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popularSuryasis posted Yesterday 03:22 AM
popularSuryasis posted Yesterday 03:22 AM

Asrock Intel Arc Pro B70 256 Bit 32GB GDDR6 PCIe 5.0 x16 Workstation Graphics Card @ $1000 (Back Ordered) + F/S

$1,000

Newegg
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Link: https://www.newegg.com/asrock-b70...6814930149

ETA Date: 4/3/2026.

Spec:
  • Asrock B70 CT Arc Pro B70 Graphics Card
  • 32GB 256 Bit GDDR6 Memory
  • 32 Intel® Xe2-HPG Cores
  • 256 XMX AI Engines (Intel® Xe Matrix eXtensions)
  • 32 RT Cores
  • 2540 MHz GPU Clock
  • 19 Gbps Memory Speed
  • 608 GB/s Bandwidth
  • 1x 12V-2x6-pin Power Connector
  • I/O:
    • 1x DisplayPort™ 2.1 (Primary, up to UHBR13.5)
    • 3x DisplayPort™ 2.1 (up to UHBR10)
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Deal Details
Product Info
Community Notes
About the Poster
Link: https://www.newegg.com/asrock-b70...6814930149

ETA Date: 4/3/2026.

Spec:
  • Asrock B70 CT Arc Pro B70 Graphics Card
  • 32GB 256 Bit GDDR6 Memory
  • 32 Intel® Xe2-HPG Cores
  • 256 XMX AI Engines (Intel® Xe Matrix eXtensions)
  • 32 RT Cores
  • 2540 MHz GPU Clock
  • 19 Gbps Memory Speed
  • 608 GB/s Bandwidth
  • 1x 12V-2x6-pin Power Connector
  • I/O:
    • 1x DisplayPort™ 2.1 (Primary, up to UHBR13.5)
    • 3x DisplayPort™ 2.1 (up to UHBR10)

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Yesterday 03:27 AM
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EthanH5438Yesterday 03:27 AM
356 Posts
Is it closer to a 3090?
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Yesterday 03:43 AM
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SuryasisYesterday 03:43 AM
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Our community has rated this post as helpful. If you agree, why not thank Suryasis

Quote from EthanH5438 :
Is it closer to a 3090?
In gaming performance, probably not. This is targeted as a Workstation/LLM Interencing Graphics card an on that regards, it is better than most cards at this price bracket.
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Yesterday 04:30 AM
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TMA-1Yesterday 04:30 AM
813 Posts
Quote from Suryasis :
In gaming performance, probably not. This is targeted as a Workstation/LLM Interencing Graphics card an on that regards, it is better than most cards at this price bracket.
Out of curiosity, what type of scale would you need where moving to a co-located or cloud (AWS, Azure, Oracle, etc) is cheaper than on-prem systems for LLMs?
Yesterday 04:40 AM
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cheshirecatYesterday 04:40 AM
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Does it support tensor parallelism? Full Linux support? (B60 was weirdly favoring Windows)
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Yesterday 05:37 AM
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SuryasisYesterday 05:37 AM
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Quote from cheshirecat :
Does it support tensor parallelism? Full Linux support? (B60 was weirdly favoring Windows)
Yes it does, and especially excels in AI Inferencing. Check this Video: -
https://www.youtube.com/watch?v=DTJr2msyqGY&t=2s
You can literally stack multiple of this GPU in a Server and they can work together to handle multiple prompts coming from users. And Linux Support is full. However, keep in mind, Intel has been updating their stack regularly but it is still far behind CUDA and even AMD ROCm. The model supports are not the lastest one most of the times, you need to work with slightly older version which is compatible with Intel Software stack.
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Yesterday 05:37 AM
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SuryasisYesterday 05:37 AM
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Quote from TMA-1 :
Out of curiosity, what type of scale would you need where moving to a co-located or cloud (AWS, Azure, Oracle, etc) is cheaper than on-prem systems for LLMs?
I'm no expert on this but if you can clarify your ask in a bit details then I can try to answer.
Yesterday 01:15 PM
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jackharvestYesterday 01:15 PM
2,019 Posts
As soon as I can run a mini Claude locally with a gargantuan context window, I'll buy this instantly.

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Yesterday 10:52 PM
667 Posts
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UniqueSoda2365Yesterday 10:52 PM
667 Posts
Correct me if im wrong, but NVIDIA is still much better and easier for all Local model stuff right?

Last I checked, there's a reason Nvidia cards cost so much more at the moment.
Yesterday 10:59 PM
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JimR2075Yesterday 10:59 PM
1,742 Posts
Quote from UniqueSoda2365 :
Correct me if im wrong, but NVIDIA is still much better and easier for all Local model stuff right?

Last I checked, there's a reason Nvidia cards cost so much more at the moment.
I don't know about 'easier', but this card is supposed to be equal performance of nVidia cards that cost twice as much. So if reports are true, this is 1/2 the price vs Nvidia.
Today 12:22 AM
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Evan55Today 12:22 AM
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Anyone accustomed to using the latest chatGPT or Claude or Gemini will be very disappointed with an open model that can fit in 32gb of vram.
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