Pascari Branding and Accelerating AI

At FMS 2024, Phison devoted vital sales space area to their enterprise / datacenter SSD and PCIe retimer options, along with their client merchandise. As a controller / silicon vendor, Phison had traditionally been working with drive companions to deliver their options to the market. On the enterprise facet, their tie-up with Seagate for the X1 sequence (and the following Nytro-branded enterprise SSDs) is sort of well-known. Seagate equipped the necessities listing and had a say within the last firmware earlier than qualifying the drives themselves for his or her datacenter clients. Such qualification entails a big useful resource funding that’s potential solely by giant firms (ruling out a lot of the tier-two client SSD distributors).

Phison had demonstrated the Gen 5 X2 platform finally 12 months’s FMS as a continuation of the X1. Nonetheless, with Seagate specializing in its HAMR ramp, and in addition combating different battles, Phison determined to go forward with the qualification course of for the X2 course of themselves. Within the larger scheme of issues, Phison additionally realized that the white-labeling method to enterprise SSDs was not going to work out in the long term. In consequence, the Pascari model was born (ostensibly to make Phison’s enterprise SSDs extra accessible to finish shoppers).

Below the Pascari model, Phison has completely different lineups focusing on completely different use-cases: from high-performance enterprise drives within the X sequence besides drives within the B sequence. The AI sequence is available in variants supporting as much as 100 DWPD (extra on that within the aiDAPTIVE+ subsection under).

The D200V Gen 5 took pole place within the displayed drives, because of its main 61.44 TB capability level (a 122.88 TB drive can also be being deliberate underneath the identical line). Using QLC on this capacity-focused line brings down the sustained sequential write speeds to 2.1 GBps, however these are meant for read-heavy workloads.

The X200, then again, is a Gen 5 eTLC drive boasting as much as 8.7 GBps sequential writes. It is available in read-centric (1 DWPD) and combined workload variants (3 DWPD) in capacities as much as 30.72 TB. The X100 eTLC drive is an evolution of the X1 / Seagate Nytro 5050 platform, albeit with newer NAND and bigger capacities.

These drives include all the same old enterprise options together with power-loss safety, and FIPS certifiability. Although Phison did not promote this particularly, newer NVMe options like versatile knowledge placement ought to change into a part of the firmware options sooner or later.

100 GBps with Twin HighPoint Rocket 1608 Playing cards and Phison E26 SSDs

Although not strictly an enterprise demo, Phison did have a station displaying 100 GBps+ sequential reads and writes utilizing a traditional desktop workstation. The trick was putting in two HighPoint Rocket 1608A add-in playing cards (every with eight M.2 slots) and inserting the 16 M.2 drives in a RAID 0 configuration.

HighPoint Expertise and Phison have been working collectively to qualify E26-based drives for this use-case, and we might be seeing extra on this in a later overview.

aiDAPTIV+ Professional Suite for AI Coaching

One of many extra attention-grabbing demonstrations in Phison’s sales space was the aiDAPTIV+ Professional suite. Eventually 12 months’s FMS, Phison had demonstrated a 40 DWPD SSD to be used with Chia (fortunately, that fad has light). The corporate has been engaged on the intense endurance facet and moved it as much as 60 DWPD (which is commonplace for the SLC-based cache drives from Micron and Solidigm).

At FMS 2024, the corporate took this SSD and added a middleware layer on high to make sure that workloads stay extra sequential in nature. This drives up the endurance score to 100 DWPD. Now, this middleware layer is definitely a part of their AI coaching suite focusing on small enterprise and medium enterprises who wouldn’t have the finances for a full-fledged DGX workstation, or for on-premises fine-tuning.

Re-training fashions by utilizing these AI SSDs as an extension of the GPU VRAM can ship vital TCO advantages for these firms, because the expensive AI training-specific GPUs might be changed with a set of comparatively low-cost off-the-shelf RTX GPUs. This middleware comes with licensing features which can be basically tied to the acquisition of the AI-series SSDs (that include Gen 4 x4 interfaces presently in both U.2 or M.2 form-factors). Using SSDs as a caching layer can allow fine-tuning of fashions with a really giant variety of parameters utilizing a minimal variety of GPUs (not having to make use of them primarily for his or her HBM capability).