Enterprise-focused infrastructure provider Argentum AI is positioning itself to close the compliance and transparency shortcomings currently holding back the $14.6 billion decentralized computing (“DePIN”) market.
Key takeaways
- The DePIN compute market is estimated to be worth US$14.6 billion, yet adoption by enterprise buyers is hampered by a US$5-10 billion gap caused by a lack of auditable SLAs and hardware certifications.
- While some network providers offer high-end GPUs for $1-$2 per hour, major cloud providers still charge $10-$12 per hour for similar hardware, creating a significant cost offset.
- Argentum AI was featured in a recent industry report as one of the few early entrants that relies on enterprise-level standards: territory stabilization, audited execution, predictable billing, and secure contracts.
- The best-suited use cases for decentralized GPU networks today are pushable AI workloads such as fine-tuning, inference, and offline rendering. Ultra-low latency interactive workloads still favor centralized cloud providers.
What happened?
new Report issued by Solus Partnersin partnership with researchers at DePIN, were analyzed 423 protocols Across the decentralized physical infrastructure network sector. The computing sector has emerged as one of the fastest growing yet most challenging sectors due to institutional readiness. In light of this evolving landscape, Silver AI It stands out as an emerging player offering an infrastructure and market designed for compliance-first deployments.
Search: DePIN Account (November 2025)
Key findings:
▫️ DePIN growth is real (annual fees are around 5x) but concentrated in a few networks (Aethir, Ionet, Helium)
▫️ Top 3 protocols according to comparative results: @Adaethircloud (leader), @ionet (He watches), @Argentum_AI (early viewing)
▫️… pic.twitter.com/4vlpqaDBer— DARC from Solus Group (@solus_partners) November 19, 2025
The report shows that DePIN has seen real growth with A five-fold increase year-on-year in fee revenues. However, he stresses that many projects lack the necessary infrastructure Enterprise trustespecially around Remote performance measurement, Contract enforcementand Regulatory compliance.
Context and market snapshot
Demand for AI computing is rising sharply, but access to high-end GPUs remains restricted. The decentralized market exploits cost arbitrage by pooling unused GPU resources globally.
- Providers like He goes and Akash existing NVIDIA H100 GPUs For approx $1.25 to $1.40 per hourcompared to up to $12 per hour On traditional cloud services.
- However, the display quality varies greatly. Some networks rely on GPUs for enterprise-level data centerswhile others include Consumer appliancesWhich affects reliability.
- Major adoption contraindications include: Absence of SLA dashboards, TEE CERTIFICATION LIMITEDand Lack of data residency controls. Export regulations and GDPR rules also require workload location enforcement.
- The report estimates a Total Addressable Market (TAM) to $80 to $150 billion by 2027highlighting the potential upside if these infrastructure gaps are resolved.
How is Argentum AI positioning itself?
Silver AI It directly addresses these institutional barriers through combination Ensure compliance together Flexible computing market
- A. offers Decentralized GPU Auction Platformallowing companies Secure computing power Across globally verified devices.
- Scheme Overall performance panel and Benchmarking system It will allow users to evaluate the node’s reliability and execution quality.
- Focus on Reusing second generation GPUs and Availability of multiple regionsArgentum AI targets underutilized enterprise resources.
- The company confirms Billing is predictable, On-chain audit logsand Data processing agreements That meets GDPR and export control laws.
Why is this important?
Huge cost savings It is the main motivation. Reducing GPU costs from $12 to $1.25 per hour can save the difference Thousands per monthEspecially in typical training. but The cost is only one part From the equation. For institutions, Compliance, auditability and regional oversight It matters more
- If Argentum AI can deliver its promised features, it could appeal to a wide range of people Regulated companies, Artificial intelligence research laboratoriesand Infrastructure providers.
- This could shift the decentralized computing market from the original cryptocurrency developers to Mainstream AI workloadsavailable Performance statements and service warranties It is published.
- The company can also play a role in absorption Idle computing resourcesespecially Older GPUs Which remains powerful but underutilized.
Remaining risks and challenges
Despite its advantages, Silver AI He faces major obstacles:
- Implementation risks: Creating an auditable, cross-jurisdictional GPU market is complex and requires verifiable metrics.
- a race: Other networks such as He goes, io.netand Akash It also invests in compliance and transparency. Argentum should differentiate in confidence and results.
- Workload limitations: Current DePIN platforms are still the most suitable Batch conclusion and Offline training. Real-time AI and interactive workloads It remains a challenge for networks to be able to guarantee low latency.
Takeaway CoinLaw
In my experience, the biggest reason companies hesitate to adopt decentralized infrastructure isn’t the price; Trust. without Verifiable SLAs, Hardware certification, Control the areaand Audited recordsIt is impossible for a regulated company to move sensitive workloads to these networks.
What caught my attention about Argentum AI is that they don’t sell hype. they Build to complyfocusing on the things that really matter to IT managers and legal teams. I found this refreshing. If they can implement and prove reliability at scale, Argentum could become a serious contender in AI infrastructure space.
But they have to move quickly. The opportunity to build confidence in this market is narrow, and performance data will make or break it.
