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Founder of a listed tool

Chris A. Malachowsky

Named behind 13 listings on Anchor Terminal.

Chris A. Malachowsky

Co-founder and NVIDIA Fellow, NVIDIA

Chris Malachowsky co-founded NVIDIA in 1993 and is an NVIDIA Fellow on its executive staff. He has led IT, operations, product engineering and, most recently, the company's research organisation. Before NVIDIA he held engineering roles at HP and Sun Microsystems, and he has authored close to 40 patents.

What Chris builds

  • NVIDIA NeMo Guardrails B · Guardrails & safety filters

    Open-source Python toolkit that runs input, output, retrieval, dialogue and tool rails around any LLM.

    Co-founder and NVIDIA Fellow, NVIDIA, researched 28 October 2026 · the people behind it

  • Nemotron 3.5 ASR Streaming 0.6B C · Speech-to-text

    Nemotron 3.5 ASR Streaming 0.6B is NVIDIA's open-weight streaming speech recognition model, a 600M-parameter FastConformer with an RNN-T decoder, transcribing 32 language-locales with punctuation and an optional detected-language tag at chunk sizes from 80 ms to 1.12 s, under OpenMDW-1.1.

    Co-founder and NVIDIA Fellow, NVIDIA, researched 28 October 2026 · the people behind it

  • NVIDIA Nemotron 3.5 Bolt E4B 4GB C · Open-weight models

    Nemotron 3.5 Bolt E4B 4GB is NVIDIA's open-weight small language model for local voice assistants, interactive characters and device agents, post-trained from Google's Gemma 4 E4B, with 8B parameters (4B effective) and a 64K-token context.

    Co-founder and NVIDIA Fellow, NVIDIA, researched 28 October 2026 · the people behind it

  • Nemotron 3.5 Lightning 30B A3B B · Open-weight models

    Nemotron 3.5 Lightning is NVIDIA's open-weight hybrid Mamba-2 and mixture-of-experts reasoning model for agents, 30B parameters with 3B active and up to 1M tokens of context, published on Hugging Face in BF16 and NVFP4 under OpenMDW-1.1.

    Co-founder and NVIDIA Fellow, NVIDIA, researched 28 October 2026 · the people behind it

  • Nemotron 3.5 Parse B · Document parsing & extraction

    Nemotron 3.5 Parse is NVIDIA's open-weight document parser, 0.63B parameters, that turns a page image into text with layout classes, bounding boxes and reading order, and renders Markdown, HTML tables and JSON, under OpenMDW-1.1.

    Co-founder and NVIDIA Fellow, NVIDIA, researched 28 October 2026 · the people behind it

  • Nemotron 3.5 Super VL C · Model APIs & inference

    Nemotron 3.5 Super VL is NVIDIA's open-weight vision-language model for agents, a 120B mixture of experts with 12B active parameters that reads text, images and video. NVIDIA hosts a free trial endpoint, and the weights are under OpenMDW-1.1.

    Co-founder and NVIDIA Fellow, NVIDIA, researched 28 October 2026 · the people behind it

  • Nemotron 3 Nano 30B A3B B · Open-weight models

    Nemotron 3 Nano 30B A3B is NVIDIA's open-weight hybrid Mamba-Transformer mixture of experts for reasoning and agent work, 30B parameters with 3.5B active, published on Hugging Face in BF16, FP8 and NVFP4.

    Co-founder and NVIDIA Fellow, NVIDIA, researched 28 October 2026 · the people behind it

  • Nemotron 3 Nano 4B C · Open-weight models

    Nemotron 3 Nano 4B is NVIDIA's open-weight small hybrid Mamba-2 and Transformer reasoning model for agents on edge devices, 4B parameters compressed from Nemotron Nano 9B v2, published in BF16, FP8 and GGUF under the NVIDIA Nemotron Open Model License.

    Co-founder and NVIDIA Fellow, NVIDIA, researched 28 October 2026 · the people behind it

  • Nemotron 3 Nano Omni 30B A3B Reasoning C · Open-weight models

    Nemotron 3 Nano Omni is NVIDIA's open-weight multimodal model that takes video, audio, images and text and returns text, a hybrid Mamba-Transformer mixture of experts with about 31B parameters and 3B active, published in BF16, FP8 and NVFP4.

