NVIDIA HGX B200 8-GPU SuperServer

Product Description

NVIDIA HGX B200 8-GPU SuperServer — The AI Infrastructure Beast You've Been Waiting For

Is your AI workload crushing your compute budget while delivering underwhelming throughput? The NVIDIA HGX B200 8-GPU SuperServer (SYS-822GS-NBRT) is purpose-built to eliminate that bottleneck at scale. This is not a server you configure for general use. This is a precision instrument for organizations running LLMs, AI & HPC workloads, and deep learning pipelines where compute failure is not an option.

NVIDIA HGX B200 8-GPU SuperServer: Full Specifications and Performance Overview

The SYS-822GS-NBRT is an 8U rackmount dual-socket system built on the Super X14DBG-LC+ motherboard. It houses eight onboard NVIDIA SXM HGX B200 GPUs, each with 180GB of GPU memory and a 1000W TDP per GPU. GPU-to-GPU communication runs over NVIDIA NVLink with NVSwitch, delivering extremely high-bandwidth interconnect with near-zero latency between GPUs.

The CPU side runs Dual Intel Xeon 6700/6500 Series processors with P-cores in a Dual Socket E2 (LGA-4710) configuration. Each CPU supports up to 86 cores and 172 threads with up to 336MB cache, and the system handles CPUs rated up to 350W TDP under air cooling.

Key Features of the NVIDIA HGX B200 SuperServer SYS-822GS-NBRT

Extreme GPU Compute Density

Eight NVIDIA B200 SXM GPUs in a single chassis deliver unprecedented parallel compute for enterprise AI. The NVSwitch fabric connects all GPUs in a fully non-blocking topology, which is critical for distributed training jobs and inference serving at low latency.

PCIe 5.0 x16 CPU-to-GPU interconnects prevent data starvation at the host-device boundary. For workloads like LLM pre-training or real-time conversational AI inference, that bandwidth headroom makes a measurable difference.

Massive DDR5 Memory Capacity

The 32 DIMM slots support up to 8TB of ECC DDR5 RDIMM memory at 5200MT/s in a 2DPC configuration, or up to 4TB at 6400MT/s in 1DPC mode. This memory headroom directly supports workloads in business intelligence, drug discovery pipelines, and financial fraud detection systems that require enormous in-memory datasets.

Memory voltage holds at 1.1V, with full ECC support for error-resilient, mission-critical deployments.

Enterprise-Grade NVMe Storage Architecture

Storage runs across eight hot-swap E1.S NVMe front bays plus two M.2 PCIe 5.0 x4 NVMe slots with RAID support via the S3808N controller. Hot-swap capability means storage failures do not require downtime — a non-negotiable feature for 24/7 HPC and AI training environments.

PCIe 5.0 Expansion Slots

The default configuration provides 8 PCIe 5.0 x16 LP slots and 2 PCIe 5.0 x16 FHHL slots. This expansion capacity supports high-bandwidth accelerators, network cards, or custom I/O hardware, making the system adaptable across diverse scientific research and autonomous vehicle technology deployments.

Power, Efficiency, and Thermal Design

Titanium-Level Redundant Power

Six 6600W Titanium-level (96% efficiency) power supplies in a 3+3 redundant configuration power this system. The PSU supports variable input from 200V to 240V AC, with output scaling from 5900W to 6600W depending on input voltage. Peak +12V output hits 130A per supply.

This is not just about raw wattage. At 96% Titanium efficiency, the system wastes minimal power as heat, which reduces cooling load and long-term operational costs in data center environments.

Air-Cooled Thermal Management

Despite the 8000W+ aggregate GPU TDP load, the SYS-822GS-NBRT is fully air cooled. Twelve heavy-duty fans with PWM control and tachometer monitoring manage thermals across the chassis. The operating temperature range sits at 10°C to 35°C, standard for controlled data center environments.

Thermal monitoring covers CPU cores, chassis environment, and per-connector fan control. This level of monitoring supports proactive thermal management, particularly for workloads that push all eight GPUs into continuous sustained load.

Security Architecture and Firmware Integrity

Datacenter-grade security is non-negotiable in AI infrastructure. The NVIDIA HGX B200 SuperServer ships with TPM 2.0, Silicon Root of Trust (NIST 800-193 compliant), cryptographically signed firmware, and secure boot. Firmware updates go through verified channels only, with automatic recovery in case of corruption.

Remote attestation and supply chain security features protect against hardware-level tampering — features that matter for finance services and regulated research environments operating under strict compliance frameworks.

Runtime BMC protections and system lockdown modes add another layer of operational security at the management plane.

Use Cases: Where the NVIDIA HGX B200 SuperServer Delivers

This system is purpose-aligned with the most demanding compute verticals:

• AI/Deep Learning Training and Inference: 8 B200 GPUs with NVSwitch provide the GPU-to-GPU bandwidth needed for distributed training of large models.
• Large Language Model (LLM) and Generative AI: Multi-GPU tensor parallelism across NVLink fabric makes this the correct hardware for LLM serving and pre-training.
• High Performance Computing (HPC): Dual Xeon P-core CPUs with up to 172 threads per socket and 8TB memory scale to demanding simulation workloads.
• Drug Discovery and Scientific Research: Memory density and compute throughput accelerate molecular modeling and genomics pipelines.
• Conversational AI: Low-latency GPU interconnects support real-time inference across concurrent sessions.
• Business Intelligence and Analytics: Large in-memory DDR5 capacity powers in-database analytics without constant disk I/O.
• Finance Services and Fraud Detection: High-throughput inference pipelines process transactional data at sub-millisecond speeds.
• Autonomous Vehicle Technologies: Parallel compute handles sensor fusion and model validation at scale.

Compatibility and Form Factor Considerations

The 8U rackmount chassis (CSE-GP807TS-R000NP-B2) measures 13.8" H × 17.6" W × 37.4" D, with a net weight of 293 lbs (133 kg). Standard 19-inch rack compatibility makes integration into existing enterprise infrastructure straightforward.

I/O includes 1 USB 3.0 and 1 USB 2.0 front port, a Mini-DisplayPort, 1 IPMI GbE LAN port, and dual 10GbE RJ45 via Intel X710 NICs. The dedicated BMC LAN port enables out-of-band management independent of the production network.

BIOS runs on AMI 64MB UEFI with full ACPI power management support.

Reliability, Warranty, and Long-Term Deployment Readiness

With 3+3 redundant PSUs, hot-swap NVMe bays, heavy-duty fan arrays with tachometer monitoring, and NIST-compliant firmware security, this system is built for continuous operation in production AI data centers.

The combination of hardware health monitoring — covering CPU voltages, memory, fan speeds, and chassis temperatures — gives operations teams full visibility into system state without physical intervention.

At PCB Store in Bangladesh, customers deploying this server in research institutions, financial data centers, or AI development labs can expect consistent hardware quality with enterprise procurement support.

Get the NVIDIA HGX B200 8-GPU SuperServer at PCB Store Bangladesh

This system is not a discretionary upgrade. It is the compute backbone that serious AI infrastructure requires. Organizations running LLM training, HPC simulations, or multi-tenant inference platforms cannot afford underspecified hardware.

PCB Store carries the NVIDIA HGX B200 8-GPU SuperServer as part of their Server Barebone catalog within the broader Server and NAS category. Stock on enterprise GPU servers at this specification tier moves fast. Contact PCB Store directly for pricing, availability, and deployment configuration support tailored to your data center requirements in Bangladesh.