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Rank #3 of 8 in Processors

AMD Ryzen AI Max+ 395 logo

AMD Ryzen AI Max+ 395

Advanced Micro Devices, Inc. · commercial

no public signals

Try itExperimental

See what an agent can do with AMD Ryzen AI Max+ 395 before you ever sign up. Pick a story: recorded sessions replay real probe-harness transcripts; sandboxed self-drive sessions are designed and gated (docs/TRY-IT.md).

$curl -sL 'https://ryzenai.docs.amd.com/en/latest/' | grep -o 'Ryzen AI' | head -1 # the NPU SDK docs the local-AI stories lean on, liverecorded session — replayed, not live
recorded 2026-09-15 · exit 0 · captured verbatim by our probe harness, secrets redacted

Verified integrations

No integration evidence found in our corpus for this product yet — that means none was found, never that it doesn’t integrate.

By theme — the product's score on each story themeBy theme

Agenticness — how well agents can access and operate the productAgenticnessevidence →

How well agents can access and operate the product

21.1/100

Automation depth — how much of the product can run unattendedAutomation depthevidence →

How much of the product can run unattended

n/a

Compute performance — stories about compute performance in this arenaCompute performanceevidence →

Stories about compute performance in this arena

0.0/100

Dev experience — day-to-day developer experience — setup friction, docs, debugging, iteration speedDev experienceevidence →

Day-to-day developer experience — setup friction, docs, debugging, iteration speed

18.0/100

Gaming media — stories about gaming media in this arenaGaming mediaevidence →

Stories about gaming media in this arena

0.0/100

Local ai — stories about local ai in this arenaLocal aievidence →

Stories about local ai in this arena

53.6/100

Memory io — stories about memory io in this arenaMemory ioevidence →

Stories about memory io in this arena

21.6/100

Openness — open source, data portability, and self-hosting storiesOpennessevidence →

Open source, data portability, and self-hosting stories

0.0/100

Platform upgrade — stories about platform upgrade in this arenaPlatform upgradeevidence →

Stories about platform upgrade in this arena

6.0/100

Power efficiency — stories about power efficiency in this arenaPower efficiencyevidence →

Stories about power efficiency in this arena

10.8/100

Privacy posture — data-handling and privacy storiesPrivacy postureevidence →

Data-handling and privacy stories

0.0/100

Spec transparency — stories about spec transparency in this arenaSpec transparencyevidence →

Stories about spec transparency in this arena

30.0/100

Story verdicts — every judged story with its evidenceStory verdicts

?

Sorted by importance (agentic first) (high → low) · 44/44 stories · click a row’s chevron for the rationale and evidence

Drive the product through a documented public API G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3partial4/10T

Connect an agent via an official MCP server G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3n/auntestednone yet

Delegate tasks to a built-in AI assistant inside the product G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness3n/auntestednone yet

Plug MCP servers into this product so it can use their tools G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3n/auntestednone yet

Build against official SDKs G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full7/10T

Point an agent at llms.txt or agent-oriented docs G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full7/10T

Run the product headlessly / in CI for automation G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial4/10C

Download a machine-readable API spec (OpenAPI or equivalent) G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Explore an interactive API reference with runnable examples G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Rely on versioned APIs with a documented deprecation policy G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Get AI-generated insights and suggestions from my data inside the product G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2n/auntestednone yet

Issue scoped/least-privilege API credentials for an agent G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2n/auntestednone yet

Operate the product with natural-language commands G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2noneuntestednone yet

Set up automations that run autonomously in the background G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2n/auntestednone yet

Subscribe to events via webhooks G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2n/auntestednone yet

Use an official CLI G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2noneuntestednone yet

Test against a sandbox environment without touching production data G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness1n/auntestednone yet

Run a large local LLM (70B-class, quantized) on this platform — enough addressable memory and published memory bandwidth to make local inference practical C

Llm memory

ai-native userMemory io — stories about memory io in this arenaMemory io3partial6/10X

The chip's AI acceleration is exposed to developers — an NPU or neural engine with a published TOPS figure (precision stated) and an official SDK or runtime that ships today C

Npu sdk

ai-native userLocal ai — stories about local ai in this arenaLocal ai3partial6/10T

This architecture is a first-class development target — mature compilers, official optimization guidance, and an OS and tooling ecosystem that treats it as tier one C

Toolchain

developerDev experience — day-to-day developer experience — setup friction, docs, debugging, iteration speedDev experience3partial5/10X

