
JS7 JobScheduler, an Open Source Workload Automation System, is designed for performance and resilience. JS7 implements state-of-the-art security standards. It offers unlimited performance for parallel executions of jobs and workflows.
JS7 provides cross-platform job execution and managed file transfer. It supports complex dependencies without the need for coding. The JS7 REST-API allows automation of inventory management and job control.
JS7 can operate thousands of Agents across any platform in parallel.
Platforms
- Cloud scheduling for Docker®, OpenShift®, Kubernetes® etc.
- True multi-platform scheduling on premises, for Windows®, Linux®, AIX®, Solaris®, macOS® etc.
- Hybrid cloud and on-premises use
User Interface
- Modern GUI with no-code approach for inventory management, monitoring, and control using web browsers
- Near-real-time information provides immediate visibility to status changes, log outputs of jobs and workflows.
- Multi-client functionality, role-based access management
- OIDC authentication and LDAP integration
High Availability
- Redundancy & Resilience based on asynchronous design and autonomous Agents
- Clustering of all JS7 Products, automatic fail-over and manual switch-over
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Runpod provides a cloud infrastructure that enables seamless deployment and scaling of AI workloads with GPU-powered pods. By offering access to a wide array of NVIDIA GPUs, such as the A100 and H100, Runpod supports training and deploying machine learning models with minimal latency and high performance. The platform emphasizes ease of use, allowing users to spin up pods in seconds and scale them dynamically to meet demand. With features like autoscaling, real-time analytics, and serverless scaling, Runpod is an ideal solution for startups, academic institutions, and enterprises seeking a flexible, powerful, and affordable platform for AI development and inference.
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Aspen GeoDepth
The process of advanced velocity determination combined with 3D and 2D velocity model construction results in precise and high-quality seismic images that are interpretable in both time and depth. An extensive range of interactive and batch tools for analyzing anisotropic models effectively addresses a wide array of seismic imaging challenges. By integrating interpretation and modeling solutions, the workflow is optimized, minimizing data loss while adhering to geological constraints. The construction of accurate 3D and 2D models is straightforward, making it feasible regardless of the complexity of the underlying structural geology. Furthermore, the system is designed to operate efficiently with highly parallelized capabilities, accommodating extensive 3D datasets and multi-line 2D datasets, whether on-premises or in cloud environments. Accurate seismic images and reliable depth models play a critical role in hydrocarbon exploration and production efforts. The Aspen GeoDepth velocity determination and modeling system provides an effective means for enhancing seismic imaging, facilitating the integration of various processes such as interpretation, velocity analysis, model construction, and time-to-depth conversion, ultimately leading to better decision-making in exploration projects. This comprehensive approach not only improves the quality of the seismic data but also supports more informed resource management strategies.
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GeoStreamer
The Multisensor GeoStreamer serves as an exceptional solution for achieving broadband imaging. By employing deep towing techniques, it effectively mitigates the influence of weather conditions, thereby enhancing the efficiency of data acquisition. The signals captured are largely unaffected by fluctuations in towing depth or variations at the sea surface, which significantly minimizes non-repeatable noise during reservoir monitoring endeavors. Additionally, the pre-stack amplitude and phase maintain consistency in relation to both angle and frequency. Its robust low-frequency signal greatly facilitates Full Waveform Inversion (FWI), thereby boosting the precision of predicting subsurface properties. The separation of multisensor wavefields allows for improved illumination of shallow structures. Moreover, near-surface images that are not influenced by the acquisition footprint can be utilized for independent interpretation. The enhanced broadband resolution of stratigraphy aids in detecting minor time shifts associated with changes in reservoir saturation and pressure, which is crucial for monitoring projects. Furthermore, GeoStreamer incorporates both hydrophones and velocity sensors to effectively eliminate all free-surface ghost reflections, further enhancing data quality and reliability. This innovative approach ensures that the information gathered is not only accurate but also highly valuable for informed decision-making in resource management.
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