Hoʻohālikelike i ka MTSC7215 me nā mea hana kiʻekiʻe ʻē aʻe

Ka hoʻomaopopo ʻana i ka MTSC7215: He Manaʻo pōkole

Ma mua o ka luʻu ʻana i ka hoʻohālikelike, pono ia e hoʻomaopopo i ke ʻano o ka MTSC7215 a me ke ʻano o ia mea. ʻOiai ʻokoʻa paha nā kikoʻī kikoʻī e pili ana i ka MTSC7215, manaʻo maikaʻi ʻo ia he system-on-chip (SoC) hana kiʻekiʻe i hoʻolālā ʻia no nā hana helu heterogeneous. Ma muli o nā hiʻohiʻona hou o ka hoʻolālā semiconductor, eia kahi wehewehe hypothetical o kāna mau hiʻohiʻona nui:

• Hoʻolālā : ʻO ke kaʻina hana 5nm, nā cores lima (Cortex-X4 a i ʻole ka hoʻolālā VLIW maʻamau), nā mea hoʻokele AI i hoʻohui ʻia (e laʻa, nā cores tensor a i ʻole nā ​​​​mea hana neural).
• hana : A hiki i ka 128 cores, ka wikiwiki o ka uaki ma mua o 4.0 GHz, kākoʻo no PCIe 5.0 a me DDR5 memo.
• Hoʻoikaika ikaika : Hoʻonui ʻia no ka 150250W TDP (ka mana hoʻolālā wela), me ka uila uila a me ka scaling frequency (DVFS).
• Hoʻohana i nā hihia : Hoʻomaʻamaʻa AI/ML, ʻikepili ʻikepili i ka manawa maoli, ʻōnaehana autonomous, a me ka helu helu hana kiʻekiʻe (HPC).

Hoʻokumu ka manaʻo hoʻolālā MTSC7215s i ka parallelism, ka hana haʻahaʻa haʻahaʻa, a me ka hoʻololi ʻana ma waena o ka hana i ka pane ʻana i ka ulu nui o nā ʻāpana e hiki ke mālama i nā hana computing kuʻuna a me nā noi i alakaʻi ʻia e AI.

Nā mea hoʻokūkū koʻikoʻi ma ka Space Component Performance High

No ka loiloi ʻana i ka MTSC7215, e hoʻohālikelike pono iā ia i ʻehā mau ʻāpana nui o nā ʻāpana: Intel Xeon Scalable Processors (4th Gen), NVIDIA A100/H100 GPUs, AMD EPYC (Genoa/Zen 4), a me Xilinx Versal Premium FPGAs. Ua kālai ʻia kēlā me kēia ʻāpana i kahi niche i ka helu helu kiʻekiʻe, akā ʻokoʻa lākou i ka hoʻolālā, ka hoʻohana mana, a me nā hihia hoʻohana kūpono.

MTSC7215 vs. Nā Kaʻina Hana Scalable Intel Xeon

Nā ʻokoʻa hoʻolālā

Kūkulu ʻia nā Intels 4th Gen Xeon Scalable processors (Sapphire Rapids) ma kahi papa hana hybrid x86 a hiki i ka 60 P-cores (nā kumu hana) a me ke kākoʻo no nā kuhikuhi AVX-512. ʻOi aku ka maikaʻi ma ka hana hoʻokahi-threaded a hoʻohana nui ʻia i nā kikowaena ʻoihana a me ka computing cloud.

ʻO ka hoʻohālikelike, ʻo ka MTSC7215s Arm-based design e hoʻoikaika i ka scalability a me ka pono o ka ikehu. Me ka 128 cores, hoʻopaʻa ʻo ia i nā haʻahaʻa hana e pōmaikaʻi mai ka parallelism nui, e like me AI inference a me ka hoʻoili ʻikepili nui.

Nā Ana Hana Hana

• Hoʻokō Hoʻokahi-Koko : Ke alakaʻi nei ʻo Intel Xeons ma ʻaneʻi, mahalo i kā lākou microarchitecture makua a me ka wikiwiki o ka uaki kiʻekiʻe (a hiki i 4.2 GHz).
• Hoʻokomo ʻia ʻo Multi-Core Throughput : ʻOi aku ka MTSC7215 i ka Xeon me kāna helu kumu kiʻekiʻe a me nā ʻāpana vector ākea. Hōʻike ʻo Benchmarks e like me SPECrate2018_int_base i ka Xeon e helu ma kahi o 450, aʻo ka MTSC7215 hiki ke pā ma kahi o 600 ma muli o kona ʻano like.
• ʻO ka Bandwidth Memory : Kākoʻo lāua ʻelua i ka DDR5, akā hiki i ka MTSC7215s 8-channel controller ke hāʻawi i kahi 2030% ka palena ma luna o Xeons 6-channel hoʻonohonoho.

