NVIDIA Infrastructure

Introducing NVIDIA HGX B200
The eight-GPU Blackwell powerhouse redefining AI scale. From 15× faster inference and 3× faster training to game-changing efficiency and rack-scale design, it’s not just a server baseboard - it’s your enterprise's launchpad for next-gen generative AI.

Why the HGX B200 Sets the Standard

Key Advantage Impact

• 15× inference / 3× training speed Supercharges AI model performance at scale
• 1.4 TB memory & 64 TB/s bandwidth Handles massive datasets with ease
• 12× energy efficiency Cuts costs and keeps operations green
• Scalable rack architectures Built to support future growth—without reengineering
• Rich software stack Ensures fast adoption, ease-of-use, and enterprise-grade robustness
• Proven in data centre deployments Trusted by vendors and cloud partners alike

Data sheet(s)

NVIDIA Servers

Powered by H200 multi-precision Tensor Cores, the eight-way HGX H200 unleashes over 32 peta-FLOPS of FP8 deep learning performance and more than 1TB of lightning-fast HBM memory which delivers unmatched speed and efficiency for the most demanding highest performance for generative AI and HPC workloads

The H200 SMX5 format with NVLink high-speed interconnects between the GPUs designed for dense GPU-to-GPU interconnects with NVIDIA HGX 200 partner and NVIDIA certified and approved servers with 4 or 8 GPUs.

NVIDIA Components

Unlock blazing visualization and AI power with the NVIDIA L40—Ada Lovelace-driven, petaflop-capable, and secure for 24/7 enterprise performance. It’s more than a GPU—it’s a multi-workload turbo-engine for the modern data centre.

L40 succeeds A40, The A40 (Ampere architecture) was designed as a data centre GPU for professional visualization, rendering, AI, and virtualization workloads. The L40 (Ada Lovelace architecture) takes over that role, bringing major improvements in ray tracing, Tensor Core performance (including FP8), memory bandwidth, and media engines (with AV1 support).

Why NVIDIA L40 Stands Out

• Lightning-fast visuals & AI—Double the ray-tracing, FP8 inferencing, NVIDIA's newest architecture.
• Built for enterprise—Rock-solid reliability, passive cooling, and data centre compliance.
• Multi-role mastery—From virtual workstations and gaming-quality graphics to deep AI training and live video stream processing.
• Future-ready flexibility—Perfect for cloud deployment, creative studios, engineering teams, and AI developers.
• Exceptional Multi-Workload Capabilities
• Versatile Performance: Built on NVIDIA’s Ada Lovelace architecture, the L40 delivers premium graphics, compute, AI, and virtualization performance across data centre workloads.
• Double the Ray Tracing Power: With third-generation RT Cores, it achieves up to 2× the real-time ray-tracing performance of its predecessor—perfect for interactive rendering and photorealistic design workflows.

Supercharged Compute & AI Performance

• Cutting-Edge Tensor Cores: The fourth-generation Tensor Cores with FP8 support deliver over 1 petaflop of inference performance, supercharging deep learning and AI pipelines.
• Memory-Driven Throughput: Equipped with 48 GB GDDR6 ECC memory and wide 864 GB/s bandwidth, it handles complex data-intensive tasks with ease.
• Engineered for Enterprise-Grade Reliability
• Data Centre Ready: Designed for 24/7 operations, the L40 includes features like Secure Boot with internal root of trust, passive cooling, and NEBS Level 3 compliance—ensuring both security and endurance in critical environments.
• Compact & Efficient Design: Packaged in a dual-slot, full-height (4.4" H × 10.5" L) form factor, it fits seamlessly into industry-standard servers and certified systems.

Scalability & Application Versatility

• Ideal for Omniverse: As the backbone of NVIDIA Omniverse Enterprise, the L40 excels in powering XR, virtual reality, digital twins, and collaborative 3D environments—with accelerated ray-traced simulations and realistic synthetic rendering.
• Seamless Virtualization: When paired with RTX Virtual Workstation (vWS) or vGPU software like vPC and vApps, it enables secure, high-performance virtual workstations across devices—empowering remote creative professionals.
• Comprehensive AI & Data Workflows: Ideal for AI training, inference, data science, streaming, and content pipelines, with FP8-ready Tensor Cores and robust NVENC/NVDEC capabilities, including AV1 encoding/decoding.

Data sheet(s)

NVIDIA Components

The NVIDIA L4 Tensor Core GPU delivers powerful acceleration for AI inference, video analytics, and graphics rendering, all in a low-profile, low-power PCIe form factor. It’s the ideal solution for modern workloads across cloud, enterprise, and edge data centers. Up to 4× faster inference throughput than the previous NVIDIA T4.

Compact yet capable: up to 120× better AI inference performance than CPU-only systems.

Why Choose NVIDIA L4?

• Hyperscalers deploying multi-instance inferenc
• Enterprises needing high-efficiency AI servers
• System builders delivering compact, low-power solutions
• CSPs offering GPU-accelerated VDI & graphics
• Energy Efficient 72W TDP makes it easy to deploy at scale
• Flexible Drop-in PCIe design, compatible with 1U servers
• Smart NVIDIA AI software stack (TensorRT, Triton, CUDA, etc.) fully supported
• Video-Optimized – Best-in-class AV1 encoding for media workloads

Key Differentiators:

• Capability NVIDIA T4 NVIDIA L4
• GPU architecture Turing Ada Lovelace
• Tensor Cores 320 (older gen) 232 (4th Gen)
• FP8 Support ✘ ✔
• Video Encode H.264/HEVC H.264/HEVC + AV!
• Memory 16 GB 24 GB
• Power 70W 72W

Data sheet(s)

NVIDIA HPC

The NVIDIA H100 GPU delivers exceptional performance, scalability, and security for every workload.

This H100 GPU was the successor to the NVIDIA A100 GPU, representing a significant step forward in processing power and new technologies for data centre, AI, and high-performance computing applications. The H100 builds upon the Ampere architecture of the A100, introducing the Hopper architecture with key improvements like the Transformer Engine for accelerated AI training, enhanced memory configurations, and more processing power.

NVIDIA AI Enterprise Software Suite
The H100 for mainstream servers comes with a five-year subscription. It includes enterprise support to the NVIDIA AI Enterprise software suite and simplifying AI adoption with the highest performance. This ensures organizations have access to the AI frameworks and tools they must build H100-accelerated AI workflows such as AI chatbots, recommendation engines, vision AI, and more.

Data sheet(s)

NVIDIA Network

Unleash next-generation performance with the NVIDIA Quantum-X800 family, built for the scale of modern AI and HPC.

Q3200-RA (2U): Compact, air-cooled, and versatile. With two independent 36-port switches at 800Gb/s, it’s ideal for smaller platforms or bridging new compute clusters with existing Quantum/Quantum-2 InfiniBand infrastructure.

They feature a dedicated in-band management port for NVIDIA UFM®, simplifying port allocation and topology design. With optional router capabilities, Quantum-X800 switches scale seamlessly across data centres and sites.