At FMS 2024, Kioxia had a proof-of-concept demonstration of their proposed a new RAID offload methodology for enterprise SSDs. The impetus for this is quite clear: as SSDs get faster in each generation, RAID arrays have a major problem of maintaining (and scaling up) performance. Even in cases where the RAID operations are handled by a dedicated RAID card, a simple write request in, say, a RAID 5 array would involve two reads and two writes to different drives. In cases where there is no hardware acceleration, the data from the reads needs to travel all the way back to the CPU and main memory for further processing before the writes can be done.
Kioxia has proposed the use of the PCIe direct memory access feature along with the SSD controller's controller memory buffer (CMB) to avoid the movement of data up to the CPU and back. The required parity computation is done by an accelerator block resident within the SSD controller.
In Kioxia's PoC implementation, the DMA engine can access the entire host address space (including the peer SSD's BAR-mapped CMB), allowing it to receive and transfer data as required from neighboring SSDs on the bus. Kioxia noted that their offload PoC saw close to 50% reduction in CPU utilization and upwards of 90% reduction in system DRAM utilization compared to software RAID done on the CPU. The proposed offload scheme can also handle scrubbing operations without taking up the host CPU cycles for the parity computation task.
Kioxia has already taken steps to contribute these features to the NVM Express working group. If accepted, the proposed offload scheme will be part of a standard that could become widely available across multiple SSD vendors.
StorageThanks to the success of the burgeoning market for AI accelerators, NVIDIA has been on a tear this year. And the only place that’s even more apparent than the company’s rapidly growing revenues is in the company’s stock price and market capitalization. After breaking into the top 5 most valuable companies only earlier this year, NVIDIA has reached the apex of Wall Street, closing out today as the world’s most valuable company.
With a closing price of $135.58 on a day that saw NVIDIA’s stock pop up another 3.5%, NVIDIA has topped both Microsoft and Apple in valuation, reaching a market capitalization of $3.335 trillion. This follows a rapid rise in the company’s stock price, which has increased by 47% in the last month alone – particularly on the back of NVIDIA’s most recent estimates-beating earnings report – as well as a recent 10-for-1 stock split. And looking at the company’s performance over a longer time period, NVIDIA’s stock jumped a staggering 218% over the last year, or a mere 3,474% over the last 5 years.
NVIDIA’s ascension continues a trend over the last several years of tech companies all holding the top spots in the market capitalization rankings. Though this is the first time in quite a while that the traditional tech leaders of Apple and Microsoft have been pushed aside.
| Market Capitalization Rankings | ||
| Market Cap | Stock Price | |
| NVIDIA | $3.335T | $135.58 |
| Microsoft | $3.317T | $446.34 |
| Apple | $3.285T | $214.29 |
| Alphabet | $2.170T | $176.45 |
| Amazon | $1.902T | $182.81 |
Driving the rapid growth of NVIDIA and its market capitalization has been demand for AI accelerators from NVIDIA, particularly the company’s server-grade H100, H200, and GH200 accelerators for AI training. As the demand for these products has spiked, NVIDIA has been scaling up accordingly, repeatedly beating market expectations for how many of the accelerators they can ship – and what price they can charge. And despite all that growth, orders for NVIDIA’s high-end accelerators are still backlogged, underscoring how NVIDIA still isn’t meeting the full demands of hyperscalers and other enterprises.
Consequently, NVIDIA’s stock price and market capitalization have been on a tear on the basis of these future expectations. With a price-to-earnings (P/E) ratio of 76.7 – more than twice that of Microsoft or Apple – NVIDIA is priced more like a start-up than a 30-year-old tech company. But then it goes without saying that most 30-year-old tech companies aren’t tripling their revenue in a single year, placing NVIDIA in a rather unique situation at this time.
