What is NVIDIA Triton Inference Server?
An open-source platform that deploys AI models built with PyTorch, ONNX, TensorFlow, and other frameworks, supporting real-time and batch inference workloads. It runs on NVIDIA GPUs, CPUs, and accelerators, with integrations for Kubernetes orchestration and Prometheus monitoring in both cloud and on-premises environments.
NVIDIA Triton Inference Server pricing
We don't have NVIDIA Triton Inference Server's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
Platform & deployment
Independently observed- CLI
- Linux
- Windows
- Cloud / SaaS
- Hybrid
- On-premise
- Self-hosted
Integrations (8)
Independently observed- Kubernetes
- Prometheus
- TensorRT
- PyTorch
- ONNX
- OpenVINO
- RAPIDS FIL
- Python
Security & compliance
Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality
NVIDIA Triton Inference Server alternatives
Other model serving we track, ranked by the same independent score.
- KServelow · 19%
- TorchServelow · 28%
- Hugging Face Text Generation Inferencelow · 27%
- NVIDIA NIMSelf-hosted GPU-accelerated inference containers for deploying AI models across clouds and edge deviceslow · 36%
- LMDeploylow · 23%
- Amazon SageMaker InferenceA cloud platform for deploying machine learning models with low-latency and high-throughput inference capabilitieslow · 40%
The Vioscale score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for NVIDIA Triton Inference Server, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Price level | 100 | 0.05 | 5.2 | ✓ |
| Release cadence | 84 | 0.05 | 4.4 | ✓ |
| Development activity | 35 | 0.09 | 3.3 | ✓ |
| Security score | 70 | 0.04 | 2.9 | ✓ |
| Integrations | 27 | 0.09 | 2.6 | ✓ |
| Stars | 76 | 0.03 | 2.0 | ✓ |
| Reliability | 0 | 0.07 | 0.0 | - |
| Capabilities | 0 | 0.08 | 0.0 | - |
| Dependent projects | 0 | 0.06 | 0.0 | ✓ |
| Security posture | 0 | 0.07 | 0.0 | - |
| Package downloads | 0 | 0.14 | 0.0 | - |
| Pricing transparency | 0 | 0.08 | 0.0 | - |
| Developer Q&A activity | 0 | 0.06 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 12 | mediumsource · 2026-08-26 · 65% |
Adoption
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 8 | mediumsource · 2026-08-19 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Python | highsource · 2026-08-26 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | BSD-3-Clause | highsource · 2026-08-26 · 95% |