Long renders and exports don't throttle away — documented power envelopes and independent testing showing strong sustained performance per watt C

Perf per watt

creatorPower efficiency — stories about power efficiency in this arenaPower efficiency3partial3/10X

This chip drives high frame rates in real games — vendor gaming claims (cache, boost behavior, integrated GPU class) corroborated by independent game benchmarks C

Gaming fps

gamerGaming media — stories about gaming media in this arenaGaming media3none0/10

Compile big codebases and run heavy parallel jobs fast — documented core counts and boost behavior, corroborated by independent multi-core benchmarks C

Heavy compute

developerCompute performance — stories about compute performance in this arenaCompute performance3noneuntestednone yet

Define rules that trigger actions automatically on events G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth3n/auntestednone yet

Export all of my data in open formats and leave G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness3n/auntestednone yet

Prevent my data from being used to train AI models G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture3noneuntestednone yet

Self-host the core product G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness3n/auntestednone yet

Mainstream local-AI runtimes target this silicon — llama.cpp, MLX, ONNX Runtime, or the vendor's own AI software stack document support for its CPU, GPU, or NPU C

Runtime support

developerLocal ai — stories about local ai in this arenaLocal ai2full8/10X

Comparison-shop from a real spec sheet — the vendor publishes clocks, power, memory support, and AI TOPS with test conditions, instead of marketing adjectives C

Spec disclosure

power-userSpec transparency — stories about spec transparency in this arenaSpec transparency2partial5/10X

The platform has documented I/O headroom — PCIe generation and lanes, fast storage, and external connectivity specs I can plan a build or dock setup around C

Platform io

developerPlatform upgrade — stories about platform upgrade in this arenaPlatform upgrade2partial2/10C

Everyday interactive work feels instant — leading single-thread performance shown in independent benchmarks, not just a peak-GHz number on a slide C

Single thread

power-userCompute performance — stories about compute performance in this arenaCompute performance2none0/10

Read the product's source under an open license G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness2none0/10

Size memory-bound workloads from the vendor's own numbers — published memory type, capacity ceiling, and bandwidth (or spec detail complete enough to derive it) C

Memory spec

developerMemory io — stories about memory io in this arenaMemory io2none0/10

This chip powers thin, quiet, all-day-battery machines — shipping in fanless or low-power designs with credible battery-life evidence C

Mobile endurance

power-userPower efficiency — stories about power efficiency in this arenaPower efficiency2none0/10

Upgrade the CPU without replacing the platform — a documented socket with a stated multi-generation support commitment C

Socket longevity

power-userPlatform upgrade — stories about platform upgrade in this arenaPlatform upgrade2none0/10

VMs and containers run well on this silicon — documented virtualization support and mainstream hypervisor and Docker workflows C

Virtualization

developerDev experience — day-to-day developer experience — setup friction, docs, debugging, iteration speedDev experience2none0/10

Choose where my data is stored (region/residency) G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2n/auntestednone yet

Control data retention and deletion G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2n/auntestednone yet

Do everything through the API that I can do in the UI G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness2n/auntestednone yet

Hardware media engines carry my editing and streaming — documented hardware encode and decode (AV1, HEVC, ProRes-class) on the chip itself C

Media engines

creatorGaming media — stories about gaming media in this arenaGaming media2noneuntestednone yet

Opt out of telemetry and usage tracking G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2n/auntestednone yet

Perform bulk operations across many items at once G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth2n/auntestednone yet

Schedule recurring jobs or workflows G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth2n/auntestednone yet

Version, review, and roll back my automations G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth1n/auntestednone yet

Opportunities — the stories that would move this product's scores, from its own judged verdictsOpportunitiestop 8 of 23 stories with headroom

What would move AMD Ryzen AI Max+ 395’s scores — derived from its own judged verdicts, biggest headroom first. Each line quotes what the judge found missing; shipping it (or evidencing it publicly) is the fix.

  1. Gaming media — stories about gaming media in this arenaThis chip drives high frame rates in real games — vendor gaming claims (cache, boost behavior, integrated GPU class) corroborated by independent game benchmarks

    nonemoves PA Scoreimpact 30

    The evidence pack contains no vendor gaming claims (cache/boost/iGPU class positioning) and no independent game benchmark data or FPS figures; community comments are about AI/LLM token throughput and general benchmark methodology complaints, not real-game performance.

