Opslag in de cloud

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

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.

Je hebt een FinOps-platform geïmplementeerd. Je bronnen getagd. Voer wekelijkse kostenbeoordelingen uit. En 32% van je clouduitgaven wordt nog steeds verspild. Uit de State of the Cloud-enquête van Flexera in 2022 onder meer dan 750 bedrijven bleek dat dit het gemiddelde is. En het stijgt: 30% in 2021, 32% in 2022. Het probleem is niet de inspanning, maar wat je optimaliseert.

Uw juridische team vraagt om een bewijs van de oorsprong van de trainingsgegevens. Je haalt CloudTrail-logboeken op. De raadsman van de tegenpartij vraagt: „Kan AWS deze logboeken wijzigen?” Het antwoord is ja. De vraag is of dat belangrijk is, en in toenemende mate ook.

Uw reservekopietaak is met succes voltooid. Je auditor maakt het niet uit. 58% van de gegevensback-ups mislukt tijdens daadwerkelijke herstelpogingen. 40% van de cyberverzekeringsclaims die in 2024 werden ingediend, werd afgewezen. Niet omdat de aanvallen niet echt waren. Niet omdat de schade niet werd gedekt. Omdat bedrijven niet konden bewijzen dat hun back-ups echt werken.

Verplaats je gegevens naar Frankfurt. Nog steeds onderworpen aan de Amerikaanse wetgeving. Ga over naar OVHcloud. Nog steeds onderworpen aan de Franse wet. Het debat over gegevenssoevereiniteit heeft de verkeerde vraag gesteld. Iedereen maakt ruzie over waar data zich bevindt. De echte vraag is wie de voogdij heeft.

In november zijn O3 en de Akave-protocolstack veranderd in iets dat je op grote schaal als primaire opslag kunt beschouwen. We hebben drie O3-releases verzonden (v1.4.0, v1.4.1, v1.4.2) en de protocollijn doorgeschakeld naar 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.

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.

AWS S3 is the long-standing leader in object storage, but its opaque pricing, high egress fees, and centralized control make it increasingly ill-suited for modern, AI-driven enterprises. Akave Cloud offers a next-generation alternative: fully S3-compatible, but built for transparency, decentralization, and verifiable governance. With flat-rate pricing, onchain auditability, and integrations for AI and analytics workloads, Akave Cloud enables enterprises to own, move, and monetize their data, without lock-in.

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.

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 ontsluit gedecentraliseerde data op grote schaal: verifieerbaar, onveranderlijk en programmeerbaar. Nu live op Avalanche L1 voor AI-bouwers, bedrijven en betrouwbare systemen.

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