Revolutionizing the use of local Large Language Models
Empower Your Business with TieSet’s Adaptive LLM
– Absolute Security, Absolute Privacy –
Achieve Maximum Performance
with the Power of Latest LLM Technologies.
Cost-Effective, Eco-Conscious, Reliable, Uncompromised!
Use your own harware or our preloaded units.
Our environmental solution lowers carbon emissions.
By utilizing a local LLM rather than relying on data center operations, AdaptiveLLM is able to greatly reduce its carbon footprint and promote more environmentally-friendly business practices. Since large language models typically require massive computing power from servers and data centers, their operation emits considerable greenhouse gases from fossil fuel-derived electricity. However, by keeping our LLM small and running it locally on more energy-efficient hardware, we bypass the carbon-intensive aspects of remote data servers and infrastructure. Research shows even a moderately complex LLM can produce over 626,000 pounds of CO2 equivalent emissions if relying on typical data center power. But our locally hosted model has decreased estimated emissions by over 90% compared to conventional, data center-dependent LLMs. As businesses and technologies universally transition toward greener solutions, our localized approach serves as a vanguard for energy-efficient natural language processing and environmentally conscious AI implementation overall.
Local large language models (LLMs) like Adaptive-LLM can integrate with common workplace tools like Slack and Box to extend their capabilities. For example, Adaptive-LLM can connect to a company’s Slack workspace via an API and participate in conversations, offer suggestions, and answer questions. Users can mention Adaptive-LLM in any channel, and it can respond with relevant information or task automation. Similarly, Adaptive-LLM can connect to Box through its API and index files stored there. This allows Adaptive-LLM to search content in Box and summarize documents when asked. Overall, integrating local LLMs with external programs allows the AI assistant to tap into a broader range of company information and conversations, enabling more natural and seamless interactions.
What We Offer
Artificial intelligence will help everyone succeed
Locally hosted Adaptive-LLM can provide companies with a customized, secure, fast, and lower-cost solution that unlocks unique capabilities giving them an edge over competitors relying on generic third-party services.
Hardware Selection for local LLMs
We provide cost effective Kubernetes cluster devices for efficient large language model inferencing. Key considerations include GPU memory capacity to support multiple concurrent users, model queries, as well as CPU core counts, system memory, and storage to build cost-effective cluster servers and edge devices tailored for low latency text generation and comprehension. AdaptiveLLM allows easy deployment of large language models on clusters and resource-constrained edge devices while handling load balancing, autoscaling, and efficient model splitting automatically. We require no datacenter operations for our models to be finetune or operate locally.
Up to 400 TOPS per unit
Use your own cloud services.
Running the LLM on your own infrastructure gives you full control over access, security, monitoring, etc. You don’t have to rely on or trust an external provider.
Our Latest Projects
Next-gen innovation is capturing your knowledge securely by department.
Sensitive data remains under your control rather than being sent to a third-party system. This allows you to better manage privacy and compliance.
Why Choose Us
Experience the limitless possibilities – with Large Language Models.
Unlock the full potential of AI with customizable large language models. Achieve unprecedented levels of responsiveness, precision, and capability by training models locally on your data. Experience groundbreaking on-device intelligence tailored precisely to your needs and use cases, opening up limitless possibilities.