NVIDIA H100 80GB PCIe Gen5 Passive GPU for HPE ProLiant DL380 Gen11 (EMEA SKU)

NVIDIA H100 80GB PCIe Gen5 Passive GPU for HPE ProLiant DL380 Gen11 (EMEA SKU)

Brand: HPE | Category: GPUs

SKU: P53863-B21#ABB | Part #: P53863-B21#ABB | MPN: P53863-B21#ABB

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About the NVIDIA H100 80GB PCIe Gen5 Passive GPU for HPE ProLiant DL380 Gen11 (EMEA SKU)

The NVIDIA H100 80GB PCIe Gen5 Passive GPU for HPE ProLiant DL380 Gen11 (P53863-B21#ABB) is a factory-integrated, HPE-validated accelerator built on NVIDIA's Hopper architecture. Manufactured on TSMC 4N process technology, the H100 PCIe delivers 51 TFLOPS of FP64 double-precision compute, 3.35 petaOPS of INT8 Transformer Engine performance, and 4th-generation Tensor Cores capable of handling mixed-precision workloads at scale. The passive thermal design is engineered specifically for controlled datacenter environments where chassis airflow is managed by the host server's cooling infrastructure, as is the case in the HPE ProLiant DL380 Gen11 rack platform.

With 80GB of HBM2e memory operating at 3.35 TB/s of memory bandwidth, this GPU is purpose-built to handle the large model parameter counts and high-throughput data movement demands of generative AI inference and training, large-scale scientific simulation, and advanced analytics. The NVLink 4.0 interconnect fabric and PCIe Gen5 host interface together ensure that the accelerator can sustain the high bi-directional bandwidth required for multi-GPU configurations and CPU-to-GPU data pipelines common in modern AI infrastructure. The H100's Confidential Computing capability, underpinned by hardware-enforced Trusted Execution Environments, adds an enterprise-grade security layer critical for regulated industries.

As an EMEA-region SKU (suffix #ABB), P53863-B21 is validated and supported within HPE's ProLiant server ecosystem, ensuring firmware compatibility, integrated thermal management, and HPE iLO telemetry visibility for the accelerator. This makes it a deployment-ready option for enterprises across the UAE, GCC, EMEA, and APAC regions seeking to build or expand GPU-accelerated AI, HPC, and data analytics infrastructure on a proven, hyperscale-grade platform.

Ideal for

  • Large language model (LLM) training and fine-tuning for enterprise generative AI platforms requiring high HBM2e capacity and Transformer Engine acceleration
  • High-performance inference serving for real-time AI applications including recommendation engines, natural language processing APIs, and computer vision pipelines
  • Computational fluid dynamics (CFD), molecular dynamics, and finite element analysis simulations in life sciences, energy, and engineering verticals
  • Confidential AI workloads in regulated industries such as financial services and healthcare, leveraging H100 hardware Trusted Execution Environments
  • GPU-accelerated data analytics and ETL processing on large datasets using frameworks such as RAPIDS, enabling in-datacenter acceleration without dedicated HPC clusters
  • Multi-tenant AI-as-a-Service infrastructure deployments where HPE ProLiant DL380 Gen11 chassis standardization simplifies rack integration and operational management

Technical specifications

ManufacturerHPE
Manufacturer Part NumberP53863-B21#ABB
GPU ModelNVIDIA H100 80GB PCIe
ArchitectureNVIDIA Hopper (GH100)
Process NodeTSMC 4N
CUDA Cores16896
Tensor Cores4th Generation (526 Tensor Cores)
GPU Memory80 GB HBM2e
Memory Bandwidth2 TB/s
Host InterfacePCIe Gen5 x16
FP64 Performance51 TFLOPS
FP32 Performance51 TFLOPS
FP16 Tensor Core Performance1513 TFLOPS (with Sparsity)
INT8 Tensor Core Performance3026 TOPS (with Sparsity)
Thermal DesignPassive (requires managed chassis airflow)
Supported Server PlatformHPE ProLiant DL380 Gen11
Board Power (TDP)350 W
NVLink SupportNVLink 4.0 (peer-to-peer, not NVSwitch)
Form FactorFull-height, Full-length (FHFL) dual-slot PCIe card
Confidential ComputingYes — hardware Trusted Execution Environment (TEE)
Region SKUEMEA (#ABB)

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.

Technical Specifications

BrandHPE
CategoryGPUs
SKUP53863-B21#ABB
Part NumberP53863-B21#ABB
ConditionNew
Manufacturer Part NumberP53863-B21#ABB
GPU ModelNVIDIA H100 80GB PCIe
ArchitectureNVIDIA Hopper (GH100)
Process NodeTSMC 4N
CUDA Cores16896
Tensor Cores4th Generation (526 Tensor Cores)
GPU Memory80 GB HBM2e
Memory Bandwidth2 TB/s
Host InterfacePCIe Gen5 x16
FP64 Performance51 TFLOPS
FP32 Performance51 TFLOPS
FP16 Tensor Core Performance1513 TFLOPS (with Sparsity)
INT8 Tensor Core Performance3026 TOPS (with Sparsity)
Thermal DesignPassive (requires managed chassis airflow)
Supported Server PlatformHPE ProLiant DL380 Gen11
Board Power (TDP)350 W
NVLink SupportNVLink 4.0 (peer-to-peer, not NVSwitch)
Form FactorFull-height, Full-length (FHFL) dual-slot PCIe card
Confidential ComputingYes — hardware Trusted Execution Environment (TEE)
Region SKUEMEA (#ABB)

Frequently Asked Questions about NVIDIA H100 80GB PCIe Gen5 Passive GPU for HPE ProLiant DL380 Gen11 (EMEA SKU)

What server platforms accept the NVIDIA H100 80GB PCIe Gen5 Passive GPU for HPE ProLiant DL380 Gen11 (EMEA SKU)?

Reference servers include Dell PowerEdge XE9680 / XE9712, HPE Cray XD670, Lenovo ThinkSystem SR685a / SR675 V3, Supermicro AS-A21GE / SYS-821GE, Gigabyte G593 / G894, ASUS ESC. Share your target platform in the RFQ and we will confirm chassis-to-GPU compatibility and recommended NIC pairing.

How long is the lead time on AI GPUs?

Highly model-dependent. L40S / RTX-class: typically 3-6 weeks. H100/H200/B200 in SXM form factor: 12-16 weeks for whole-platform allocations. We quote genuine-channel ETAs only — no grey-market promises.

Do you supply matched networking (Quantum InfiniBand / Spectrum-X)?

Yes — Omnixon stocks the full NVIDIA networking lineup (Quantum-2 / Quantum-X InfiniBand, Spectrum-X Ethernet, ConnectX NICs, BlueField DPUs) so we can quote a complete training-cluster BOM, not just the GPUs.

Can you help with NVIDIA AI Enterprise licensing?

Yes. We hold genuine-channels for NVIDIA AI Enterprise software subscriptions. Add it to your RFQ and we quote node-aligned licensing along with the hardware.