Intel launches $299 Arc Pro B50 with 16GB of memory, 'Project Battlematrix' workstations with 24GB Arc Pro B60 GPUs
Arc Pro arrives for inference workstations.
Intel has announced its Arc Pro B-series of graphics cards at Computex 2025 in Taipei, Taiwan, with a heavy focus on AI workstation inference performance boosted by segment-leading amounts of VRAM. The Intel Arc Pro B50, a compact card that's designed for graphics workstations, has 16GB of VRAM and will retail for $299, while the larger Intel Arc Pro B60 for AI inference workstations slots in with a copious 24GB of VRAM. While the B60 is designed for powerful 'Project Battlematrix' AI workstations sold as full systems ranging from $5,000 to $10,000, it will carry a roughly $500 per-unit price tag.
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Intel has focused on leveraging the third-party GPU ecosystem to develop its Arc Pro cards, in contrast to its competitors, who tend to release their own-branded cards for the professional segment. That includes partners like Maxsun, which has developed a dual-GPU card based on the B60 GPU. Other partners include ASRock, Sparkle, GUNNR, Senao, Lanner, and Onix.
Both the B50 and B60 GPUs are now being sampled to Intel partners, as evidenced by a robust display of partner cards and full systems on display, and will arrive on the market in the third quarter of 2025. Intel will initially launch the cards with a reduced software featureset, but will add support for features like SRIOV, VDI, and manageability software in the fourth quarter of the year.
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The Intel Arc Pro B50 has a compact dual-slot design for slim and small-form-factor graphics workstations. It has a 70W total board power (TBP) rating and does not have external power connectors. The GPU wields 16 Xe cores and 128 XMX engines that deliver up to 170 peak TOPS, all fed by 16GB of VRAM that delivers 224 GB/s of memory bandwidth. The card also sports a PCIe 5.0 x8 interface, which Intel credits with speeding transfers from system memory, ultimately delivering 10 to 20% more performance in some scenarios.
The B50's 16GB of memory outweighs its primary competitors in this segment, which typically come armed with 6 or 8GB of memory. The card also has certified drivers that Intel claims deliver up to 2.6X more performance than the baseline gaming drivers.
Intel shared a slew of benchmarks against the competing Nvidia RTX A1000 8GB and the previous-gen A50 6GB, but as with all vendor-provided benchmarks, take them with a grain of salt (we included the test notes at the end of the article). In graphics workloads, Intel claims up to a 3.4X advantage over its previous-gen A50, and solid gains across the board against the RTX A1000. It sports similar advantages in a spate of AI inference benchmarks.
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The Intel Arc Pro B60 has 20 Xe cores and 160 XMX engines fed by 24GB of memory that delivers 456 GB/s of bandwidth. The card delivers 197 peak TOPS and fits into a 120 to 200W TBP envelope. This card also comes with a PCIe 5.0 x8 interface.
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Intel supports multiple B60 GPUs on a single board, as evidenced by Maxsun's GPU, with software support in Linux for splitting workloads across both GPUs (each GPU interfaces with the host on its own bifurcated PCIe 5.0 x8 connection).
Intel's benchmarks again highlighted the advantages of the B60's 24GB of memory vs the competing RTX 200 Ada 16GB and RTX 5060Ti 16GB GPUs, claiming this can impart gains of up to 2.7X over the competition in various AI models. Intel also highlighted the advantages of higher memory capacity in model size, context, and concurrency scaling.
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The Intel Arc Pro B60 will primarily come in pre-built inference workstations ranging from $5,000 to $10,000, dubbed Project Battlematrix. The goal is to combine hardware and software to create one cohesive workstation solution. However, the per-unit cost will be in the range of $500 per GPU, depending on the specific model.
Project Battlematrix workstations, powered by Xeon processors, will come with up to eight GPUs, 192GB of total VRAM, and support up to 70B+ parameter models.
Intel is working to deliver a validated full-stack containerized Linux solution that includes everything needed to deploy a system, including drivers, libraries, tools, and frameworks, that's all performance optimized, allowing customers to hit the ground running with a simple install process. Intel will roll out the new containers in phases as its initiative matures.
Intel also shared a roadmap of the coming major milestones. The company is currently in the enablement phase, with ISV certification and the first container deployments coming in Q3, eventually progressing to SRIOV, VDI, and manageability software deployment in Q4.
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Intel's partners had multiple Project Battlematrix systems up and running live workloads in the showroom, highlighting that development is already well underway.
One demo included a system running the full 675B parameter Deepseek model entirely on a single eight-GPU system, with 256 experts running on the CPU and the most frequently used experts running on the GPU.
Other demos included running and finding bugs in code, an open enterprise platform for building RAGs quickly, and a RAG orchestration demo, among others.
As noted above, the Intel Arc Pro B50 and Intel Arc Pro B60 will arrive on the market in the third quarter of 2025.
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Paul Alcorn is the Editor-in-Chief for Tom's Hardware US. He also writes news and reviews on CPUs, storage, and enterprise hardware.
