AMD’s Ryzen AI Max+ PRO 495 platform supports up to 192GB of unified memory—more than NVIDIA’s announced 128GB maximum for RTX Spark and the 64GB M5 Pro system in AMD’s published comparison. That is a meaningful capacity advantage for fitting large models into memory, not proof that the AMD system is faster overall. The comparison depends on the specific computer, workload, software and configuration.
What the 192GB figure actually means
AMD lists the Ryzen AI Max+ PRO 495 in its Ryzen AI Halo Developer Platform with 192GB of LPDDR5x memory. It is unified system memory shared between the processor and integrated graphics—not 192GB of discrete graphics-card VRAM or a conventional RAM kit that a user can necessarily upgrade. AMD specifies memory bandwidth of 273GB/s for that platform. These are Halo platform specifications; they should not be assumed to describe every computer that uses the 495.
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The Halo specification also lists a 16-core, 32-thread Zen 5 CPU, Radeon 8065S integrated graphics with 40 RDNA 3.5 compute units, an XDNA 2 NPU, a 2TB M.2 SSD, 10GbE, Wi-Fi 7, USB-C and a 120W TDP. Those details describe AMD’s named developer platform, not a universal configuration or a guarantee of a particular system’s performance.
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AMD says Ryzen AI Max 400 Series systems can offer up to 192GB of system memory, with up to 160GB available to GPU workloads. AMD also says this capacity can accommodate models above 300 billion parameters at 4-bit quantization. That is a vendor capacity claim: whether a particular model runs usefully depends on the runtime, software, context length and workload, and fitting a model in memory does not establish its generation speed.
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How it compares with NVIDIA RTX Spark
| Platform | Announced or specified memory | Other relevant details |
|---|---|---|
| AMD Ryzen AI Max+ PRO 495 in the Ryzen AI Halo Developer Platform | 192GB LPDDR5x unified system memory; AMD says up to 160GB can be available to GPU workloads. AMD platform specification and Ryzen AI Max 400 Series description. | 273GB/s bandwidth on the Halo platform; Radeon 8065S integrated graphics. AMD platform specification. |
| NVIDIA RTX Spark | Up to 128GB unified memory. NVIDIA announcement, June 1, 2026. | Blackwell GPU, 6,144 CUDA cores, fifth-generation Tensor Cores with FP4, NVLink-C2C, 20-core Grace CPU and up to 1 petaflop of AI compute, all as announced by NVIDIA. |
On maximum stated unified-memory capacity alone, AMD’s 192GB platform specification is higher than NVIDIA’s announced 128GB for RTX Spark. That may matter when a model or working set exceeds the memory available on another system. It does not establish a speed ranking: the platforms have different architectures, and RTX Spark brings NVIDIA’s CUDA and RTX software ecosystem.
NVIDIA said RTX Spark systems from ASUS, Dell, HP, Lenovo, Microsoft Surface and MSI were expected in fall 2026, with Acer and GIGABYTE to follow. That is an announced availability plan, not confirmation that a system is on sale in a particular country or available in a particular configuration.
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What AMD’s Apple comparison does—and does not—show
AMD’s September 2026 disclosure describes its own ComfyUI testing of a Ryzen AI Max+ PRO 495 system with 192GB of memory, VGM set to 128GB and Adrenalin 26.8.1, compared with an Apple M5 Pro MacBook Pro using a 20-core GPU, 64GB of unified memory and Metal 4. AMD says it averaged multiple runs across named image, video, music and 3D workloads and cautions that results may vary.
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The tested systems had unequal memory capacities, and this was AMD’s test—not an independent, matched comparison across every professional or AI workload. The disclosed setup does not establish that the 495 is universally faster than M5 Pro, or that Apple should worry across its full product range. Apple’s March 2026 announcement also covers M5 Max MacBook Pro systems; Apple’s testing disclosure names an M5 Max configuration with a 40-core GPU and 128GB of unified memory. That is a separate configuration, not the M5 Pro system in AMD’s ComfyUI comparison.
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Why memory capacity is not a complete performance comparison
A larger memory pool can make a system capable of loading a model or project that would not fit on a smaller-memory machine. It does not, by itself, tell you how quickly that system will process the workload. For a useful purchasing comparison, check:
- Usable memory: the total capacity and how much the software can actually allocate to graphics or AI workloads.
- Workload-specific results: tests of the models and applications you plan to use, on the exact system configurations being compared.
- Software support: whether your frameworks, runtimes, drivers and applications support the platform and its acceleration features.
- Bandwidth and architecture: memory capacity is only one part of feeding compute hardware efficiently.
- Whole-system fit: power, cooling, form factor, storage, price and availability for the exact configuration in your region.
Tom’s Hardware reported that AMD’s public generative-AI comparison was against an Intel Core Ultra X9 388H system with 64GB, not RTX Spark, and that it had no RTX Spark performance results in the benchmark material it reviewed. The available evidence therefore supports a memory-capacity comparison, but not an independent 495-versus-Spark performance verdict.
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Which 495-based computers are identified?
AMD specifies its Ryzen AI Halo Developer Platform with the 495 and 192GB. Independent reporting has also identified the Minisforum MS-S1 MAX-P495 with 192GB and 2TB storage, and the GMKtec EVO-X5 Pro with 192GB of unified memory. Confirm the precise configuration and local availability before buying; a processor name alone does not guarantee the memory, storage or other features in a listing.
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TechRadar reported a limited Minisforum offer at $7,399 against a reported regular price of $9,249, and a $6,399 introductory offer for GMKtec, in October 2026. These are reported promotional prices, not stable current prices; offers can expire and regional pricing can differ. A current sale price or Amazon listing is not established here.
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