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

Persistent Memory

[Anonymous Coward]

Just what you want... persistent memory... so your keys are easier to steal and the government can see what you were doing when they broke in and stole all of your computers.

Re:Obligatory Risitas.

[Anonymous Coward]

Did he mention how many data vulnerabilities this chip has due to shared memory and mutually cached areas?

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.