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NVIDIA Blackwell Is Up & Running In Data Centers: NVLINK Upgraded To 1.4 TB/s, More GPU Details, First-Ever FP4 GenAI Image

NVIDIA slams down Blackwell delay rumors as it moves towards sharing more info on the data center Goliath, now operational at data centers.

NVIDIA's Blackwell Is Now Up & Operational, Coming To Global Data Centers This Year & More Details To Be Shared at Hot Chips Next Week

With Hot Chips commencing next week, NVIDIA is giving us a heads-up on what to expect during the various sessions that they have planned during the event.

Related Story Melius Research Concedes That It Is Hearing Muted “Whispers” Heading Into NVIDIA’s Earnings

Given that there has been a recent surge in rumors regarding a delay in Blackwell's roll-out, the company kicked off a press session by showing Blackwell up and running in one of its data centers and as the company has already stated previously, Blackwell is on track for ramp and will be shipping to customers later this year. So there is not a whole lot of weight to anyone saying that Blackwell has some sort of defect or issue & that it won't make it to markets this year.

But Blackwell isn't just one chip, it's a platform. Just like Hopper, Blackwell encompasses a vast array of designs for data center, cloud, and AI customers, & each Blackwell product is comprised of various chips. These include:

  • Blackwell GPU
  • Grace CPU
  • NVLINK Switch Chip
  • Bluefield-3
  • ConnectX-7
  • ConnectX-8
  • Spectrum-4
  • Quantum-3

NVIDIA is also sharing brand new pictures of various trays featured in the Blackwell lineup. These are the first pictures of Blackwell trays being shared and show the amount of engineering expertise that goes into designing the next-generation Data Center platforms.

The Blackwell generation is designed to tackle modern AI needs and to offer great performance in large language models such as the 405B Llama-3.1 from Meta. As LLMs grow in size with larger parameter sizes, data centers will require more compute and lower latency. Now you can make a large GPU with loads of memory and put the entire model on that chip but multiple GPUs are the requirement

Read more on wccftech.com