We have open positions
Scalable & Ephemeral High-Performance
We provide temporary, massive-scale compute clusters for the most demanding data processing tasks. We execute your complex jobs, so you can focus on research and discovery without the overhead of maintaining idle infrastructure.
Technological essence
Cluster Vector is committed to executing singular, large-scale data processing jobs on demand. Using Apache Spark, Dask, and Ray, we provision and manage the exact infrastructure required for your task, and then tear it down, ensuring you only pay for the compute you use.
On-Demand Backtesting Clusters
Run years of high-resolution financial data through your most complex trading models in a fraction of the time. We provide optimized Spark clusters specifically for backtesting, delivering results without disrupting your live systems.
Feature Engineering at Scale
Leverage our deep compute pools to process raw, unstructured datasets into valuable predictive features. We handle the distributed ETL and transformation, providing a clean, model-ready dataset for your AI teams.
Simulation & Modeling Environments
Execute large-scale Monte Carlo simulations, risk modeling, or complex scientific computations. We provide the parallel processing backbone to tackle problems that are too large for a single machine or a standard cloud setup.
⚙️ Ephemeral Cluster Orchestration Our proprietary orchestration engine, built on Kubernetes, allows us to deploy and destroy multi-terabyte memory clusters in minutes. This ensures robust, isolated, and repeatable environments for every client job, guaranteeing performance and security from start to finish.
🧩 Complex Job Execution Frameworks We are experts in optimizing workloads for distributed frameworks like Apache Spark, Dask, and Ray. By fine-tuning execution graphs and memory management, we ensure your specific job runs with maximum efficiency, reducing both runtime and cost.
☁️ Multi-Cloud & Bare Metal Provisioning Our system seamlessly provisions resources across all major clouds (AWS, GCP, Azure) and even on bare metal servers for latency-critical tasks. This allows us to select the optimal hardware for your specific job, balancing cost, speed, and raw power.
Would you like to be a part of our team? Don't hesitate to reach out and introduce yourself. Together, we can achieve great things.
Don't be shy. Say hello.你好もしもし.hola.
team@clustervector.com
team@clustervector.com
Address
Miami, FL, US
