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A Bear of a card - Radeon Instinct MI100 "Arcturus" mentioned

williamcll

AMD-Radeon-MI100.png

AMD hasn't relased a new Radeon accelerator card for over a year already, now new driver information have surfaced regarding new graphics card based on either Navi or Big-navi architecture.

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AMD's upcoming large post-Navi graphics chip, codenamed "Arcturus," will debut as "Radeon Instinct MI100", which is an AI-ML accelerator under the Radeon Instinct brand, which AMD calls "Server Accelerators." TechPowerUp accessed its BIOS, which is now up on our VGA BIOS database. The card goes with the device ID "0x1002 0x738C," which confirms "AMD" and "Arcturus,". The BIOS also confirms that memory size is at a massive 32 GB HBM2, clocked at 1000 MHz real (possibly 1 TB/s bandwidth, if memory bus width is 4096-bit). Both Samsung (KHA884901X) and Hynix memory (H5VR64ESA8H) is supported, which is an important capability for AMD's supply chain. From the ID string "MI100 D34303 A1 XL 200W 32GB 1000m" we can derive that the TDP limit is set to a surprisingly low 200 W, especially considering this is a 128 CU / 8,192 shader count design. Vega 64 and Radeon Instinct MI60 for comparison have around 300 W power budget with 4,096 shaders, 5700 XT has 225 W with 2560 shaders, so either AMD achieved some monumental efficiency improvements with Arcturus or the whole design is intentionally running constrained, so that AMD doesn't reveal their hand to these partners, doing early testing of the card.

 

Looking through the BIOS I also found what looks like several clock tables that top out at 1334 MHz, 1091 MHz, 1000 MHz. AMD's engineers typically list clocks in the following order: GPU clock, SOC clock, memory clock. This suggests that the GPU will tick at up to 1334 MHz, way lower than what Navi and Vega were able to achieve — maybe they do that to operate the chip in a more power-efficient way. The memory clock at 1000 MHz, matches the BIOS id string's "1000m", and falls in range with the 2.0 - 2.4 Gbps that Samsung is speccing their HBM2 memory chips at.

Arcturus' debut as a Radeon Instinct product follows the pattern of AMD debuting new big GPUs as low-volume/high-margin AI-ML accelerators first, followed by Radeon Pro and finally Radeon client graphics products. Arcturus is not "big Navi," rather it seems to be much closer to Vega than to Navi, which makes perfect sense given its target market. AMD's Linux sources mention "It's because Arcturus has not 3D engine", which could hint at what AMD did with this chip: take Vega and remove all 3D raster graphics ability, which shaves a few billion transistors off the silicon, freeing up space for more CUs. 

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Source:https://www.techpowerup.com/263743/amd-radeon-instinct-mi100-arcturus-hits-the-radar-we-have-its-bios

https://videocardz.com/newz/amd-radeon-instinct-mi100-with-32gb-hbm2-and-arcturus-gpu-spotted

https://lists.freedesktop.org/archives/amd-gfx/2019-July/036774.html

https://lists.freedesktop.org/archives/amd-gfx/2019-July/036848.html

Thoughts: While none of us here will ever find a use for a card like this, but it does prove that Radeon cards can be made better in its current state, though I would imagine this card will be rather expensive.

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Hm interesting, completely forgot about Arcturus name, I remember it mentioned as accelerator way back too. 128CUs sounds massive though. 

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Didn’t AMD release the M5500 today or recently?

ƆԀ S₱▓Ɇ▓cs: i7 6ʇɥפᴉƎ00K (4.4ghz), Asus DeLuxe X99A II, GT҉X҉1҉0҉8҉0 Zotac Amp ExTrꍟꎭe),Si6F4Gb D???????r PlatinUm, EVGA G2 Sǝʌǝᘉ5ᙣᙍᖇᓎᙎᗅᖶt, Phanteks Enthoo Primo, 3TB WD Black, 500gb 850 Evo, H100iGeeTeeX, Windows 10, K70 R̸̢̡̭͍͕̱̭̟̩̀̀̃́̃͒̈́̈́͑̑́̆͘͜ͅG̶̦̬͊́B̸͈̝̖͗̈́, G502, HyperX Cloud 2s, Asus MX34. פN∩SW∀S 960 EVO

Just keeping this here as a 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6 minutes ago, SlimyPython said:

I wanna see someone game on this

Too bad it has no display outs.

 

I wonder what the yields are on this GPU. I mean, considering the Tesla V100 with its 5120 shaders had a terrible yield, this with its 8192 shaders... Like, jesus.

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39 minutes ago, TheRandomness said:

Too bad it has no display outs.

 

I wonder what the yields are on this GPU. I mean, considering the Tesla V100 with its 5120 shaders had a terrible yield, this with its 8192 shaders... Like, jesus.

It may be possible that the dedicated mining card treatment might work with it, that is if the GPU still has the relevant hardware intact.

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28 minutes ago, Dabombinable said:

It may be possible that the dedicated mining card treatment might work with it, that is if the GPU still has the relevant hardware intact.

lets hope it does

 

edit: or maybe AMD brings out a version that has outputs

✨FNIGE✨

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19 minutes ago, SlimyPython said:

lets hope it does

 

edit: or maybe AMD brings out a version that has outputs

They most likly will at least do a workstation card, but you might just need to wait for them to make one for apple depends on how much they pay them.

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Just now, hishnash said:

They most likly will at least do a workstation card, but you might just need to wait for them to make one for apple depends on how much they pay them.

I dont know where apple as put in this but ok

✨FNIGE✨

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12 minutes ago, SlimyPython said:

I dont know where apple as put in this but ok

Apple generally gets first pick of any AMD silicon, at least from what I've seen.

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28 minutes ago, Dabombinable said:

Apple generally gets first pick of any AMD silicon, at least from what I've seen.

Apple has a lot more $$ than any other of AMDs partners, and they can pay more for the parts, its not like EVGa can release a gpu that costs $5000 and have 1000s of people buy it within a few weeks of it shipping.

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All seem plausible until i saw that TBP. *press X*

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On 2/11/2020 at 3:30 PM, TheRandomness said:

Too bad it has no display outs.

 

I wonder what the yields are on this GPU. I mean, considering the Tesla V100 with its 5120 shaders had a terrible yield, this with its 8192 shaders... Like, jesus.

What's the die size though?  That's what really matters for yields afaik.  Because this is a smaller node than nvidia, and because this chip is (I assume?) all shaders, where as nvidia's dies are shaders + the other RTX stuff, making their chips even larger than they sound based on core count alone, this might be far more doable than it seems at first glance.

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