Like the stock market itself, market capitalizations are highly volatile. And historically speaking, it’s far from guaranteed that NVIDIA will be able to hold the top spot for long, never mind day-to-day fluctuations. NVIDIA, Apple, and Microsoft’s valuations are all within $50 billion (1.%) of each other, so for the moment at least, it’s still a tight race between all three companies. But no matter what happens from here, NVIDIA gets the exceptionally rare claim of having been the most valuable company in the world at some point.
(Carousel image courtesy MSN Money)
GPUsThanks to the success of the burgeoning market for AI accelerators, NVIDIA has been on a tear this year. And the only place that’s even more apparent than the company’s rapidly growing revenues is in the company’s stock price and market capitalization. After breaking into the top 5 most valuable companies only earlier this year, NVIDIA has reached the apex of Wall Street, closing out today as the world’s most valuable company.
With a closing price of $135.58 on a day that saw NVIDIA’s stock pop up another 3.5%, NVIDIA has topped both Microsoft and Apple in valuation, reaching a market capitalization of $3.335 trillion. This follows a rapid rise in the company’s stock price, which has increased by 47% in the last month alone – particularly on the back of NVIDIA’s most recent estimates-beating earnings report – as well as a recent 10-for-1 stock split. And looking at the company’s performance over a longer time period, NVIDIA’s stock jumped a staggering 218% over the last year, or a mere 3,474% over the last 5 years.
NVIDIA’s ascension continues a trend over the last several years of tech companies all holding the top spots in the market capitalization rankings. Though this is the first time in quite a while that the traditional tech leaders of Apple and Microsoft have been pushed aside.
| Market Capitalization Rankings | ||
| Market Cap | Stock Price | |
| NVIDIA | $3.335T | $135.58 |
| Microsoft | $3.317T | $446.34 |
| Apple | $3.285T | $214.29 |
| Alphabet | $2.170T | $176.45 |
| Amazon | $1.902T | $182.81 |
Driving the rapid growth of NVIDIA and its market capitalization has been demand for AI accelerators from NVIDIA, particularly the company’s server-grade H100, H200, and GH200 accelerators for AI training. As the demand for these products has spiked, NVIDIA has been scaling up accordingly, repeatedly beating market expectations for how many of the accelerators they can ship – and what price they can charge. And despite all that growth, orders for NVIDIA’s high-end accelerators are still backlogged, underscoring how NVIDIA still isn’t meeting the full demands of hyperscalers and other enterprises.
Consequently, NVIDIA’s stock price and market capitalization have been on a tear on the basis of these future expectations. With a price-to-earnings (P/E) ratio of 76.7 – more than twice that of Microsoft or Apple – NVIDIA is priced more like a start-up than a 30-year-old tech company. But then it goes without saying that most 30-year-old tech companies aren’t tripling their revenue in a single year, placing NVIDIA in a rather unique situation at this time.
Like the stock market itself, market capitalizations are highly volatile. And historically speaking, it’s far from guaranteed that NVIDIA will be able to hold the top spot for long, never mind day-to-day fluctuations. NVIDIA, Apple, and Microsoft’s valuations are all within $50 billion (1.%) of each other, so for the moment at least, it’s still a tight race between all three companies. But no matter what happens from here, NVIDIA gets the exceptionally rare claim of having been the most valuable company in the world at some point.
(Carousel image courtesy MSN Money)
GPUsKioxia's booth at FMS 2024 was a busy one with multiple technology demonstrations keeping visitors occupied. A walk-through of the BiCS 8 manufacturing process was the first to grab my attention. Kioxia and Western Digital announced the sampling of BiCS 8 in March 2023. We had touched briefly upon its CMOS Bonded Array (CBA) scheme in our coverage of Kioxial's 2Tb QLC NAND device and coverage of Western Digital's 128 TB QLC enterprise SSD proof-of-concept demonstration. At Kioxia's booth, we got more insights.
