NVIDIA B200 Build and scale advanced AI workloads with NVIDIA Blackwell performance for training and inference. Beyond.pl AI Panel Send an inquiry Blackwell-powered computing for enterprise AI NVIDIA DGX B200 is a comprehensive AI platform built on the NVIDIA architecture, combining eight Blackwell GPUs with high-speed interconnect technology to deliver the compute performance required for demanding generative AI workloads. The platform provides enterprises, data scientists, and developers with powerful AI computing capabilities to accelerate model development, shorten time to insight, and scale AI projects from development to production. Beyond.pl makes this level of GPU compute available through its enterprise-ready AI Factory, designed for demanding AI workloads. Whether supporting a single large-scale deployment or a long-term AI transformation program, our team brings the expertise needed to develop, deploy and scale AI projects. Contact us to explore the capabilities of our AI Factory and discuss your requirements with our team. Graphics: Blackwell GPUs Source: NVIDIA The benefits of scaling AI infrastructure with Beyond.pl Faster access to AI capacity Launch AI projects without long infrastructure lead times. With 2 MW of GPU capacity available in Q1 2027, an additional 12 MW of high-density, liquid-cooled GPU capacity scheduled for H2 2027, and another 24 MW available in 2028, Beyond.pl provides a clear capacity roadmap for organizations planning large-scale AI deployments and long-term growth. Designed for large-scale Built for dedicated AI environments - not one-size-fits-all deployments. Beyond.pl supports large-scale AI projects with access to NVIDIA B300, GB300, GB200 or Vera Rubin platforms, enabling organizations to deploy the architecture that best matches their performance, operational, and growth requirements. AI infrastructure on your terms Your AI infrastructure should adapt to your business - not the other way around. We work closely with your team to deliver the right platform, capacity, and deployment model for your workloads, ensuring your AI environment evolves alongside your long-term strategy. Use cases for NVIDIA B200 Build and train LLMs Develop, fine-tune, and deploy large language models on infrastructure designed for demanding AI workloads. With increased GPU memory and high-performance compute, NVIDIA B200 GPUs enables larger models, extended context windows, and efficient inference at production scale. Scale MoE models Develop, train, and deploy Mixture-of-Experts models on infrastructure designed to handle demanding AI architectures. High GPU memory capacity and fast NVIDIA NVLink™ interconnect help efficiently distribute workloads across expert layers, supporting both MoE training and production inference on a single platform. High-throughput inference Run production AI workloads at scale with infrastructure designed for high-throughput inference. NVIDIA B200 combines Blackwell Tensor Core performance with a large GPU memory footprint, enabling organizations to serve large models, long-context workloads, and high volumes of concurrent inference requests efficiently. NVIDIA B200 Specification Download datasheet Form factor (DGX variant) 10 Rack Units GPU 8× NVIDIA Blackwell GPUs GPU Memory | Bandwidth 1.4 TB HBM3e | 64 TB/s NVLink Bandwidth 14.4 TB/s System Memory 2 TB (configurable to 4TB) CPU (DGX variant) 2× Intel Xeon Platinum 8570 FP4 Tensor Core Performance 144 PFLOPS | 72 PFLOPS FP8/FP6 Tensor Core Performance 72 PFLOPS | 32 PFLOPS Networking (DGX variant) NVIDIA Quantum-2 InfiniBand NVIDIA Spectrum Ethernet 8× ConnectX-7, 2× BlueField-3 DPU (up to 400 Gb/s) Management Network (DGX variant) 10 Gb/s onboard NIC with RJ45 100 Gb/s dual-port ethernet NIC Host baseboard management controller (BMC) with RJ45 Storage (DGX variant) OS: 2x 1.9TB NVMe M.2 Internal storage: 8x 3.84TB NVMe U.2 Source: NVIDIA datasheet The launch of the first commercial AI Factory in CEE In the second half of 2025, Beyond.pl launched the first commercial AI Factory in the CEE region in collaboration with NVIDIA. The platform was built on NVIDIA DGX SuperPOD reference architecture powered by NVIDIA B200 GPUs, providing enterprise-grade infrastructure for AI training and inference workloads Read the press release Explore more NVIDIA AI infrastructure