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What is Tenstorrent DevCloud?

Tenstorrent DevCloud was established to provide users the opportunity to test their models on our servers without the financial burden of hardware investments. By launching Tenstorrent AI in a cloud environment, we simplify the exploration of our AI solutions for developers. Users can initially log in for free and subsequently engage with our dedicated team to gain insights tailored to their unique needs. The talented and passionate professionals at Tenstorrent collaborate to create an exceptional computing platform for AI and software 2.0. As a progressive computing enterprise, Tenstorrent is dedicated to fulfilling the growing computational demands associated with software 2.0. Located in Toronto, Canada, our team comprises experts in computer architecture, foundational design, advanced systems, and neural network compilers. Our processors are engineered for effective neural network training and inference, while also being versatile enough to support various forms of parallel computations. These processors incorporate a network of Tensix cores that significantly boost performance and scalability. By prioritizing innovation and state-of-the-art technology, Tenstorrent strives to redefine benchmarks within the computing sector, ensuring we remain at the forefront of technological advancements. In doing so, we aspire to empower developers and researchers alike to achieve their goals with unprecedented efficiency and effectiveness.

What is LM Studio?

Models can be accessed either via the integrated Chat UI of the application or by setting up a local server compatible with OpenAI. The essential requirements for this setup include an M1, M2, or M3 Mac, or a Windows PC with a processor that has AVX2 instruction support. Currently, Linux support is available in its beta phase. A significant benefit of using a local LLM is the strong focus on privacy, which is a fundamental aspect of LM Studio, ensuring that your data remains secure and exclusively on your personal device. Moreover, you can run LLMs that you import into LM Studio using an API server hosted on your own machine. This arrangement not only enhances security but also provides a customized experience when interacting with language models. Ultimately, such a configuration allows for greater control and peace of mind regarding your information while utilizing advanced language processing capabilities.

Media

Media

Integrations Supported

Continue
Docker
Hugging Face
Llama 2
OpenAI
StarCoder
Vicuna
bolt.diy

Integrations Supported

Continue
Docker
Hugging Face
Llama 2
OpenAI
StarCoder
Vicuna
bolt.diy

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Tenstorrent

Company Location

Canada

Company Website

tenstorrent.com/devcloud/

Company Facts

Organization Name

LM Studio

Company Website

lmstudio.ai

Categories and 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)

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Categories and 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)

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