciation. Industry trends suggest substantial upside potential in the coming years.











