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Determined AI vs ONNX Runtime

A side-by-side editorial comparison of Determined AI and ONNX Runtime — release velocity, themes, recent moves, and the top alternatives to consider.

Determined AI vs ONNX Runtime: at a glance

FeatureDetermined AIONNX Runtime
Sectorai-assistantsai-assistants
Velocity score0.07.5
Sparks · 30d02
Top themestraining platform, stale feed, release tooling, kubernetesexecution-providers, plugin-architecture, cuda, webgpu
Last editorial update11d ago1d ago
WebsiteVisit →Visit →

What is Determined AI?

Determined's release feed stops in March 2025, and its last entries are release plumbing.

Every release in the window sits in a three-week stretch of March 2025 around a single version, 0.38.1, published across enterprise, release-candidate and dry-run tags. Their contents are the release process itself: pinning aiohttp-cors because 0.8.0 broke the last Ray version supporting Python 3.8, marking release candidates as draft rather than pre-release, fixing goreleaser field keys, removing a codecov dependency, retiring preview and GKE clusters from CI, and upgrading swagger-ui. The one user-facing item is a documentation warning added to the obsolete managed-service deployment page.

Read the full Determined AI trajectory →

What is ONNX Runtime?

ONNX Runtime is dismantling itself into plug-ins — CUDA is now the one that ships separately.

ONNX Runtime is running two release tracks at once: the numbered core releases (1.25 through 1.29) and a growing set of separately versioned plug-in execution providers. WebGPU broke out first in May, and CUDA has now followed with its own 0.1.0. The core releases in between are dominated by security hardening, opset upgrades and deprecation notices rather than new capability.

Read the full ONNX Runtime trajectory →

Determined AI vs ONNX Runtime: editorial side-by-side

D
Determined AI
AI-ASSISTANTS
0.0

Determined's release feed stops in March 2025, and its last entries are release plumbing.

◆ Current state

Every release in the window sits in a three-week stretch of March 2025 around a single version, 0.38.1, published across enterprise, release-candidate and dry-run tags. Their contents are the release process itself: pinning aiohttp-cors because 0.8.0 broke the last Ray version supporting Python 3.8, marking release candidates as draft rather than pre-release, fixing goreleaser field keys, removing a codecov dependency, retiring preview and GKE clusters from CI, and upgrading swagger-ui. The one user-facing item is a documentation warning added to the obsolete managed-service deployment page.

◆ Where it's heading

There is no product signal here to read a direction from — these are the artefacts of a release pipeline being tidied, published as releases because the tooling tags every candidate. What the window does show is a deprecation: the MLDE managed service documentation was marked obsolete in the same batch, which is the only statement about the product's shape in the entire set.

◆ Prediction

The feed has been silent for roughly seventeen months, so there is no observable cadence to project from. Treat the absence of releases, rather than their contents, as the finding.

O
ONNX Runtime
AI-ASSISTANTS
7.5

ONNX Runtime is dismantling itself into plug-ins — CUDA is now the one that ships separately.

◆ Current state

ONNX Runtime is running two release tracks at once: the numbered core releases (1.25 through 1.29) and a growing set of separately versioned plug-in execution providers. WebGPU broke out first in May, and CUDA has now followed with its own 0.1.0. The core releases in between are dominated by security hardening, opset upgrades and deprecation notices rather than new capability.

◆ Where it's heading

The direction is a smaller core binary with accelerators attached at runtime. The 1.26 notes stated the intent outright — CUDA moving to a dedicated execution provider rather than a package shipped from core — and 0.1.0 delivers it, with version-gated callbacks maintaining compatibility back to 1.24.4. Alongside that, the deprecation list keeps growing: CUDA 11, then CUDA 12, WebGL and JSEP, ArmNN, the duktape WGSL generator. Web inference is being consolidated onto WebGPU and native inference onto plug-ins.

◆ Prediction

Expect the plug-in EPs to take over release cadence from the core, with CUDA 12 removed in 1.27 as announced and further backends following WebGPU and CUDA out of the main binary.

Alternatives to Determined AI and ONNX Runtime

Other ai-assistants products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Determined AI or ONNX Runtime.

See all Determined AI alternatives → · See all ONNX Runtime alternatives →

Recent activity from Determined AI and ONNX Runtime

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 1d agoONNX RuntimeCUDA becomes a standalone plug-in execution provider
  2. 7d agoONNX RuntimeONNX Runtime 1.29 deprecates WebGL and JSEP, adds POSIX telemetry
  3. 7d agoONNX RuntimeONNX Runtime 1.26 adds RISC-V vector support and .ort memory mapping
  4. 20d agoONNX RuntimeWebGPU plug-in: FlashAttention fusions, Qwen3 and Gemma 4 paths
  5. 25d agoONNX RuntimeONNX 1.22 upgrade, slimmer CUDA footprint, experimental C API
  6. 1mo agoONNX RuntimePatch release: QMoE batch-1 decode fast path and fixes
  7. 1y agoDetermined AIEnterprise build of 0.38.1 (CI and dependency commits)
  8. 1y agoDetermined AIRelease candidate pinning aiohttp-cors for Ray compatibility
  9. 1y agoDetermined AIRelease candidate with documentation dependency updates
  10. 1y agoDetermined AIRelease candidates relabelled as draft; goreleaser fix
  11. 1y agoDetermined AIEnterprise dry-run tag from goreleaser work
  12. 1y agoDetermined AIDry-run tag from goreleaser configuration work

Frequently asked questions

What is the difference between Determined AI and ONNX Runtime?

They serve adjacent needs but don't currently overlap on shipped themes. ONNX Runtime is currently shipping more aggressively (velocity 7.5 vs 0.0), with 2 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is Determined AI better than ONNX Runtime?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ONNX Runtime is currently shipping more aggressively (velocity 7.5 vs 0.0), with 2 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other ai-assistants products to evaluate alongside.

What are the best alternatives to Determined AI?

Top Determined AI alternatives in ai-assistants are ranked by recent ship velocity. Browse the "Determined AI alternatives" section above for the current picks, or visit /alternatives/determined for the full list with editorial commentary on each.

What are the best alternatives to ONNX Runtime?

Top ONNX Runtime alternatives in ai-assistants are ranked by recent ship velocity. Browse the "ONNX Runtime alternatives" section above for the current picks, or visit /alternatives/onnx-runtime for the full list with editorial commentary on each.