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Description
NVIDIA Run:ai is a cutting-edge platform that streamlines AI workload orchestration and GPU resource management to accelerate AI development and deployment at scale. It dynamically pools GPU resources across hybrid clouds, private data centers, and public clouds to optimize compute efficiency and workload capacity. The solution offers unified AI infrastructure management with centralized control and policy-driven governance, enabling enterprises to maximize GPU utilization while reducing operational costs. Designed with an API-first architecture, Run:ai integrates seamlessly with popular AI frameworks and tools, providing flexible deployment options from on-premises to multi-cloud environments. Its open-source KAI Scheduler offers developers simple and flexible Kubernetes scheduling capabilities. Customers benefit from accelerated AI training and inference with reduced bottlenecks, leading to faster innovation cycles. Run:ai is trusted by organizations seeking to scale AI initiatives efficiently while maintaining full visibility and control. This platform empowers teams to transform resource management into a strategic advantage with zero manual effort.
Description
Zymtrace is an advanced platform for continuous profiling and observability that enables engineers to enhance the performance of contemporary computing workloads running on both CPUs and GPUs. It offers profound insights into system-level operations, revealing how applications, AI models, and infrastructure utilize computing resources, which empowers developers to pinpoint inefficiencies and performance obstacles without needing to alter their code or restart their systems. Utilizing eBPF-based profiling technology, zymtrace gathers performance data throughout the entire execution stack, ranging from high-level application code and runtime libraries to the Linux kernel and GPU instructions, thus facilitating a comprehensive analysis of diverse workloads. Furthermore, it effectively correlates GPU activities with the associated CPU code paths that initiate them, addressing a significant limitation of traditional observability tools that often regard GPUs as opaque entities, providing only superficial metrics. By bridging this gap, zymtrace enhances the overall understanding of performance dynamics in complex systems, ultimately guiding more informed optimization strategies.
API Access
Has API
API Access
Has API
Integrations
.NET
Amazon S3
C++
Docker
Go
HPE Ezmeral
Java
Kubernetes
NVIDIA DRIVE
Node.js
Integrations
.NET
Amazon S3
C++
Docker
Go
HPE Ezmeral
Java
Kubernetes
NVIDIA DRIVE
Node.js
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
NVIDIA
Founded
1993
Country
United States
Website
www.nvidia.com/en-us/software/run-ai/
Vendor Details
Company Name
zymtrace
Founded
2024
Country
United States
Website
zymtrace.com
Product Features
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization
Virtualization
Archiving & Retention
Capacity Monitoring
Data Mobility
Desktop Virtualization
Disaster Recovery
Namespace Management
Performance Management
Version Control
Virtual Machine Monitoring
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)