# DVC vs Together AI

**Leader by Vioscale score:** Together AI

| Attribute | DVC | Together AI |
|---|---|---|
| **Vioscale score** | 57.2 (45% (low)) | 72.8 (60% (medium)) |
| activity.commits_last_30d | 6 | - |
| adoption.dependent_repos | 12 | - |
| adoption.github_stars | 15,842 | - |
| deployment.options | `{"cloud":true,"on_prem":true,"self_hosted":true}` | `{"cloud":true}` |
| description.long | A command-line tool that enables data science teams to version control datasets and models alongside code using Git-based workflows. It supports experiment tracking, local execution without servers, multi-step data pipelines, and integration with cloud storage providers. | Together AI provides cloud infrastructure for hosting and serving open-source language, image, audio, and video models through serverless inference, reserved capacity, and dedicated GPU instances. The platform includes fine-tuning capabilities, batch processing, managed storage, and GPU cluster support for custom model development and training—eliminating the need for users to manage underlying infrastructure. |
| features.capabilities | `{"role":"framework","managed_cloud":true,"self_hostable":true,"multi_provider":true,"vpc_deployment":true,"framework_agnostic":true,"experiment_tracking":true}` | `{"role":"platform","evaluation":false,"soc2_type_ii":false,"compute_model":"multi_tenant_hybrid","managed_cloud":true,"model_serving":true,"pricing_model":"per_million_tokens","self_hostable":false,"multi_provider":true,"vpc_deployment":true,"otel_compatible":false,"no_train_on_data":"yes","llm_observability":false,"prompt_management":false,"framework_agnostic":true,"experiment_tracking":false,"openai_compatible_rest_api_schema":false,"bring_your_own_weights_byow_hosting":true,"dynamic_batching_and_kv_cache_management":false,"massive_context_window_support_100k_plus":false,"hipaa_baa_compliance_for_medical_inference":false,"multimodal_vision_and_audio_in_out_support":true,"native_function_calling_and_strict_json_mode":false,"streaming_server_sent_events_sse_token_yield":false,"lpu_or_custom_silicon_for_extreme_low_latency":false,"zero_data_retention_training_opt_out_enterprise":true}` |
| integrations.count | 6 | - |
| integrations.list | `[{"name":"S3"},{"name":"Azure"},{"name":"Google Cloud Storage"},{"name":"Hydra"},{"name":"WebDAV"},{"name":"SSH"}]` | - |
| language.primary | Python | - |
| license.spdx | Apache-2.0 | - |
| market.availability | - | `{"primaryMarkets":["US"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"cli":true,"mac":true,"linux":true,"windows":true}` | `{"cli":true,"web":true}` |
| pricing | `{"type":"open_source","summary":"Free and open source","freeTier":true,"sourceUrl":"https://dvc.org","retrievedAt":"2026-08-14T11:05:19.812Z"}` | `{"type":"usage","plans":[{"free":false,"name":"Serverless Inference","summary":"From $0.00014–$15/1M tokens depending on model. Pay only for usage.","features":["50+ open-source models","Variable pricing by model and token type","Batch API support","Private endpoints"],"components":[{"per":{"qty":1000000,"unit":"tokens"},"kind":"metered","amount":0.00014,"currency":"USD"}],"contactSales":false},{"free":false,"name":"Provisioned Throughput","summary":"Reserved throughput capacity with 99% SLA. PTU-based pricing structure.","features":["Reserved token capacity","99% uptime SLA","Token-based pricing model","Production-grade reliability"],"commitment":"monthly","contactSales":false},{"free":false,"name":"Dedicated Inference","summary":"$3.69–$8.99 per GPU per hour (on-demand); reserved discounts available.","features":["Single-tenant GPU instances","Guaranteed performance (no resource sharing)","Custom model support","Autoscaling for traffic spikes"],"commitment":"monthly","components":[{"kind":"fixed","amount":3.69,"period":"hour","currency":"USD"}],"contactSales":false}],"addOns":[{"name":"Fine-Tuning","components":[{"per":{"qty":1000000,"unit":"tokens"},"kind":"metered","amount":0.48,"currency":"USD"}]},{"name":"Managed Storage"},{"name":"GPU Clusters"}],"summary":"Usage-based pricing starting from $0.00014/1M tokens for serverless inference. Reserved capacity and dedicated GPU instances available; on-demand GPU pricing from $3.69/hour.","currency":"USD","freeTier":false,"sourceUrl":"https://www.together.ai/pricing","retrievedAt":"2026-08-21T12:44:34.463Z","startingPrice":{"unit":"tokens","amount":0.00014,"currency":"USD"},"billingPeriods":["month"]}` |