Traditionally, fabrication of flash chips involved placement of the associate logic circuitry (CMOS process) around the periphery of the flash array. The process then moved on to putting the CMOS under the cell array, but the wafer development process was serialized with the CMOS logic getting fabricated first followed by the cell array on top. However, this has some challenges because the cell array requires a high-temperature processing step to ensure higher reliability that can be detrimental to the health of the CMOS logic. Thanks to recent advancements in wafer bonding techniques, the new CBA process allows the CMOS wafer and cell array wafer to be processed independently in parallel and then pieced together, as shown in the models above.
The BiCS 8 3D NAND incorporates 218 layers, compared to 112 layers in BiCS 5 and 162 layers in BiCS 6. The company decided to skip over BiCS 7 (or, rather, it was probably a short-lived generation meant as an internal test vehicle). The generation retains the four-plane charge trap structure of BiCS 6. In its TLC avatar, it is available as a 1 Tbit device. The QLC version is available in two capacities - 1 Tbit and 2 Tbit.
Kioxia also noted that while the number of layers (218) doesn't compare favorably with the latest layer counts from the competition, its lateral scaling / cell shrinkage has enabled it to be competitive in terms of bit density as well as operating speeds (3200 MT/s). For reference, the latest shipping NAND from Micron - the G9 - has 276 layers with a bit density in TLC mode of 21 Gbit/mm2, and operates at up to 3600 MT/s. However, its 232L NAND operates only up to 2400 MT/s and has a bit density of 14.6 Gbit/mm2.
It must be noted that the CBA hybrid bonding process has advantages over the current processes used by other vendors - including Micron's CMOS under array (CuA) and SK hynix's 4D PUC (periphery-under-chip) developed in the late 2010s. It is expected that other NAND vendors will also move eventually to some variant of the hybrid bonding scheme used by Kioxia.
StorageDuring Computex 2024, ASRock held an event to unveil some of its upcoming X870E motherboards, designed for AMD's Zen 5-based Ryzen 9000 series processors. ASRock's announcement includes a pair of Taichi-branded boards, the X870E Taichi and the lighter X870E Taichi lite, which uses AMD's X870E (Promontory 21) chipset for AM5.
The current flagship model announced from ASRock's X870E line-up for Ryzen 9000 is the ASRock X870E Taichi. ASRock is advertising a large 27-phase power delivery through 110A SPS, suggesting this board is designed for overclockers and all-around power users. Two PCIe 5.0 x16 slots (operating in either x16/x0 or x8/x8) provide high-speed bandwidth for cutting-edge graphics cards and other devices. Meanwhile, ASRock has gone with 4 DIMM slots on this board, so system builders will be able to max out the board's memory capacity at the cost of bandwidth.
The storage offering is impressive; besides the obligatory PCIe Gen5 x4 M.2 slot (Blazing M.2), ASRock has outfit the board with another three PCIe Gen4 x4 (Hyper) M.2 slots. Also present are two USB4 Type-C ports for high-bandwidth external I/O, while networking support is a solid pairing of a discrete Wi-Fi 7 controller with a Realtek 5Gb Ethernet controller (and the first AM5 board we've come across with something faster than a 2.5GbE controller).
The audio setup includes a Realtek ALC4082 codec and ESS SABRE9218 DAC supporting high-fidelity sound. The BIOS flashback feature is also a nice touch, and we believe this should be a feature on all mid-range to high-end motherboards, which provides an easy way to update the firmware without installing a CPU. And, as no high-end board would be complete without it, ASRock has put RGB lighting on the X870E Taichi as well.
Ultimately, as ASRock's high-end X870E board, the X870E Taichi comes with pretty much every last cutting-edge technology that ASRock can fit on the board.
Comparatively, the ASRock X870E Taichi Lite is a more streamlined and functional version of the X870E Taichi. The Lite retaining all of the latter's key features, including the 27-phase power delivery with 110A smart power stages, dual PCIe 5.0 x16 slots operating at x16 or x8/x8, four DDR5 DIMM slots, and four M.2 slots (1x Gen5 + 3x Gen4). The only significant difference is aesthetics: the Taichi Lite features a simpler silver-themed design without the RGB lighting, while the standard Taichi has a more intricate gold-accented and fanciful aesthetics.
