WorqHat partners with AWS to deploy Fine-Tuned top-performing, Foundation Models and Workspaces to Custom Machines

Release Date: 29th October 2023

🎉 WorqHat is thrilled to announce a new strategic collaboration with AWS. This partnership allows users to choose from various machine configurations for deploying their workspaces and highly efficient Large Language Models. The process is not only more effective but also cost-efficient and secure.

So, with the current release of WorqHat, here's how our newest association with AWS brings loads of more value to you:

🚀 Selecting between various machine configurations

WorqHat users now have the flexibility to choose from a diverse range of machine configurations for their workspace and model deployment. This feature enables them to select an optimal machine configuration that aligns with their specific needs and budget constraints. The availability of various machine configurations aids in determining the most suitable machine, considering factors such as Latency, Storage Size, Usage Frequency, and Budget.

🚀 Making AI and Large Language Models more accessible & secure

Our primary objective is to enhance the accessibility and security of Large Language Models. This collaboration brings us closer to our goal by offering a more secure and economical solution for workspace and model deployment. It allows users to concentrate on their tasks rather than worrying about the infrastructure. We also provide a completely secure and private auto fine-tuning process based on user usage, historical data, and needs. The deployment process within individual machine containers ensures data privacy as it is not shared with anyone, including us.

🚀 Deploying Workspaces to Custom Machines

Once you've chosen a machine configuration, we'll swiftly deploy your workspace to a custom machine. You'll be able to start working within minutes. Our containers are highly secure and private, safeguarded by advanced security protocols such as AES-256 Encryption and TLS 1.3. Each workspace is assigned a unique URL for sharing with your team. In the near future, we'll enable deployment of your workspace to your custom domain and allow connections to Custom VPC containers via AWS Internal IP Addresses, enhancing security and privacy. In addition to the global infrastrucutre, we also keep security replications of your data across multiple regions to ensure that your data is always available and accessible. Right now, we use custom managed keys encrypted using an XTS-AES-256 cipher to store the data, but coming soon, you will be able to create and add your own security keys as Enterprise Users.

🚀 Machine Configuration and Choices

We offer a selection of machine configurations to cater to your unique needs. Here are the available options:

• Small - This configuration includes 4 vCPU, 16 GB RAM, and 1 GPU (24 GB). It's an ideal choice for organizations with minimal usage and smaller, less frequently accessed AI models.

• Medium - This setup offers 8 vCPU, 32 GB RAM, and 1 GPU (24 GB). It's suitable for organizations that regularly use and fine-tune larger datasets for AI models. However, it may experience higher latency and slower speed.

• Large - This powerful configuration provides 16 vCPU, 64 GB RAM, and 1 GPU (24 GB). It's perfect for organizations with high usage levels and large datasets for frequently accessed and fine-tuned AI models. It delivers the fastest speed and lowest latency.

Additionally, we offer a custom deployment option where you can select the number of vCPUs, the amount of RAM, and the type of GPU to fit your specific needs and budget. Our team is here to guide you in making the best choice.

This feature will be available to all users in the forthcoming weeks. For early access, please contact us at support@worqhat.com. We're eager to assist you!

🚀 What's Next?

In the upcoming weeks, we are planning to introduce a new feature that allows users to choose a custom machine configuration for their workspace. Initially, this will be available to our Enterprise Customers and high usage users, before being extended to all users.

We are also excited to announce that we will be expanding our partnership with AWS. Over the next few months, we will be launching several features that can be integrated with AWS. The aim is to simplify Billing and Internal Integration processes. We believe that this continued partnership will play a crucial role in helping businesses and developers transform automation and machine-learning processes using cutting-edge Language Models.

We are thrilled about these updates, and we couldn't have achieved this without your unwavering support. Our goal is to make AI innovation accessible, efficient, and enjoyable. So, stay creative and get ready for more exciting features that will be launched soon!

We appreciate your continued participation in the WorqHat community. Stay tuned for more exciting updates. Remember, the future of AI is truly AI-mazing! 🚀🤖

This blog was drafted by WorqHat's Large Language Models Content assistant, with humans providing additional editing and real quotes.