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Brand new Nvidia H100 PCIE 80GB 48GB H100 SXM H100 CNX AND h100 NVL AI training and inference HPC GPU graphic card

$27,000.00$44,950.00

Key Differences:

  • Memory and Bandwidth: The H100 NVL offers the highest memory capacity and bandwidth, suitable for large-scale AI models. The PCIe 80GB and SXM models provide substantial memory and bandwidth for demanding tasks, while the PCIe 48GB model is tailored for less intensive applications.
  • Compute Performance: The SXM model delivers superior performance due to its higher power envelope, making it ideal for large-scale AI training. The NVL model, with its dual-GPU configuration, excels in large language model inference.
  • Power Consumption: The SXM and NVL models consume more power, reflecting their higher performance capabilities. The PCIe models are more power-efficient, fitting standard server configurations.
  • Interface and Form Factor: The SXM model requires specialized infrastructure, while the PCIe models offer broader compatibility with existing systems. The CNX model integrates advanced networking, beneficial for distributed workloads.
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Brand new Nvidia H100 PCIE 80GB 48GB H100 SXM H100 CNX AND h100 NVL AI training and inference HPC GPU graphic card

Here’s a detailed comparison of NVIDIA’s H100 series GPUs, focusing on the PCIe 80GB, PCIe 48GB, SXM, CNX, and NVL models.
Specification H100 PCIe 80GB H100 PCIe 48GB H100 SXM H100 CNX H100 NVL
Form Factor Dual-slot PCIe card Dual-slot PCIe card SXM Module PCIe card with integrated ConnectX-7 NIC Dual PCIe cards with NVLink bridge
Memory 80GB HBM3 48GB HBM3 80GB HBM3 80GB HBM3 188GB HBM3 (94GB per card)
Memory Bandwidth 2 TB/s 1.5 TB/s 3 TB/s 2 TB/s 7 TB/s (combined)
Compute Performance – FP64: 67 TFLOPS
– FP32: 67 TFLOPS
– Tensor (FP16/TF32): ~2 PFLOPS
– FP64: Slightly lower than 80GB version
– FP32: Slightly lower
– Tensor: Slightly lower
– FP64: 67 TFLOPS
– FP32: 67 TFLOPS
– Tensor: ~3 PFLOPS
Similar to H100 PCIe 80GB – FP64: Combined performance
– FP32: Combined performance
– Tensor: ~4 PFLOPS (combined)
Power Consumption 350W 300W Up to 700W 350W 700W (combined)
Interface PCIe 5.0 PCIe 5.0 SXM5 PCIe 5.0 with integrated networking PCIe 5.0 with NVLink bridge
Target Applications High-performance computing, AI training and inference AI inference, medium-scale training Large-scale AI training, HPC AI workloads requiring high-speed networking Large language model inference, massive AI workloads
Approximate Price $30,970.79

Not widely available; expected to be lower than 80GB version Approximately $34,768

Pricing varies; consult NVIDIA partners Approximately $44,999

 

NVIDIA H100 PCIe 80GB

The H100 PCIe 80GB is a high-performance GPU designed for AI training, inference, and HPC workloads. Equipped with 80GB of HBM3 memory and a memory bandwidth of 2TB/s, it supports large-scale data processing and complex model training. The PCIe 5.0 interface ensures compatibility with a wide range of servers and workstations, making it an ideal choice for general-purpose high-performance computing. With a power consumption of 350W, it delivers 67 TFLOPS of FP64 performance and up to 2 PFLOPS of tensor core acceleration.


NVIDIA H100 PCIe 48GB

The H100 PCIe 48GB offers a cost-effective alternative to its 80GB counterpart, designed for medium-scale AI and inference tasks. It features 48GB of HBM3 memory with a memory bandwidth of 1.5TB/s, balancing performance and power efficiency. Its PCIe 5.0 interface ensures compatibility with standard server infrastructures. Consuming just 300W of power, it delivers reliable performance for AI inference, lightweight training workloads, and smaller-scale HPC applications.


NVIDIA H100 SXM

The H100 SXM is the flagship model in the H100 series, built for large-scale AI training and HPC tasks. It boasts 80GB of HBM3 memory with an unmatched 3TB/s memory bandwidth and peak tensor performance of 3 PFLOPS. The SXM form factor allows it to leverage up to 700W of power, maximizing compute efficiency. Designed for deployment in data centers with SXM-compatible servers, it is tailored for extreme workloads like 8K video processing, large language models, and real-time analytics.


NVIDIA H100 CNX

The H100 CNX combines the power of the H100 GPU with NVIDIA’s ConnectX-7 networking technology. This unique integration enables high-speed networking alongside 80GB of HBM3 memory with a bandwidth of 2TB/s. The PCIe 5.0 form factor ensures easy deployment in data centers requiring efficient communication between distributed systems. With 350W power consumption, the H100 CNX is ideal for workloads like distributed training, high-performance networking, and AI inference requiring fast data exchange.


NVIDIA H100 NVL

The H100 NVL is designed for massive AI workloads and large language model inference. Featuring a dual-GPU configuration linked via NVLink, it offers a combined memory capacity of 188GB HBM3 and an extraordinary 7TB/s memory bandwidth. It provides up to 4 PFLOPS of tensor performance, making it ideal for handling enormous datasets and highly complex models. With a total power consumption of 700W, the H100 NVL excels in delivering cutting-edge performance for next-gen AI applications.

NVIDIA H100 series

NVIDIA H100 CNX, NVIDIA H100 NVL, NVIDIA H100 PCIe 48GB, NVIDIA H100 PCIe 80GB, NVIDIA H100 SXM

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