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Mindstab Thrull IF it ends up being a good AI GPU, you could fit four in a typical PC chassis as long as your motherboard has sufficient slots. Four PCIE slots means 96GB VRAM which is a lot for handling AI on a home server and only be about $2000 for GPU's. Sounds like fun!Reply
... Calling Wendell at Level1Techs? :) -
jlake3 Reply
With all due respect, I’m not sure how this is consumer, AI-dedicated, or leading?baboma said:Good to see Intel taking the lead on dedicated AI GPUs for the consumer market. Pricing is pretty amazing. Hope to see more coverage of these once they come to market.
B50/B60 are explicitly part of the workstation line up, and run professional drivers
The standard display pipelines are enabled, and they’re equipped with the normal amount of outputs
2025Q3, with “full enablement” in Q4 is hardly first to the party when it comes to using workstation GPUs for AITwo B60s on one PCB is a neat twist that was only being done in rack mount servers and not tower workstations, but if one B60 costs $500 I’d expect the dual version to cost 2x plus a premium for complexity and density. -
cyrusfox Reply
Disagree here, there is certain workloads (LLM) which are memory hungry (higher precision models) and the battlemage architecture supplies sufficient throughput to make this a viable product especially in the price range these are marketed at ($300 for a B50). The B580 is capable of 30 tokens per second, compare that to Chatgpt, which charges ~1$ per million tokens, a B580 would produce 30*3600*24=2.5 million tokens a day, so equivalent of ~$2.50. Roughly pay for itself in ~100 days, payoff slower if electricity cost is factored in. This has a lot of parallels to crypto workloads.abufrejoval said:I predict a future as bright and long as Xeon Phi, only much accelerated.
This tastes much more like a desperate attempt to moderate the fall of stock prices than honest delusions, of which Intel had aplenty.
Not even the best and greatest single shot product really has much of a chance in that market. Unless the vast majority of potential buyers truly believe that you have a convincing multi-generation roadmap which you'll be able to execute, nobody is going to invest much thought, let alone commit budgets and people in that direction, just look at how hard it is already for AMD.
And they have a little more to offer than one entrly level GPU chip that fails to sell even with a high-price competition.
These professional cards come with more vram by default and the B50 should be capable of 24 tokens/s, B60 same as the b580, and the dual version double that (it scales quite well as long as bandwidth between units is high).
No one else is offering this much memory bandwidth at this price, intel is serving an unfulfilled market and these should be as hard to find as a b580- due to the lack of competition. While it won't game as well b570 or b580 especially, but for these will perform exceptionally well for professional workloads as long as you don't need CUDA. As these are 1/4 or less the price of the competing RTX pro, these should do quite well. -
User of Computers Reply
I agree herecyrusfox said:Disagree here, there is certain workloads (LLM) which are memory hungry (higher precision models) and the battlemage architecture supplies sufficient throughput to make this a viable product especially in the price range these are marketed at ($300 for a B50). The B580 is capable of 30 tokens per second, compare that to Chatgpt, which charges ~1$ per million tokens, a B580 would produce 30*3600*24=2.5 million tokens a day, so equivalent of ~$2.50. Roughly pay for itself in ~100 days, payoff slower if electricity cost is factored in. This has a lot of parallels to crypto workloads.
These professional cards come with more vram by default and the B50 should be capable of 24 tokens/s, B60 same as the b580, and the dual version double that (it scales quite well as long as bandwidth between units is high).
No one else is offering this much memory bandwidth at this price, intel is serving an unfulfilled market and these should be as hard to find as a b580- due to the lack of competition. While it won't game as well b570 or b580 especially, but for these will perform exceptionally well for professional workloads as long as you don't need CUDA. As these are 1/4 or less the price of the competing RTX pro, these should do quite well. -
User of Computers Reply
They have the silicon. Why not put in the software work and take a piece of a much bigger pie than the consumer low-end would ever offer?abufrejoval said:This tastes much more like a desperate attempt to moderate the fall of stock prices than honest delusions, of which Intel had aplenty. -
thestryker Reply
Given that it's a PCIe 5.0 x8 GPU which doesn't need a ton of power I'm guessing the only thing they share is power delivery, display output routing and cooling. That shouldn't particularly add much of anything to the cost of manufacture so I'd bet any premium would be based on market demand.jlake3 said:Two B60s on one PCB is a neat twist that was only being done in rack mount servers and not tower workstations, but if one B60 costs $500 I’d expect the dual version to cost 2x plus a premium for complexity and density. -
User of Computers Reply
They do not share power delivery.thestryker said:Given that it's a PCIe 5.0 x8 GPU which doesn't need a ton of power I'm guessing the only thing they share is power delivery, display output routing and cooling. That shouldn't particularly add much of anything to the cost of manufacture so I'd bet any premium would be based on market demand.
edit- the gamers nexus video shows that they're essentially 2 full graphics cards (GPU, mem, PD and such) put onto the same PCB -
thestryker Reply
There's a single power connector which means they share power delivery even if each GPU has its own VRM setup.User of Computers said:They do not share power delivery.
edit- the gamers nexus video shows that they're essentially 2 full graphics cards (GPU, mem, PD and such) put onto the same PCB