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 liveVerified 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
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
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
Gaming media — stories about gaming media in this arenaGaming mediaevidence →
Stories about gaming media in this arena
Local ai — stories about local ai in this arenaLocal aievidence →
Stories about local ai in this arena
Memory io — stories about memory io in this arenaMemory ioevidence →
Stories about memory io in this arena
Openness — open source, data portability, and self-hosting storiesOpennessevidence →
Open source, data portability, and self-hosting stories
Platform upgrade — stories about platform upgrade in this arenaPlatform upgradeevidence →
Stories about platform upgrade in this arena
Power efficiency — stories about power efficiency in this arenaPower efficiencyevidence →
Stories about power efficiency in this arena
Privacy posture — data-handling and privacy storiesPrivacy postureevidence →
Data-handling and privacy stories
Spec transparency — stories about spec transparency in this arenaSpec transparencyevidence →
Stories about spec transparency in this arena
Story verdicts — every judged story with its evidenceStory verdicts
Follow the green: where the map greys out is where AMD Ryzen AI Max+ 395 stops today. ✓ full · ~ partial · ! disputed · — none · n/a not applicable.
Agenticness — how well agents can access and operate the productAgenticness
How well agents can access and operate the product
API surface
Drive the product through a documented public API
~4/10
unlocks → Machine-readable spec · Versioning policy · Official CLI
Subscribe to events via webhooks
n/an/a
Build against official SDKs
✓7/10
Issue scoped/least-privilege API credentials for an agent
n/an/a
Connect an agent via an official MCP server
n/an/a
Download a machine-readable API spec (OpenAPI or equivalent)
—0/10
Rely on versioned APIs with a documented deprecation policy
—0/10
Test against a sandbox environment without touching production data
n/an/a
Explore an interactive API reference with runnable examples
—0/10
Docs for agents
Point an agent at llms.txt or agent-oriented docs
✓7/10
Agentic features
Delegate tasks to a built-in AI assistant inside the product
n/an/a
Operate the product with natural-language commands
—–
Plug MCP servers into this product so it can use their tools
n/an/a
Get AI-generated insights and suggestions from my data inside the product
n/an/a
Set up automations that run autonomously in the background
n/an/a
Automation depth — how much of the product can run unattendedAutomation depth
How much of the product can run unattended
Compute performance — stories about compute performance in this arenaCompute performance
Stories about compute performance in this arena
Compile big codebases and run heavy parallel jobs fast — documented core counts and boost behavior, corroborated by independent multi-core benchmarks
—–
Everyday interactive work feels instant — leading single-thread performance shown in independent benchmarks, not just a peak-GHz number on a slide
—0/10
Dev experience — day-to-day developer experience — setup friction, docs, debugging, iteration speedDev experience
Day-to-day developer experience — setup friction, docs, debugging, iteration speed
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
~5/10
VMs and containers run well on this silicon — documented virtualization support and mainstream hypervisor and Docker workflows
—0/10
Gaming media — stories about gaming media in this arenaGaming media
Stories about gaming media in this arena
This chip drives high frame rates in real games — vendor gaming claims (cache, boost behavior, integrated GPU class) corroborated by independent game benchmarks
—0/10
Hardware media engines carry my editing and streaming — documented hardware encode and decode (AV1, HEVC, ProRes-class) on the chip itself
—–
Local ai — stories about local ai in this arenaLocal ai
Stories about local ai in this arena
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
~6/10
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
✓8/10
Memory io — stories about memory io in this arenaMemory io
Stories about memory io in this arena
Run a large local LLM (70B-class, quantized) on this platform — enough addressable memory and published memory bandwidth to make local inference practical
~6/10
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)
—0/10
Openness — open source, data portability, and self-hosting storiesOpenness
Open source, data portability, and self-hosting stories
Platform upgrade — stories about platform upgrade in this arenaPlatform upgrade
Stories about platform upgrade in this arena
Power efficiency — stories about power efficiency in this arenaPower efficiency
Stories about power efficiency in this arena
Privacy posture — data-handling and privacy storiesPrivacy posture
Data-handling and privacy stories
Spec transparency — stories about spec transparency in this arenaSpec transparency
Stories about spec transparency in this arena
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 user | Agenticness — how well agents can access and operate the productAgenticness | 3 | partial | 4/10 | Tprobed | |
Connect an agent via an official MCP server G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | n/a | untested | none yet | |
Delegate tasks to a built-in AI assistant inside the product G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | n/a | untested | none yet | |
Plug MCP servers into this product so it can use their tools G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | n/a | untested | none yet | |
Build against official SDKs G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 7/10 | Tprobed | |
Point an agent at llms.txt or agent-oriented docs G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 7/10 | Tprobed | |
Run the product headlessly / in CI for automation G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partial | 4/10 | Cclaimed | |
