Nor-Tech’s AI ProServers with NVIDIA® B300 and B200 GPUs

Nor-Tech’s AI ProServer 300

Featuring the NVIDIA B300 GPU

Enterprise-Ready AI Performance, Expertly Integrated
Designed for a new era of AI reasoning, Nor-Tech’s newest AI ProServer 300 features the NVIDIA B300 Ultra GPU. It delivers a powerful turnkey platform for AI, HPC, and advanced visualization; pairing cutting-edge GPU performance with Nor-Tech’s world-class engineering—accelerating innovation without adding complexity.

Co-Engineered Hardware, Seamlessly Integrated
Built to the 21-inch OCP Open Rack V3 (ORV3) specification, Nor-Tech’s 2-OU liquid-cooled NVIDIA HGX B300 system, co-engineered with Supermicro, sets a new standard for GPU density and efficiency. Each compact node features eight NVIDIA Blackwell B300 GPUs operating at up to 1,100W TDP, cooled by state-of-the-art liquid cooling with blind-mate manifold connections and modular GPU/CPU tray architecture.

This innovative design delivers exceptional serviceability while dramatically reducing power consumption and rack footprint— enabling maximize compute performance in space-constrained data centers. It provides a total solution encompassing liquid-cooling technology, network topology and cabling, power delivery, and thermal management to accelerate time-to-solution.

Every system arrives fully integrated, tested, documented, and optimized—reducing deployment time and eliminating configuration challenges.

NVIDIA B300 Technical Breakthroughs

AI Reasoning Inference: Test-time scaling and AI reasoning increase the compute necessary to achieve quality of service and maximum throughput. NVIDIA Blackwell Ultra’s Tensor Cores are supercharged with 2x the attention-layer acceleration and 1.5x more AI compute floating-point operations per second (FLOPS) compared to NVIDIA Blackwell GPUs.
High-Capacity HBM3E Architecture: Larger memory capacity allows for larger batch sizing and maximum throughput performance. NVIDIA Blackwell Ultra GPUs offer 1.5x larger HBM3E memory in combination with added AI compute compared to its predecessor, boosting AI reasoning throughput for the largest context lengths.
NVIDIA Blackwell Architecture: The NVIDIA Blackwell architecture delivers groundbreaking advancements in accelerated computing, powering a new era of unparalleled performance, efficiency, and scale.
NVIDIA ConnectX-8 SuperNIC: The NVIDIA ConnectX-8 SuperNIC’s input/output (IO) module hosts two ConnectX-8 devices, providing 800 gigabits per second (Gb/s) of network connectivity for each GPU in the NVIDIA GB300 NVL72. This delivers best-in-class remote direct-memory access (RDMA) capabilities with either NVIDIA Quantum-X800 InfiniBand or Spectrum-X Ethernet networking platforms, enabling peak AI workload efficiency.
NVIDIA Grace CPU: The NVIDIA Grace CPU is a breakthrough processor designed for modern data center workloads. It provides outstanding performance and memory bandwidth with 2x the energy efficiency of today’s leading server processors.
Fifth-Generation NVIDIA NVLink: Unlocking the full potential of accelerated computing requires seamless communication between every GPU. The fifth generation of NVIDIA NVLink is a scale–up interconnect that unleashes accelerated performance for AI reasoning models.

As always, Nor-Tech delivers complete, ready-to-run solutions backed by highly accessible, responsive, people-friendly engineering support.

About the NVIDIA^® B-Series GPUs

AI has evolved around three fundamental scaling dimensions: pretraining, post-training, and inference-time scaling (long thinking or reasoning). This third dimension is critical for enabling agentic AI, where models must dynamically reason through complex queries during inference. Unlike traditional one-shot inference, test-time scaling can demand up to 100x more compute, as models evaluate multiple potential responses before selecting the most accurate outcome. The solutions to this challenge are the NVIDIA B-Series GPUs.

The B200 is focused on large-scale AI training and inference.
The B300 Ultra boosts memory, bandwidth, and AI performance for very large models and next-generation AI infrastructure.

Read the B300 Data Sheet

Read the B200 Data Sheet