Artificial Intelligence
AI Development Workstations, AI Clusters, and AI at the Edge
At the heart of AI’s progress are the computational platforms that support machine learning, deep learning, and data-driven analytics. Three foundational architectures—AI development workstations, AI clusters, and AI at the edge—stand as pillars supporting the expansion of intelligent systems.
NextComputing offers powerful and versatile computing solutions that are configured to handle even the most demanding AI workloads with ease. Our systems create a continuum of capability, from early-stage research and model development to deployment in dynamic, real-world environments. As technology advances, these platforms will continue to converge, enabling smarter, faster, and more accessible AI for all.
AI Solutions
AI Development Workstations
Processing Power (CPU/GPU) - AI development often involves complex mathematical computations, and having a powerful processor is crucial. Graphics Processing Units (GPUs) are especially important for training machine learning models as they excel at parallel processing. NextComputing systems are available with the latest CPUs from AMD and Intel as well as NVIDIA GPUs for performance and parallel processing at the cutting edge.- Memory - Sufficient RAM is necessary to handle large datasets and complex algorithms. AI tasks, especially deep learning, can be memory-intensive, so having 256GB DDR5 RAM allows our solutions to provide smooth operation.
- Storage - AI projects may involve working with large datasets, so with 8TB-62TB and options for even further expansion, our systems can offer incredible data access speed and overall system performance.
- Portability - The demands of resource-intensive tasks like model training are far beyond any laptop, but NextComputing systems offer extreme performance in high-density systems that can be packed up and redeployed quickly and securely, wherever you want to work.
AI Clusters
- Multiple High-Performance Compute Nodes - Each node is a powerful server with one or more CPUs and GPUs or purpose-built AI accelerators.
- High-Speed Interconnects - Networking is optimized to ensure rapid data transfer between nodes, a necessity for parallel training of large models or distributed data processing.
- Centralized or Distributed Storage - Shared storage systems quickly and easily manage terabytes or petabytes of data.
- Cluster Management Software - Orchestration tools manage resource allocation, job scheduling, and containerization to maximize efficiency.
AI at the Edge
- Compact, Power-Efficient Processors - ARM-based CPUs from Ampere are designed to execute AI models with minimal energy consumption.
- High-Speed Storage - Every NextComputing system features expansive storage options to reduce reliance on central networks.
- Compact Form Factor - NextComputing is the expert on offering maximum performance in minimum space. Our solutions range from high-density rack systems to fully deployable fly-away kits.
Support for LLMs
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!
AI Processing Power
The Future of AI - Advanced by AMD
AMD Ryzen™ AI will bring amazing experiences and innovative solutions to consumers and commercial audiences. These processors feature built-in AI-centric features to accelerate your workflow.
AMD Ryzen includes the world’s first x86 dedicated AI engine. This specialized engine enables AI applications directly on your PC while relieving some of the burden on the CPU and GPU. Innovations like this make AMD Ryzen the ideal tool for AI tasks such as model training, threat detection, coding assistance, and data modeling.
The Power of Personal AI with AMD Ryzen™ AI
AI is everywhere. It is transforming the way consumers create, interact, work and use technology every day. With AMD Ryzen AI, PC users can tap into the exciting possibilities that AI brings and experience the power of personal AI at their fingertips.
AMD Ryzen AI at a Glance
AMD Ryzen AI is a combination of powerful AI accelerators that help unlock new levels of performance and efficiency for running AI workloads.
AMD Ryzen AI includes:
- NPU : dedicated AI engine optimized for efficient AI processing
- GPU : AMD Radeon™ graphics for high-bandwidth AI performance
- CPU : AMD Ryzen processor cores designed for responsive AI acceleration
Together, they can perform up to 39 trillion operations per second (TOPS), the most you can get on a consumer Windows x86 processor today!
NextComputing workstations with AMD Ryzen AI are optimized for a world of AI-driven experiences including developing your own instance of a GPT based Large Language Model (LLM-powered) chatbot, creating an AI coding assistant, and so much more!
