Cloud Storage

Snowflake external stages with Akave generate blockchain-anchored jurisdiction receipts—tamper-evident, independently verifiable evidence auditors can query without trusting vendor logs.

Azure egress fees start at $0.087/GB. GCP starts at $0.12/GB. Both providers charge 5–6x more to move data than to store it. This comparison covers real workload costs across three scenarios: AI analytics pipelines, backup restore testing, and enterprise data operations, with side-by-side numbers for Azure Blob Storage, Google Cloud Storage, and Akave Cloud's zero-egress fees flat-rate model at 100 TB, 1 PB, and 10 PB scale.

As Intuizi's data lake grew to multi-petabyte scale, query costs rose and metadata management became a bottleneck. The solution: Snowflake for analytics, Akave Cloud for Iceberg-optimized storage. The result was a modern lakehouse architecture with 50% lower costs, 60% faster turnaround, and no pipeline rearchitecture required.

S3 Object Lock prevents accidental deletion. It doesn't prove backup integrity to auditors. Blockchain-anchored verification for Snowflake external stages delivers continuous, cryptographic proof for NIS2/DORA/SEC compliance.

Akash Network integrates with Akave to deliver sovereign AI infrastructure, decentralized GPU compute at 70% lower cost, S3-compatible storage with zero egress fees, and onchain verification for every artifact.

Store data in Iceberg format on S3. Query with Snowflake today. Retain ability to query with Spark or Trino tomorrow. Architects want multi-engine access - Snowflake for BI, Spark for ETL, Trino for ad-hoc queries. Same data. Different engines. No vendor dependence Apache Iceberg gives Snowflake users the ability to store data in external object storage - theoretically achieving vendor independence. But storing Iceberg tables on Azure Blob or Google Cloud still generates egress fees ($0.087–$0.12/GB) every time Snowflake queries that external data. Akave Cloud provides S3-compatible external storage at $14.99/TiB with $0 egress, making Snowflake + Iceberg vendor independence financially viable rather than cost-neutral

Snowflake Cortex training costs can rise when datasets repeatedly move between Snowflake and external storage during feature prep, checkpointing, validation, and retraining. You reduce avoidable movement by using an external stage architecture where training data is read from a controlled object-store layer and movement paths are explicitly governed, monitored, and minimized.

GPT-4o's price dropped 83% in 16 months. According to Menlo Ventures' 2025 LLM Market Update, OpenAI's enterprise market share fell from over 50% to 25%, with Anthropic now leading at 32%. The model wars produced a clear winner: commoditization itself. GPT-5.1, Claude Opus 4.5, Llama 4 Maverick, Gemini 2.0. Comparable capabilities, converging benchmarks, aggressive pricing.

You deployed a FinOps platform. Tagged your resources. Run weekly cost reviews. And 32% of your cloud spend is still wasted. Flexera's 2022 State of the Cloud survey of 750+ businesses found that's the average. And it's rising: 30% in 2021, 32% in 2022. The problem isn't effort, it's what you're optimizing. Cloud cost optimisation typically targets storage rates - but for active workloads, storage accounts for only 30% of the total bill. Egress accounts for the remaining 70%. Azure charges $0.087/GB for egress - 4.8× its storage rate. Google Cloud charges $0.12/GB - 6× its storage rate. FinOps tools classify both as 'data transfer out': legitimate spend, not waste. The cost is real, but the inefficiency is structural - and only a zero-egress architecture eliminates it entirely.

Your legal team asks for proof of training data origin. You pull CloudTrail logs. Opposing counsel asks: "Can AWS modify these logs?" The answer is yes. The question is whether that matters—and increasingly, it does.

Your backup job completed successfully. Your auditor doesn't care. 58% of data backups fail during actual recovery attempts. 40% of cyber insurance claims filed in 2024 got rejected. Not because the attacks weren't real. Not because the damages weren't covered. Because businesses couldn't prove their backups actually work.

Move your data to Frankfurt. Still subject to US law. Move to OVHcloud. Still subject to French law. The data sovereignty debate has been asking the wrong question. Everyone's arguing about where data sits. The real question is who has custody.

November turned O3 and the Akave protocol stack into something you can treat as primary storage at scale. We shipped three O3 releases (v1.4.0, v1.4.1, v1.4.2) and advanced the protocol line to Akave v0.4.0 / v0.4.1.

October pushed O3 deeper into enterprise territory. We shipped two releases, O3 v1.3.0 and the AkaveSDK v0.3.1 (protocol) adding full cache-management, kernel-accelerated file paths, AWS-accurate pagination, hardened metadata encryption, and a CLI-based ACME flow for bucket certificates.

In this short demo, we will walk you through how to connect Akave Cloud to CloudMounter, a desktop app that lets you mount cloud storage as a local drive on your computer.

This guide walks through how to connect your existing Snowflake account to an Akave Cloud instance, a more cost-efficient, verifiable, and open alternative to AWS S3.

The integration provides a quick way to move or sync your data from major cloud providers (AWS, GCP, Azure) into Akave’s verifiable, decentralized, and cost-efficient object storage.

MinIO’s recent move to source-only distribution and feature gating has left teams scrambling for alternatives. Akave O3 offers a stable, S3-compatible solution with signed builds, enterprise-grade governance, and zero egress pricing,giving teams a future-proof path without the lock-in or surprise tradeoffs.

