Difference Between Qualcomm Krait and Nvidia Epyc

Edited by Diffzy | Updated on: August 11, 2022

       

Difference Between Qualcomm Krait and Nvidia Epyc Difference Between Qualcomm Krait and Nvidia Epyc

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Introduction

A CPU is the most crucial component of any computer hardware system since it not only specifies the direction in which the system will be traversed but also assists in pertaining particular commands to the system. Qualcomm holds an ARM architectural license, which allows it to create proprietary microarchitectures that implement the ARM instruction set. This is comparable to how AMD has an x86 license, but instead of creating clones of Intel CPUs, it makes its chips. Qualcomm is the only active participant in the smartphone/tablet market that leverages its architectural license to create bespoke designs. A custom design often has superior power and performance characteristics than more easily synthesizable designs obtained straight from ARM. The disadvantage is that development time and expenses skyrocket.

Compared to earlier DGX system variations, NVIDIA has taken a different path with the introduction of its DGX A100 AI accelerator. NVIDIA has chosen AMD's EPYC range of CPUs for the DGX A100, as opposed to prior versions that used Intel's Xeon Platinum. A relationship between AMD and NVIDIA may appear paradoxical to many people, yet it is exceptionally advantageous to both companies. AMD's EPYC CPU series features a robust feature set that piqued NVIDIA's interest. Previously, NVIDIA's DGX systems were powered by Intel's Xeon Platinum CPUs, but for the DGX A100, NVIDIA has shifted to AMD's enterprise platform. Two firms recently released two products in the market of central processing units, Qualcomm Krait and Nvidia Epyc. Because of the fierce and tough competition between these two, it is critical to understand what they imply.

Qualcomm Krait vs. Nvidia Epyc

The critical distinction between Qualcomm Krait and Nvidia Epyc is that the former is a trendy central processing unit introduced by Qualcomm. At the same time, the latter is another similar device introduced by Nvidia. Although both of these goods are in the same genre, they differ in terms of their attributes and the company that makes them. Qualcomm, a well-known technological corporation located in San Diego, California, came up with the concept of a new central processing unit in 2012. This specific device was introduced as a CPU based on the widely renowned ARM system. This product competes heavily with all other similar items on the consumer market.

Nvidia, another well-known tech business in Santa Clara, California, has, on the other hand, is one of those companies that have released dynamic items into the market from time to time. The Epyc is one of the groundbreaking items developed by this firm, and it has gained a distinct reputation since its introduction to the market. When it comes to smartphone SoCs, Qualcomm is a company that cannot be beaten. A platform that is challenging to outperform because of outstanding baseband integration and a great mix of power and performance on the CPU/GPU side. Qualcomm is undoubtedly advancing its Krait architecture in the right direction with Krait 300/400.

 After the initial Krait, the update arrives at the ideal moment and enhances performance perfectly. Although most EPYC CPUs will deliver outstanding performance, computationally intensive websites sometimes impose a floor on CPU clock rates (usually around 2.5GHz). Since not all workloads are effectively parallelized, the goal is to guarantee that none suffers from too low of a performance. As a result, most organizations choose a minimum clock speed of roughly 2.5GHz. However, some users would like more incredible clock speeds, according to experience. In light of this, the comparisons below only feature CPU models with a performance of 2.5 GHz or higher.

Difference Between Qualcomm Krait And Nvidia Epyc in Tabular Form

Table: Qualcomm Krait vs. Nvidia Epyc
Parameters Of Comparison
 Qualcomm Krait
Nvidia Epyc
Meaning
It is a trendy central processing unit that was created by the incorporation of several Snapdragon projects.
It is yet another popular central processing unit designed following the incorporation of several microprocessing units.
According To
Based on ARM's reduced instruction set computing architecture.
It is built on the company's microprocessor architecture.
Initiated In
This central processing unit was introduced to the market in 2012.
This central processing unit was introduced to the market in 2017.
Codenaming
This product has not been assigned a specific code.
This product's microarchitecture has also been coded as Milan.
Founded By
Qualcomm introduced this unique product.
Nvidia introduced this particular device.

