Skip to content

How AMD Instinct MI355X’s scores are calculated

The full audit trail, recomputed from the verdict data at build time through the same code that produced the leaderboard: verdict × quality × story weight per cell, cells sum to dimension scores, dimensions blend into the PA Score. Every number on the product page is reproducible from this page alone; for why the formula looks like this, see the methodology.

verdict factors: full ×1.0 · partial ×0.6 · disputed ×0.3 · none ×0.0 · n/a excluded from both sides · cell points = weight × quality × factor · cell max = weight × 10

PA Score28/100

Agent-ready 45.8 × 0.30 = 13.74

API quality 0.0 × 0.20 = 0.00

Openness 54.0 × 0.20 = 10.80

Built-in AI 0.0 × 0.15 = 0.00

Automation 24.0 × 0.15 = 3.60

(13.74 + 0.00 + 10.80 + 0.00 + 3.60) ÷ (0.30 + 0.20 + 0.20 + 0.15 + 0.15) = 28.14 ÷ 1.00 = 28.1

Scores are stored to 1 decimal; the product page’s pills round to whole numbers for display. Each dimension below shows the stories, verdicts, and cited evidence behind its number.

Agent-ready45.8/100×0.30 of the PA blend

Outside-in: can YOUR agent reach and drive this product — API, MCP, CLI, headless runs, agent docs.

Point an agent at llms.txt or agent-oriented docsweight 2

2 (weight) × 7 (quality) × 1.0 (full) = 14.0 of 20 max

  • [probe] https://rocm.docs.amd.com/llms.txtPROBE llms.txt: HTTP 200 at https://rocm.docs.amd.com/llms.txt # ROCm documentation > Note: ROCm documentation is split across multiple projects. In addition to this file, each proje
  • [probe] https://rocm.docs.amd.com/en/latest/PROBE runtime (recorded 2026-09-15): the ROCm documentation at rocm.docs.amd.com answered a keyless curl naming ROCm — the MI355X's entire developer toolchain surface is live and crawlable, unlike www.amd.com product pages, which reset connections for non-browser user agents (recorded at crawl).
  • [probe] https://rocm.docs.amd.com/en/latest/.mdPROBE docs-md: HTTP 404 at https://rocm.docs.amd.com/en/latest/.md
  • [probe] https://rocm.docs.amd.com/openapi.jsonPROBE openapi: all candidate paths 404 (https://rocm.docs.amd.com/openapi.json, https://rocm.docs.amd.com/swagger.json, https://rocm.docs.amd.com/api/openapi.json, https://rocm.docs.amd.com/.well-known/openapi.json)

Run the product headlessly / in CI for automationweight 2

2 (weight) × 6 (quality) × 0.6 (partial) = 7.2 of 20 max

  • [claimed-docs] https://instinct.docs.amd.com/GPU Operator Deploy and manage Instinct GPUs in Kubernetes clusters.
  • [claimed-docs] https://instinct.docs.amd.com/Spur AI-native job scheduler, drop-in compatible with Slurm, with GPU-first scheduling and Raft-based state.
  • [claimed-docs] https://instinct.docs.amd.com/Cluster Validation Suite Test scripts that validate AMD AI clusters end to end.
  • [claimed-docs] https://instinct.docs.amd.com/AMD Container Toolkit Integrate Instinct GPUs with Docker and container runtimes.
  • [claimed-docs] https://instinct.docs.amd.com/ROCm Validation Suite System validation and hardware diagnostics.

Plug MCP servers into this product so it can use their toolsweight 3

n/a — not applicable to this product: excluded from numerator and denominator

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Connect an agent via an official MCP serverweight 3

n/a — not applicable to this product: excluded from numerator and denominator

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Use an official CLIweight 2

2 (weight) × 5 (quality) × 0.6 (partial) = 6.0 of 20 max

  • [claimed-docs] https://instinct.docs.amd.com/AMD SMI Unified user-space tool to manage and monitor GPUs and drivers.
  • [claimed-docs] https://instinct.docs.amd.com/Spur AI-native job scheduler, drop-in compatible with Slurm, with GPU-first scheduling and Raft-based state.
  • [claimed-docs] https://instinct.docs.amd.com/AMD Container Toolkit Integrate Instinct GPUs with Docker and container runtimes.

