AWS (Trainium/Inferentia)
AI Hardware & Accelerator Chips
Last updated · Compiled from public sources with automated enrichment
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Amazon's custom silicon for AI training and inference.
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- Category
- AI Hardware & Accelerator Chips
- Founded
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- Status
- Active
- Open source
- No
- Pricing
- Paid
- Funding stage
- Public
- Total raised
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- Popularity
- Rising
- Modality
- Infrastructure
- GitHub stars
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Relationships
4 of 6 confirmed by two independent sources, 2 under review · 1 backed by a published source.
competes with5
- EtchedAWS's Trainium competes with Etched's ASIC chip.
- GroqGroq competes with AWS's custom silicon.
- MatXMatX competes with AWS's Trainium chips.
- Rain AIRain AI competes with AWS's Trainium/Inferentia.
- TenstorrentAWS competes with Tenstorrent in AI hardware.
invested in1
- AnthropicAmazon invested $4 billion in Anthropic, which uses AWS Trainium for training.
References
Published sources supporting the relationships above.
- The New Silicon Triad: A Strategic Analysis of Custom AI Accelerators from Google, AWS, and Groq | Uplatz Blog
unknown publisher · supports Groq competes with AWS (Trainium/Inferentia)
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- MatXStartup designing chips purpose-built for large-model training.
- MythicAI chipmaker using analog compute for efficient edge inference.
- NVIDIADominant maker of GPUs powering most AI training and inference.
- Positron AIStartup building custom inference accelerators.
- Rain AIStartup developing brain-inspired, energy-efficient AI chips.
- TenstorrentAI chip company led by Jim Keller, building RISC-V AI processors.