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Description
Locai provides a robust infrastructure and tools designed to facilitate large-scale AI operations off the cloud. All processes occur on your own hardware, whether on-premises or within a private cloud, ensuring that your data remains within your control.
The platform encompasses a comprehensive suite of functionalities. Locai Link serves as the inference runtime, enabling the deployment of large language models, audio transcription, video processing, and image recognition across various hardware types, including workstations, servers, and edge devices. Meanwhile, Locai Control functions as the orchestration layer, allowing users to oversee models, updates, and policies for entire fleets of machines from a single interface, ensuring seamless integration by enabling outputs from one model to feed into another for effective multimodal data fusion. To top it off, Locai Workspace offers teams a private AI environment equipped with chat, document management, and assistants, all supported by models that operate within the organization.
Locai’s architecture is hardware-agnostic and compatible with a variety of models, including GGUF, ONNX, and TFLite. Developed in the UK with a focus on regulated sectors such as financial services, nuclear energy, defense, and critical infrastructure, Locai offers a free starting point for users to explore its capabilities. This adaptability makes Locai an appealing choice for organizations seeking secure AI solutions that fit their specific needs.
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.
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Integrations
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Python
Integrations
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Python
Pricing Details
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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
Locai
Founded
2026
Country
United Kingdom
Website
www.locai.co.uk
Vendor Details
Company Name
dstack
Founded
2022
Country
Germany
Website
dstack.ai/