Drive the product through a documented public APIweight 3

3 (weight) × 4 (quality) × 0.6 (partial) = 7.2 of 30 max

  • [claimed-docs] https://instinct.docs.amd.com/HIP C++ Learn the HIP programming model.
  • [claimed-docs] https://instinct.docs.amd.com/AMD SMI Unified user-space tool to manage and monitor GPUs and drivers.
  • [claimed-docs] https://instinct.docs.amd.com/Device Metrics Exporter Prometheus-format GPU metrics for HPC and AI environments.
  • [probe] https://rocm.docs.amd.com/llms.txtPROBE llms.txt: HTTP 200 at https://rocm.docs.amd.com/llms.txt # ROCm documentation > Note: ROCm documentation is split across multiple projects. In addition to this file, each proje
  • [probe] https://rocm.docs.amd.com/openapi.jsonPROBE openapi: all candidate paths 404 (https://rocm.docs.amd.com/openapi.json, https://rocm.docs.amd.com/swagger.json, https://rocm.docs.amd.com/api/openapi.json, https://rocm.docs.amd.com/.well-known/openapi.json)

Issue scoped/least-privilege API credentials for an agentweight 2

n/a — not applicable to this product: excluded from numerator and denominator

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Build against official SDKsweight 2

2 (weight) × 8 (quality) × 1.0 (full) = 16.0 of 20 max

  • [claimed-docs] https://rocm.docs.amd.com/en/latest/The foundational libraries, runtimes, and tools for GPU computing on AMD hardware — math and compute libraries, communication primitives, HIP runtime, profiling and debugging tools, and more.
  • [claimed-docs] https://rocm.docs.amd.com/en/latest/Full-stack documentation and recipes to deploy AI workloads on AMD GPUs using popular ROCm-enabled frameworks.
  • [claimed-docs] https://rocm.docs.amd.com/en/latest/Inference * [vLLM](https://rocm.docs.amd.com/projects/ai-ecosystem/en/latest/inference/vllm.html) * [SGLang](https://rocm.docs.amd.com/projects/ai-ecosystem/en/latest/inference/sglang.html)
  • [claimed-docs] https://instinct.docs.amd.com/HIP C++ Learn the HIP programming model.
  • [claimed-docs] https://instinct.docs.amd.com/OpenMP Explore the OpenMP programming model.
  • [claimed-docs] https://instinct.docs.amd.com/AMD Container Toolkit Integrate Instinct GPUs with Docker and container runtimes.
  • [probe] https://rocm.docs.amd.com/llms.txtPROBE llms.txt: HTTP 200 at https://rocm.docs.amd.com/llms.txt # ROCm documentation > Note: ROCm documentation is split across multiple projects. In addition to this file, each proje
  • [probe] https://rocm.docs.amd.com/en/latest/PROBE runtime (recorded 2026-09-15): the ROCm documentation at rocm.docs.amd.com answered a keyless curl naming ROCm — the MI355X's entire developer toolchain surface is live and crawlable, unlike www.amd.com product pages, which reset connections for non-browser user agents (recorded at crawl).

Subscribe to events via webhooksweight 2

n/a — not applicable to this product: excluded from numerator and denominator

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Agent-ready = 50.4 ÷ 110 × 100 = 45.8

API quality0.0/100×0.20 of the PA blend

The programmable surface once an agent is there — machine-readable spec, interactive docs, sandbox, versioning discipline.

Explore an interactive API reference with runnable examplesweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

  • [probe] https://rocm.docs.amd.com/openapi.jsonPROBE openapi: all candidate paths 404 (https://rocm.docs.amd.com/openapi.json, https://rocm.docs.amd.com/swagger.json, https://rocm.docs.amd.com/api/openapi.json, https://rocm.docs.amd.com/.well-known/openapi.json)
  • [probe] https://rocm.docs.amd.com/en/latest/.mdPROBE docs-md: HTTP 404 at https://rocm.docs.amd.com/en/latest/.md

Download a machine-readable API spec (OpenAPI or equivalent)weight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

  • [probe] https://rocm.docs.amd.com/openapi.jsonPROBE openapi: all candidate paths 404 (https://rocm.docs.amd.com/openapi.json, https://rocm.docs.amd.com/swagger.json, https://rocm.docs.amd.com/api/openapi.json, https://rocm.docs.amd.com/.well-known/openapi.json)
  • [probe] https://rocm.docs.amd.com/en/latest/.mdPROBE docs-md: HTTP 404 at https://rocm.docs.amd.com/en/latest/.md

Test against a sandbox environment without touching production dataweight 1

n/a — not applicable to this product: excluded from numerator and denominator

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Rely on versioned APIs with a documented deprecation policyweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

