AMD’s Post

This is exciting - if you like technology advancements. This announcement will be the best 16 minutes you spend on YouTube. Nvidia 2024 AI Event: Everything Revealed in 16 Minutes. American semiconductor company NVIDIA introduced its latest AI chips at the GPU Technology Conference (GTC) 2024, signaling its resolve to keep charging ahead in a race where it already is in the lead by miles, rather, trillions. Fifth-generation NVLink vastly improves scalability for larger multi-GPU systems. A single NVIDIA Blackwell Tensor Core GPU supports up to 18 NVLink 100 gigabyte-per-second (GB/s) connections for a total bandwidth of 1.8 terabytes per second (TB/s)—2X more bandwidth than the previous generation and over 14X the bandwidth of PCIe Gen5. Server platforms like the GB200 NVL72 use this technology to deliver greater scalability for today’s most complex large models. Source: https://lnkd.in/gcmKrZJd 

This is exciting - if you like technology advancements. This announcement will be the best 16 minutes you spend on YouTube. Nvidia 2024 AI Event: Everything Revealed in 16 Minutes. American semiconductor company NVIDIA introduced its latest AI chips at the GPU Technology Conference (GTC) 2024, signaling its resolve to keep charging ahead in a race where it already is in the lead by miles, rather, trillions. Fifth-generation NVLink vastly improves scalability for larger multi-GPU systems. A single NVIDIA Blackwell Tensor Core GPU supports up to 18 NVLink 100 gigabyte-per-second (GB/s) connections for a total bandwidth of 1.8 terabytes per second (TB/s)—2X more bandwidth than the previous generation and over 14X the bandwidth of PCIe Gen5. Server platforms like the GB200 NVL72 use this technology to deliver greater scalability for today’s most complex large models. Source: https://lnkd.in/gVMbMzFk

According to #Nvidia, the #H200 is the first #GPU to offer HBM3e memory. Thanks to #HBM3e, the H200 offers 141GB of memory and 4.8 terabytes per second #bandwidth, which Nvidia says is 2.4 times the memory bandwidth of the Nvidia #A100 released in 2020

Introducing the 2nd generation Versal Adaptive SoCs.

Highlights from the COMPUTEX 2024 Keynote by #nvidia CEO Jensen Huang. Topics include @NVIDIA's insane Blackwell B100 GPUs, the announcement of Blackwell Ultra in 2025, NVIDIA Rubin GPUs in 2026, NVIDIA Rubin Ultra GPUs in 2027, advanced AI networking technologies like NVIDIA's NVLink and Spectrum-X Ethernet, how they all come together to power generative AI technologies like #chatgpt and #sora by #openai and reshape computing as we know it. https://lnkd.in/gDxtn4fV

Want the power of Vision Transformers without the hefty computational cost? NVIDIA AI explored a new CNN-based approach with comparable accuracy to ViTransformers, but with faster inference speeds for large images by leveraging CNN-optimized hardware.   #computervision

NVIDIA CEO Jensen Huang Reveals Breakthrough AI Chip at COMPUTEX 2024 (Supercut) Highlights from the COMPUTEX 2024 Keynote by #nvidia CEO Jensen Huang. Topics include @NVIDIA's insane Blackwell B100 GPUs, the announcement of Blackwell Ultra in 2025, NVIDIA Rubin GPUs in 2026, NVIDIA Rubin Ultra GPUs in 2027, advanced AI networking technologies like NVIDIA's NVLink and Spectrum-X Ethernet, how they all come together to power generative AI technologies like #chatgpt and #sora by #openai and reshape computing as we know it. https://lnkd.in/gQtzN6Wv

🔥What a remarkable achievement for NVIDIA - 𝗧𝗵𝗲 𝗻𝗲𝘄 𝗕𝗹𝗮𝗰𝗸𝘄𝗲𝗹𝗹 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗮𝗻𝗱 𝗚𝗕𝟮𝟬𝟬: • 1000X AI compute in 8 years. • First machine exceeding 1 exaFLOP in one rack. • LLM inference improved by up to 30 times comparing with the Hopper (previous generation). • Training a 1.8 trillion parameter model would have previously taken 8,000 Hopper GPUs and 15 megawatts of power, while today 2,000 Blackwell GPUs can do it while consuming just 4 megawatts for the same two months period. 📌 𝙼𝚘𝚜𝚝 𝚖𝚎𝚖𝚘𝚛𝚊𝚋𝚕𝚎 𝚖𝚘𝚖𝚎𝚗𝚝: Jensen: "This is what makes it possible. That's the back of DGX (supercomputer in a rack). 130tb/sec goes to the back of that chassis. 𝗧𝗵𝗮𝘁 𝗶𝘀 𝗺𝗼𝗿𝗲 𝘁𝗵𝗮𝗻 𝘁𝗵𝗲 𝗮𝗴𝗴𝗿𝗲𝗴𝗮𝘁𝗲𝗱 𝗯𝗮𝗻𝗱𝘄𝗶𝗱𝘁𝗵 𝗼𝗳 𝘁𝗵𝗲 𝗶𝗻𝘁𝗲𝗿𝗻𝗲𝘁." Audience: ... Audience: *𝘍𝘪𝘯𝘢𝘭𝘭𝘺 𝘳𝘦𝘢𝘭𝘪𝘻𝘦𝘴* Starts clapping. ❓Considering this breakthrough, how do you foresee the future direction of #generativeai?

NVIDIA GB200 Grace Blackwell Superchip: Tailored for the generative AI era. - Core Components: Combines two NVIDIA B200 Tensor Core GPUs with an NVIDIA Grace CPU. - Interconnect Technology: Utilizes a 900GB/s NVLink for high-speed CPU-GPU communication. - Manufacturing Process: Employs a TSMC 4NP custom process. - Transistor Count: Boasts 208 billion transistors, indicating advanced computational capability. - Chip Design: Features a dual-die design connected by a 10TB/s chip-to-chip interconnect. - NVLink Switch: Facilitates the connection of four NVLinks at 1.8TB/s for scalable AI processing. - Strategic Focus: Aims at setting new benchmarks in scalable, efficient AI computing infrastructure.

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