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MSI PRO MAX EDGE AI+ Runs Large AI Models Locally
MSI has launched the PRO MAX EDGE AI+, a compact desktop system designed for local artificial intelligence inference. The machine combines an AMD Ryzen AI Max processor with a large unified-memory pool, allowing it to accommodate language models that would exceed the dedicated graphics memory available on most consumer GPUs. Configurations extend to the AMD Ryzen AI Max+ 395, which combines CPU cores, RDNA 3.5 integrated graphics and an XDNA 2 neural processing unit. The graphics section provides up to 40 compute units, while the NPU is rated for as much as 50 TOPS. MSI lists up to 126 TOPS of combined AI performance for the complete platform. That combined figure represents the theoretical output of multiple processing engines rather than the performance of one component. The results obtained in real applications will depend on whether the software can use the CPU, Radeon GPU and NPU effectively. Model format, inference engine, numerical precision and memory bandwidth will also have a substantial effect on performance. The PRO MAX EDGE AI+ can be configured with up to 128 GB of LPDDR5X-8000 unified memory. As much as 96 GB can be assigned as variable graphics memory, giving the integrated GPU access to a substantially larger memory allocation than an ordinary consumer graphics card. Because the CPU and GPU share the same physical pool, data does not always need to be duplicated between separate system and graphics memory. MSI says the 128 GB configuration can run large language models with up to 120 billion parameters. This maximum will generally require some form of quantization because the operating system, inference software and context cache also consume memory. Model architectures with identical parameter counts can furthermore have different practical requirements. The system is housed in a four-liter enclosure and uses MSI Frozr AI Pro Cooling together with the company's Glacier Armor thermal design. The cooling arrangement is intended to control temperatures during sustained inference sessions. Independent testing will be necessary to determine its long-duration performance, operating temperatures and acoustic output. Multiple PRO MAX EDGE AI+ desktops can also be linked in a distributed cluster. MSI claims that a clustered configuration can run models containing up to 670 billion parameters by combining the memory and processing resources of several systems. The achievable performance will depend on the number of connected nodes, networking hardware and support within the selected inference framework. Running models locally can keep prompts, documents and other sensitive information away from external cloud services. This makes the system potentially useful for private document analysis, local assistants, software development and retrieval-augmented generation. However, local processing does not automatically provide complete security; organizations must still implement suitable storage encryption, access controls and network policies. MSI has not disclosed pricing or a detailed regional availability schedule. Those details will be important when comparing the system with conventional GPU workstations, multi-GPU servers and rented cloud-computing services. Specification MSI PRO MAX EDGE AI+ Processor platform AMD Ryzen AI Max 300 Series Maximum processor AMD Ryzen AI Max+ 395 Integrated graphics AMD RDNA 3.5, up to 40 compute units Neural processor AMD XDNA 2 NPU NPU performance Up to 50 TOPS Combined AI performance Up to 126 TOPS System memory Up to 128 GB LPDDR5X-8000 unified memory Variable graphics memory Up to 96 GB Single-system model support Up to 120 billion parameters, subject to model format and quantization Clustered model support Up to 670 billion parameters across multiple systems Chassis volume Approximately 4 liters Cooling MSI Frozr AI Pro Cooling and Glacier Armor Pricing Not announced Source: MSI
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MSI launches compact PRO MAX EDGE AI+ desktops, with up to Ryzen AI Max+ 395 and 128GB of memory
Thanks to advances in silicon, namely chips like the powerful AMD Ryzen AI Max+ 300 Series, compact desktops and mini PCs that can support local AI have become something of a mainstay in recent times. And this is exactly where MSI's compact and minimal PRO MAX EDGE AI+ desktops fit in, as they can support and ship with up to 128GB of LPDDR5X-8000 unified memory, with up to 96GB able to be dynamically allocated as VRAM for the GPU. The MSI PRO MAX EDGE AI+ ships with a compact 4-liter aluminum chassis, and underneath the hood it ships with up to an AMD Ryzen AI Max+ 395 processor. Yes, this makes the PRO MAX EDGE AI+ desktop another 'Strix Halo' device, which pairs a 16-core, 32-thread processor with integrated Radeon 8060S graphics with 40 RDNA 3.5 Compute Units. This combination makes it an on-device AI system that MSI says can support up to 126 TOPS of total AI performance across the NPU and GPU. In real-world usage, this is enough to run LLMs with up to 120 billion parameters. And for the tokenmaxxing, it can support up to 15 tokens/sec when running 109 billion parameter models. Naturally, with Radeon 8060S graphics, the MSI PRO MAX EDGE AI+ desktop is a capable PC gaming device, with 60+ FPS performance at 1440p when running Cyberpunk 2077 and Forza Horizon 5 with ray-tracing. Of course, this is a desktop built for local AI, as the design supports connecting up to four MSI PRO MAX EDGE AI+ desktops to run a cluster with expanded AI performance. Outside of tapping into the Ryzen AI Max+ 300 Series, MSI PRO MAX EDGE AI+ desktops are also equipped with impressive specs and technology. In addition to dual PCIe Gen4 M.2 slots, you've got an advanced Wi-Fi 7 module for high-speed wireless networking, dual USB 40Gbps Type-C ports, five USB 10Gbps Type-A ports, and both HDMI 2.1 and DisplayPort 1.4a for up to four displays. Throw in a built-in 300W power supply and a Frozr AI Cooling Pro with Glacier Armor thermal solution that includes SSD heatsinks and triple-fan cooling, and the MSI PRO MAX EDGE AI+ desktop is built for heavy workloads, no matter if it's AI, creative, or gaming.
