On April 23, 2026, Intel held a new-generation AI workstation platform launch event in Beijing, officially unveiling the Xeon 600 workstation processor and Arc Pro B70 and B65 GPUs. As AI applications scale and proliferate, enterprises increasingly demand high-performance local computing power. Intel’s latest release aims to provide a more complete and robust hardware foundation for professional heavy-duty scenarios including post-production, engineering design, and scientific computing.
Growing Enterprise AI Computing Demands
With the proliferation of large model training, intelligent agent applications, and multimodal content generation, enterprises are no longer satisfied with cloud computing. Instead, they pursue high-performance output and robust data security through local deployment. This trend drives workstation hardware toward stronger computing power and higher efficiency.
“Xeon 600 workstation processor and Arc Pro B70 together build a more complete and robust foundation for the new generation AI workstation,” said Intel China Technical Director Gao Yu. “They provide powerful momentum for intelligent agent deployment, large model inference, content creation, and professional graphics processing, truly achieving ‘intelligent applications for all scenarios.’”
Xeon 600: Four-Dimensional Upgrade Reshaping Workstation Performance
The Xeon 600 workstation processor is specifically designed for professional heavy-duty scenarios, achieving breakthroughs in four dimensions: performance, expansion, AI acceleration, and management.
In terms of performance leap, it features up to 86 performance cores with 61% multi-threaded performance improvement over the previous generation and boost clock up to 4.8GHz. This configuration ensures smooth response speed when handling complex computing tasks.
Regarding flexible expansion, the processor supports 128 PCIe 5.0 lanes, providing rich and flexible expansion capabilities with the chipset. Whether multi-GPU parallel processing or high-speed storage device connectivity, all needs are fully supported.
For AI acceleration, each core includes Intel AMX engine with native FP16 support. AI and machine learning performance improves by up to 17%. In typical image processing scenarios like noise reduction, speed improves by up to 4-5x. This enhancement effectively reduces enterprise local AI deployment barriers and total cost of ownership.
In enterprise management, the processor leverages Intel vPro technology supporting multi-key memory encryption and one-click recovery. It adapts to tower, rack, and edge deployment forms, meeting enterprise flexible operations needs.
Arc Pro GPUs: Large VRAM Driving AI Inference Revolution
Collaborating with Xeon 600, Intel launched the Arc Pro series graphics cards based on the second-generation Xe2 architecture.
The Arc Pro B70 features 32GB GDDR6 memory with 32 Xe cores delivering 367 TOPS peak AI performance. In AI inference scenarios, this graphics card supports larger AI models and longer context windows. Under multi-user concurrent scenarios, it maintains high throughput and fast response.
Additionally, Arc Pro B70 supports SR-IOV virtualization and 50+ ISV software certifications, enabling flexible multi-card expansion configurations. With a complete Linux software stack (including vLLM, oneAPI, PyTorch), it meets diverse deployment needs.
The Arc Pro B65 also features 32GB memory providing 197 TOPS performance, offering professional users more flexible choices.
Ecosystem Implementation: From Enterprise Agents to Smart Healthcare
Intel did not stop at hardware launches but partnered with ecosystem collaborators to build multi-scenario solutions, transforming high-performance computing into tangible productivity across industries.
For enterprise agents, the Intel-Volcengine co-developed AgentSphere all-in-one machine solution leverages Xeon 600 and Arc Pro B70’s 32GB memory and high-performance local computing. It features higher concurrency, lower latency, and less jitter for multi-agent collaboration. The ready-to-use all-in-one solution reduces AI deployment barriers and maintenance costs.
For smart office, Lenovo’s intelligent conference system Lenovo SCH-900S leverages Arc Pro B70’s excellent memory and AI computing power, achieving multi-conference concurrent access and real-time AI meeting minutes generation, effectively improving communication efficiency.
For knowledge management, Fit2Cloud built an enterprise-grade long-context RAG solution based on Arc Pro B70’s multi-card concurrent capability, supporting efficient multi-card concurrent inference for LLM/VLM, improving processing speed and response quality in enterprise knowledge management and intelligent Q&A scenarios.
For smart healthcare, BDH Healthcare utilizes Intel AI workstation platform to achieve precise medical record content quality control and medical record-assisted generation applications, helping medical institutions improve diagnosis and treatment quality and efficiency.
For creative production, Yixin Shanhui leverages Arc Pro B70’s 32GB memory and AI computing power to generate detailed digital artworks from hand-drawn sketches in seconds, unleashing artists’ creative potential.
Market Outlook: New Choices for Professional Heavy-Duty Scenarios
This launch marks Intel’s continued deep cultivation in professional computing. For professional users in film post-production, engineering design, scientific computing, and AI model training and inference, consumer-grade processors with ordinary graphics cards can no longer meet their needs.
The Intel platform’s combination of 86-core processor and 32GB VRAM graphics card provides enterprises with new hardware options for addressing challenges like high large model deployment costs, data security, and response efficiency. As AI technology penetrates deeper into various industries, demand for local computing power is expected to continue growing. Intel’s product iteration this time may bring broader and deeper industrial application momentum to the entire workstation ecosystem.
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