Chutes (SN64) Price Tracker & Analysis
Live Price Comparison
Market Snapshot
Current Price: $38.38
24h Volume: $630,100
All-Time High: $76.12 (July 2025)
All-Time Low: $25.80 (Sept 30, 2025)
Short-term MACD shows bearish momentum. Long-term forecasts vary widely:
- LiteFinance: $38.50 by end of 2025 (+6%)
- CoinDataFlow: Up to $132.48 if adoption increases
- WalletInvestor: Average $36.88 in 2029 with upside above $50
About Chutes (SN64)
Chutes (SN64) is a decentralized AI compute platform that enables developers to run AI models without locking into cloud providers. It operates as a serverless network where node operators stake SN64 tokens to participate in processing inference jobs.
Token Uses:
- Payment for inference services
- Staking for node participation
- Governance voting rights
Platform features include focus on AI inference, support for open-source models, and future plans for "Long Jobs" capabilities.
When you see Chutes (SN64) is a cryptocurrency that powers a serverless, open‑source AI compute platform. its goal is simple: give developers a decentralized pool of GPU‑like resources for running AI models without locking into big‑cloud providers. The token blends regular crypto mechanics-trading, market cap, tokenomics-with a service‑oriented layer that promises on‑demand inference for open‑source models. If you’re trying to decide whether to watch, trade, or experiment with the network, you’ll need to understand three things: what the platform actually does, how the token behaves in volatile markets, and what risks sit behind the hype.
TL;DR
- Chutes (SN64) runs a serverless AI inference network that charges users in its own token.
- Live prices range from $27 to $51 across trackers, with a 24‑hour volume over $600k.
- All‑time high was $76.12 (July2025); all‑time low $25.80 (Sept302025).
- Technical analysis shows short‑term bearish MACD, but long‑term forecasts vary from $35 to $130.
- Key risks: limited public road‑map, data‑feed inconsistencies, and a small community footprint.
What is Chutes (SN64) and how does its AI compute platform work?
The platform markets itself as a serverless AI compute provider that lets anyone launch inference jobs without provisioning virtual machines. Instead of renting a cloud instance, developers submit a model and data payload to the network. Nodes-run by token‑holders who stake SN64-pick up the job, execute it on local hardware (often GPUs or specialized ASICs), and return the result. Because the service is “serverless,” users never see a traditional VM; they just pay per‑inference in SN64 tokens.
Two features set Chutes apart from generic DePIN (Decentralized Physical Infrastructure Network) projects:
- AI inference focus: The network is built around latency‑sensitive model serving, not storage or generic compute.
- Open‑source model scaling: It explicitly encourages the deployment of community‑maintained models like LLaMA, Stable Diffusion, and Whisper, aiming to keep the ecosystem accessible.
Future road‑map items-currently teased on the official site-include “Chutes Long Jobs,” a feature that will let developers run multi‑hour training or batch processing tasks, something not typical for serverless setups today.
Tokenomics: How does the SN64 token fit into the ecosystem?
SN64 serves three core purposes:
- Payment currency: Inference fees are paid in SN64, creating direct demand for the token as usage grows.
- Staking incentive: Node operators lock up SN64 to qualify for job assignments and earn a share of fees.
- Governance token: Holders can vote on protocol upgrades, fee structures, and node‑selection policies.
Supply data is murky. Major trackers list a circulating supply close to zero, a likely reporting error, while the market cap hovers around $75.8million. The discrepancy suggests that the token’s on‑chain metrics have not been fully integrated with analytics platforms, a common issue for newer DePIN projects.
Market snapshot - price, volume, and data inconsistencies (Oct32025)
As of today, price feeds diverge dramatically. Below is a quick comparison of the most cited trackers:
| Tracker | Price (USD) | 24‑h Change | Volume (USD) |
|---|---|---|---|
| CoinMarketCap | $27.56 | +3.2% | $630,100 |
| 3commas.io | $27.33 | -2.7% | $580,000 |
| Alternative source | $38.38 | +1.1% | $450,000 |
| DePIN Scan | $50.75 | +5.0% | $720,000 |
These gaps arise from three factors: (1) low‑liquidity trading pairs on niche exchanges, (2) delayed price oracle updates, and (3) differing methods of calculating circulating supply, which directly affect market‑cap numbers. Traders should treat any single price feed as a reference point rather than a definitive quote.
Technical analysis and price predictions
Short‑term charts tell a cautious story. MACD on the weekly timeframe shows the signal line crossing below the zero line, indicating bearish momentum. This aligns with the recent dip to $25.80 on September30, the lowest point since the token’s launch.
Long‑term forecasts, however, are all over the map:
- LiteFinance predicts a modest 6% rise to $38.50 by year‑end 2025.
- CoinDataFlow runs a bullish scenario, projecting a possible peak of $132.48 if the platform captures significant AI workload volume.
- WalletInvestor is more aggressive, seeing average prices near $36.88 in 2029 with upside potential above $50.
These models share a common assumption: wider adoption of decentralized AI compute will drive token demand. If the “Long Jobs” feature rolls out on schedule and partner integrations materialize, the higher‑end projections become plausible. Until then, the token remains a high‑volatility asset.
Risks, community, and adoption outlook
Every emerging DePIN project faces a handful of universal challenges, and Chutes is no exception:
- Liquidity risk: Thin order books mean price slippage can be severe for even modest trades.
- Data reliability: Inconsistent supply figures and price feeds make market‑cap calculations fuzzy.
- Limited community insight: A quick Reddit or Trustpilot search reveals only a handful of posts, suggesting the user base is still niche.
- Technical execution: No public benchmarks exist for latency or throughput; investors must trust the team’s claims.
On the upside, the AI compute market is projected to exceed $200billion by 2030, and decentralized alternatives could carve out a meaningful slice, especially for developers who need affordable, privacy‑preserving inference. If Chutes can demonstrate reliable performance and attract node operators, the token utility could scale dramatically.
How to get started with Chutes (SN64)
For anyone curious to experiment:
- Create a wallet that supports BEP‑20 tokens (most ERC‑20 compatible wallets work).
- Buy SN64 on a listed exchange-check the price table above for the most up‑to‑date quote.
- Stake a portion of your holdings via the official dashboard to become a node candidate.
- Use the API documentation to submit a small inference request (e.g., run a Whisper speech‑to‑text demo).
- Monitor your earnings and adjust staking amounts based on network demand.
Remember, staking rewards are paid in the same token you spend on inference, so price swings directly affect your net return.
Frequently Asked Questions
What does the ticker SN64 stand for?
SN64 is simply the symbol assigned to the Chutes token on crypto market trackers. It doesn’t encode a hidden meaning; the “64” references the 64‑bit architecture common in modern AI hardware.
Is Chutes a true DePIN project?
Yes. Chutes builds a Decentralized Physical Infrastructure Network that aggregates spare GPU capacity from token‑stakers, turning it into a shared AI inference pool.
How are inference fees calculated?
Fees are based on compute time (seconds) and data volume (megabytes). The protocol publishes a per‑second price in SN64 that updates once per block.
Can I run long‑running AI jobs today?
Not yet. The upcoming “Long Jobs” feature is still in beta; currently the network favors short inference workloads that finish within minutes.
What are the biggest risks of investing in SN64?
Liquidity constraints, volatile price feeds, limited public technical data, and the need for broader adoption of the compute platform all create uncertainty for investors.
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