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Speedata Secures First European Cloud Deployment for Its Analytics Processing Unit With Nebul Partnership

Speedata Secures First European Cloud Deployment for Its Analytics Processing Unit With Nebul Partnership

New updates have been reported about Speedata.

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Speedata has signed a strategic agreement with European sovereign cloud provider Nebul to make its Analytics Processing Unit, or APU, commercially available in a European cloud environment for the first time. Under the deal, Nebul will deploy Speedata’s APU across its EU-based data centers, targeting enterprises that need to accelerate Apache Spark analytics and AI data processing while keeping all data under European legal jurisdiction.

The partnership positions Speedata at the center of Europe’s surge in demand for AI compute, with AI data center capacity in the region having tripled in 2025 and Neocloud providers under pressure to scale efficiently. By offloading big data and advanced analytics workloads from CPUs and GPUs onto Speedata’s ASIC-based APU, Nebul’s customers are expected to gain material performance improvements, lower total cost of ownership for Spark workloads, and improved energy efficiency, while adhering to strict sovereignty and governance requirements.

Speedata’s APU is designed specifically for data-heavy workloads: it executes Apache Spark SQL operations directly in silicon, including complex joins, aggregations, and transformations, addressing the data layer bottleneck that constrains traditional architectures. The company reports benchmark gains of up to 100x versus CPU and GPU-based approaches, and cites a production AI data preprocessing deployment where 38 servers were replaced by 3 APU-enabled servers, cutting infrastructure costs by more than 90 percent.

Beyond batch ETL and standard analytics, Speedata is targeting AI-centric use cases such as large-scale data preparation, cleaning, and real-time query-oriented RAG and TAG (Table Oriented Generation), extending high-performance structured data access to large language models. Integrating the APU into Nebul’s renewable-powered, European-owned infrastructure is intended to give enterprises a sovereign alternative to U.S.-led hyperscale clouds, which often raise jurisdictional and regulatory concerns for sensitive data.

Nebul has been designated a preferred Speedata partner and will offer the APU as a core component of its Data Platform, alongside existing GPU-based AI infrastructure. The initial commercial focus is EMEA enterprises in sectors where analytics speed and data governance are mission-critical, such as regulated industries and public sector workloads, suggesting a near-term revenue opportunity for Speedata in compliance-driven and performance-sensitive segments.

Speedata’s CEO, Adi Gelvan, framed the partnership as a way to reset the economics of advanced analytics at scale, stressing that the company can materially reduce infrastructure and operational costs for European customers that must keep data under EU governance. Nebul’s CEO, Arnold Juffer, underscored that customers increasingly view sovereignty as an operational requirement rather than a compliance slogan, and with Speedata’s APU, Nebul can now combine strict ownership and jurisdictional control with high-performance data processing.

For Speedata, this agreement represents a strategic foothold in the rapidly growing European AI infrastructure market, where sovereign cloud is emerging as a structural counterweight to global hyperscalers. The deployment with Nebul validates the APU as a commercially viable accelerator for Spark-centric big data and AI workloads and could catalyze further partnerships with other regional cloud providers seeking differentiated performance and sovereignty credentials.

If adoption scales across Nebul’s client base, Speedata stands to benefit from recurring cloud-based usage, broader visibility among European enterprises, and expanded applicability of its APU in AI-driven analytics pipelines. Over the medium term, the company’s growth trajectory in Europe will hinge on demonstrated cost and performance gains in production deployments, competitive responses from CPU and GPU vendors, and the evolution of EU regulatory frameworks that favor sovereign, high-performance data infrastructure.

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