What Is Qualcomm Krait?

Qualcomm is one of the giant corporations in the world in producing hardware and software products, having its headquarters and main office located in San Diego, California, the United States of America. Despite having its headquarters in the United States of America, the corporation has activities in practically every country on the globe. With the moniker Qualcomm Krait, the business developed the concept of producing its central processing units in 2012. This product, albeit not entirely new, has essentially replaced another line of the same company's products while maintaining the brand it has acquired in the consumer market. It still qualifies as a groundbreaking item.

This product is built on ARM's reduced instruction set computing architecture. Because of this unique design, businesses can adopt a comparable architecture and later license such systems to other third-party owners. In other words, this specific architecture can be summed up as the one Qualcomm essentially purchases from another firm and implements on its unique devices. Qualcomm can create its unique microarchitectures that implement the ARM instruction set thanks to an ARM architecture license. Similar to how AND has an x86 license but instead of merely making copies of Intel CPUs, it creates its chips. The only active company in the smartphone/tablet market that leverages its architectural license to release original designs is Qualcomm. Compared to the more readily synthesizable methods you obtain directly from ARM, a bespoke design often has better power and performance attributes. The drawback is that both development time and expenses significantly increase.

Qualcomm Krait Architecture

All Snapdragon S4 SoCs use the Krait CPU, the brains of Qualcomm's second-generation Snapdragon. Krait adds some much-needed adrenaline to Scorpion's deteriorating base. Krait has a much broader front end. Three instructions can be fetched and decoded by the architecture of each clock. Any ARMv7-A instruction may be decrypted using the decoders. Over the 2-wide Scorpion core, the wider front end represents a significant improvement. It alone will be in charge of a noticeable rise in IPC.

A comparable enlargement is made to the back-end of execution. Krait increases the number of ports to the execution units from the original Scorpion core's three to seven. As a result, Krait can send four commands simultaneously. Put, the extra execution ports aid in preventing artificial limitations on ILP. Krait will be able to make significant IPC increases in this area as well. The retrieve and decode phases of Krait are sequential. However, the back end is entirely sequential. According to Qualcomm, any command may be executed out of sequence as long as it doesn't pose any additional risks. Retired instructions are done so in order.

Requirements for Performance

DMIPS have traditionally served as a measure of ARM core performance (Dhrystone Millions of Instructions per Second). Dhrystone was a very ancient integer benchmark widely used in the PC industry but was long abandoned in favor of more realistic models. If no amusing compiler tricks are in play, one may gain a primary picture of performance benefits across comparable architectures. For example, Krait should outperform a Cortex A9 operating at the same frequency by around 30% at 3.3.

At launch, Krait will perform 25% quicker than most A9s already on the market; this performance disparity will only widen when Qualcomm releases newer core iterations. Expecting a 30–50% performance increase over current smartphone designs is plausible. Although reports suggest that the Cortex A15 performs at roughly 3.5 DMIPS/MHz, ARM has not released any DMIPS/MHz figures for it.

Latest Venum Unit

In each of its architectures, ARM handles the NEON instruction set with a specific unit. Krait is no exception. Qualcomm has enhanced the issuing capabilities of its NEON engine by 50% and named it Venum. Krait can send three NEON instructions simultaneously as opposed to Scorpion's two.

What Is Nvidia Epyc?

Nvidia is a well-known American tech corporation that offers services in the software and hardware industries. This specific Santa Clara-based business has been in the business of producing such items for a long time and has built up quite a reputation for itself. The company recently disclosed that it would shortly introduce a replacement for its hugely successful Epyc line of central processing units. This firm has concentrated primarily on producing such central processing units that are compatible with practically all systems accessible and are also carrying many qualities with them.

A central processor unit is an essential component of the overall computer system. It so happens that the corporation itself owns the microarchitecture. Which is generally known as Zen microarchitecture, on which this specific product is built. This particular product, code-named Milan by the corporation, is destined to introduce new varieties to the market and capture a sizable share of the industry.EPYC 32-core CPUs are great for HPC applications. These models have an excellent price-performance ratio and many cores and clock speeds. EPYC CPUs with 48 and 64 seats are suited for some HPC tasks. Even while models with the most significant core counts seem to have the best cost- and power efficiency, many applications show decreasing results as core counts increase. These EPYC CPUs will be fantastic options for scalable applications that are not memory bandwidth constrained.

