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Developer of an artificial intelligence inference platform designed for users to get insights from their data.

Developer of an artificial intelligence inference platform designed for users to get insights from their data.
What they do: Batch LLM inference and orchestration platform for high-throughput offline inference
Tech focus: Open-source LLMs (examples: Llama-2 70B, Mixtral 8x7B, CodeLlama 70B) and tasks like extraction, summarization, classification, embeddings
Integrations: Connectors for AWS S3, Azure Blob, Google Cloud, Databricks, Snowflake, MongoDB Atlas
Funding: $200,000 accelerator/incubator funding (Sept 1, 2023)
Operationalizing large-language-model inference for batch/offline high-throughput workloads
Artificial intelligence / Machine learning
200000.00 USD
Participated in Berkeley SkyDeck accelerator
“Berkeley SkyDeck; Berkeley SkyDeck Fund”
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