Ka Mana Mana

Hāʻawi ka MTSC7215s 5nm kaʻina a me ka hoʻolālā Arm iā ia i kahi 3040% haʻahaʻa TDP ma mua o Xeons no nā haʻahaʻa hana like. No nā kikowaena ʻikepili e hoʻolalelale ana i ka mālama ʻana i ka ikehu, he pōmaikaʻi nui kēia.

E hoʻohana i ka Case Fit

• Xeon : Mea maikaʻi loa no nā noi ʻoihana hoʻoilina, virtualization, a me nā haʻahaʻa hana e koi ana i ka hoʻohālikelike x86.
• MTSC7215 : He kūpono no nā noi ʻōiwi, AI/ML, a me ka helu ʻaoʻao kahi e pono ai ka scalability a me ka pono o ka mana.

MTSC7215 vs. Nā NVIDIA A100/H100 GPU

Nā ʻokoʻa hoʻolālā

ʻO NVIDIAs A100 (Ampere) a me H100 (Hopper) GPU i kūkulu ʻia no ka parallelism nui, e hōʻike ana i nā kaukani CUDA cores a me nā cores tensor kūikawā no nā hana hana AI. ʻO lākou ke kūlana gula no ka hoʻomaʻamaʻa aʻo hohonu a me nā simulation HPC.

ʻO ka MTSC7215, ʻoiai ʻaʻole ia he GPU, hoʻopili pololei i nā accelerators AI i loko o kāna paʻakikī CPU, hiki i ka helu heterogeneous me ka hilinaʻi ʻole i nā accelerators waho.

Nā Ana Hana Hana

• Aʻo AI/ML : Ua lanakila nā GPU ma aneʻi. Hāʻawi ka H100 i 4 petaflops no nā hana FP8, ʻoi aku ka maikaʻi ma mua o ka MTSC7215.
• Hoʻohelu Kūʻai Nui : ʻOi aku ka maikaʻi o nā cores CPU MTSC7215s i nā GPU i nā hana i hiki ʻole ke hoʻohālikelike ʻia, e like me nā nīnau ʻikepili a i ʻole nā ​​noi hoʻokahi.
• Latency : ʻOi aku nā CPU e like me MTSC7215 i nā hana inference haʻahaʻa haʻahaʻa (e laʻa, nā ʻenekini manaʻo manawa maoli), akā pono nā GPU i ka hui ʻana e hoʻonui i ka pono.

Ka Mana Mana

Ua kaulana nā GPU no ko lākou hoʻohana mana kiʻekiʻe (H100: ~ 700W me NVLink). ʻOi aku ka maikaʻi o ka MTSC7215s 250W TDP no nā haʻahaʻa hana hybrid e hui pū me AI me ka hoʻopili kuʻuna.

E hoʻohana i ka Case Fit

• Nā GPU NVIDIA : Pono no ka hoʻomaʻamaʻa AI nui, nā hoʻohālikelike paʻakikī (e laʻa, ka hoʻoikaika kino wai), a me ka hana ʻana.
• MTSC7215 : He kūpono no ka inference AI, robotics, a me nā noi e koi ana i ka hoʻohui paʻa o ka CPU a me ka wikiwiki AI.

MTSC7215 vs. AMD EPYC (Genoa/Zen 4)

Nā ʻano like a me nā ʻokoʻa

ʻO nā kaʻina hana AMDs EPYC Genoa, e pili ana i ka hoʻolālā Zen 4, hāʻawi i nā cores 96 i kēlā me kēia kumu a alakaʻi i ka hana per-core no nā pahu x86. E like me ka MTSC7215, koʻikoʻi lākou i nā helu kiʻekiʻe a me ka bandwidth memo DDR5.