Download a machine-readable API spec (OpenAPI or equivalent) G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Explore an interactive API reference with runnable examples G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Rely on versioned APIs with a documented deprecation policy G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Get AI-generated insights and suggestions from my data inside the product G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | n/a | untested | none yet | |
Issue scoped/least-privilege API credentials for an agent G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | n/a | untested | none yet | |
Operate the product with natural-language commands G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | untested | none yet | |
Set up automations that run autonomously in the background G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | n/a | untested | none yet | |
Subscribe to events via webhooks G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | n/a | untested | none yet | |
Use an official CLI G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | untested | none yet | |
Test against a sandbox environment without touching production data G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 1 | n/a | untested | none 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 user | Memory io — stories about memory io in this arenaMemory io | 3 | partial | 6/10 | Xcommunity | |
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 user | Local ai — stories about local ai in this arenaLocal ai | 3 | partial | 6/10 | Tprobed | |
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 | developer | Dev experience — day-to-day developer experience — setup friction, docs, debugging, iteration speedDev experience | 3 | partial | 5/10 | Xcommunity | |
Long renders and exports don't throttle away — documented power envelopes and independent testing showing strong sustained performance per watt C Perf per watt | creator | Power efficiency — stories about power efficiency in this arenaPower efficiency | 3 | partial | 3/10 | Xcommunity | |
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 | gamer | Gaming media — stories about gaming media in this arenaGaming media | 3 | none | 0/10 | ||
Compile big codebases and run heavy parallel jobs fast — documented core counts and boost behavior, corroborated by independent multi-core benchmarks C Heavy compute | developer | Compute performance — stories about compute performance in this arenaCompute performance | 3 | none | untested | none yet | |
Define rules that trigger actions automatically on events G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 3 | n/a | untested | none yet | |
Export all of my data in open formats and leave G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 3 | n/a | untested | none yet | |
Prevent my data from being used to train AI models G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 3 | none | untested | none yet | |
Self-host the core product G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 3 | n/a | untested | none 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 | developer | Local ai — stories about local ai in this arenaLocal ai | 2 | full | 8/10 | Xcommunity | |
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-user | Spec transparency — stories about spec transparency in this arenaSpec transparency | 2 | partial | 5/10 | Xcommunity | |
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 | developer | Platform upgrade — stories about platform upgrade in this arenaPlatform upgrade | 2 | partial | 2/10 | Cclaimed | |
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-user | Compute performance — stories about compute performance in this arenaCompute performance | 2 | none | 0/10 | ||
Read the product's source under an open license G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 2 | none | 0/10 | ||
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 | developer | Memory io — stories about memory io in this arenaMemory io | 2 | none | 0/10 | ||
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-user | Power efficiency — stories about power efficiency in this arenaPower efficiency | 2 | none | 0/10 | ||
Upgrade the CPU without replacing the platform — a documented socket with a stated multi-generation support commitment C Socket longevity | power-user | Platform upgrade — stories about platform upgrade in this arenaPlatform upgrade | 2 | none | 0/10 | ||
VMs and containers run well on this silicon — documented virtualization support and mainstream hypervisor and Docker workflows C Virtualization | developer | Dev experience — day-to-day developer experience — setup friction, docs, debugging, iteration speedDev experience | 2 | none | 0/10 | ||
Choose where my data is stored (region/residency) G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | n/a | untested | none yet | |
Control data retention and deletion G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | n/a | untested | none yet | |
Do everything through the API that I can do in the UI G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 2 | n/a | untested | none 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 | creator | Gaming media — stories about gaming media in this arenaGaming media | 2 | none | untested | none yet | |
Opt out of telemetry and usage tracking G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | n/a | untested | none yet | |
Perform bulk operations across many items at once G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 2 | n/a | untested | none yet | |
Schedule recurring jobs or workflows G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 2 | n/a | untested | none yet | |
Version, review, and roll back my automations G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 1 | n/a | untested | none 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.
