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Description
Fuzzball propels innovation among researchers and scientists by removing the complexities associated with infrastructure setup and management. It enhances the design and execution of high-performance computing (HPC) workloads, making the process more efficient. Featuring an intuitive graphical user interface, users can easily design, modify, and run HPC jobs. Additionally, it offers extensive control and automation of all HPC operations through a command-line interface. With automated data handling and comprehensive compliance logs, users can ensure secure data management. Fuzzball seamlessly integrates with GPUs and offers storage solutions both on-premises and in the cloud. Its human-readable, portable workflow files can be executed across various environments. CIQ’s Fuzzball redefines traditional HPC by implementing an API-first, container-optimized architecture. Operating on Kubernetes, it guarantees the security, performance, stability, and convenience that modern software and infrastructure demand. Furthermore, Fuzzball not only abstracts the underlying infrastructure but also automates the orchestration of intricate workflows, fostering improved efficiency and collaboration among teams. This innovative approach ultimately transforms how researchers and scientists tackle computational challenges.
Description
The NVIDIA HPC Software Development Kit (SDK) offers a comprehensive suite of reliable compilers, libraries, and software tools that are crucial for enhancing developer efficiency as well as the performance and adaptability of HPC applications. This SDK includes C, C++, and Fortran compilers that facilitate GPU acceleration for HPC modeling and simulation applications through standard C++ and Fortran, as well as OpenACC® directives and CUDA®. Additionally, GPU-accelerated mathematical libraries boost the efficiency of widely used HPC algorithms, while optimized communication libraries support standards-based multi-GPU and scalable systems programming. The inclusion of performance profiling and debugging tools streamlines the process of porting and optimizing HPC applications, and containerization tools ensure straightforward deployment whether on-premises or in cloud environments. Furthermore, with compatibility for NVIDIA GPUs and various CPU architectures like Arm, OpenPOWER, or x86-64 running on Linux, the HPC SDK equips developers with all the necessary resources to create high-performance GPU-accelerated HPC applications effectively. Ultimately, this robust toolkit is indispensable for anyone looking to push the boundaries of high-performance computing.
API Access
Has API
API Access
Has API
Integrations
AWS Marketplace
Azure Marketplace
Domino Enterprise MLOps Platform
Jupyter Notebook
Kubernetes
MATLAB
PyTorch
R-Studio
TensorFlow
YAML
Integrations
AWS Marketplace
Azure Marketplace
Domino Enterprise MLOps Platform
Jupyter Notebook
Kubernetes
MATLAB
PyTorch
R-Studio
TensorFlow
YAML
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
CIQ
Founded
2020
Country
United States
Website
ciq.com/products/fuzzball/
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
developer.nvidia.com/hpc-sdk