Unleash the transformative possibilities of AI.
With our unique capabilities in deep learning architectures, advanced hardware design, and infrastructure expertise, we create innovative end-to-end AI solutions that help customers leverage the power of AI compute and tackle high performance workloads in the data center.
NVIDIA Accelerated AI Solutions
Aivres and NVIDIA are working together to develop solutions to help businesses harness the power of AI, through integration with NVIDIA’s edge AI technology on advanced Aivres server platforms, to support the most challenging AI workloads in the industry today.
Our experience in large models lets us design advanced solutions tailored to clients’ AI projects, helping them maximize training performance and speed up development.
Aivres turnkey solutions are meticulously optimized to support scenarios of every type and scale, from enterprise applications to large training models.
Integrating the latest accelerator technologies, Aivres platforms deliver breakthrough performance, density, stability, efficiency, and flexibility for AI.
Aivres AI Solutions
Supercharge your high performance workloads with platforms and solutions tailored to a broad spectrum of applications and scales of deployment – from generative AI and real-time graphics to large model development and hyperscale AI factories.
Supporting Workloads at Any Scale
Massive deployments like AI factories, cloud service providers, large language models
Modular architecture to support model training and inference workloads as needed
Versatile building blocks for generative AI, graphics and video processing, visualization
Exascale AI Rack Solutions
Large Language Model Training & Fine-Tuning, Autonomous Driving
Aivres rack-scale AI solutions feature the highest performance, industry leading accelerators to power even the largest training models with up to trillions of parameters. Build powerful AI factories with rack solutions featuring customized topologies, full-stack hardware and software, and cooling and power design tailored to specific data center conditions.
KRS8000 AI Rack
Trillion-Parameter LLM Training
Liquid-Cooled Blackwell Rack-Scale Architecture
- Connects 72 Blackwell GPUs via NVIDIA® NVLink®
- Delivers 130 TB/s of low-latency communication bandwidth, acting as a single massive GPU for efficient processing
- Breakthrough speed for real-time trillion-parameter LLM inference and training using FP8 precision
- 8 TB/s high memory bandwidth, with high-speed data transfer via Grace CPU NVLink-C2C interconnect
- Whole rack liquid cooling for optimal energy efficiency
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Large-Scale AI Training & Inference
Large Language Model Training & Fine-Tuning, Autonomous Driving
Deploy and scale compute as needed with modular AI Pods based on cutting-edge GPUs and accelerators to empower advanced AI workloads in the data center.
8-GPU AI Pods
Empowering LLMs in the Data Center
Optimized GPU Modules for Data Center Deployment
- Supports powerful accelerators including NVIDIA H200, B200, Intel® Gaudi®, AMD Instinct™
- 5U, 6U, 9U form factors for data center deployment
- Unified systems for high performance, heterogeneous computing
- Lossless scalability to expand as needed
- Modular designs enable ease of installation, access, operation, and maintenance
- Optimal power efficiency to lower data center PUE
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Enterprise, Generative AI
Recommender Systems, Image & Video Processing, Digital Twins and Simulation
Empower a wide variety of enterprise workloads with agile rack mount servers featuring flexible configurations and architectures. Seamlessly integrate and deploy AI hardware resources with Aivres’ full-stack management platform.
PCIe 5.0 GPU Servers
Widely Versatile AI Building Blocks
Flexible GPU Servers for Enterprise, Gen-AI
- PCIe 5.0 architecture supporting E3.S
- Delivers high-density performance up to 15 PFLOPS
- CXL1.1 supports storage-level memory expansion
- Flexible topologies and configurations to support various applications
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AI DevOps Management and Scheduling Software
Aivres’ full-stack AI DevOps platform integrates GPU and data resources alongside AI development environments to streamline resource allocation, task orchestration, and centralized management, helping enterprises efficiently build and deploy AI models.
- Supports single-device sharing of GPU resources of up to 64 tasks shared per GPU
- Fine-grained allocation and partitioning of resources
- Users can dynamically request GPU resources based on GPU memory
- Reduced data cache cycle improves model development and training efficiency
- “Zero-copy” transmission strategy, multi-thread fetch, incremental data updates, training data affinity scheduling
- Integrates mainstream development frameworks including PyTorch and TensorFlow
- Supports distributed training frameworks like Megatron and DeepSpeed
- Automatic fault tolerance processes ensure fast recovery during interruptions
- Real-time performance monitoring and alerts
- Sandbox isolation mechanisms for data with higher security levels
Empowering New Possibilities with Aivres AI
Aivres AI is helping to expand horizons and make a difference in avenues like health and medicine, conservation, autonomous driving, and many more.
Enabling large models for fire monitoring, climate simulation, and water conservancy
Intelligent mass data processing to accelerate scientific research and improve medical services
Powering digital twins and edge computing to deliver immersive experiences across any medium
AI at the edge to enhance smart roads, autonomous vehicles, and driver experience
Integrating cloud, edge, and automation to revolutionize production speed and capacity
Machine learning and data analytics to improve accuracy in transactions and market prediction
Success Stories
Aivres AI solutions powering vital workloads and enabling real-world business transformations.
Accelerating data processing and research in medical institutions
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Aiding with harm reduction and health monitoring in livestock farms
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