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.
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.
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.
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".
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.
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).
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.
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.
En docs7 stories
- Point an agent at llms.txt or agent-oriented docs
- Run the product headlessly / in CI for automation
- Drive the product through a documented public API
- Build against official SDKs
- 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
- 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
- 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
Hacker News5 stories
- 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
- 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
- Run a large local LLM (70B-class, quantized) on this platform — enough addressable memory and published memory bandwidth to make local inference practical
- Long renders and exports don't throttle away — documented power envelopes and independent testing showing strong sustained performance per watt
- Comparison-shop from a real spec sheet — the vendor publishes clocks, power, memory support, and AI TOPS with test conditions, instead of marketing adjectives
En docs5 stories
- Run the product headlessly / in CI for automation
- 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
- 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
- Long renders and exports don't throttle away — documented power envelopes and independent testing showing strong sustained performance per watt
- Comparison-shop from a real spec sheet — the vendor publishes clocks, power, memory support, and AI TOPS with test conditions, instead of marketing adjectives
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 contradicted → integrity 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)
“Supports deploying PyTorch/TensorFlow models on Ryzen AI laptops via ONNX Runtime with the Vitis AI Execution Provider”
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 NPUfullproof ↗
“Supports deploying PyTorch/TensorFlow models on Ryzen AI laptops via ONNX Runtime with the Vitis AI Execution Provider”
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 todaypartialproof ↗
“AMD Quark toolkit simplifies quantization of deep learning models across platforms”
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 todaypartialproof ↗
“AI models can be deployed via ONNX Runtime using C++ or Python APIs”
“AI models can be deployed via ONNX Runtime using C++ or Python APIs”
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 NPUfullproof ↗
“Lemonade SDK is open-source, multi-vendor, and lets you get started running LLMs via OGA or llama.cpp”
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 NPUfullproof ↗
“Configurable TDP (cTDP) ranges from 45W to 120W”
Long renders and exports don't throttle away — documented power envelopes and independent testing showing strong sustained performance per wattpartialproof ↗
“Configurable TDP (cTDP) ranges from 45W to 120W”
Comparison-shop from a real spec sheet — the vendor publishes clocks, power, memory support, and AI TOPS with test conditions, instead of marketing adjectivespartialproof ↗
“Supports Curve Optimizer voltage offset tuning”
Comparison-shop from a real spec sheet — the vendor publishes clocks, power, memory support, and AI TOPS with test conditions, instead of marketing adjectivespartialproof ↗
“Officially supports Windows 11 64-bit, RHEL x86 64-bit, and Ubuntu x86 64-bit”
This architecture is a first-class development target — mature compilers, official optimization guidance, and an OS and tooling ecosystem that treats it as tier onepartialproof ↗
Unverified (2)
“Supports NVMe boot along with RAID0 and RAID1 configurations”
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 aroundpartialproof ↗
“Supports driving up to 4 displays simultaneously”
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 aroundpartialproof ↗
Undersold (4)
Point an agent at llms.txt or agent-oriented docsfullproof ↗
Run the product headlessly / in CI for automationpartialproof ↗
Drive the product through a documented public APIpartialproof ↗
Run a large local LLM (70B-class, quantized) on this platform — enough addressable memory and published memory bandwidth to make local inference practicalpartialproof ↗
Business model
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.
Try Experimental
Run it in the microterminal →Recorded agent sessions — and a live MCP handshake where the vendor ships one.
Flag
⚑ Flag a verdictThink a verdict is wrong? Opens a prefilled GitHub issue — or use the ⚑ next to any verdict above.
For agents