Eia nō naʻe, hāʻawi ka papa hana ʻo MTSC7215s Arm i kahi hoʻonohonoho ʻokoʻa i hoʻonohonoho ʻia no ka hana maʻamau, e ʻoluʻolu i nā hui e kūkulu ana i nā hale kiʻi kikoʻī kikoʻī (DSAs).

Nā Ana Hana Hana

• Ka helu kumu : MTSC7215s 128 cores vs. EPYCs 96: Ua lanakila ka mua no ka like like.
• Nā kuhikuhi no kēlā me kēia pōʻaiapili (IPC) : ʻO Zen 4s IPC (~ 15% kiʻekiʻe ma mua o Zen 3) hiki ke hāʻawi iā EPYC i kahi kihi i nā hana hoʻokahi.
• Hoʻomanaʻo a me I/O : Kākoʻo lāua ʻelua i ka PCIe 5.0 a me DDR5, akā ʻoi aku ka liʻiliʻi o ka mana hoʻomanaʻo hoʻomanaʻo EPYCs 12-channel i ka hoʻolālā 8-channel MTSC7215s.

Ka Mana Mana

Hoʻohālikelike ʻia ʻo EPYCs 250320W TDP i ka MTSC7215, ʻoiai hāʻawi pinepine ʻo AMDs chip i ka hana maikaʻi-per-watt i nā hana hana kikoʻī x86.

E hoʻohana i ka Case Fit

• EPYC : Mana i ka virtualization, SAP HANA, a me Windows Server environments.
• MTSC7215 : Hoʻopiʻi i nā kaiaola i hoʻopaʻa ʻia e Arm (e laʻa, nā mea hoʻohana ʻo AWS Graviton) a me nā noi e koi ana i ka nui kiʻekiʻe kiʻekiʻe.

MTSC7215 vs. ʻO Xilinx Versal Premium FPGA

Nā ʻokoʻa hoʻolālā

ʻO nā FPGA e like me Xilinxs Versal Premium series he mau mea hoʻoponopono loiloi hou, e ʻae ana i nā mea hoʻohana e hoʻololi i nā lako i nā algorithm kikoʻī. ʻOi aku ka maikaʻi o nā hana e koi ana i nā pipeline maʻamau, e like me ka hoʻoili hōʻailona 5G a i ʻole ka ʻikepili manawa maoli.

ʻO ka MTSC7215, ʻoiai hiki ke hoʻololi ʻia ma o ka lako polokalamu, nele i ka FPGAs hardware-level flexibility akā hāʻawi i ka polokalamu maʻalahi ma o nā mea hoʻopili maʻamau.

Nā Ana Hana Hana

• Nā haʻahaʻa hana maʻamau : Hiki i nā FPGA ke loaʻa he 10x+ mau lanakila ma luna o nā CPU/GPU no nā hana e like me ka hoʻopili ʻana a i ʻole genomics.
• Hoʻohana maʻalahi : ʻOi aku ka maʻalahi o ka MTSC7215s standard programming model (C/C++, Python) ma mua o ka hoʻomohala ʻana o FPGA (HDLs, Vitis toolchain).
• Latency : ʻAlohi nā mea ʻelua i nā hiʻohiʻona haʻahaʻa haʻahaʻa, akā ʻo nā FPGA e hoʻokaʻawale i nā CPU i nā hana sub-microsecond.

Ka Mana Mana

Hoʻohana maʻamau nā FPGA i ka 50100W, e hoʻonui iā lākou ma mua o ka MTSC7215 no nā hana hyper-specialized. Eia naʻe, hāʻule kā lākou hana-per-watt inā hoʻohana ʻole ʻia.

E hoʻohana i ka Case Fit

• Nā FPGA Versal : He kūpono no ka aerospace, pale, a me ke kelepona kahi mea nui loa.
• MTSC7215 : ʻOi aku ka maikaʻi no ka HPC kumu nui me ka wikiwiki AI, e pale ana i ka paʻakikī o ka polokalamu FPGA.

Nā noi o ka honua maoli: ma hea kahi e hoʻomālamalama ai ʻo MTSC7215?

Nānā Hiʻohiʻona 1: Nā ʻIke Ola Ola i alakaʻi ʻia e AI

Ua hoʻomaka ka hoʻomaka ʻana o ka lāʻau lapaʻau i ka MTSC7215s integrated neural accelerators e kau i nā hiʻohiʻona ʻike ʻana i ka tumo i ka manawa maoli ma ka lihi, e hōʻemi ana i ka latency e 25% ʻoiai e ʻoki ana i ka hoʻohana ʻana i ka mana e ka hapalua koʻikoʻi no nā polokalamu diagnostic portable.

