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Deepgram

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Deepgram 的结构

Deepgram

公司

9 个关联
上游供应与依赖
同行竞争与合作
关系出现时间2026
Deepgram公司 · 9 个关联
第 1 层

上游供应与依赖7

同行竞争与合作2

在关系网络中的位置

第 2113 位,共 75986 个前 3%本周下降 548 位

9 条直接关系

所在群组共 4027 个紧密关联的对象,核心是

按有证据的公开关系计算,每天更新。

关系

箭头表示关系方向,可按业务类别筛选。

  • Deepgram合作 →Amazon
    事实90%
    查看证据
    • 公司披露AWS Machine Learning Blog2026-10-20 00:23
      That made inference efficiency a natural target and Deepgram turned to AWS AI chips to improve it. They worked with AWS to bring its Nova-3 speech-to-text model to AWS Trainium2 for offline batch workloads such as contact-center analytics and medical transcription.
      查看来源
  • Deepgram使用 →NKI Library
    事实90%
    查看证据
    • 公司披露AWS Machine Learning Blog2026-10-20 00:23
      From that working baseline, we kicked off the optimization work by replacing several layers with fused kernels from the public NKI Library (NKILib), a collection of pre-built reference kernels written with the Neuron Kernel Interface (NKI).
      查看来源
  • 事实90%
    查看证据
    • 公司披露AWS Machine Learning Blog2026-10-20 00:23
      At each step, a different part of the Neuron stack accelerates the work: NKILib provides drop-in replacement kernels, Neuron Explorer is the go-to tool for profiling Neuron workloads, and the Neuron Agentic Development (NAD) toolkit speeds up profiling analysis and kernel tuning…
      查看来源
  • 事实90%
    查看证据
    • 公司披露AWS Machine Learning Blog2026-10-20 00:23
      At each step, a different part of the Neuron stack accelerates the work: NKILib provides drop-in replacement kernels, Neuron Explorer is the go-to tool for profiling Neuron workloads, and the Neuron Agentic Development (NAD) toolkit speeds up profiling analysis and kernel tuning…
      查看来源
  • Deepgram使用 →Rust
    事实90%
    查看证据
    • 公司披露AWS Machine Learning Blog2026-10-20 00:23
      Deepgram’s production serving stack is written in Rust
      查看来源
  • Deepgram使用 →AWS Trainium2
    事实90%
    查看证据
    • 公司披露AWS Machine Learning Blog2026-10-20 00:23
      porting Nova-3 to Trainium2 required more than compiling the model
      查看来源
  • Deepgram使用 →AWS Trainium
    事实90%
    查看证据
    • 公司披露AWS Machine Learning Blog2026-10-20 00:23
      we demonstrated how Deepgram and the AWS FDE ported the Nova-3 speech-to-text PyTorch model to Trainium hardware
      查看来源
  • Deepgram使用 →Trainium
    事实55%
    查看证据

显示第 1 至 8 条,共 9 条

结论

结合来源阅读结论,展开条目查看证据。

事实证据 1

暂无可公开的证据摘要。

TechCrunch AI · 2026-10-20 04:09

查看证据
事实证据 1
audio processed per dollar increase70% more

暂无可公开的证据摘要。

TechCrunch AI · 2026-10-20 04:09

查看证据
事实证据 1
使用Trainium

暂无可公开的证据摘要。

TechCrunch AI · 2026-10-20 04:09

查看证据
事实证据 1

we demonstrated how Deepgram and the AWS FDE ported the Nova-3 speech-to-text PyTorch model to Trainium hardware

AWS Machine Learning Blog · 2026-10-20 00:23

查看证据
  • 公司披露AWS Machine Learning Blog2026-10-20 00:23
    we demonstrated how Deepgram and the AWS FDE ported the Nova-3 speech-to-text PyTorch model to Trainium hardware
    查看来源
事实证据 1

porting Nova-3 to Trainium2 required more than compiling the model

AWS Machine Learning Blog · 2026-10-20 00:23

查看证据
  • 公司披露AWS Machine Learning Blog2026-10-20 00:23
    porting Nova-3 to Trainium2 required more than compiling the model
    查看来源
事实证据 1
使用Rust

Deepgram’s production serving stack is written in Rust

AWS Machine Learning Blog · 2026-10-20 00:23

查看证据
  • 公司披露AWS Machine Learning Blog2026-10-20 00:23
    Deepgram’s production serving stack is written in Rust
    查看来源

显示第 1 至 6 条,共 14 条

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