AIGPU positions itself at the intersection of AI and decentralized GPU power. The idea: contributors supply GPU compute to a network and earn AIGPU, while AI builders access lower-cost, higher-efficiency compute. The project claims it can make GPUs up to 60% more efficient and undercut competitors by 50%+, but public documentation is sparse—so treat every claim as unverified until the team releases official materials.

Quick facts

• Symbol: AIGPU
• Contract: 0x433b6512f41be5f10ca9b1d7d7b5c60d05c7804f (BNB Smart Chain, BEP-20)
• Theme: AI + GPU compute, potentially a decentralized GPU marketplace or a community/meme-driven token with AI branding

Tokenomics and market snapshot

• Supply: Total supply reported as 1,000,000,000 (1B) AIGPU. Some trackers show “N/A” for circulating supply; one source reports 1B circulating (i.e., fully diluted in circulation).
• Market cap: Rough indications around ~$24.9K USD (figures vary by source and may be stale).
• Liquidity/volume: Very low reported 24h volume (sometimes $0–$100+), implying thin liquidity and slippage risk.
• Price history: ATH figures vary by data source (e.g., ~$0.01079 on June 12, 2024 vs. ~$0.02542 elsewhere). Current levels are far below ATH, and some trackers show an extreme drawdown, highlighting high volatility.

What this means in practice: with low liquidity and inconsistent data across aggregators, spreads can be wide, orders may not fill at expected prices, and price charts may be unreliable.

Intended utility (what the project hints at)

• Rewarding GPU providers: Participants could contribute GPU cycles to a decentralized network and earn AIGPU.
• Access/payment token: AIGPU could serve as payment for AI services (e.g., model training, inference, data processing) within the ecosystem.
• Governance or fees: If an ecosystem materializes, AIGPU could be used for voting, staking, or fee discounts.

Important caveat: As of now, there’s no verified whitepaper, official site, or transparent roadmap to confirm these roles. Treat utility as aspirational until proven.

Availability and trading

Public listings appear limited, and coverage on major aggregators is weak. Some platforms mention that AIGPU can be bought (e.g., Bitget references), while others either don’t list it or flag uncertainty. OTC or illiquid DEX trading introduces additional risk (price impact, MEV, and potential scams).

If you explore trading, consider:

• DEX on BNB Chain (if liquidity exists), such as PancakeSwap — always verify the contract address first.
• Centralized platforms noting availability (e.g., Bitget) — double-check pair, network, and deposit/withdraw support.
• Tracking and execution tools like gmgn.ai: AIGPU page for real-time analytics, order flow context, and risk checks.

Tip: Start with tiny test swaps, confirm token taxes and transferability, and watch slippage.

Technology context

• Chain: BNB Smart Chain (BSC) — low fees, fast finality, broad BEP-20 support.
• Contract: Standard BEP-20 at the address above. No public audit or advanced features are disclosed on BscScan. Lack of an audit increases smart contract risk.

Transparency and team

There’s no verified team info, public roadmap, or official documentation linked from the contract page. For early-stage or meme-leaning tokens, this is common—but it also means:

• Higher rug/scam risk.
• No clear accountability or development milestones.
• Harder due diligence and valuation.

Key risks to weigh

• Liquidity risk: Thin order books and low volume can lead to heavy slippage and difficulty exiting positions.
• Smart contract risk: No audit reported; permissions and token mechanics are unclear.
• Information asymmetry: Sparse, conflicting data across sources; potential for misinformation.
• Speculative dynamics: Price action may be driven by hype cycles more than fundamentals, common with meme/experimental tokens.
• Centralization/ownership: Unknown token distribution and admin rights could enable unfavorable changes.

None of this is investment advice. Always do your own research.

DIY research checklist (fast, practical)

• Verify the contract:
  • Match the address on BscScan.
  • Review token functions, ownership status, and any mint/burn/blacklist features.
• Holders and liquidity:
  • Check top holders and their percentages on BscScan.
  • Inspect liquidity pool size, lock status, and LP owner.
• Trading health:
  • Try a dust-size swap to test transferability and taxes.
  • Monitor slippage and front-running risk.
• Security hygiene:
  • Review and revoke risky approvals via Revoke.cash.
• Social and comms:
  • Look for official X/Telegram/Discord. Beware impersonators.
  • Ask for an audit, whitepaper, and roadmap. Lack of response is a signal.
• Narrative fit:
  • If pitched as AI compute, seek proof: GPU providers, workloads, benchmarks, partners, or testnets.

Who might care about AIGPU

• AI + crypto builders watching decentralized compute markets.
• Meme token traders scouting high-volatility small caps.
• On-chain analysts tracking AI narratives on BNB Chain.

If you’re in any of these camps, consider tracking on-chain activity, liquidity changes, and any future disclosures that clarify utility or team credibility.

Bottom line

AIGPU markets an enticing story—cheaper, more efficient decentralized GPU power for AI workloads—but today’s public footprint is thin. Until there’s a verifiable team, audit, and live utility, treat AIGPU as a high-risk, speculation-first token. Move slow, size small, and validate everything from the contract to the liquidity locks before you click “buy.”