  • [claimed-docs] https://rocm.docs.amd.com/en/latest/The foundational libraries, runtimes, and tools for GPU computing on AMD hardware — math and compute libraries, communication primitives, HIP runtime, profiling and debugging tools, and more.
  • [probe] https://rocm.docs.amd.com/openapi.jsonPROBE openapi: all candidate paths 404 (https://rocm.docs.amd.com/openapi.json, https://rocm.docs.amd.com/swagger.json, https://rocm.docs.amd.com/api/openapi.json, https://rocm.docs.amd.com/.well-known/openapi.json)
  • [probe] https://rocm.docs.amd.com/llms.txtPROBE llms.txt: HTTP 200 at https://rocm.docs.amd.com/llms.txt # ROCm documentation > Note: ROCm documentation is split across multiple projects. In addition to this file, each proje

API quality = 0.0 ÷ 60 × 100 = 0.0

Openness54.0/100×0.20 of the PA blend

Can you leave, inspect, or self-host — data export, open source, portability.

Do everything through the API that I can do in the UIweight 2

n/a — not applicable to this product: excluded from numerator and denominator

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Export all of my data in open formats and leaveweight 3

n/a — not applicable to this product: excluded from numerator and denominator

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Read the product's source under an open licenseweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Self-host the core productweight 3

3 (weight) × 9 (quality) × 1.0 (full) = 27.0 of 30 max

  • [claimed-docs] https://instinct.docs.amd.com/GPU Operator Deploy and manage Instinct GPUs in Kubernetes clusters.
  • [claimed-docs] https://instinct.docs.amd.com/AMD Container Toolkit Integrate Instinct GPUs with Docker and container runtimes.
  • [claimed-docs] https://instinct.docs.amd.com/Cluster Validation Suite Test scripts that validate AMD AI clusters end to end.
  • [claimed-docs] https://instinct.docs.amd.com/Device Metrics Exporter Prometheus-format GPU metrics for HPC and AI environments.
  • [claimed-docs] https://instinct.docs.amd.com/Spur AI-native job scheduler, drop-in compatible with Slurm, with GPU-first scheduling and Raft-based state.
  • [community] https://news.ycombinator.com/item?id=49141073On every row the B300 beat the MI355X in a wafer.ai comparison; critics say the price comparison (MI355X at $2.5/hr) is unrealistic since no one is easily getting MI355X at that rate, and the B200 test unfairly spans two nodes with a cross-node all-reduce penalty.

Openness = 27.0 ÷ 50 × 100 = 54.0

Built-in AI0.0/100×0.15 of the PA blend

Inside-out: how agentic the product itself is for its users — built-in assistants, autonomous features.

Get AI-generated insights and suggestions from my data inside the productweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Set up automations that run autonomously in the backgroundweight 2

n/a — not applicable to this product: excluded from numerator and denominator

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Delegate tasks to a built-in AI assistant inside the productweight 3

3 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 30 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Operate the product with natural-language commandsweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Built-in AI = 0.0 ÷ 70 × 100 = 0.0

Automation24.0/100×0.15 of the PA blend

Depth of automation primitives — rules, scheduling, bulk operations, webhooks.

Perform bulk operations across many items at onceweight 2

2 (weight) × 4 (quality) × 0.6 (partial) = 4.8 of 20 max

  • [claimed-docs] https://rocm.docs.amd.com/en/latest/Inference * [vLLM](https://rocm.docs.amd.com/projects/ai-ecosystem/en/latest/inference/vllm.html) * [SGLang](https://rocm.docs.amd.com/projects/ai-ecosystem/en/latest/inference/sglang.html)
  • [claimed-docs] https://rocm.docs.amd.com/en/latest/Full-stack documentation and recipes to deploy AI workloads on AMD GPUs using popular ROCm-enabled frameworks.
  • [claimed-docs] https://instinct.docs.amd.com/GPU Partitioning Split compute units and memory to partition a single GPU.

Define rules that trigger actions automatically on eventsweight 3

n/a — not applicable to this product: excluded from numerator and denominator

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Schedule recurring jobs or workflowsweight 2

2 (weight) × 4 (quality) × 0.6 (partial) = 4.8 of 20 max

  • [claimed-docs] https://instinct.docs.amd.com/Spur AI-native job scheduler, drop-in compatible with Slurm, with GPU-first scheduling and Raft-based state.

Version, review, and roll back my automationsweight 1

n/a — not applicable to this product: excluded from numerator and denominator

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Automation = 9.6 ÷ 40 × 100 = 24.0