AI Everywhere with Intel
5th Gen Intel® Xeon® Scalable processors deliver performance increases and benefits across key workloads, such as artificial intelligence, high-performance computing, networking, storage, database and security.
With AI acceleration in every core, 5th Gen Xeon processors address demanding end-to-end AI workloads before customers need to add discrete accelerators — including up to 42% higher inference performance over previous generations and less than 100 millisecond latency on large language models (LLMs) under 20 billion parameters.
AI at Scale with Ampere
NextComputing offers cutting edge solutions with AmpereOne processors. These systems are ideal for at-scale AI-enabled web services and applications. AmpereOne processors are known for their energy efficiency and placing maximum computing power into compact packages. This is synergistic with the NextComputing model for offering high performance systems in small form factors.
AmpereOne processors feature 192 high-performance cores for outstanding performance and power efficiency. They offer linearly scalable throughput, making them ideal as a machine learning tool. They are perfectly suited for AI tasks such as AI enabled cloud services such as recommender engines, predictive analytics, natural language processing, and computer vision applications.
Some key features of the processor include:
- High DDR5 memory bandwidth
- 4TB memory capacity
- Consistent frequency
These features lead to highly predictable performance. More compute intensive tasks can be performed with fewer systems, lowering TCO. AmpereOne architecture drives faster, more predictable AI services that scale seamlessly with demand, helping data centers maximize efficiency and reduce infrastructure costs.
GPU Acceleration
AI Development with NVIDIA
Many AI frameworks and libraries leverage GPU acceleration for faster training of deep learning models. A computer with a powerful GPU or multiple GPUs is beneficial for speeding up these computations. AI development workstations from NextComputing support multiple professional-grade GPUs from NVIDIA featuring the newest advancements in 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.
The newest addition, NVIDIA RTX PRO 4500 Blackwell GPU, is designed for professionals who demand the best. Blackwell is the most powerful professional RTX GPU ever created with the latest SM and CUDA core technology. It delivers next-level AI and neural rendering with latest gen Tensor, RT, and CUDA cores and 32GB of GDDR7 memory, accelerating data workflows.
NVIDIA L4 / L40S GPU
NVIDIA L4 / L40S GPUs are a versatile and powerful tool for AI development, striking a balance between high-end performance and cost-effectiveness. It is particularly well-suited for a wide range of AI workloads, from training and inference to graphics-intensive applications. This GPU is engineered to meet the demanding needs of modern data centers, offering exceptional capabilities for artificial intelligence (AI) workloads such as LLM inference and fine tuning, as well as visual computing, machine learning, and data analytics.
- Fourth-Gen Tensor Cores - Over 2X throughput for deep learning operations
- 48GB of Memory - Massive bandwidth for large datasets and models
- Transformer Engine - Up to 6X faster GPT-3 training and 4X faster inference
- Enterprise-Grade Reliability - Includes ECC memory and secure boot for data integrity and protection.
Data Science Acceleration
NVIDIA AI Software
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 allows AI enthusiasts to interact with their notes, documents and other content.
Featured Systems
NextStation-TR
- Designed for best-in-class components - Built to use AMD motherboards that leverage the extreme power of the latest AMD Ryzen Threadripper, AMD Ryzen Threadripper PRO, and AMD EPYC processors
- Versatile form factor - Stackable design and removable front and rear side rack ears for use as either a rack mount or desktop system. Durable, compact, and deployable aluminum alloy chassis with active front-to-back cooling.
- Modular design - Built for optimal airflow volume and direction for best cooling/thermal performance with high-end PCI Express cards
- XL version available - An extended version of the NextStation-TR is available with a deeper chassis designed to support NVIDIA RTX GPUs for server/GPU co-processing
Edge XT
- Unprecedented Processing Power: Workstation-class processors from Ampere, AMD or Intel
- Performance tuned: Optimized for popular developer applications then configured and integrated for your requirements
- Multi-GPU support: Leverage one or more full-size workstation-class GPU cards for graphics or AI workflows and machine learning optimized performance
- Massive storage: Multiple storage options including PCI Express based or SATA-based SSDs
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