    Co-founder and NVIDIA Fellow, NVIDIA, researched 28 October 2026 · the people behind it

  • Nemotron 3 Super 120B A12B B · Open-weight models

    Nemotron 3 Super is NVIDIA's open-weight hybrid Mamba-2 and mixture-of-experts reasoning model for agents, 120B parameters with 12B active, published on Hugging Face in BF16, FP8 and NVFP4 under the NVIDIA Nemotron Open Model License.

    Co-founder and NVIDIA Fellow, NVIDIA, researched 28 October 2026 · the people behind it

  • Nemotron 3 Ultra 550B A55B B · Open-weight models

    Nemotron 3 Ultra is NVIDIA's largest open-weight hybrid Mamba-2 and latent mixture-of-experts reasoning model for agents, 550B parameters with 55B active and up to 1M tokens of context, published on Hugging Face in BF16 and NVFP4 under OpenMDW-1.1.

    Co-founder and NVIDIA Fellow, NVIDIA, researched 28 October 2026 · the people behind it

  • NVIDIA NeMo Retriever Embedding and Reranking NIMs C · Embeddings & rerankers

    NVIDIA's NeMo Retriever Embedding and Reranking NIMs are GPU containers that run text and image embedding models and rerankers behind a local REST API, with /v1/embeddings in the OpenAI shape and /v1/ranking.

    Co-founder and NVIDIA Fellow, NVIDIA, researched 28 October 2026 · the people behind it

  • Parakeet TDT 0.6B v3 B · Speech-to-text

    Parakeet TDT 0.6B v3 is NVIDIA's open-weight speech recognition model for 25 European languages, a 0.6B-parameter FastConformer encoder with a TDT decoder that detects the language and returns punctuated text with word and segment timestamps, under CC BY 4.0.

    Co-founder and NVIDIA Fellow, NVIDIA, researched 28 October 2026 · the people behind it

Works with

Questions

Who is Chris A. Malachowsky?

Chris Malachowsky co-founded NVIDIA in 1993 and is an NVIDIA Fellow on its executive staff. He has led IT, operations, product engineering and, most recently, the company's research organisation. Before NVIDIA he held engineering roles at HP and Sun Microsystems, and he has authored close to 40 patents.

What does NVIDIA make?

Anchor Terminal lists NVIDIA NeMo Guardrails, Nemotron 3.5 ASR Streaming 0.6B, NVIDIA Nemotron 3.5 Bolt E4B 4GB, Nemotron 3.5 Lightning 30B A3B, Nemotron 3.5 Parse, Nemotron 3.5 Super VL, Nemotron 3 Nano 30B A3B, Nemotron 3 Nano 4B, Nemotron 3 Nano Omni 30B A3B Reasoning, Nemotron 3 Super 120B A12B, Nemotron 3 Ultra 550B A55B, NVIDIA NeMo Retriever Embedding and Reranking NIMs and Parakeet TDT 0.6B v3 from NVIDIA. Open-source Python toolkit that runs input, output, retrieval, dialogue and tool rails around any LLM.

How are Chris's tools graded?

NVIDIA NeMo Guardrails is graded B, 68.8 out of 100; Nemotron 3.5 ASR Streaming 0.6B is graded C, 59.8 out of 100; NVIDIA Nemotron 3.5 Bolt E4B 4GB is graded C, 61 out of 100; Nemotron 3.5 Lightning 30B A3B is graded B, 64.2 out of 100; Nemotron 3.5 Parse is graded B, 66.5 out of 100; Nemotron 3.5 Super VL is graded C, 59 out of 100; Nemotron 3 Nano 30B A3B is graded B, 67.1 out of 100; Nemotron 3 Nano 4B is graded C, 56.8 out of 100; Nemotron 3 Nano Omni 30B A3B Reasoning is graded C, 60.7 out of 100; Nemotron 3 Super 120B A12B is graded B, 66.2 out of 100; Nemotron 3 Ultra 550B A55B is graded B, 68.8 out of 100; NVIDIA NeMo Retriever Embedding and Reranking NIMs is graded C, 61.1 out of 100; Parakeet TDT 0.6B v3 is graded B, 66.9 out of 100, on Anchor Terminal's benchmark, which scores every listing against the same checklist.

Sources (23)

These are the people building the tools we list, named for their public role in the company or project behind a listing, from public pages, with the date it was researched. They don't work for Anchor Terminal (our own team is on the about page). We show public roles, public profiles and what the listing pages show, nothing private. To correct something, send an about or a photo, or have a page removed, write to privacy@anchorterminal.com.

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