
Annapurna Labs
Annapurna Labs invents the next generation of cloud computing infrastructure, focusing on compute, machine learning, storage, and networking.
About
Annapurna Labs is a semiconductor company that designs custom chips for Amazon Web Services (AWS). Their innovations power AWS's cloud infrastructure, enhancing performance and efficiency for compute, machine learning, storage, and networking services. They are actively hiring to fuel the growth of AWS's infrastructure.
Key facts
At-a-glance profile data
- Website
- amazon.jobs
- Headquarters
- Tel Aviv, Israel
- Founded
- 2011
- Employees
- 295
- Total funding
- $40M (Series B)
- Business model
- B2B
Tech stack
Detected on amazon.jobs, last scanned 6 Sept 2026. Run your own scan
- Frontend
- Bootstrap
- Analytics
- Google Analytics 4, Google Tag Manager
- Hosting
- AWS
“Talent Exodus At Amazon? Annapurna Labs Leader Reportedly Departs Company - Gadi Hutt the arrogant Israeli bashing AMD's GPUs was kicked out! Amazon will buy AMD's GPUs not nVidia's! Yay!. https://stocktwits.com/news-articles/markets/equity…”
View on Reddit“Sorry for all the current employees at Amazon that got impacted. I recently received an offer for one of the roles at Annapurna Labs with joining date in next few weeks. Anyone knows the layoff impact on Annapurna Labs? I heard this org is…”
View on Reddit“Annapurna Labs (AWS Neuron) Compiler Engineer (Cupertino, CA) TC: ~200k + Working with AI accelerators seems fun + Architecture is unique so there will be many exciting problems - Annapurna Labs is owned by Amazon and Amazon culture doesn't…”
View on RedditSome comments are pulled from public discussions around the web (look for the source icon). Quotes are excerpts; click through to read the full thread.
Frequently asked
How much funding has Annapurna Labs raised?
Annapurna Labs has raised a total of $40M in funding. The most recent round on record is Series B.
How many employees does Annapurna Labs have?
Annapurna Labs has approximately 295 people on record.
NVIDIA A100/H100 GPUs
Annapurna Labs' Trainium and Inferentia chips compete with NVIDIA's GPUs for AI training and inference workloads in cloud data centers.
Intel Xeon processors / Gaudi AI accelerators
Annapurna Labs' Graviton processors compete with Intel Xeon processors for general-purpose compute in cloud environments, and their AI chips compete with Intel's AI accelerators.
AMD EPYC processors / Instinct Accelerators
Annapurna Labs' Graviton processors compete with AMD EPYC processors for general-purpose compute in cloud environments, and their AI chips compete with AMD's Instinct accelerators.
Data infrastructure solutions
Marvell Technology Inc. is a global fabless semiconductor company providing data infrastructure solutions, which could overlap with Annapurna Labs' focus on networking and storage chips for data centers.
Chip and silicon intellectual property technology
Rambus is a chip and silicon intellectual property technology company, which could compete with Annapurna Labs in certain areas of chip design and intellectual property.
AI/ML Development
Anthropic has announced large deals running their Claude models on Annapurna Labs' Trainium chips through AWS, indicating a need for high-performance AI training infrastructure.
AI/ML Development
OpenAI has announced large deals running on Annapurna Labs' Trainium3, demonstrating a requirement for advanced AI training capabilities.
Cloud Service Providers / AI Development
Apple has announced that they are using Inferentia and planning to use Trainium, suggesting a need for specialized AI inference and training hardware for their services.
Confirmed customer relationships for Annapurna Labs. Speculative buyer-fit guesses are not shown.