Reported impact
Business outcome
Reported outcomes include 10 Days to pretrain an 8-billion; 20% Speedup in model training.
- Speed to Market
DatabricksSoftware / SaaSAI and Machine LearningData PlatformGenerative AI / LLMSpeed to Market2024 DatabricksDB#ff3621Software / SaaSUnited StatesDynamo AI was founded in 2022 to empower companies to safely adopt AI solutions in a rapidly changing landscape of emerging regulations and compliance challenges. However, they face challenges in making sure that the…10 Days to pretrain an 8-billionJun 6, 20246Databricks Data + AI Platform · Databricks Training0 2024-06-06 6
Dynamo AI
Dynamo AI was founded in 2022 to empower companies to safely adopt AI solutions in a rapidly changing landscape of emerging regulations and compliance challenges. However, they face challenges in making sure that the model is providing the right information and is not harming either their business or the consumer.
10 Days to pretrain an 8-billion
20% Speedup in model training
Solution
Dynamo AI builds multilingual foundation models that democratize access to compliant and secure GenAI. Recently, they used Databricks Training to train their 8-billion parameter multilingual LLM in just 10 days. Dynamo AI was founded in 2022 to empower companies to safely adopt AI solutions in a rapidly changing landscape of emerging regulations and compliance challenges. Their product suite spans the entire AI development lifecycle, ensuring the secure and responsible production and deployment of enterprise-grade AI systems. Eric Lin, Head of Applied AI at Dynamo AI, explains, “We enable enterprises to train, develop and then deploy models in a way that’s compliant with safety regulations. We take a lot of the cutting-edge research we learned from our academic roots at MIT and Harvard and deploy it at scale for millions of customers.”
Data flow
Operational, customer, and transactional data lands in Databricks, is transformed in the lakehouse.
Solution architecture
- Compute
- Databricks Data + AI Platform Provides the shared lakehouse environment for ingestion, engineering, analytics, and AI workloads.
- Databricks Training Trains custom machine learning and foundation models on Databricks-managed infrastructure.
Evidence from the source
10 Days to pretrain an 8-billion
20% Speedup in model training
Dynamo AI builds multilingual foundation models that democratize access to compliant and secure GenAI.
Dynamo AI was founded in 2022 to empower companies to safely adopt AI solutions in a rapidly changing landscape of emerging regulations and compliance challenges.
Recently, they used Databricks Training to train their 8-billion parameter multilingual LLM in just 10 days.
Transparency Evidence & methodology
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
How scores are calculated
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Customer reference value81/100
- Problem clarity20/20Measures whether the customer's operational problem is specific enough to compare.
- Implementation depth15/25Rewards named components, data flow, integrations, and architecture detail.
- Outcome specificity16/20Measures whether the reported benefit is concrete rather than a generic claim.
- Quantified impact25/252 metrics describe measurable impact.
- Deployment scale5/10Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence92%
- Source authority20/25The main evidence is an official vendor-published customer story.
- Claim traceability23/2511 of 12 key fields link to a named source.
- Direct evidence20/205 direct source quotes retained.
- Date provenance10/10The publication date comes from the source page or publisher.
- Source transparency9/102 source references document publisher, URL, authority, retrieval, and supported fields.
- Implementation specificity10/10Rewards source-backed components, data flow, quantified impact, and a specific outcome.
Traceability
Sources & provenance
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
- https://www.databricks.com/customers/dynamo-aiDatabricksFirst-party
Dynamo AI customer story
Supports- Customer
- Business problem
- Solution
- Products
- Solution components
- Data flow
- Integrations
- technical area
- use case category
- Business outcome
- outcome category
- Metrics
- Architecture
- evidence quotes
- Publication date
- https://www.dynamo.ai/privacy-policyDynamo AIFirst-party
Privacy Policy
DynamoFL, Inc. (Dynamo AI) 2261 Market Street #4629, San Francisco, CA 94114, United States
Supports- Region
Date evidence
- Published on source page Jun 6, 2024 · Databricks · First-partyOpen date source
Not separately sourced Industry, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.
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