Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
ACRA serves as a robust platform designed for the secure execution and management of sensitive applications and AI workloads. By utilizing virtual enclaves along with policy controls, it effectively oversees workload identity, access, network boundaries, secrets, and audit visibility. Teams can implement ACRA on Kubernetes infrastructure, whether in public or private cloud environments, on-premises, or in air-gapped settings, allowing for the management of protected workloads via a unified control plane. This platform is tailored for both enterprise and government teams that deal with sensitive or regulated data, making it ideal for defense and critical infrastructure applications. ACRA's capabilities extend to running containerized applications, AI inference, and various other workloads that necessitate controlled execution. Administrators are empowered to specify which workloads can communicate and access secured resources, while operational dashboards deliver visibility into activities and events across all managed environments. Overall, ACRA proves to be an essential tool in ensuring the integrity and security of sensitive data operations.
Description
dstack simplifies GPU infrastructure management for machine learning teams by offering a single orchestration layer across multiple environments. Its declarative, container-native interface allows teams to manage clusters, development environments, and distributed tasks without deep DevOps expertise. The platform integrates natively with leading GPU cloud providers to provision and manage VM clusters while also supporting on-prem clusters through Kubernetes or SSH fleets. Developers can connect their desktop IDEs to powerful GPUs, enabling faster experimentation, debugging, and iteration. dstack ensures that scaling from single-instance workloads to multi-node distributed training is seamless, with efficient scheduling to maximize GPU utilization. For deployment, it supports secure, auto-scaling endpoints using custom code and Docker images, making model serving simple and flexible. Customers like Electronic Arts, Mobius Labs, and Argilla praise dstack for accelerating research while lowering costs and reducing infrastructure overhead. Whether for rapid prototyping or production workloads, dstack provides a unified, cost-efficient solution for AI development and deployment.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Amazon Web Services (AWS)
No
Google Cloud Platform
No
Kubernetes
Yes
Microsoft Azure
No
Model Context Protocol (MCP)
Yes
Python
No
Integrations
Amazon Web Services (AWS)
Yes
Google Cloud Platform
Yes
Kubernetes
No
Microsoft Azure
Yes
Model Context Protocol (MCP)
No
Python
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Valarian
Founded
2020
Country
United Kingdom
Website
www.valarian.com/technology
Vendor Details
Company Name
dstack
Founded
2022
Country
Germany
Website
dstack.ai/
Product Features
IT Security
Anti Spam
No
Anti Virus
No
Email Attachment Protection
No
Event Tracking
No
IP Protection
No
Internet Usage Monitoring
No
Intrusion Detection System
No
Spyware Removal
No
Two-Factor Authentication
No
Vulnerability Scanning
No
Web Threat Management
No
Web Traffic Reporting
No
Product Features
Alternatives
No Alternatives