HPE NVIDIA A100 SXM4 80GB GPU for HPE Cray EX

HPE NVIDIA A100 SXM4 80GB GPU for HPE Cray EX

Brand: HPE | Category: GPUs

SKU: P40433-B21 | Part #: P40433-B21 | MPN: P40433-B21

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About the HPE NVIDIA A100 SXM4 80GB GPU for HPE Cray EX

This HPE GPU delivers 80 GB of HBM2e memory with 2 TB/s bandwidth, engineered for the HPE Cray EX supercomputing platform. The NVIDIA A100 SXM4 GPU accelerates compute-intensive enterprise workloads with 3rd Generation Tensor Cores supporting FP16, BF16, TF32, FP64, INT8, and INT4 precision formats. Peak performance reaches 312 TFLOPS for FP16 and BF16 operations, 156 TFLOPS for TF32, and 19.5 TFLOPS for FP64 Tensor Core workloads. The SXM4 form factor integrates seamlessly into HPE Cray EX blade systems with liquid cooling, optimized thermal management at 400W TDP, and NVLink 3.0 interconnect delivering 600 GB/s bidirectional bandwidth for multi-GPU scaling.

HPE's A100 SXM4 80GB (part number P40433-B21) supports Multi-Instance GPU (MIG) technology, partitioning each accelerator into up to 7 independent instances for workload isolation and resource efficiency. PCIe Gen 4 connectivity ensures modern I/O performance. Infrastructure teams and AI research groups benefit from this GPU's balanced architecture, which handles both traditional scientific computing and emerging AI/ML applications without compromise. For IT procurement teams evaluating next-generation supercomputing or high-performance data center upgrades, this accelerator represents a proven, enterprise-grade solution.

Deployment Scenarios

  • Large-scale AI model training and inference on HPE Cray EX systems requiring high memory bandwidth and multi-GPU coherence
  • Scientific simulation and computational fluid dynamics leveraging FP64 Tensor Core performance (19.5 TFLOPS) for physics accuracy
  • Data analytics and machine learning workloads optimized for mixed-precision operations across FP16, BF16, and TF32 formats
  • Multi-tenant research environments using MIG partitioning to isolate workloads across up to 7 independent GPU instances
  • High-performance computing (HPC) clusters requiring NVLink 3.0 communication at 600 GB/s for tightly coupled distributed applications

Contact Omnixon Global to discuss integration options and request an RFQ for HPE NVIDIA A100 SXM4 80GB GPU solutions.

Technical Specifications

BrandHPE
CategoryGPUs
SKUP40433-B21
Part NumberP40433-B21
ConditionNew
Manufacturer Part NumberP40433-B21
GPU ModelNVIDIA A100 SXM4 80GB
GPU ArchitectureNVIDIA Ampere
Form FactorSXM4
Compatible PlatformHPE Cray EX
GPU Memory80 GB HBM2e
Memory Bandwidth2 TB/s
InterconnectNVLink 3.0
NVLink Bandwidth600 GB/s bidirectional
Tensor Core Generation3rd Generation (supports FP16, BF16, TF32, FP64, INT8, INT4)
FP64 Peak Performance9.7 TFLOPS
FP64 Tensor Core Peak Performance19.5 TFLOPS
FP16 Tensor Core Peak Performance312 TFLOPS
BF16 Tensor Core Peak Performance312 TFLOPS
TF32 Tensor Core Peak Performance156 TFLOPS
Multi-Instance GPU (MIG) SupportYes, up to 7 MIG instances
PCIe InterfacePCIe Gen 4
Thermal DesignLiquid-cooled (HPE Cray EX blade integrated)
Maximum Thermal Design Power (TDP)400W
ECC SupportYes

Frequently Asked Questions about HPE NVIDIA A100 SXM4 80GB GPU for HPE Cray EX

What server platforms accept the HPE NVIDIA A100 SXM4 80GB GPU for HPE Cray EX?

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.