Ontdek ons laatste nieuws en onze artikelen

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.

Bedrijven in de EU zitten vast tussen het vertrouwen op Amerikaanse hyperscalers met blootstelling aan de CLOUD Act en de overstap naar volledig soevereine clouds die capaciteit opofferen en de kosten verhogen. De echte oplossing is het classificeren van gegevens en alleen het isoleren van de 20-30% waarvoor soevereiniteit vereist is. Een hybride model met door de klant bediende sleutels, nul uitgangen en S3-compatibele workflows biedt zowel soevereiniteit als innovatie tegen lagere kosten dan beide extreme

De meeste bedrijven hebben AI-automatiseringen of -agenten geïmplementeerd. Minder dan 10% heeft ze succesvol geschaald. De kloof zit niet in de capaciteit van agenten. Het is een opslaginfrastructuur die is gebouwd voor mensen.

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.

Al meer dan tien jaar draait de cloudarchitectuur om één aanname: data wordt overgezet naar computing. Enorme datapijplijnen hebben terabytes over clouds verspreid, van opslagemmers tot GPU-clusters en analyse-engines. Het model werkte wanneer de gegevens kleiner waren en de bandbreedte goedkoper was. Dat is niet meer het geval.

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.

This guide demonstrates how to seamlessly move datasets from the Hugging Face datasets library into Akave Cloud using Akave's S3-compatible gateway, and then run inference directly from Akave.

The sky is getting busier - more satellites, more debris, more transient events, and more eyes on the sky than ever before. SkyMapper is turning that complexity into a shared observatory. Hundreds of telescopes and all-sky cameras around the world now feed into a single, verifiable record of what the sky looked like at a given moment. Akave Cloud is the storage backbone that makes those observations provable instead of just plausible.

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.

Learn to connect Claude AI to Akave Cloud using the Model Context Protocol (MCP). Create buckets, upload files, and generate pre-signed URLs with natural language.

375ai, a decentralized edge data intelligence network, has integrated a technical pilot with Akave, an enterprise-grade, S3-compatible object storage solution purpose built for edge and AI. Akave provides 375ai with the data integrity guarantees, low latency, high performance, and significant cost savings.

Artificial intelligence is moving from laboratories into society at an accelerating pace. Language models write code and screen resumes; recommender systems shape public discourse; autonomous vehicles navigate city streets. With these advances come risks of bias, accidents and abuse. Policymakers worldwide are scrambling to establish rules that ensure AI is trustworthy, transparent and accountable. In 2025 two regulatory frameworks stand out: the European Union’s AI Act, the first comprehensive law governing AI systems, and California’s Transparency in Frontier AI Act (SB 53), the first U.S. state law directly regulating developers of large foundation models.

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.

Artificial intelligence has entered an era of industrial scale. Large models with hundreds of billions of parameters, trained across thousands of GPUs, are enabling breakthroughs in language, vision and science. Yet this success comes at a cost: electricity is now the limiting reagent for intelligence. Recent reporting has shown that AI data centres can consume as much power as a small city and that cooling these dense clusters of GPUs and TPUs is becoming a primary engineering challenge. When a single training run for a model like GPT‑3 consumes megawatt‑hours of electricity and high‑performance compute clusters require specialized cooling, it is clear that energy is no longer an afterthought, it is the bottleneck. Without reliable, affordable and low‑carbon power, compute sovereignty becomes impossible. This blog makes the case that energy sovereignty, control over the sources, resilience and sustainability of power, is now inseparable from compute sovereignty. We explore the technologies enabling this transition, from small modular reactors and fusion to microgrids, demand response and decentralized physical infrastructure networks (DePIN). We examine the geopolitical and environmental stakes of this transformation and offer actionable recommendations for policymakers and technologists.

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.

As AI and data workloads grow, CIOs must rethink what “cloud strategy” really means. This guide outlines five critical questions every enterprise should ask before renewing a cloud contract, covering data control, cost transparency, verifiability, AI readiness, and multi-cloud flexibility.

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.

As cloud infrastructure evolves, five major trends are reshaping how enterprises think about storage: sovereign edge deployments, verifiable audit logs, zero-trust security, AI-native orchestration, and sustainability by design. This blog explores how these shifts are redefining the role of storage—from passive capacity to active, programmable infrastructure—and highlights why future-ready platforms like Akave Cloud are well-positioned to lead in this new era.

At ETHGlobal New Delhi, Akave connected with builders across the Ethereum ecosystem through our booth, a technical talk on programmable storage, and the Akave O3 Build Challenge. We were proud to award P2P Federated Learning as the winner, an innovative project using Akave O3 for decentralized, privacy-preserving AI training.

At The AI Conference in San Francisco, Akave Cloud met with AI engineers, enterprise architects, and infra leads to discuss one pressing issue: storage infrastructure is falling behind AI innovation. From rising egress costs to lack of data lineage and verifiability, teams are struggling to manage and monetize data effectively.

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.

This fall, the Akave team is heading to San Francisco, New Delhi, and Singapore to connect with the builders, founders, and forward-thinkers shaping the future of AI and Web3. If you’re attending any of these events, we’d love to meet you and show you what we’re building with Akave Cloud, our programmable, verifiable storage layer for AI and data-intensive applications. Whether you're an enterprise looking to reduce storage costs, a builder shipping the next DePIN protocol, or a founder trying to bring real-world data onchain, we’d love to connect.

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.

Akave Cloud × Baselight transforms static datasets into live, queryable products. Instead of uploading files to fragmented marketplaces or relying on full downloads, providers list once and let buyers stream only the slices they need, directly from Akave’s verifiable storage. With programmable pricing, no egress fees, and onchain access control, this integration unlocks a new revenue model for AI teams, data vendors, and DePIN builders, where discovery, access, and monetization happen at the point of query.

Akave Cloud is a hosted, enterprise-grade storage layer that gives enterprises and builders a “just works” AWS-style experience with S3 compatibility, zero egress fees, verifiable storage, and policy-based programmability—without any infrastructure setup. It’s optimized for durability, availability, and cost savings of up to 80% versus hyperscalers, while the Akave Network provides the decentralized backend: an open protocol for storage, retrieval, and compute, powered by tokenized incentives and designed for sovereignty and scale. Connecting the two is Akave O3, the gateway that bridges familiar S3 APIs with Akave’s onchain infrastructure, with Akave Cloud serving as the first production subnet. Together, they deliver a full-stack solution—plug-and-play simplicity for enterprises and infrastructure sovereignty for builders and DePIN operators.

July and August marked another step forward in making decentralized storage enterprise-ready. We shipped deep upgrades across Akave O3 (S3 API), the protocol layer (akavenode + SDK), and smart contracts. Tightening security and compliance, increasing throughput, and smoothing operator workflows. Below, we break down everything that’s new, enhanced, and future-proofed across recent versions.

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.

The EU AI Act sets strict standards for transparency, provenance, and lawful data use across AI supply chains. Traditional storage falls short, relying on vendor-controlled logs that lack independent verification.

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.

DePIN shifts data infra to decentralized networks (Akave, Filecoin), for verifiable AI-ready storage/compute that scales via community-owned hardware.

June was all about deepening our enterprise integrations and pushing the boundaries of performance in both our object storage API and protocol layers. The Akave engineering team delivered critical upgrades that tighten S3 compatibility, extend Snowflake interoperability, and dramatically increase blockchain throughput; without compromising the core principles of verifiability, resilience, and decentralized control. Below, we break down the highlights from our June release cycle across Akave O3 and the core protocol stack.

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.