NVIDIA Tesla T4 16GB PCIe GPU for HPE ProLiant Gen10

The NVIDIA Tesla T4 16GB PCIe GPU for HPE ProLiant Gen10 (P10818-B21) is a professional-grade inference and AI acceleration card built on NVIDIA's Turing architecture. Equipped with 2,560 CUDA cores, 320 Tensor Cores (second-generation), and 8 RT Cores, the T4 delivers up to 65 TOPS of INT8 inferencing performance and 8.1 TFLOPS of FP32 compute within a 70W thermal design power envelope. Its 16GB of GDDR6 memory with a 256-bit memory interface provides 320 GB/s of memory bandwidth, enabling the simultaneous handling of large AI models and high-throughput data pipelines in production environments.

Engineered specifically for HPE ProLiant Gen10 server platforms, this factory-integrated option card is validated and qualified by HPE to ensure full compatibility with HPE's Intelligent Provisioning, iLO management, and ProLiant firmware ecosystem. The single-slot, low-profile PCIe 3.0 x16 form factor allows dense GPU deployment across a broad range of Gen10 rack and tower configurations, making it well-suited for organizations that must maximize accelerator density without expanding their physical footprint or significantly increasing power infrastructure requirements.

The T4 supports NVIDIA's multi-precision computing capabilities including FP32, FP16, INT8, and INT4 inference modes, enabling data science and DevOps teams to optimize model throughput and latency across diverse AI frameworks such as TensorFlow, PyTorch, and ONNX Runtime. It is also NVIDIA Virtual GPU (vGPU) software-capable, supporting virtual workstation, virtual PC, and AI/compute virtualization profiles, which makes it a versatile accelerator for mixed enterprise workloads spanning virtual desktop infrastructure, real-time analytics, and production AI inferencing.

Ideal for

• Production AI inference serving for natural language processing, image classification, and recommendation engine models in enterprise data centers
• GPU-accelerated virtual desktop infrastructure (VDI) deployments leveraging NVIDIA vGPU software for graphics-intensive and knowledge-worker virtual machines
• High-throughput video transcoding and real-time analytics pipelines requiring low-power, dense GPU deployment across HPE ProLiant rack servers
• Data science model training and experimentation workloads on HPE ProLiant Gen10 platforms integrated with MLOps toolchains
• Edge and regional data center AI inferencing where power-constrained environments demand maximum compute-per-watt efficiency
• Virtualized GPU compute environments in private cloud deployments requiring support for multiple concurrent AI and compute tenants via vGPU partitioning

Technical specifications

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