On-Prem

HPC

Nvidia shovels $500M into Israeli boffinry supercomputer

System to feature hundreds of liquid-cooled Blackwell systems


Nvidia is constructing a 30-megawatt research-and-development supercomputer stuffed with its latest-generation Blackwell GPUs in northern Israel at an estimated cost of half a billion dollars.

The cluster's home is a 10,000-square-metre facility located in the Mevo Carmel Science and Industry Park near the city of Yokne'am Illit. And according to Nvidia, it will be pack hundreds of Nv's liquid-cooled Blackwell-based systems, BlueField-3 SuperNIC, Spectrum-X800, and Quantum-X800 switches.

We understand the big beast will be used by Nvidia employees to develop next-gen datacenter technologies.

The exact number of accelerators being deployed isn't clear — Nvidia has several liquid-cooled Blackwell reference systems with varying numbers of accelerators on board — however, Israeli media reports the full configuration will feature "several thousand" GPUs rivaling the nation's Israel-1 supercomputer.

That system is made up of 2,048 H100 accelerators stitched together using Nvidia's Ethernet-based Spectrum-X family of switches and superNICs to provide peak FP64 performance of 69 (vector) to 137 (matrix) petaFLOPS for scientific workloads or 8 exaFLOPS for AI applications (sparse FP8).

On a chip-for-chip basis, Blackwell promises up to 2.5x the floating-point performance of Hopper at most precisions, and up to 5x when dropping down to 4-bit precision. In addition to the higher computational performance, Blackwell also promises between 1.66x and 2.38x higher memory bandwidth compared to its predecessor. So even with an equal number of accelerators as Israel-1, the new facility should translate into a more powerful system.

System building is said to have begun sometime last year and is expected to start operations in the first half of 2025.

What about the new export rules?

Depending on how far along Nvidia is and just how many GPUs it plans to deploy, the chipmaker could just about potentially run afoul of the Biden administration's latest round of export controls on AI accelerators.

As we saw with xAI's Colossus AI supercomputer, Nvidia and its partners have proven more than capable of deploying massive systems in a matter of months.

Under the rules disclosed on Monday, Israel would be labeled a tier-two nation and be subject to import caps equivalent to 50,000 advanced GPUs over a two-year period between 2025 and 2027.

However, it's our understanding that these rules won't go into effect for 120 days from publication, and may not survive a Trump presidency. If the president-elect's administration does move forward with these plans, the implementation period could give Nvidia enough time to complete any remaining shipments necessary to finish the cluster.

It's also possible the super may slip under the export caps or be excluded from the rules as it's believed the computer will be used exclusively for internal research-and-development purposes.

Under the rules, chip orders with a collective computational power of up to around 1,700 advanced GPUs would not require a special license from Uncle Sam and would not count against a nation's chip caps.

Meanwhile, entities in tier-one nations that meet US security standards can place up to seven percent of their global computation in other nations around the world.

Given Israel's strong ties to the US, there's a good chance the nation would be granted "National Verified End User" status, boosting the import cap to 320,000 accelerators over a two-year period.

Even still, the rules have become a source of major concern for Israeli tech companies, which worry the rules could eliminate Israel's ability to compete in the emerging AI field. ®

Send us news
23 Comments

Intel has officially missed the boat for AI in the datacenter

But it still has a chance at the network edge and the PC

Where does Microsoft's NPU obsession leave Nvidia's AI PC ambitions?

While Microsoft pushes AI PC experiences, Nvidia is busy wooing developers

Datacenter energy use to more than double by 2030 thanks to AI's insatiable thirst

Shocking research warns electricity shortages could create construction bottleneck

Nvidia deprecates CUDA support for aging architectures

Maxwell, Pascal and Volta, oh my! But fear not, driver support is still safe

Intel knocked off global chip revenue top spot after rotten 2024

Missed the AI processor boat, split with CEO savior, lost #1 seat to Samsung

France, UAE to drop €50B on AI mega-datacenter. Still nowhere near America’s $500B bet

Oh look, a mini Stargate, how quaint

DeepSeek means companies need to consider AI investment more carefully

But Chinese startup shakeup doesn't herald 'drastic drop' in need for infrastructure buildout, say analysts

IBM seeks $3.5B in cost savings for 2025, discretionary spend to be clipped

Workforce rebalancing? Yes, but on the plus side, the next 12 months are all about AI, AI, and more AI

Who's afraid of DeepSeek's impact on AI hardware sales? Not AMD CEO Lisa Su

Predicts more efficient ML architectures will drive adoption, see Instinct sales accelerate, shares dive

South Carolina's abandoned nuclear reactors positioned to fuel the AI datacenter boom

VC Summer units 2 and 3, abandoned in 2017, are looking for a buyer; owners say tech industry needs are a perfect fit

Ubuntu upgrade had our old Nvidia GPU begging for a downgrade

If you need legacy drivers, you might want to keep your older OS version – possibly indefinitely

Not even Nvidia's Jensen Huang can talk President Tariffs out of chip import taxes

GPU giant could just wait eight minutes for Donald to change his mind