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Average Ratings 0 Ratings

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ease
features
design
support

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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

packet.ai is a cloud platform designed for GPU computing that enables developers and AI teams to swiftly access high-performance resources without the drawbacks associated with conventional cloud setups. It offers on-demand GPU instances featuring state-of-the-art NVIDIA technology that can be initiated within seconds and accessed via platforms like SSH, Jupyter, or VS Code, allowing users to efficiently begin training models, conducting inference, or testing AI applications. By adopting a novel strategy for GPU resource management, Packet.ai dynamically allocates resources in response to real-time workload requirements, which permits multiple compatible tasks to utilize the same hardware effectively while ensuring consistent performance. This innovative method leads to improved resource utilization and removes the necessity of paying for unused capacity, concentrating instead on the precise compute resources utilized. Additionally, Packet.ai includes an OpenAI-compatible API that supports language model inference, embeddings, fine-tuning, and more, thereby expanding the possibilities for AI development and experimentation. The platform's flexibility and efficiency make it a valuable tool for teams looking to optimize their AI workflows.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

No images available

Screenshots View All

Integrations

Jupyter Notebook No 
OpenAI No 
SSH NQX No 
Visual Studio Code No 

Integrations

Jupyter Notebook Yes 
OpenAI Yes 
SSH NQX Yes 
Visual Studio Code Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$0.39/hour
Free Trial No 
Free Version 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 

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) Yes 
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

Locai

Founded

2026

Country

United Kingdom

Website

www.locai.co.uk

Vendor Details

Company Name

packet.ai

Country

United States

Website

packet.ai/

Product Features

Product Features

Alternatives

Alternatives