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MSI Launches PRO MAX EDGE AI+, Featuring Up To Ryzen AI Max+ 395 For Delivering 126 AI TOPS Of Power
MSI has one more AI mini PC for enthusiasts that can deliver high-performance computing and carry out AI workloads locally. MSI Debuts PRO MAX EDGE AI+ Mini PC, Supporting Multi-System Clustering for Handling LLMs With Up To 670 Billion Parameters Some vendors still deploy Ryzen AI 300 chips in their mini PCs due to their powerful computing capabilities and strong AI performance, making them perfect for small AI systems. MSI has already released a couple of AI mini PCs based on the latest AMD chips, and has now rolled out another one, featuring the Strix Halo chips. MSI says the PRO MAX EDGE AI+ is a powerful AI mini PC that offers exceptional AI performance and also keeps your data safe through enterprise-grade privacy and security. The mini PC brings the power of AMD Ryzen AI Max+ 300 chips and offers up to 16-core/32-thread chips like the Ryzen AI Max+ 395 processor. This chip is the flagship SKU in the lineup, bringing Radeon 8060S integrated graphics, which features 40 Compute Units that make gaming and carrying out intensive graphical workloads effortless. The processor has built-in XDNA 2 NPU, which offers 50 TOPS of AI power, while the combined AI power of the Ryzen AI Max+ 395 peaks at 126 TOPS, enabling the system to perform intensive local AI workloads. The MAX EDGE AI+ offers up to 128 GB LPDDR5-8000 unified memory, sufficient for running Large Language Models with up to 120 billion parameters. However, users can further boost AI performance through multi-system clustering, where multiple PRO MAX EDGE AI+ devices can handle LLMs with up to 670 billion parameters for even faster processing. To ensure the system can run cooler, the PRO MAX EDGE AI+ uses Frozr AI Pro cooling and MSI Glacier Armor inside a compact 4-liter chassis that keeps overheating at bay at sustained workloads. News Source: MSI Follow Wccftech on Google to get more of our news coverage in your feeds.
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MSI launched the PRO MAX EDGE AI+, a compact desktop system powered by AMD's Ryzen AI Max+ 395 processor with up to 128GB of unified memory. The 4-liter system can run large language models with up to 120 billion parameters locally, while multiple units can be clustered to handle models with up to 670 billion parameters.
MSI has introduced the MSI PRO MAX EDGE AI+, a compact desktop system engineered for local AI inference that keeps sensitive data away from cloud services. The machine leverages AMD's Ryzen AI Max+ 395 processor alongside a substantial unified memory pool, enabling it to accommodate large language models that would typically exceed the dedicated graphics memory available on most consumer GPUs
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. Housed in a 4-liter aluminum chassis, this compact desktop system addresses growing demand for on-device AI processing across software development, document analysis, and retrieval-augmented generation workflows2
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Source: TweakTown
The flagship configuration features the Ryzen AI Max+ 395, which integrates a 16-core, 32-thread processor with Radeon 8060S integrated graphics containing 40 RDNA 3.5 compute units. The chip includes an XDNA 2 NPU rated for up to 50 TOPS of dedicated neural processing power
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. MSI lists up to 126 AI TOPS of combined AI performance across the CPU, GPU, and NPU, though real-world results depend on whether software can effectively utilize all processing engines simultaneously1
. Model format, inference engine, numerical precision, and memory bandwidth significantly affect actual throughput during local AI workloads.The system supports up to 128GB of LPDDR5X-8000 unified memory, with as much as 96GB dynamically assignable as variable graphics memory for the integrated GPU
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. This shared memory architecture eliminates the need to duplicate data between separate system and graphics pools, providing the Radeon 8060S with substantially more memory allocation than typical consumer graphics cards. MSI claims the 128GB configuration can run large language models with up to 120 billion parameters, though this maximum generally requires quantization since the operating system, inference software, and context cache also consume memory1
. In practical usage, the system delivers up to 15 tokens per second when running 109 billion parameter models2
.Multiple PRO MAX EDGE AI+ units can be linked through clustering to expand processing capacity beyond single-system limits. MSI states that a clustered configuration can handle models containing up to 670 billion parameters by combining memory and processing resources across up to four connected systems
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. Achievable AI performance in such configurations depends on the number of nodes, networking hardware quality, and framework support within the selected inference software1
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MSI equipped the mini PC with Frozr AI Pro Cooling and Glacier Armor thermal design to manage temperatures during sustained inference sessions, though independent testing will determine long-duration performance and acoustic output
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. The system includes dual PCIe Gen4 M.2 slots with SSD heatsinks, triple-fan cooling, and a built-in 300W power supply2
. Connectivity features Wi-Fi 7, dual USB 40Gbps Type-C ports, five USB 10Gbps Type-A ports, and both HDMI 2.1 and DisplayPort 1.4a outputs supporting up to four displays2
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Source: Guru3D
Running models locally through the PRO MAX EDGE AI+ keeps prompts, documents, and sensitive information away from external cloud services, addressing privacy concerns for enterprise users
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. However, local AI processing alone doesn't guarantee complete security—organizations must still implement storage encryption, access controls, and network policies. MSI has not disclosed pricing or detailed regional availability, information that will prove critical when comparing this system against conventional GPU workstations, multi-GPU servers, and rented cloud-computing services1
. The Radeon 8060S also delivers 60+ FPS at 1440p in titles like Cyberpunk 2077 and Forza Horizon 5 with ray-tracing enabled, making it viable for gaming workloads beyond AI tasks2
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