Nvidia CEO Jensen Huang kicked off the company’s Graphics Technology Conference (GTC) with a keynote speech full of announcements. The key reveals include Nvidia’s first-ever discrete CPU, named Grace, as well as its next-generation Hopper architecture, which will arrive later in 2022.
The Grace CPU Superchip is Nvidia’s first discrete CPU ever, but it won’t be at the heart of your next gaming PC. Nvidia announced the Grace CPU in 2021, but this Superchip, as Nvidia calls it, is something new. It puts together two Grace CPUs, similar to Apple’s M1 Ultra, connected through Nvidia’s NVLink technology.
Unlike the M1 Ultra, however, the Grace Superchip isn’t built for general performance. The 144-core GPU is built for A.I., data science, and applications with high memory requirements. The CPU still uses ARM cores, despite Nvidia’s abandoned $40 billion bid to purchase the company.
In addition to the Grace Superchip, Nvidia showed off its next generation Hopper architecture. This isn’t the architecture powering the RTX 4080, according to speculation. Instead, it’s built for Nvidia’s data center accelerators. Nvidia is debuting the architecture in the H100 GPU, which will replace Nvidia’s previous A100.
Nvidia calls the H100 the “world’s most advanced chip.” It’s built using chipmaker TSMC’s N4 manufacturing process, packing in a staggering 80 billion transistors. As if that wasn’t enough, it’s also the first GPU to support PCIe 5.0 and HBM3 memory. Nvidia says just 20 H100 GPUs can “sustain the equivalent of the entire world’s internet traffic,” showing the power of PCIe 5.0 and HBM3.
Customers will be able to access the GPU through Nvidia’s fourth-generation DGX servers, which combine eight H100 GPUs and 640GB of HBM3 memory. These machines, according to Nvidia, provide 32 petaFLOPs of A.I. performance, which is six times as much as last-gen’s A100.
If the DGX doesn’t offer enough power, Nvidia is also offering its DGX H100 SuperPod. This builds on Nvidia renting out its SuperPod accelerators last year, allowing those without the budget for massive data centers to harness the power of A.I. This machine combines 32 DGX H100 systems, delivering a massive 20TB of HBM3 memory and 1 exoFLOP of A.I. performance.
Nvidia is debuting the new architecture with its own EOS supercomputer, which includes 18 DGX H100 SuperPods for a total of 4,608 H100 GPUs. Enabling this system is Nvidia’s fourth generation of NVLink, which provides a high bandwidth interconnect between massive clusters of GPUs.
As the number of GPUs scales up, Nvidia showed that the last-gen A100 would flatline. Hopper and fourth-gen NVLink don’t have that problem, according to the company. As the number of GPUs scales into the thousands, Nvidia says H100-based systems can provide up to nine times faster A.I. training than A100-based systems.
This next-gen architecture provides “game-changing performance benefits,” according to Nvidia. Although exciting for the world of A.I. and high-performance computing, we’re still eagerly awaiting announcements around Nvidia’s next-gen RTX 4080, which is rumored to launch later this year.
Editors' Recommendations
- Nvidia finally made a tiny RTX 4000 graphics card (but you probably don’t want it)
- Nvidia is leveraging GPUs to build 2nm (and smaller) chips
- Edge Copilot finally delivers on Microsoft’s Bing Chat promises
- Nvidia just fixed a major problem that may have slowed down your CPU
- If you have an Nvidia graphics card, your CPU may be suffering right now