In terms of availability, ASRock is not disclosing a release date for the board at the show. And, checking around with other tech journalists, Andreas Schilling from HawrdwareLUXX has heard that X870E and X870 motherboards aren't expected to be available in time for the Ryzen 9000 series launch. We will investigate this and contact the motherboard vendors to confirm the situation. Though as X870E/X870 boards barely differ from the current crop of X670E/B650E boards to begin with, the Ryzen 9000 series won't be fazed by a lack of slightly newer motherboards.
MotherboardsG.Skill on Tuesday introduced its ultra-low-latency DDR5-6400 memory modules that feature a CAS latency of 30 clocks, which appears to be the industry's most aggressive timings yet for DDR5-6400 sticks. The modules will be available for both AMD and Intel CPU-based systems.
With every new generation of DDR memory comes an increase in data transfer rates and an extension of relative latencies. While for the vast majority of applications, the increased bandwidth offsets the performance impact of higher timings, there are applications that favor low latencies. However, shrinking latencies is sometimes harder than increasing data transfer rates, which is why low-latency modules are rare.
Nonetheless, G.Skill has apparently managed to cherry-pick enough DDR5 memory chips and build appropriate printed circuit boards to produce DDR5-6400 modules with CL30 timings, which are substantially lower than the CL46 timings recommended by JEDEC for this speed bin. This means that while JEDEC-standard modules have an absolute latency of 14.375 ns, G.Skill's modules can boast a latency of just 9.375 ns – an approximately 35% decrease.
G.Skill's DDR5-6400 CL30 39-39-102 modules have a capacity of 16 GB and will be available in 32 GB dual-channel kits, though the company does not disclose voltages, which are likely considerably higher than those standardized by JEDEC.
The company plans to make its DDR5-6400 modules available both for AMD systems with EXPO profiles (Trident Z5 Neo RGB and Trident Z5 Royal Neo) and for Intel-powered PCs with XMP 3.0 profiles (Trident Z5 RGB and Trident Z5 Royal). For AMD AM5 systems that have a practical limitation of 6000 MT/s – 6400 MT/s for DDR5 memory (as this is roughly as fast as AMD's Infinity Fabric can operate at with a 1:1 ratio), the new modules will be particularly beneficial for AMD's Ryzen 7000 and Ryzen 9000-series processors.
G.Skill notes that since its modules are non-standard, they will not work with all systems but will operate on high-end motherboards with properly cooled CPUs.
The new ultra-low-latency memory kits will be available worldwide from G.Skill's partners starting in late August 2024. The company did not disclose the pricing of these modules, but since we are talking about premium products that boast unique specifications, they are likely to be priced accordingly.
MemoryKioxia's booth at FMS 2024 was a busy one with multiple technology demonstrations keeping visitors occupied. A walk-through of the BiCS 8 manufacturing process was the first to grab my attention. Kioxia and Western Digital announced the sampling of BiCS 8 in March 2023. We had touched briefly upon its CMOS Bonded Array (CBA) scheme in our coverage of Kioxial's 2Tb QLC NAND device and coverage of Western Digital's 128 TB QLC enterprise SSD proof-of-concept demonstration. At Kioxia's booth, we got more insights.
Traditionally, fabrication of flash chips involved placement of the associate logic circuitry (CMOS process) around the periphery of the flash array. The process then moved on to putting the CMOS under the cell array, but the wafer development process was serialized with the CMOS logic getting fabricated first followed by the cell array on top. However, this has some challenges because the cell array requires a high-temperature processing step to ensure higher reliability that can be detrimental to the health of the CMOS logic. Thanks to recent advancements in wafer bonding techniques, the new CBA process allows the CMOS wafer and cell array wafer to be processed independently in parallel and then pieced together, as shown in the models above.