for your next deployment NVIDIA GB300 Large-scale compute for the next generation of AI models and agentic systems. The NVIDIA GB300 NVL72 is a fully liquid-cooled, rack-scale system with 72 NVIDIA Blackwell Ultra GPUs and 36 NVIDIA Grace™ CPUs designed for highly complex AI environments that require powerful compute capacity, fast interconnects and efficient workload scaling. Explore NVIDIA B300 Next-generation accelerated compute for advanced AI applications. NVIDIA B300 supports demanding AI workloads across training, fine-tuning and inference. It is designed for organizations that need scalable performance, enterprise-grade reliability and high-performance NVIDIA accelerated computing for large-scale AI deployments. Explore NVIDIA GB200 Rack-scale AI infrastructure for large, distributed workloads. NVIDIA GB200 is built for organizations developing and operating complex AI environments at scale. It supports large model training, advanced inference and compute-intensive workloads that require tightly integrated GPU, networking and software resources. Explore FAQ What is NVIDIA B200? NVIDIA B200 is an 8-GPU platform based on the NVIDIA Blackwell architecture, designed to power demanding enterprise AI workloads. As the next-generation platform following NVIDIA Hopper, Blackwell delivers a major step forward in compute performance and efficiency for AI workloads. With 1.4 TB of HBM3e GPU memory, fifth-generation NVIDIA NVLink™ and Blackwell Tensor Cores, NVIDIA B200 provides the compute performance and memory capacity required to train large AI models and run high-throughput inference at scale. What is the key difference between NVIDIA B200 and NVIDIA B300? NVIDIA B200 is based on the Blackwell architecture and provides a strong balance of compute performance, GPU memory, and efficiency for demanding AI workloads, including large-scale training and inference across dense and MoE models. NVIDIA B300, powered by Blackwell Ultra, extends these capabilities with greater performance and memory capacity for even more compute-intensive AI workloads. What is the key difference between B200 and GB200? The key difference between B200 and GB200 is their system architecture. NVIDIA B200 uses an x86 architecture, combining x86 CPUs with NVIDIA Blackwell GPUs, while NVIDIA GB200 is based on the NVIDIA Grace Blackwell architecture, integrating Arm-based NVIDIA Grace CPUs with Blackwell GPUs. In short, B200 follows a traditional x86 CPU + GPU architecture, while GB200 uses NVIDIA’s tightly integrated Grace Blackwell CPU-GPU architecture. What is the difference between DGX B200 and HGX B200? The core difference between these two NVIDIA Blackwell systems comes down to how the complete system is delivered and supported. DGX B200 is a fully integrated NVIDIA system, designed, validated, and supported by NVIDIA. HGX B200, on the other hand, is an NVIDIA GPU baseboard platform with eight Blackwell GPUs interconnected via NVIDIA NVLink™, which OEM server manufacturers integrate into their own server designs. In short, DGX B200 is a complete NVIDIA system with NVIDIA hardware support, while HGX B200 provides the foundation for OEM-built servers, with system-level hardware support typically provided by the respective server manufacturer. Which NVIDIA B200 configuration is available at Beyond.pl? Beyond.pl offers NVIDIA DGX B200 as a fully integrated NVIDIA system, designed and validated by NVIDIA for demanding AI workloads, including large-scale model training and high-throughput inference. Is NVIDIA B200 available as a self-service offering? Yes. NVIDIA DGX B200 is available in a self-service model, providing customers with direct access to GPU compute resources. Orders can be placed and resources managed through the Beyond.pl AI Panel. How do I get access to NVIDIA B200? Access NVIDIA DGX B200 by contacting the Beyond.pl technical team or placing an order directly through the Beyond.pl AI Panel. Our team can help you assess your workload requirements, select the right compute resources, and tailor the environment to your AI project. Ready to run AI at scale? Deploy demanding AI workloads on NVIDIA GB200 NVL72 infrastructure at Beyond.pl AI Factory. Check available capacity and discuss dedicated compute designed around your AI workloads and long-term requirements. Contact us
