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00:00:00 – 00:12:59
The video discusses Nvidia's innovative advancements in GPU technology, particularly focusing on the Nvidia Grace Blackwell Super Chips and the powerful GPUs integrated into racks. Key points include the use of liquid cooling, massive memory capacities, power optimization, and impressive training power. Nvidia aims to enhance gaming experiences and revolutionize industries like healthcare with machine learning applications. Additionally, Nvidia offers pre-trained AI models called Nims for various use cases. The video also briefly mentions sponsors Ridge and Back Blaze. The monthly cost of Back Blaze starts at $9, with a free trial offered. Overall, the video emphasizes the cutting-edge technology and practical applications of Nvidia's GPU advancements.
00:00:00
In this segment of the video, the speaker showcases a GPU with 36 Nvidia Grace Blackwell Super Chips costing over $3 million. While not practical for most users, the technologies introduced by Nvidia are highlighted to benefit gamers. The focus is on the GB200 super chip, which features new and exciting elements like ultra-fast interconnects allowing multiple GPUs to act as a single super chip. Nvidia aims to enhance gaming experiences with these advancements. The video also briefly mentions a sponsor, Ridge, offering a sale on Father’s Day gifts. Additionally, Nvidia’s secretive b200 Blackwell GPU is discussed, expected to reach around 10 petaflops at fp8 sparse.
00:03:00
In this part of the video, the speaker discusses the specifications of the new generation GPUs, including the use of liquid cooling, 192 GB of HBM 3E memory, 8 TB/s memory speed, 1.8 TB/s Envy link, and a total power draw of 2700 Watts for the super chip. The cost to run a rack with 18 Blackwell compute nodes is mentioned at $30 an hour or approximately $4 million per year. The spline is described as having 5,000 wires totaling 2 miles and optimizing latency and power efficiency. The entire system consists of 72 Blackwell GPUs, 2600 gray CPU cores, and 132 TB of memory. The setup’s optimization is highlighted for achieving 720 pedop flops of fp8 training, 30 times faster results than the previous generation, utilizing perfect linear scaling, and emphasizing the importance of symmetrical layouts for improved signal timing.
00:06:00
In this segment of the video, Nvidia’s innovative approach to integrating powerful GPUs into racks is highlighted. The discussion focuses on a massive power-hungry single GPU concept, with a particular emphasis on the MGX and MG-HGX reference designs. The MG-HGX setup comprises eight Blackwell B200 GPUs with 1.44 terabytes of GPU memory, designed for compatibility with partner systems like Super Micro. The system, capable of delivering 72 petaflops of FPA training power while consuming around 10,000 Watts, underscores Nvidia’s advancement in GPU technology. The segment further delves into the hardware networking products Nvidia offers, featuring an Ethernet switch with impressive capabilities. Lastly, the practical applications of these powerful systems, such as healthcare advancements with machine learning for drug development and ultrasound image identification, are briefly discussed.
00:09:00
In this segment of the video, the speaker discusses Nvidia’s Nims, which are pre-trained and pre-optimized containerized AI models that can be downloaded and deployed for various use cases. They highlight a demonstration of using Nims for automatic mapping of speech to mouth animations and facial expressions in game development. Additionally, the speaker showcases how Nims can be used for automatic speech recognition, facial animations, and generating context-specific information in storytelling, addressing concerns about AI taking away jobs from human writers. The segment also touches on image recognition and voice-to-text capabilities running locally on RTX series GPUs. Furthermore, the video briefly mentions a sponsor, Back Blaze, an affordable cloud backup solution.
00:12:00
In this segment of the video, the main points covered include how to retrieve data with the option of having it sent on a physical hard drive. Users can increase their retention history for free, benefit from Advanced admin controls for security, scalability, and ransomware resilience. Backblaze manages over three exabytes of data and is trusted by over half a million customers. The monthly cost starts at $9, offering peace of mind with a free 15-day trial. The speaker also encourages viewers to watch other related videos from Computex showcasing CPUs and Super Chips.