List of Yandex YaFSDP Customers
Moscow, 119021,
Russia
Since 2010, our global team of researchers has been studying Yandex YaFSDP customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Yandex YaFSDP for Open-Source Database from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Yandex YaFSDP for Open-Source Database include: Yandex, a Russia based Communications organisation with 10000 employees and revenues of $13.70 billion, Yandex, a Russia based Professional Services organisation with 28992 employees and revenues of $7.46 billion and many others.
Contact us if you need a completed and verified list of companies using Yandex YaFSDP, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Yandex | Communications | 10000 | $13.7B | Russia | Yandex Cloud | Yandex YaFSDP | Open-Source Database | 2024 | n/a |
In 2024, Yandex deployed Yandex YaFSDP, an Open-Source Database, to accelerate AI/ML training workflows for YandexGPT 3. The library was developed during YandexGPT 3 development and was open-sourced in June 2024, positioning Yandex YaFSDP as a data infrastructure component for large-scale model training in Russia. Public descriptions and the open-source release indicate its primary focus on supporting LLM pre-training and fine-tuning workflows, a usage pattern inferred from Yandex's announcement.
Yandex YaFSDP was implemented to provide high-throughput data feeding and dataset sharding alongside metadata management tailored to large-batch neural model training. Configuration and runtime behavior were oriented to reduce I/O bottlenecks and sustain continuous GPU utilization, consistent with Open-Source Database capabilities used in AI training pipelines. The implementation emphasized scalable dataset partitioning, efficient serialization and caching mechanisms, and orchestration hooks for integration with model training loops.
Operational scope centered on Yandex's AI/ML training teams working on YandexGPT 3 within Russia, where the library was used to accelerate pre-training runs. Yandex reported iteration speedups up to ~26% and GPU savings around 20% during YandexGPT 3 development, outcomes disclosed alongside the June 2024 open-source release. Governance for the component was handled through open-source publication and internal integration into existing training workflows, aligning the Yandex YaFSDP codebase with the company's model development lifecycle.
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Yandex | Professional Services | 28992 | $7.5B | Russia | Yandex Cloud | Yandex YaFSDP | Open-Source Database | 2024 | n/a |
In 2024, Yandex developed and deployed Yandex YaFSDP to accelerate large language model training. Yandex YaFSDP is an Open-Source Database applied to machine learning and model training, with a specific focus on improving GPU utilization for pre-training and fine-tuning workflows.
Yandex Research engineered the deployment within Yandex Cloud infrastructure in Russia, integrating the application with the organization’s GPU compute provisioning for large-scale model training. The implementation emphasized distributed training orchestration and resource scheduling to optimize GPU utilization across training jobs. Functional capabilities implemented included runtime scheduling, memory management and tensor placement optimizations to increase throughput for transformer-style pre-training and fine-tuning tasks.
Operational scope centered on Yandex Research and ML engineering teams in Russia, targeting both pre-training and fine-tuning business functions within the model training process area. The solution was integrated into existing model training pipelines and distributed data pipelines to streamline training orchestration and GPU resource allocation.
Yandex released Yandex YaFSDP as open-source in June 2024, and published benchmarks reporting up to ~26% speedup and up to ~20% GPU resource savings, driving measurable time and cost reductions for large-scale model training. The Yandex YaFSDP Open-Source Database therefore functions as an infrastructure-level optimization for machine learning and model training, enabling improved GPU efficiency in pre-training and fine-tuning workflows.
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