Intel Announces Cascade Lake With Up To 56 Cores and Optane Persistent Memory DIMMs (tomshardware.com)

At its Data-Centric Innovation Day, Intel today announced its Cascade Lake line of Xeon Scalable data center processors. From a report: The second-generation lineup of Xeon Scalable processors comes in 53 flavors that span up to 56 cores and 12 memory channels per chip, but as a reminder that Intel company is briskly expanding beyond "just" processors, the company also announced the final arrival of its Optane DC Persistent Memory DIMMs along with a range of new data center SSDs, Ethernet controllers, 10nm Agilex FPGAs, and Xeon D processors. This broad spectrum of products leverages Intel's overwhelming presence in the data center, it currently occupies ~95% of the worlds server sockets, as a springboard to chew into other markets, including its new assault on the memory space with the Optane DC Persistent Memory DIMMs. The long-awaited DIMMs open a new market for Intel and have the potential to disrupt the entire memory hierarchy, but also serve as a potentially key component that can help the company fend off AMD's coming 7nm EPYC Rome processors.

Comments

Also with 56 vulnerabilities for CIA, NSA and FBI

[Anonymous Coward]

The fucking company is literally called "Intel"!

400w

[darkain]

This new top-end CPU comes in at 400w and requires water cooling. Who the hell wants water cooling in the data center!? This just seems like a massive disaster waiting to happen. Also, they're no longer socketed, but instead soldered directly to the motherboard, just like SoCs.

Re:400w

[TechyImmigrant]

This new top-end CPU comes in at 400w and requires water cooling. Who the hell wants water cooling in the data center!? This just seems like a massive disaster waiting to happen. Also, they're no longer socketed, but instead soldered directly to the motherboard, just like SoCs.

Mainframes used to use water cooling. See old IBMs.

Power RF uses water cooling.

Power machinery uses water cooling.

Internal combustion engines use water cooling.

Do it right and it's reliable.

Re:Compare to nvidia

[TomGreenhaw]

With AVX instructions, I believe that each core can perform 32 fused add/multiply operation per clock cycle. These are critical for machine learning applications and with 56 cores should allow cascade lake to perform on a par with GPUs. VNNI (vectorized neural network instructions) also will help close any gap in neural networks as well.

One of the biggest challenges in machine learning is moving data around from storage and OSs to the machine learning hardware for training and execution. General purpose CPUs typically have direct high performance access to data and this can have a dramatic effect on overall system performance and ease of implementation.