| pricing.free_tier | yes | no |
| pricing.model | commercial | commercial |
| pricing.price_level | free | low |
| pricing.starting_price | - | `{"amount":0.00014,"currency":"USD"}` |
| pricing.transparent | yes | yes |
| release.cadence_days | 25 | - |
| release.history | `[{"url":"https://github.com/treeverse/dvc/releases/tag/3.67.1","date":"2026-03-31T05:06:44Z","type":"stable","version":"3.67.1"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.67.0","date":"2026-03-14T17:13:20Z","type":"stable","version":"3.67.0"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.66.1","date":"2026-01-08T15:28:51Z","type":"stable","version":"3.66.1"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.66.0","date":"2026-01-06T13:49:31Z","type":"stable","version":"3.66.0"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.65.0","date":"2025-12-22T07:49:36Z","type":"stable","version":"3.65.0"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.64.2","date":"2025-12-06T05:10:17Z","type":"stable","version":"3.64.2"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.64.1","date":"2025-12-02T10:49:50Z","type":"stable","version":"3.64.1"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.64.0","date":"2025-11-13T08:31:59Z","type":"stable","version":"3.64.0"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.63.0","date":"2025-09-02T13:34:43Z","type":"stable","version":"3.63.0"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.62.0","date":"2025-08-12T07:55:49Z","type":"stable","version":"3.62.0"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.61.0","date":"2025-07-07T11:23:15Z","type":"stable","version":"3.61.0"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.60.1","date":"2025-06-12T08:54:00Z","type":"stable","version":"3.60.1"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.60.0","date":"2025-06-06T06:54:35Z","type":"stable","version":"3.60.0"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.59.2","date":"2025-05-06T10:58:00Z","type":"stable","version":"3.59.2"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.59.1","date":"2025-02-15T11:14:00Z","type":"stable","version":"3.59.1"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.59.0","date":"2025-01-13T07:03:26Z","type":"stable","version":"3.59.0"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.58.0","date":"2024-12-01T16:53:05Z","type":"stable","version":"3.58.0"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.57.0","date":"2024-11-26T05:34:06Z","type":"stable","version":"3.57.0"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.56.0","date":"2024-10-23T02:15:21Z","type":"stable","version":"3.56.0"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.55.2","date":"2024-09-02T15:01:06Z","type":"stable","version":"3.55.2"}]` | - |
| reliability.sla_pct | - | 99 |
| reliability.status_page | - | yes |
| security.disclosure_policy | - | yes |
| security.gdpr | - | yes |
| security.iso27001 | - | yes |
| security.scorecard | 5.6 | - |
| security.soc2 | - | yes |
| security.vulnerabilities | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=conda&package_name=dvc-s3&per_page=100","last_12m":0,"max_severity":null}` | - |

## Capabilities (MLOps & LLMOps Tools)

| Capability | DVC | Together AI |
|---|:--:|:--:|
| **Core** |  |  |
| Tool role | Agent / RAG framework | End-to-end ML platform |
| **Deployment** |  |  |
| Self-hostable / OSS core | ✓ | ✗ |
| Managed cloud available | ✓ | ✓ |
| On-prem / VPC deployment | ✓ | ✓ |
| **Observability** |  |  |
| LLM tracing / observability | - | ✗ |
| Evaluation (offline / LLM-judge / human) | - | ✗ |
| **Dev** |  |  |
| Prompt management + versioning | - | ✗ |
| **Tracking** |  |  |
| Experiment tracking / model registry | ✓ | ✗ |
| **Serving** |  |  |
| Model serving / inference endpoint | - | ✓ |
| **Interop** |  |  |
| OpenTelemetry / OpenLLMetry compatible | - | ✗ |
| Framework-agnostic | ✓ | ✓ |
| **Gateway** |  |  |
| Multi-provider model support | ✓ | ✓ |
| **Data** |  |  |
| No-train-on-customer-data guarantee | - | Yes |

*Source: Vioscale. Generated 2026-09-01T16:27:48.862Z. "-" = undocumented, not absent.*