Intel Arc Pro B60 (24GB)

The Intel Arc Pro B60 steps up from the B50 to 24GB of memory on the same Xe2 “Battlemage” architecture, aimed squarely at AI inference, generative design, and 3D workloads where memory capacity matters as much as raw compute. Intel does not manufacture a reference-design B60 — every card ships from a board partner (ASRock, Sparkle, and others), built to Intel’s reference specification, so this listing is a partner card faithful to that spec rather than an Intel-branded reference board.

Key Features

• 24GB GDDR6 on a 192-bit bus — at up to 456GB/s of bandwidth, well ahead of most cards in its price class and enough to hold meaningfully large quantized AI models or complex 3D scenes entirely in VRAM.
• 20 Xe2 Cores, 160 XMX Engines — a step up from the B50’s core count, with 20 dedicated ray tracing units for professional visualization work.
• 197 TOPS INT8 AI performance — strong dedicated matrix acceleration for AI inference workloads, purpose-built for the low-precision math that dominates modern LLM and vision-model inference.
• 12.28 TFLOPS FP32 compute — solid general shader performance for CAD, rendering, and design applications.
• Multi-GPU ready — pairs of B60 cards can combine (Intel’s “Battlemage” dual-GPU and Project Battlematrix configurations) to pool up to 48GB of addressable memory for larger models.
• PCIe 5.0 x8 interface — modern interface bandwidth with efficient, scalable power delivery.
• 120-200W total board power — a wide, partner-dependent power envelope that lets board vendors tune for either efficiency or maximum clocks.

Serious Memory Capacity for AI Inference and 3D Work

The B60’s headline feature is memory: 24GB is a genuinely large pool for a card in this price bracket, and it changes what’s realistically possible locally. Quantized LLMs in the 13B–34B range, larger diffusion and vision models, and dense 3D scenes with high-resolution textures all fit comfortably, where a 12GB or 16GB card would force compromises on batch size, context length, or scene complexity. For AI developers and small studios evaluating local inference hardware, that memory headroom — paired with 197 TOPS of dedicated INT8 throughput — makes the B60 a genuinely competitive option against similarly priced cards from AMD and NVIDIA, and the multi-GPU pooling option gives a clear, affordable upgrade path to 48GB for teams that outgrow a single card.

For 3D and generative design workloads, the combination of 24GB, 20 dedicated ray tracing units, and Intel’s Xe2 rendering pipeline supports professional visualization and CAD applications that need to hold large assemblies or high-poly scenes in memory without swapping. Intel has been actively expanding ISV certifications and driver validation for the Arc Pro line, closing the gap with the more established professional driver programs from AMD and NVIDIA.

The honest caveat is the same one that applies across Intel’s discrete GPU push: this is a newer software ecosystem, and while Intel’s oneAPI, OpenVINO, and driver stack have matured quickly and now support the mainstream AI and CAD frameworks most teams rely on, it doesn’t yet have the sheer breadth of tooling and community support that CUDA has built over more than a decade. For teams using standard, well-supported frameworks — llama.cpp, PyTorch with Intel extensions, OpenVINO-based inference, mainstream CAD applications — the B60 delivers strong, genuinely competitive performance per pound. For bleeding-edge research code that assumes NVIDIA hardware, expect more setup work. Given that every B60 ships from a board partner rather than an Intel reference design, exact clocks, cooling, and connector layout vary slightly by vendor, but all cards adhere to Intel’s core specification below.

Specifications

• Architecture: Intel Xe2 “Battlemage,” TSMC N5
• Xe2 Cores: 20 (160 XMX engines, 20 ray tracing units)
• Memory: 24GB GDDR6, 192-bit bus
• Memory Bandwidth: Up to 456GB/s
• Compute Performance: 12.28 TFLOPS FP32 / up to 197 TOPS INT8
• Total Board Power: 120-200W (partner-dependent)
• Interface: PCIe 5.0 x8
• Multi-GPU: Pairable for up to 48GB pooled memory
• Availability: Board-partner card built to Intel reference specification (no Intel-branded reference card exists)