Theseus
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About
Theseus is a high-performance GPU-accelerated SQL query engine designed for petabyte-scale data processing. It offers significant performance improvements (90x) and cost savings (100x) compared to traditional CPU-based systems. Theseus is designed to work with data in the Arrow memory format and supports various data sources and programming languages. It is deployable on-premise or in the cloud (Kubernetes required) and is well-suited for large-scale ETL processes, machine learning, and GenAI data preprocessing tasks.
Platform
Task
Features
• deploy anywhere (on-premise or cloud with kubernetes support)
• maximize gpu utilization
• accelerated data analytics on gpus
• 100x cost savings
• 100x decrease in server count
• 90x performance increase
• petabyte-scale data processing
• fastest gpu query engine
FAQs
Where can I deploy Theseus?
Anywhere that supports Kubernetes. Theseus can be deployed on-premise or in the cloud where Kubernetes is supported.
Do I need to move my data to Theseus?
Theseus is not a database. Theseus doesn’t store data. Theseus works with data in the Arrow memory format – so long as your data speaks Arrow, Theseus can operate on it wherever it is.
When does Theseus provide differentiated value?
Theseus delivers exceptional value for queries exceeding 30TB.
What programming languages does Theseus support?
If your team likes Python, they can leverage Ibis, a popular data frame library that supports over 20 different engines (including Theseus). If your team likes SQL, Theseus can support a myriad of different dialects, from PostgreSQL to Standard SQL (function support notwithstanding) via Ibis.
Can I port over my Spark jobs?
If you wrote your Spark jobs in Ibis (which supports Spark), then yes; otherwise, not yet.
Aren’t GPUs expensive?
On the largest queries, it’s expensive not to run on GPUs. As our benchmark report demonstrates, the costs for incredibly large queries quickly balloon out of control. Queries on GPUs can dramatically reduce costs. Moreover, the initial investment in GPUs for AI/ML use cases, where GPUs are often underutilized, can be repurposed for analytics.
What GPUs do you support?
We support all NVIDIA data center class GPUs from Volta onwards. The more HBM on the GPU, the better.
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