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OctoML Secures $28M to Accelerate ML Model Deployment


OctoML Secures $28M to Accelerate ML Model Deployment
New funding round underscores high demand for early access to OctoML s machine learning acceleration platform that deploys to any hardware, cloud provider or edge device
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SEATTLE, March 17, 2021 /PRNewswire/  
OctoML today announced it has raised a $28 million Series B funding round, bringing the company s total amount raised to $47 million. Addition led the round with participation from existing investors Madrona Venture Group and Amplify Partners.
Built on
Apache TVM, the ML open-source stack that powers the Alexa wake word and Qualcomm s machine learning software, OctoML is an ML acceleration platform that automatically maximizes model performance while enabling continuous deployment. The company s flagship product, Octomizer, enables engineering teams to deploy models in hours not months on any hardware, cloud provider, or edge device. ....

United States , Tianqi Chen , Jared Roesch , Jason Knight , Lee Fixel , Luis Ceze , Technology Partnerships Thierry Moreau , Madrona Venture Group , Chief Architect Jared Roesch , Technology Partnerships Thierry , ஒன்றுபட்டது மாநிலங்களில் , ஜாரெட் ரோஷ் , ஜேசன் நைட் , தொழில்நுட்பம் கூட்டாண்மை தியரி மேலும் , மட்ரோனா துணிகர குழு , தலைமை கட்டட வடிவமைப்பாளர் ஜாரெட் ரோஷ் , தொழில்நுட்பம் கூட்டாண்மை தியரி ,

3rd Annual Apache TVM Conference Featured Presentations by Amazon, AMD, Arm, Bosch, Google, Microsoft and Others on Advances in Deep Learning Compilation and Optimization


3rd Annual Apache TVM Conference Featured Presentations by Amazon, AMD, Arm, Bosch, Google, Microsoft and Others on Advances in Deep Learning Compilation and Optimization
GlobeNewswire
2020-12-21
TVM Now a Top Level Project in Apache Software Foundation, Conference Highlights Advancements in Automatic ML Optimization Scheduling and Edge Device Support With Contributions from Industry Leaders in ML Hardware and Software
SEATTLE, Dec. 21, 2020 (GLOBE NEWSWIRE) OctoML, the MLOps automation company for superior model performance, portability and productivity, today announced that the 3rd Annual Apache TVM and Deep Learning Compilation Conference concluded with hundreds of attendees representing 35 countries gathering to discuss the latest advances in deep learning compiler optimization. This was the biggest TVM Conference yet, with more than 20 hours of live-streamed content presented by 65 speakers spanning more than 20 organizations. ....

Jacques Pienaar , Joey Chou , Joey Gonzalez , Tianqi Chen , Jared Roesch , David Aronchik , Lianmin Zheng , Amber Rowland , Carnegie Mellon University , University Of Toronto , Beihang University , University Of Washington , Apache Software Foundation , University Of California At Berkeley , National Tsing Hua University Taiwan , Annual Apache , Featured Presentations , Deep Learning Compilation , Top Level Project , Conference Highlights Advancements , Edge Device Support With Contributions , Industry Leaders , Deep Learning Compilation Conference , Top Level Apache Project , National Tsing Hua University , Analyst Contact ,