Supported graphics cards include the recently announced GeForce RTX™ SUPER desktop GPUs and accelerated software tools for supercharged AI performance.

NVIDIA RTX GPUs — capable of running a broad range of applications at the highest performance — unlock the full potential of generative AI on PCs. Tensor Cores in these GPUs dramatically speed AI performance across the most demanding applications. Workstations with RTX GPUs can run NVIDIA AI Enterprise software, including TensorRT and NVIDIA RAPIDS™ for simplified, secure generative AI and data science development.

For Data Science use cases, NextComputing AI PCs can also be built with GPUs based on NVIDIA’s Ampere architecture. The NVIDIA A800 40GB Active GPU accelerates data science, AI, and HPC workflows with 432 third-generation Tensor Cores to maximize AI performance and ultra-fast and efficient inference capabilities. With third-generation NVIDIA NVLink technology, A800 40GB Active offers scalable performance for heavy AI workloads, doubling the effective memory footprint and enabling GPU-to-GPU data transfers up to 400 gigabytes per second (GB/s) of bidirectional bandwidth. This board is an AI-ready development platform with NVIDIA AI Enterprise, and delivers workstations ideally suited to the needs of skilled AI developers and data scientists.

To help developers quickly create, test and customize pretrained generative AI models and Large Multimodal Models (LMMs) using PC-class performance and memory footprint, NVIDIA recently announced NVIDIA AI Workbench. AI Workbench offers streamlined access to popular repositories like Hugging Face, GitHub and NVIDIA NGC™, along with a simplified user interface that enables developers to easily reproduce, collaborate on and migrate projects.

NVIDIA TensorRT-LLM (TRT-LLM), an open-source library that accelerates and optimizes inference performance of the latest large language models (LLMs), now supports more pre-optimized models for PCs. Accelerated by TRT-LLM, Chat with RTX, an NVIDIA tech demo also releasing this month, allows AI enthusiasts to interact with their notes, documents and other content.

NextComputing can integrate various open-source Large Multimodal Models (LMMs), including BERT.

BERT, or Bidirectional Encoder Representations from Transformers, is a powerful natural language processing model that has been used for a variety of tasks, including text classification, question answering, and natural language inference.

Are you a researcher, developer, or entrepreneur who wants to train BERT models? If so, you need a powerful PC that can handle the task. But with so many options on the market, how do you choose the right one? That’s where NextComputing can help. We work with you to produce a purpose-built AI PC that is perfect for training BERT and other LMM models. Our AI PCs are powerful, affordable, and easy to use. Plus, we offer a variety of features that make them ideal for BERT training, such as:

• Large amounts of memory: BERT models require a lot of memory to train. Our PCs have plenty of memory to handle even the largest models.
• Fast processors and GPUs: BERT training can be time-consuming. Our PCs have fast processors that can speed up the training process.
• User-friendly software: Our PCs come with user-friendly software that makes it easy to train BERT models.

If you're looking for a powerful, affordable, and easy-to-use AI PC for training BERT models, look no further than our AI PCs. We offer a variety of models to choose from, so you can find the perfect one for your needs. Plus, we offer a variety of features that make our AI PCs ideal for BERT training. Contact us to review your requirements and start training BERT models like a pro!