NVIDIA unveils the H200 AI chip, featuring 141GB memory and HBM3e technology for enhanced inference tasks. With a 1.4 to 1.9 times performance boost over its predecessor, the H200 offers unparalleled.
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Semiconductor industry leader NVIDIA introduced the H200, the latest artificial intelligence chip series iteration. Designed to cater to training and deployment needs across diverse AI models, the H200 marks a significant advancement in computational power.
Building upon the foundation laid by its predecessor, the H100 chip, renowned for training cutting-edge large-scale language models, the H200 boasts notable upgrades. With a whopping 141GB of memory, the focus of the H200 lies in executing "inference" tasks. Notably, the H200 demonstrates a 1.4 to 1.9 times performance improvement in tasks involving reasoning or generating answers compared to the H100.
The H200 leverages NVIDIA's groundbreaking "Hopper" architecture, distinguishing itself as the company's maiden chip to incorporate HBM3e memory. This next-generation memory solution, renowned for its speed and capacity, makes the H200 particularly well-suited for large language models.
Notably, NVIDIA's pricing strategy for the H200 hints at a deliberate effort to address the concerns of customers who recently invested in the H100 accelerator. By setting the price of the H200, equipped with 141GB HBM3e memory, at 1.5 to 2 times that of the 80GB or 96GB HBM3 memory version, NVIDIA seeks to balance the scales for those who might feel "wronged" by the rapid advancement.
Performance-wise, the H200 outshines its predecessor primarily in handling inference tasks for large models. For instance, when processing complex language models like Llama 2, the H200 demonstrates nearly double the inference speed compared to the H100.
Moreover, the significant performance boost achieved by the H200 within the same power range translates to a notable reduction in energy consumption and total cost of ownership. With enhanced memory capacity and bandwidth, NVIDIA appears poised to align the pricing of the H200 GPU with that of the H100, ushering in a new era of affordability without compromising performance.
Looking ahead, NVIDIA's roadmap hints at continued innovation, with the anticipated release of the "Blackwell" GB100 GPU and B100 GPU in 2024. It is speculated that these forthcoming products will leverage advancements in-memory technology to deliver substantial performance gains, setting the stage for further evolution in the AI chip landscape.
As the industry navigates this period of rapid technological advancement, one thing remains clear: the future of AI computing is intrinsically linked to the relentless pursuit of innovation and efficiency. With the H200 GPU accelerator and Grace-Hopper super chip poised for launch in mid-2024, NVIDIA reaffirms its commitment to pushing the boundaries of AI computing, promising enhanced performance and capabilities for AI-driven applications across diverse domains.
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