Registration for #FullyConnected26 is open:
🗓️ September 29 – Oct 1
📍San Francisco
3 days and 3 tracks to accelerate the superintelligence loop. 2,000+ AI Leaders in the room.
This is where you need to be. utm.io/upDdn
We just trained DeepSeek-V3 671B in 2 minutes.
That's all 671 billion parameters, on 8,192 NVIDIA Blackwell Ultra GPUs connected with NVIDIA Spectrum-X Ethernet.
The fastest DeepSeek-V3 training run anyone's recorded, set in the new MLPerf® Training v6.0 round on the same
In the MLPerf® Training v6.0 round, we delivered near-linear scaling efficiency with our NVIDIA GB300 NVL72 4,096-GPU cluster connected with NVIDIA Spectrum-X Ethernet.
We were the only team to push @nvidia GB300 NVL72 past 2,048 GPUs on this benchmark, and delivered amazing
Registration for #FullyConnected26 is open! Join us
🗓️September 29 – Oct 1
📌San Francisco
♾ 3 days, 3 tracks and 2,000+ AI Leaders in the room.
This is where you need to be. utm.io/upDdn
We're pulling back the curtain.
From a CoreWeave data center: @nvidia Vera Rubin NVL72, hosted by @SiliconANGLE@theCUBE on June 30, 9:30 am PT.
Save the date.
Every training job hits the same 2 bottlenecks:
Idle GPUs, which hurts efficiency, and researchers doing IT, which hurts velocity.
Stop wasting budget and talent. Watch @deok_filho break down how to solve these bottlenecks in the clip above and see the full on-demand version
Prototypes are predictable. Production inference under real-world demand is not.
If your platform hides runtime dynamics, the latency shifts are costing you time and money.
Stop guessing and start scaling predictably: