Nvidia has announced the H200, a high-end chip designed for training AI models, with enhanced performance in inference. The chip is expected to be shipped in the second quarter of 2024 and will be compatible with existing systems using the H100. Nvidia’s stock has seen a 230% increase in 2023 due to the excitement around its AI GPUs. However, the H200’s position as the fastest Nvidia AI chip might not last long, as the company plans to release a new chip, the B100, in 2024.
Nvidia unveils its new flagship chip, the H200, available in early 2024
Nvidia recently announced the H200, its latest high-end chip designed specifically for training AI models. This GPU comes equipped with 141GB of next-generation “HBM3” memory, which greatly enhances the capabilities of AI models.
The H200 is an upgrade from its predecessor, the H100, which has played a significant role in the AI ecosystem. The market response to Nvidia’s AI GPUs has been remarkable, with a stock increase of 230% in 2023. Nvidia is projecting around $16 billion in revenue for its fiscal third quarter, a 170% increase from the previous year.
One of the key features of the H200 is its improved performance in the inference phase of AI models. Inference involves using a trained AI model to make predictions or decisions based on new, unseen data. Early data suggests that the H200 performs nearly twice as well as the H100, as demonstrated by Meta’s Llama 2 large language model (LLM) benchmarks.
Expected to be available in the second quarter of 2024, the H200 is likely to receive substantial orders from AI companies worldwide, except in China, Iran, and Russia due to US AI hardware export bans. The H200 is compatible with existing systems that use the H100, allowing AI companies to upgrade without changing their server systems or software.
The H200 will be offered in four-GPU or eight-GPU server configurations on Nvidia’s HGX complete systems. It will also be available as a separate chip called GH200, which pairs the H200 GPU with an Arm-based processor.
However, Nvidia’s position as the leader in AI chips may be short-lived. Due to high demand, Nvidia plans to adopt yearly release patterns to maintain its dominance in the AI industry. Another chip, the B100, based on the new Blackwell architecture is already in the works and might be announced and released in 2024.
For companies looking to embrace AI and stay competitive, the H200 chip presents an excellent opportunity. Here are some practical steps to leverage AI effectively:
1. Identify Automation Opportunities:
Locate key customer interaction points that can benefit from AI.
2. Define KPIs:
Ensure that your AI initiatives have measurable impacts on business outcomes.
3. Select an AI Solution:
Choose tools that align with your needs and provide customization.
4. Implement Gradually:
Start with a pilot program, gather data, and expand AI usage judiciously.
For expert advice on AI KPI management, connect with us at hello@itinai.com. Stay updated with the latest insights on leveraging AI by following us on Telegram t.me/itinainews or Twitter @itinaicom.
Spotlight on a Practical AI Solution: AI Sales Bot
Consider the AI Sales Bot from itinai.com/aisalesbot. This solution is designed to automate customer engagement 24/7 and manage interactions at every stage of the customer journey.
Discover how AI can redefine your sales processes and customer engagement. Explore solutions at itinai.com.