September was a shipping month. We landed three O3 releases (v1.2.0, v1.2.1, v1.3.0), pushed key protocol changes toward verifiable, repairable data at scale with PDP integration, and moved our O3 Trustless GUI (“Prickly Pear”) from wireframes into a working app. Here’s the full rundown

A case study of the October 20, 2025 Amazon Web Services outage in US‑EAST‑1. This analysis looks at what caused the disruption, which services were affected, and why a single provider’s failure ripples across the globe. It also explores the implications for cloud resilience, digital sovereignty and the future of decentralised infrastructure.

By 2026, enterprise cloud strategy is shifting from monolithic stacks to composable infrastructure—modular, interoperable systems built on open standards. Instead of being locked into a single vendor, companies combine specialized tools like Snowflake for analytics, Apache Iceberg for open data formats, and Akave Cloud for verifiable storage.

The five cloud storage trends defining enterprise infrastructure in 2026 are: (1) zero-egress architectures eliminating the 4.8–6× cost penalty of moving data; (2) verifiable data provenance mandated by the EU AI Act for high-risk AI systems; (3) AI-native storage optimised for model training and agentic pipelines; (4) European data sovereignty driven by CLOUD Act legal exposure; and (5) DePIN networks achieving enterprise-grade cryptographic durability without hyperscaler dependency. Akave Cloud is built around all five.

AWS S3 and Akave Cloud both offer S3-compatible object storage - meaning any application built for AWS S3 works with Akave Cloud without code changes. The critical difference: AWS charges approximately $0.09/GB in egress fees (verify at aws.amazon.com/s3/pricing). Akave Cloud charges $0 under its flat-rate $14.99/TiB model. For a 50TB workload with 20TB monthly egress, that's a difference of $22,792/year in data movement charges alone

Most enterprise data remains underutilized, trapped in silos, weighed down by egress fees, and unfit for real-time AI workflows. Akave Cloud is a programmable, verifiable object storage layer built to change that. With S3 compatibility, zero egress fees, and onchain auditability, it helps enterprises unlock proprietary data, support AI-scale performance, and monetize datasets via emerging data marketplaces like Baselight. From synthetic data storage to regulatory readiness, Akave Cloud provides the foundation for data ownership at scale, turning compliance cost centers into revenue-generating assets.

Akave O3 provides enterprises and institutions with GDPR-compliant cloud storage that combines S3 compatibility, immutable audit trails, encryption, and policy-based governance. Designed for regulated industries, O3 enables organizations to meet GDPR, HIPAA, SOC 2, and ISO 27001 requirements with verifiable provenance and zero egress fees. By embedding governance into the storage layer—covering access control, retention, classification, and auditability—Akave O3 helps data leaders transform compliance from a burden into a competitive advantage.

TL;DR Centralized AI cloud creates three predictable problems; exponential cost, vendor lock-in, and compliance risk. Akave Cloud × Heurist solves this by combining verifiable, S3-compatible storage with decentralized compute and ZK-native micropayments. The result: resilient, sovereign infrastructure that preserves provenance, reduces costs, and powers the agentic AI economy, where autonomous agents can store, share, and transact data with cryptographic guarantees.

The Defiant is securing its archives with Akave Cloud + Filecoin, making every article immutable, verifiable, and tamper-proof. Content is encrypted, content-addressed, and backed by decentralized storage for long-term durability. This sets a new standard for trustworthy journalism with onchain audit trails and S3 compatibility.

Enterprise data architecture is undergoing fundamental transformation. The convergence of explosive data growth, escalating storage costs, and increasing demands for infrastructure flexibility is exposing critical weaknesses in traditional cloud storage models. While Snowflake has emerged as the dominant enterprise data platform, powering sophisticated analytics, AI capabilities, and machine learning workflows, organizations still struggle with the fundamental storage layer beneath it.

Egress fees are per-GB charges that cloud providers levy when data exits their network. Azure charges $0.087/GB - 4.8× more than its $0.018/GB storage rate. Google Cloud charges $0.12/GB for the first 1TB - 6× its storage rate. For a workload storing 50TB and moving 20TB/month, egress adds $1,731/month on Azure and $1,926/month on Google Cloud - costs that don't exist on Akave Cloud's zero-egress flat-rate model ($14.99/TiB)

In the era of data breaches, deepfakes, ransomware, and sophisticated supply chain attacks, verifying the integrity and origin of data has never been more critical. Akave is proud to introduce a next-generation content identification paradigm: the eCID.

From April to July, we didn’t just ship product, we laid the architecture for a new kind of internet. One where data is sovereign, verifiable, and programmable. At Akave, our mission is simple: to enable a world where all assets live on‑chain and humanity’s advancement is accelerated by the power of data. Our vision is a future where every transaction is verifiable, transparent, and built on sovereign infrastructure, unlocking innovation across AI and beyond. This past quarter, that vision moved from blueprint to reality.

The explosion of AI workloads and decentralized computing has highlighted the need for large-scale, verifiable data architectures. Rising to this demand, Akave Cloud delivers a decentralized storage layer with everything teams need to store, manage, and access data at scale: S3 compatibility, onchain access control, and verifiable storage, backed by the Filecoin network.

Akave unlocks decentralized data at scale—verifiable, immutable, and programmable. Now live on Avalanche L1 for AI builders, businesses & trustless systems.

Akave Cloud launches as the first Avalanche L1-based storage platform—offering S3 compatibility, onchain control, and verifiable, sovereign data access.