Nānā Hiʻohiʻona 2: Nā Pūnaehana ʻIke Cloud-Native

Ua hoʻololi kahi hyperscaler i kāna mau kikowaena Intel-based me MTSC7215-equip racks, e loaʻa ana he 40% hoʻemi i nā kumukūʻai hoʻomaha a me kahi hoʻonui 30% i ka throughput no nā pūʻulu Kubernetes. ʻO ka hoʻohālikelike ʻana o ka Arm architectures me Docker a me Kubernetes i hoʻonui hou i nā hana.

Nānā Haʻawina 3: Nā Kaʻa Kūʻokoʻa

Ma nā noi kaʻa, ua hiki i ka MTSC7215s hiki ke hoʻololi i ka manawa maoli i ka Level 4 autonomy ma o ka hoʻohui ʻana i ka ʻikepili sensor (LiDAR, radar, nā kāmeʻa) me ka inferencing AI on-chip. Hoʻemi kēia i ka hilinaʻi ʻana i nā GPU o waho, e hoʻomaʻamaʻa i ka ʻōnaehana hoʻokele wela o nā kaʻa.

Nā pilikia a me nā palena o MTSC7215

ʻOiai ʻo kona ikaika, ʻaʻole ʻo MTSC7215 kahi hopena honua:
1. Pūnaehana Pūnaehana Pūnaewele : Aia ka lōʻihi o ka lōʻihi o ka lako polokalamu ʻaoʻao ma hope o x86. Pono paha kekahi mau palapala hoʻoilina i ka hoʻopili hou ʻana a i ʻole emulate.
2. Hoʻokō Hoʻokahi-Uila : ʻOiai e hoʻomaikaʻi ana, ke hele nei ʻo ia i nā ʻāpana x86 kiʻekiʻe i nā hana e like me ka helu helu waihona.
3. Makeke Apono : Manaʻo ʻo Intel a me AMD i nā kikowaena ʻikepili; ʻO ka hoʻoneʻe ʻana iā lākou e koi i ke kumu kūʻai koʻikoʻi a me ka hui pū ʻana o ka kaiaola.

Ke koho ʻana i ka mea kūpono no kāu mau pono

Hōʻike ka MTSC7215 i kahi neʻe wiwo ʻole i mua i ke kaulike ʻana i ka hana, ka pono, a me ka hiki ke hoʻololi. He oi ma:
- Nā haʻahaʻa hana kiʻekiʻe (AI, ʻikepili nui).
- Kaiapuni-kaohi (ka helu helu, ʻōnaehana lawe lima).
- Hoʻopili helu huikau hoʻohui i ka CPU a me ka wikiwiki AI.

Eia nō naʻe, no ka hoʻomaʻamaʻa AI maʻemaʻe, nā polokalamu ʻoihana hoʻoilina, a i ʻole nā ​​​​hana FPGA-haʻahaʻa haʻahaʻa haʻahaʻa loa, ʻoi aku ka maikaʻi o nā mea ʻē aʻe e like me NVIDIA GPUs, Intel Xeons, a i ʻole Xilinx FPGA.

I ka hopena, pili ka koho i kāu mau koi kikoʻī:
- E koho iā MTSC7215 inā makemake ʻoe i ka scalable, mana-efficient computing no cloud- native a i ʻole AI-i hoʻonui i nā noi.
- E koho iā Xeon/EPYC inā ʻaʻole hiki ke kūkākūkā ʻia ka hoʻohālikelike ʻana o x86 a me ka hoʻokō ʻana i hoʻokahi kaula.
- E hele pū me nā GPU/FPGA no nā hana kūikawā, kiʻekiʻe-throughput e koi ana i kēlā me kēia auneke o ka hana.

Ke holo nei ka ʻoihana semiconductor i ka helu helu heterogeneous, hōʻike ka MTSC7215 i kahi au hou kahi e noho aliʻi ai ka hana maʻamau a me ka pono. Inā lilo ia i mea koʻikoʻi i nā kikowaena data ʻapōpō a i ʻole kahi mea pāʻani niche e pili ana i ka maikaʻi o ka hoʻololi ʻana i nā koi e ulu nei o AI, autonomy, a ma waho.