The BiCS 8 3D NAND incorporates 218 layers, compared to 112 layers in BiCS 5 and 162 layers in BiCS 6. The company decided to skip over BiCS 7 (or, rather, it was probably a short-lived generation meant as an internal test vehicle). The generation retains the four-plane charge trap structure of BiCS 6. In its TLC avatar, it is available as a 1 Tbit device. The QLC version is available in two capacities - 1 Tbit and 2 Tbit.
Kioxia also noted that while the number of layers (218) doesn't compare favorably with the latest layer counts from the competition, its lateral scaling / cell shrinkage has enabled it to be competitive in terms of bit density as well as operating speeds (3200 MT/s). For reference, the latest shipping NAND from Micron - the G9 - has 276 layers with a bit density in TLC mode of 21 Gbit/mm2, and operates at up to 3600 MT/s. However, its 232L NAND operates only up to 2400 MT/s and has a bit density of 14.6 Gbit/mm2.
It must be noted that the CBA hybrid bonding process has advantages over the current processes used by other vendors - including Micron's CMOS under array (CuA) and SK hynix's 4D PUC (periphery-under-chip) developed in the late 2010s. It is expected that other NAND vendors will also move eventually to some variant of the hybrid bonding scheme used by Kioxia.
StorageAs sales of GPU-based AI accelerators remain as strong as ever, the immense demand for these cards has led to some server builders going off the beaten path in order to get the hardware they want at a lower price. While both NVIDIA and AMD offer official card configurations for servers, the correspondingly high price of these cards makes them a significant financial outlay that some customers either can't afford, or don't want to pay.
Instead, these groups have been turning to buying up consumer graphics cards, which although they come with additional limitations, are also a fraction of the cost of a "proper" server card. And this week, ASRock has removed another one of those limitations for would-be AMD Radeon users, with the introduction of a set of compact, passively-cooled Radeon RX 7900 XTX and RX 7900 XT video cards that are designed to go in servers.
Without any doubts, ASRock's AMD Radeon RX 7900 XTX Passive 24GB and AMD Radeon RX 7900 XT Passive 20GB AIBs are indeed graphics cards with four display outputs and based on the Navi 31 graphics processor (with 6144 and 5376 stream processors, respectively), so they can output graphics and work both with games and professional applications. And with TGPs of 355W and 315W respectively, these cards aren't underclocked in any way compared to traditional desktop cards. However, unlike a typical desktop card, the cooler on these cards is a dual-slot heatsink without any kind of fan attached, which is meant to be used with high-airflow forced-air cooling.
All-told, ASRock's passive cooler is pretty capable, as well; it's not just a simple aluminum heatsink. Beneath the fins, ASRock has gone with a vapor chamber and multiple heat pipes to distribute heat to the rest of the sink. Even with forced-air cooling in racked servers, the heatsink itself still needs to be efficient to keep a 300W+ card cool with only a dual-slot cooler – and especially so when upwards of four of these cards are installed side-by-side with each other. To make the boards even more server friendly, these cards are equipped with a 12V-2×6 power connector, a first for the Radeon RX 7900 series, simplifying installation by reducing cable clutter.
Driving the demand for these cards in particular is their memory configuration. With 24GB for the 7900 XTX and 20GB for the 7900 XT is half as much (or less) memory than can be found on AMD and NVIDIA's high-end professional and server cards, AMD is the only vendor offering consumer cards with this much memory for less than $1000. So for a memory-intensive AI inference cluster built on a low budget, the cheapest 24GB card available starts looking like a tantalizing option.
Otherwise, ASRock's Radeon RX 7900 Passive cards distinguish themselves from AMD's formal professional and server cards by what they're not capable of doing: namely, remote professional graphics or other applications that need things like GPU partitioning. These parts look to be aimed at one application only, artificial intelligence, and are meant to process huge amounts of data. For this purpose, their passive coolers will do the job and the lack of ProViz or VDI-oriented drives ensure that AMD will leave these lucrative markets for itself.
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