CHUWI UniBox AI495 Pro Packs Ryzen AI Max+ PRO 495 and 192GB Memory Into a 2.9L Mini PC

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CHUWI UniBox AI495 Pro Packs Ryzen AI Max+ PRO 495 and 192GB Memory Into a 2.9L Mini PC

CHUWI has unveiled the UniBox AI495 Pro, a compact 2.9 litre mini PC built around AMD's Ryzen AI Max+ PRO 495 processor and up to 192GB of unified LPDDR5X memory.

The system is designed heavily around local AI workloads and can allocate as much as 160GB of its memory as video memory. CHUWI says the machine can run large language models with up to 300 billion parameters locally, depending on the model and configuration.

Pricing and availability have not yet been announced.

SpecificationCHUWI UniBox AI495 Pro
ProcessorAMD Ryzen AI Max+ PRO 495
CPU16 cores, 32 threads
GPURadeon 8065S
GPU architectureRDNA 3.5
Compute Units40
AI performanceUp to 131 TOPS
MemoryUp to 192GB LPDDR5X
Memory speed8533 MT/s
Maximum allocated VRAMUp to 160GB
StorageThree M.2 2280 PCIe 4.0 slots
NetworkingDual 10G LAN
WirelessWiFi 7, Bluetooth 5.4
Chassis volume2.9 litres
Power adapter240W

Ryzen AI Max+ PRO 495 Targets Local AI Workloads

The UniBox AI495 Pro uses AMD's Ryzen AI Max+ PRO 495, a 16 core and 32 thread processor from the company's Gorgon Halo family.

CHUWI rates the system for up to 131 TOPS of combined AI performance.

The processor also includes Radeon 8065S integrated graphics with 40 RDNA 3.5 Compute Units.

Its basic GPU configuration is similar to the Radeon 8060S found in earlier Ryzen AI Max systems, but the Radeon 8065S carries a 100MHz higher boost clock.

The biggest upgrade over CHUWI's previous UniBox AI395 is memory capacity rather than the graphics change.

Memory Capacity Rises From 128GB to 192GB

The UniBox AI495 Pro supports up to 192GB of LPDDR5X unified memory.

That is a significant increase over the 128GB maximum available on the older UniBox AI395.

Memory speed has also increased from 8000 MT/s to 8533 MT/s.

Because the memory is unified, the system can assign a large portion of it to graphics and AI workloads instead of relying on a separate pool of dedicated VRAM.

CHUWI says up to 160GB can be allocated as video memory.

That capacity is especially useful for large local AI models, where memory requirements can quickly exceed what conventional consumer graphics cards provide.

CHUWI Says It Can Run 300B Models Locally

CHUWI is positioning the mini PC for local large language model workloads.

The company claims the system can run models with up to 300 billion parameters locally.

Actual usability will depend on factors such as model precision, quantization, context length, software support, and workload type.

Still, the combination of 192GB of unified memory and the Ryzen AI Max+ PRO 495 gives the system considerably more memory headroom than most compact PCs.

Several other manufacturers are adopting similar configurations around the same AMD processor, showing growing interest in small workstations designed for local AI development.

Three M.2 Slots and Dual 10G LAN Remain

Storage support is carried over from the earlier model.

The UniBox AI495 Pro includes three M.2 2280 PCIe 4.0 slots, giving buyers room for multiple high capacity SSDs.

Networking is also unusually strong for a compact PC.

The system includes dual 10G LAN ports, WiFi 7, and Bluetooth 5.4.

Several USB Type A and Type C ports are also included for peripherals and external devices.

All of this hardware fits inside the same 2.9 litre chassis used by the previous generation.

The system ships with a 240W power adapter.

Price and Release Date Are Still Unknown

CHUWI has not confirmed when the UniBox AI495 Pro will go on sale or how much it will cost.

Its final price will likely depend heavily on memory configuration, as 192GB of high speed LPDDR5X adds a substantial amount to the cost of a system.

For now, the UniBox AI495 Pro joins a growing group of compact PCs built around Ryzen AI Max+ PRO 495 and very large unified memory pools.

Its combination of 192GB memory, triple SSD support, dual 10G networking, and a 2.9 litre chassis makes it one of CHUWI's most ambitious compact systems so far.

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