The Tesla A800 Workstation GP is a high-performance NVIDIA GPU for workstation compute workloads. Based on the provided specs, it offers 80GB of graphics memory, a 320-bit memory interface, FP32 performance of 31.2 teraFLOPS, and a PCIe Gen4 interconnect with 64 GB/s aggregate bandwidth.
The A800 is specified with 80 GB of graphics memory.
The GPU uses a 320-bit memory interface as listed in the product description.
The A800 delivers approximately 31.2 teraFLOPS of FP32 (single-precision) compute performance according to the provided information.
The card uses PCIe Gen4 with an aggregate (bidirectional) bandwidth of 64 GB/s. This corresponds to the PCIe Gen4 x16 link specification; check the system's slot and motherboard compatibility for optimal performance.
Tesla-series GPUs are primarily designed for compute, AI, and HPC workloads and often lack video display outputs or gaming-focused drivers and optimizations. The A800 is not generally recommended as a gaming GPU—use it for compute, rendering, training, and inference tasks instead.
Yes—NVIDIA Tesla GPUs are built to support CUDA and the NVIDIA compute ecosystem (CUDA Toolkit, cuDNN, etc.). For exact driver versions and software support, consult NVIDIA's driver documentation and the product datasheet.
Multi-GPU configurations are commonly supported via PCIe. Support for GPU-to-GPU interconnects such as NVLink is not specified in the provided description—check the detailed product specification or vendor datasheet to confirm NVLink or other direct-GPU interconnect availability.
The product description does not list physical dimensions, slot width, or power draw. Tesla-class cards are typically full-height, multi-slot cards and can have significant power requirements. Check the official datasheet or vendor listing for exact TDP, required auxiliary power connectors, and card dimensions before installation.
NVIDIA Tesla GPUs are supported on major operating systems via NVIDIA's data center and workstation drivers (Linux and Windows). For exact driver versions and OS compatibility, refer to NVIDIA's driver download pages and the A800 product documentation.
The A800 is optimized for high-performance compute workloads such as AI training and inference, data science, large-scale simulation, GPU-accelerated rendering, and other HPC tasks that benefit from large memory capacity and strong FP32 performance.
The provided description does not specify the memory type (for example HBM or GDDR). Consult the official product datasheet or vendor page for exact memory technology details.
For complete technical specifications, compatibility, thermal and power requirements, and detailed features (such as NVLink support), refer to the official NVIDIA product datasheet or the vendor's product page. If you purchased from a reseller, their listing or support team can also provide full specs.
Warranty and support terms are not included in the provided description. Warranty length and support options depend on the seller or the channel (direct from NVIDIA, OEM, or reseller). Check your purchase documentation or contact the vendor for warranty and service details.
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