Intel Arc Pro B70 GPU brings 32GB VRAM to AI inference at half the price of Nvidia's rival

Intel Unveils Arc Pro B70 GPU With 32 Xe Cores for AI Workloads

Intel has launched its most powerful Battlemage GPU to date, but it's not the gaming card enthusiasts have been waiting for. The Arc Pro B70 and Arc Pro B65 are workstation graphics cards designed specifically for AI inference and professional applications, marking Intel's aggressive push into the local AI market 1

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. The Arc Pro B70 features 32 Xe Cores running at 2800 MHz, delivering 22.9 TFLOPS of FP32 compute performance and 367 TOPS of INT8 AI performance 2

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. This represents a 60% increase in cores compared to Intel's second-fastest chip in the series, positioning it as the company's fastest graphics processor to date.

The hardware includes 4,096 pixel shaders, 32 ray-tracing units, and 256 XMX engines that drive AI performance 2

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. Intel has equipped the card with a 256-bit memory bus and 32GB of 19 Gbps GDDR6 memory, enabling 608 GB/s of memory bandwidth 1

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. The Arc Pro B70 can operate within a wide power envelope of 160W to 290W, with Intel's reference design rated at 230W 3

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32GB VRAM Targets Memory-Hungry AI Models and Local Inference

The standout feature of both cards is their 32GB VRAM configuration, a specification that directly addresses the memory capacity demands of AI workloads. For LLM inference workloads, fitting both AI models and context in GPU-local memory is critical to achieving optimal performance 1

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. The large memory pool helps when working with bigger models and heavier datasets, particularly in professional applications where data spilling into system memory degrades performance 5

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The Arc Pro B65 maintains the same 32GB memory capacity and 608 GB/s memory bandwidth as its more powerful sibling but reduces compute capability to 20 Xe Cores—identical to the existing Arc Pro B60 1

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. This configuration targets users who need substantial memory for professional and creative applications but don't require the additional horsepower. The B65 delivers 197 TOPS of INT8 performance and is rated for 200W typical board power 4

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Aggressive Pricing Positions Intel Against Nvidia's RTX Pro 4000

Intel has priced the Arc Pro B70 at $949, positioning it directly against Nvidia's RTX Pro 4000 Blackwell card, which costs $1,800 and offers only 24GB of memory 2

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. The price difference appears deliberate, with Intel's card costing roughly half as much while providing superior memory capacity for running larger AI models 4

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. Intel's internal testing showed the Arc Pro B70 achieved significantly higher token throughput while handling AI workload requests from multiple users, and demonstrated advantages for larger context windows and time-to-first-token latency 1

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The Arc Pro B70 also undercuts AMD's $1,299 Radeon AI Pro R9700, which had been another relatively affordable path to 32GB on a local AI card 1

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. Intel emphasizes cost-per-token advantages across a range of models, noting that at $949 per card, any number of Arc Pro B70s would cost less than a single RTX Pro 4000 1

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. Pricing for the Arc Pro B65 has not been announced but will arrive in mid-April 1

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Multi-GPU Scaling and Partner Ecosystem for AI Deployment

Intel highlights multi-GPU support in its software stack, allowing users to scale LLM serving across multiple Arc Pro cards to increase memory capacity for larger context windows, larger models, or both 1

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. The cards can be configured in arrays of two, four, or eight units in workstation or server rack modules 2

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. This scalability matters for organizations running multiple AI models simultaneously or pooling memory allowances for models too large for a single card's capacity.

Partner cards will be available from ARKN, ASRock, Gunnir, Maxsun, and Sparkle, with varying thermal solutions and design changes 1

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. Maxsun has announced two versions: a 32G Turbo edition with active cooling featuring a blower fan and vapor chamber, and a 32G Fanless edition for server environments with controlled chassis airflow 5

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. Both cards connect via PCI Express 5.0 x16 and support Intel's oneAPI, OpenCL 3.0, and OpenVINO, with certified drivers for Windows 10, Windows 11, and Linux 3

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Software Stack Challenges and the Nvidia CUDA Moat

While the hardware specifications appear competitive, Intel faces significant software challenges. Nvidia's CUDA moat remains wide, and buyers considering an Arc Pro-powered solution would need to account for potential time and costs involved in handling issues of application support and stability on Intel's platform 1

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. The relatively low cost of entry might appeal to organizations spinning up experimental on-premise AI servers for local usage, but more seasoned AI developers working toward scaling applications both locally and in the cloud will likely prefer systems built around Nvidia's offerings for compatibility, scalability, and total cost of ownership.

Intel showcased most of its performance wins against the RTX Pro 4000 using models with BF16 quantizations, which obscures the Blackwell card's potential performance advantages with increasingly popular lower-precision data types like Nvidia's NVFP4 1

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. The XMX matrix acceleration of Battlemage only extends down to FP16 and INT8 data types, while Blackwell supports a much wider range of reduced-precision formats. Nvidia also offers several RTX Pro cards above the RTX Pro 4000, allowing AI systems architects to precisely tailor memory and compute requirements without spreading workloads across multiple cards.

Gaming Dreams Deferred as Memory Prices and AI Boom Shift Priorities

The Arc Pro B70 is based on the G31 GPU that gamers have been anticipating as a potential Arc B770 gaming card 4

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. The presence of 32 ray-tracing cores confirms this GPU was originally intended as a gaming chip, but the AI boom and spike in memory prices have apparently killed prospects for launching G31 as a consumer product not for gaming 4

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. The consensus suggests that current silicon and memory supply constraints, combined with the lucrative AI market, have redirected Intel's priorities away from gaming applications for this hardware 1

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. The Arc Pro B70 launched on March 31, the same day Intel released its Core Ultra 7 270K Plus and Core Ultra 5 250K Plus CPUs 2

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