  2. Compute performance — stories about compute performance in this arenaCompile big codebases and run heavy parallel jobs fast — documented core counts and boost behavior, corroborated by independent multi-core benchmarks

    nonemoves PA Scoreimpact 30

    No evidence pack item documents core counts, boost clock behavior, or independent multi-core/compile benchmarks; the AMD docs and product page instead focus on AI/NPU software stack, TDP, and I/O specs.

  3. Privacy posture — data-handling and privacy storiesPrevent my data from being used to train AI models

    nonemoves PA Scoreimpact 30

    The evidence describes local on-device AI inference (NPU, ONNX Runtime, local LLM execution via llama.cpp/Ollama) but contains no explicit statement about data-training opt-outs or privacy guarantees regarding model training; while local processing implies data doesn't leave the device, no documentation or claim addresses this story directly.

  4. Agenticness — how well agents can access and operate the productOperate the product with natural-language commands

    nonemoves Built-in AIimpact 30

    The axis applies to this product kind (peer products hold positive or none verdicts on this story), so lack of evidence for an applicable capability is "none", never "na".

  5. Agenticness — how well agents can access and operate the productUse an official CLI

    nonemoves agent-readyimpact 30

    Evidence describes SDKs (ONNX Runtime, Quark, Lemonade SDK) and APIs but never mentions an official command-line interface for Ryzen AI Max+ 395 developers; no CLI tool, install command, or CLI documentation is cited.

  6. Agenticness — how well agents can access and operate the productExplore an interactive API reference with runnable examples

    nonemoves API qualityimpact 30

    The evidence shows static documentation pages (docs-1 through docs-4) and probes explicitly confirming no OpenAPI/swagger spec and no interactive API reference (probe-3 shows 404s for all candidate OpenAPI paths).

  7. Agenticness — how well agents can access and operate the productDownload a machine-readable API spec (OpenAPI or equivalent)

    nonemoves API qualityimpact 30

    AMD's Ryzen AI docs describe C++/Python SDK APIs (ONNX Runtime, Vitis AI EP) but no machine-readable OpenAPI/Swagger spec was found; explicit probes to /openapi.json, /swagger.json, and similar paths all returned 404.

  8. Agenticness — how well agents can access and operate the productRely on versioned APIs with a documented deprecation policy

    nonemoves API qualityimpact 30

    Missing: any versioning scheme, changelog, or explicit deprecation/EOL policy for the Ryzen AI APIs.

Showing the top 8 of 23 — every none/partial verdict in the story verdicts table is headroom.

Think a verdict is wrong? Every verdicts-table row has a Flag link — see the methodology.

Coverage map — which docs area, API section, or community source covers which judged storiesCoverage map5 surfaces · 11 covered stories

Where the cited evidence behind each covered verdict came from — the same citations the verdicts table shows, no extra judging.

Probe proofs — replayable recordings from the probe harnessProbe proofs

Replayable recordings from our probe harness — see the Prove-It protocol to submit one.

$curl -sL 'https://ryzenai.docs.amd.com/en/latest/' | grep -o 'Ryzen AI' | head -1 # the NPU SDK docs the local-AI stories lean on, livereproduced
$ curl -sL 'https://ryzenai.docs.amd.com/en/latest/' | grep -o 'Ryzen AI' | head -1  # the NPU SDK docs the local-AI stories lean on, live
Ryzen AI

Claims vs evidence — vendor claims reconciled against independent verdictsClaims vs evidence

6 of 7 testable claims verified · 0 contradictedintegrity 86/100

9 distinct capability claims found in AMD Ryzen AI Max+ 395’s own claimed-docs/GitHub materials, reconciled against our judge’s independent verdicts.

6

Verified

1

Unverified

0

Contradicted

4

Undersold

Verified (10)
Unverified (2)
Undersold (4)

Business model

device-bundled

Strix Halo SoC ships inside laptops and mini-PCs (Framework Desktop, ROG Flow, mini-PC boards) — no standalone list price.

pricing ↗

Score trend

How this product’s scores have moved as evidence and verdicts are re-derived — a point per change, not per day.

PA Scoretracked since Sep 15 '26 — no movement recorded yet
Agent-readytracked since Sep 15 '26 — no movement recorded yet

Try Experimental

Run it in the microterminal →

Recorded agent sessions — and a live MCP handshake where the vendor ships one.

Flag

⚑ Flag a verdict

Think a verdict is wrong? Opens a prefilled GitHub issue — or use the ⚑ next to any verdict above.

Badge

Embed this product's score badge →

Hotlinked SVG — always shows the live current score.

For agents

Data