Cost-Effectiveness and Power Efficiency of Nvidia Epyc

Overall, when comparing cost per performance, AMD EPYC CPUs offer excellent value. There is a range of efficiency, though, with some CPU types providing especially appealing value. Also, remember that some of the best models have relatively high pricing and power needs. Therefore, the information that follows may be valuable to astute readers:

  • The most affordable CPUs most likely to be chosen are EPYC 7452 and EPYC 7552.
  • Look at EPYC 7502 if a compromise between cost-effectiveness and faster clock speed is required.
  • Even while the EPYC 7702 appears to be the most economical on paper, it's crucial to keep in mind that many applications might not be able to scale well to 64 cores. comparisons before deciding

EPYC CPUs include several significant characteristics, including:

  • Up to 64 processing cores per socket (with options for 8-, 12-, 16-, 24-, 32-, and 48-cores)
  • Increased CPU clock rates of 3.1GHz (with Boost speeds up to 3.4GHz)
  • Enhanced computational performance: Two 256-bit FMA units per CPU core and full support for 256-bit AVX2 instructions.
  • 256-bit instructions were divided into two distinct 128-bit operations in the earlier "Naples" architecture. A core may have up to 16 double-precision FLOPS per cycle.
  • Multiplication in double-precision floating-point is finished in three cycles (down from 4)
  • Increase of 15% in the number of integer operations per clock cycle (IPC)
  • Memory size and performance specifications: Each CPU has an eight-channel memory controller.Up to 3200 MHz of DDR4 memory support (up from 2666MHz)4TB of RAM maximum per CPU socket
  • The L3 cache of up to 256 MB per CPU (up from 64MB)
  • 4.0 PCI-Express generation support (which doubles the throughput of gen 3.0)
  • PCI-Express lanes up to 128 per CPU socket
  • A NUMA architecture upgrade:
  • single NUMA domain per CPU in a simplified architecture Socket
  • consistent delays between CPU deaths (plus fewer hops between cores)
  • Performance of InfinityFabric has improved (read speed per clock is doubled to 32 bytes)
  • EPYC 8-core CPUs should not be used for HPC
  • Despite being inexpensive, these models are not as cost-effective as many devices with more significant core counts.
  • EPYC 12-, 16-, and 24-core CPUs are appropriate for most HPC applications.
  • They don't always give the most cost-effective solutions, but they deliver outstanding performance for less money.

Main Difference Between Qualcomm Krait And Nvidia Epyc in Points

  • While Nvidia Epyc is another central processing unit made by a different firm, Qualcomm Krait is a trendy central processing unit that includes many Snapdragon systems.
  • Nvidia Epyc is a product of a firm located in Santa Clara, while Qualcomm Krait is a product of the San Diego-based Qualcomm corporation.
  • Compared to the Nvidia Epyc, introduced in 2017, Qualcomm Krait was introduced in 2012.
  • Nvidia Epyc utilizes the architecture given by the firm, whereas Qualcomm Krait utilizes the reduced instruction set computer infrastructure.
  • Nvidia Epyc is also known as Milan, whereas Qualcomm Krait has no other known code names.

Conclusion

Every day, the market for technical goods expands, and many businesses compete to get the most significant proportion of the consumer market for goods like hardware and software. For example, a central processing unit is an essential computer system component. Many businesses produce this particular product on a large scale. The only way to achieve this is to maintain a devout emphasis on enhancing single-threaded performance generation after generation without exceeding your power budget. Qualcomm understands. The market battle between Qualcomm and Nvidia's products, Qualcomm Krait and Nvidia Epyc, is a well-known illustration. Although these two products are significantly different from one another on the one hand, since they are built on different microarchitectures, it can be challenging to tell them apart because the distinctions are often very technical.

References

  • https://www.anandtech.com/show/6568/qualcomm-krait-400-krait-300-snapdragon-800


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