NVIDIA

AI Hardware & Accelerator Chips

Last updated · Compiled from public sources with automated enrichment

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Dominant maker of GPUs powering most AI training and inference.

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Details

Category
AI Hardware & Accelerator Chips
Founded
1993
Status
Active
Open source
No
Pricing
Enterprise
Funding stage
Public
Total raised
Popularity
Trending
Modality
Infrastructure
GitHub stars

Relationships

24 of 41 confirmed by two independent sources, 17 under review · 33 backed by a published source.

competes with17
  • AMDDirect competitor in AI accelerators
  • BlaizeBlaize competes with NVIDIA's Jetson platform for edge AI workloads.
  • CerebrasAI hardware market
  • d-MatrixCompetes in AI inference acceleration
  • EtchedNVIDIA's GPUs compete with Etched's ASIC chip.
  • Google (TPU)TPUs compete with NVIDIA's GPU accelerators for ML workloads.
  • GraphcoreCompetes in AI accelerator market
  • GroqGroq competes with NVIDIA's GPUs.
  • HailoEdge AI inference chips
  • Intel (Gaudi)AI accelerator market
  • MatXMatX competes with NVIDIA's GPUs.
  • MythicCompetes in edge AI inference hardware
  • Positron AIPositron AI competes with NVIDIA's GPUs.
  • Rain AIRain AI competes with NVIDIA's GPUs.
  • SambaNovaCompetes in AI hardware accelerators
  • TenstorrentNVIDIA competes with Tenstorrent in AI accelerators.
  • Untether AIUntether AI competes with NVIDIA in energy-efficient AI inference accelerators.
integrates with5
  • Domino Data LabIntegration with NVIDIA GPU computing and AI platforms
  • H2O.aiH2O.ai integrates with NVIDIA GPUs for accelerated machine learning.
  • HiddenLayerPartners with NVIDIA for GPU-accelerated ML security
  • RunwayUses NVIDIA GPUs for training and inference
  • V7 LabsIntegration with NVIDIA AI Enterprise for accelerated data labeling
used by10
  • CoreWeaveUses NVIDIA GPUs for its cloud infrastructure
  • Crusoe EnergyUses NVIDIA GPUs for cloud compute
  • DeepBrain AIUses NVIDIA GPUs for AI training and inference
  • Fireworks AIRuns on Nvidia GPUs for inference
  • Lambda LabsLambda Labs uses NVIDIA GPUs in its cloud and hardware products.
  • RunPodGPU hardware provider
  • SynthesiaUses NVIDIA GPUs for rendering
  • Tempus AIUses NVIDIA Clara platform for AI model development and deployment
  • Together AILeverages NVIDIA GPUs for compute
  • UnitreeUses NVIDIA Jetson modules for onboard AI computing
powers2
investor5
acquired by1
  • OctoAIAcquired by NVIDIA in 2024

References

Published sources supporting the relationships above.

News

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