Wholesale Brand new Nvidia Tesla P100 16GB 12GB PCIE P100 SXM2 P40 P4 GPU HBM2 video accelerator card for ChatGPT AI HPC Data graphic card

$189.00 – $10,015.00

Key Highlights:

Tesla P100 16GB PCIe: Offers higher memory capacity and bandwidth, making it ideal for memory-intensive HPC and AI/ML workloads.
Tesla P100 12GB PCIe: Provides a cost-effective option for applications requiring slightly reduced memory and performance.
Tesla P100 SXM2: Designed for NVIDIA DGX systems and multi-GPU configurations, leveraging NVLink for fast inter-GPU communication.
Tesla P40: Optimized for deep learning inference, with high CUDA core count and GDDR5 memory for large model processing.
Tesla P4: Energy-efficient GPU suitable for edge AI and low-power environments, offering competitive inference performance at only 50W TDP.

NVIDIA Tesla P Series

NVIDIA Tesla P100 12GB PCIe
NVIDIA Tesla P100 16GB PCIe
NVIDIA Tesla P100 SXM2
NVIDIA Tesla P4
NVIDIA Tesla P40

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Wholesale Brand new Nvidia Tesla P100 16GB 12GB PCIE P100 SXM2 P40 P4 GPU HBM2 video accelerator card for ChatGPT AI HPC Data graphic card

Here’s a detailed comparison table for Tesla P100 16GB PCIe, Tesla P100 12GB PCIe, Tesla P100 SXM2, Tesla P40, and Tesla P4:

Feature	Tesla P100 16GB PCIe	Tesla P100 12GB PCIe	Tesla P100 SXM2	Tesla P40	Tesla P4
Architecture	NVIDIA Pascal	NVIDIA Pascal	NVIDIA Pascal	NVIDIA Pascal	NVIDIA Pascal
Memory Capacity	16GB HBM2	12GB HBM2	16GB HBM2	24GB GDDR5	8GB GDDR5
Memory Bandwidth	732 GB/s	549 GB/s	732 GB/s	346 GB/s	192 GB/s
CUDA Cores	3,584	3,584	3,584	3,840	2,560
Tensor Cores	N/A	N/A	N/A	N/A	N/A
Interface	PCIe Gen3	PCIe Gen3	SXM2	PCIe Gen3	PCIe Gen3
Form Factor	Dual-slot	Dual-slot	SXM2	Dual-slot	Single-slot
Power Consumption	250W	250W	300W	250W	50W
Peak FP32 Performance	10.6 TFLOPS	9.3 TFLOPS	10.6 TFLOPS	12 TFLOPS	5.5 TFLOPS
Peak FP64 Performance	5.3 TFLOPS	4.7 TFLOPS	5.3 TFLOPS	0.37 TFLOPS	0.17 TFLOPS
Target Workload	HPC, AI/ML, data analytics	HPC, AI/ML, data analytics	HPC, AI/ML, data analytics	Deep learning inference	Deep learning inference
Key Features	High memory capacity, ECC support	Balanced performance with reduced memory	High-performance NVLink support	Optimized for deep learning inference	Energy-efficient AI/ML inference
Use Case	High-performance computing, large datasets	HPC with moderate memory requirements	HPC with ultra-fast inter-GPU communication	AI/ML inference for large models	Edge AI/ML inference, low-power environments

NVIDIA Tesla P100 16GB PCIe

The NVIDIA Tesla P100 16GB PCIe, built on the NVIDIA Pascal architecture, is a powerful GPU optimized for HPC, AI/ML training, and large-scale data analytics. Featuring 3,584 CUDA cores and 16GB of HBM2 memory with a bandwidth of 732 GB/s, it excels at memory-intensive workloads, such as scientific simulations and deep learning training. With a peak FP32 performance of 10.6 TFLOPS and FP64 performance of 5.3 TFLOPS, the Tesla P100 16GB PCIe delivers exceptional computational power. Its PCIe Gen3 interface ensures broad compatibility with existing server infrastructure, making it a versatile choice for data centers.

NVIDIA Tesla P100 12GB PCIe

The NVIDIA Tesla P100 12GB PCIe provides the same computational power as its 16GB counterpart, with 3,584 CUDA cores and a peak FP32 performance of 9.3 TFLOPS. It features 12GB of HBM2 memory and a memory bandwidth of 549 GB/s, making it suitable for applications with moderate memory requirements, such as smaller-scale HPC tasks and AI/ML workloads. With a power consumption of 250W, the Tesla P100 12GB PCIe is a cost-effective solution for organizations looking to balance performance and budget in their GPU deployments.

NVIDIA Tesla P100 SXM2

The NVIDIA Tesla P100 SXM2 is engineered for high-density server environments and NVIDIA DGX systems. It offers 3,584 CUDA cores, 16GB of HBM2 memory, and a bandwidth of 732 GB/s. This variant supports NVIDIA NVLink, providing ultra-fast inter-GPU communication with up to 300 GB/s of bandwidth, enabling efficient scaling in multi-GPU configurations. With a power consumption of 300W, the Tesla P100 SXM2 is ideal for demanding HPC and AI/ML workloads that require high throughput and fast communication between GPUs.

NVIDIA Tesla P40

The NVIDIA Tesla P40 is a GPU designed specifically for deep learning inference workloads. With 3,840 CUDA cores, 24GB of GDDR5 memory, and a bandwidth of 346 GB/s, it excels at running large-scale AI models in real-time. Delivering up to 12 TFLOPS of FP32 performance, the P40 is ideal for tasks like natural language processing, image recognition, and recommendation systems. Its dual-slot PCIe form factor and 250W power consumption make it a robust choice for data centers focused on AI inference.

NVIDIA Tesla P4

The NVIDIA Tesla P4 is a compact, energy-efficient GPU tailored for edge AI and low-power environments. It features 2,560 CUDA cores, 8GB of GDDR5 memory, and a memory bandwidth of 192 GB/s. With a power consumption of just 50W, the Tesla P4 is optimized for inference workloads in constrained environments, such as video analytics, object detection, and conversational AI. Despite its low power requirements, it delivers up to 5.5 TFLOPS of FP32 performance, making it an excellent choice for scalable, real-time AI deployments.

NVIDIA Tesla P Series	NVIDIA Tesla P100 12GB PCIe, NVIDIA Tesla P100 16GB PCIe, NVIDIA Tesla P100 SXM2, NVIDIA Tesla P4, NVIDIA Tesla P40

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