Gregory Diamos
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Gregory Diamos Email & Phone Number

ScalarLM Architect at TensorWave
Location: San Francisco Bay Area, United States 14 work roles 1 school
1 work email found @mlcommons.org 3 phones found area 404 and 408 LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 3 phones

Work email g****@mlcommons.org
Direct phone (404) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
ScalarLM Architect
Location
San Francisco Bay Area, United States

Who is Gregory Diamos? Overview

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Quick answer

Gregory Diamos is listed as ScalarLM Architect at TensorWave, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at mlcommons.org, phone signal with area code 404, 408, and a matched LinkedIn profile for Gregory Diamos.

Gregory Diamos previously worked as Advisor at Celestial Ai and Co-Founder at Mlcommons. Gregory Diamos holds Doctor Of Philosophy (Phd), Electrical And Electronics Engineering from Georgia Institute Of Technology.

Company email context

Email format at TensorWave

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{first}@mlcommons.org
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AeroLeads found 1 current-domain work email signal for Gregory Diamos. Compare company email patterns before reaching out.

Profile bio

About Gregory Diamos

My objective is to affect an industry shift to massively intelligent computers that increase automation across every major industry and are super aligned to human objectives.

Listed skills include Computer Architecture, Algorithms, Machine Learning, Cuda, and 15 others.

Current workplace

Gregory Diamos's current company

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TensorWave
Tensorwave
ScalarLM Architect
California, United States
AeroLeads page
14 roles · 13 years

Gregory Diamos work experience

A career timeline built from the work history available for this profile.

Scalarlm Architect

California, United States

Advisor

Current

Santa Clara, California, Us

Mar 2021 - Present

Co-Founder

Current

San Francisco, Us

Co-founder of MLPerf, the industry standard benchmark for ML systems.MLCommons is an open engineering consortium dedicated to improving machine learning for everyone. We have launched open datasets and tools to drive democratization of machine learning https://mlcommons.org/en/news/neurips21/

2018 - Present ~8 yrs 6 mos

Chief Technology Officer

San Francisco, Us

Founded an LLM systems startup. We invented a new finetuning technology to remove LLM hallucinations. We deployed to more than 10 enterprise contracts, 50 design partners, and 15,000 developers. Raised $26M and led a team of 30.

2022 - 2024 ~2 yrs

Fellow

Amd

Santa Clara, California, Us

Figured out how to build LLM systems on AMD HW (MI100, MI200, MI300), prototyped with emerging AI startups.

2021 - 2022 ~1 yr

Startup 0->1

Startup

I learned how to create and work with startups by working with AI Fund companies, including Landing AI and Netail.

2019 - 2021 ~2 yrs

Llm Scaling Law Researcher

Beijing, Cn

Built and programmed the first 1000 CUDA GPU cluster to train a deep learning model that was shipped at scale to 100s of millions of users.Discovered scaling laws, motivating large language models - shipped them in the Baidu search engine: https://arxiv.org/pdf/1712.00409.pdfFounding member of the Silicon Valley AI Lab, contributed to the DeepSpeech and DeepVoice systems. Lead a team of 40 systems and machine learning researchers. Deep Speech was named a top 10 breakthrough technology of the year by MIT Tech Review. We achieved state-of-the-art results in noisy (low SNR) English speech and challenging English conversational speech using deep learning and a high performance training system.

2014 - 2019 ~5 yrs

Architect, Cuda Software

Santa Clara, Ca, Us

Explored CUDA for many different applications, including deep learning.

Jan 2014 - Aug 2014

Architect, Volta Streaming Multiprocessor

Santa Clara, Ca, Us

Invented the independent thread scheduling system that shipped in the Volta GPU.

Jan 2013 - Dec 2013

Einstein Compiler Researcher

Nvidia

Wrote the compiler for DARPA UHCP project Echelon, based on Ocelot.

Feb 2010 - Dec 2011

Gen Compiler

Santa Clara, California, Us

Wrote an Ocelot backend for the GEN GPU.

May 2010 - Aug 2010

Redfox Compiler

Atlanta, Ga, Us

Wrote an Ocelot based code generator for a GPU based SQL database engine. My first startup experience.

May 2009 - Aug 2009

Cuda Intern

Nvidia

Interned in John Nickoll's CUDA architecture group. Wrote the first version of the Ocelot compiler.

May 2008 - Aug 2008
1 education record

Gregory Diamos education

  • Georgia Institute Of Technology
    Georgia Institute Of Technology
    Electrical And Electronics Engineering
FAQ

Frequently asked questions about Gregory Diamos

Quick answers generated from the profile data available on this page.

What company does Gregory Diamos work for?

Gregory Diamos works for TensorWave.

What is Gregory Diamos's role at TensorWave?

Gregory Diamos is listed as ScalarLM Architect at TensorWave.

What is Gregory Diamos's email address?

AeroLeads has found 1 work email signal at @mlcommons.org for Gregory Diamos at TensorWave.

What is Gregory Diamos's phone number?

AeroLeads has found 3 phone signal(s) with area code 404, 408 for Gregory Diamos at TensorWave.

Where is Gregory Diamos based?

Gregory Diamos is based in San Francisco Bay Area, United States while working with TensorWave.

What companies has Gregory Diamos worked for?

Gregory Diamos has worked for Tensorwave, Celestial Ai, Mlcommons, Startup, and Amd.

How can I contact Gregory Diamos?

You can use AeroLeads to view verified contact signals for Gregory Diamos at TensorWave, including work email, phone, and LinkedIn data when available.

What schools did Gregory Diamos attend?

Gregory Diamos holds Doctor Of Philosophy (Phd), Electrical And Electronics Engineering from Georgia Institute Of Technology.

What skills is Gregory Diamos known for?

Gregory Diamos is listed with skills including Computer Architecture, Algorithms, Machine Learning, Cuda, Compiler Optimization, Parallel Algorithms, C, and Simulations.

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