Thunder Compute

Thunder Compute
Virtualizing GPUs to maximize utilization for cloud providers and enterprises.
About
What does Thunder Compute do?
Thunder Compute virtualizes GPUs to make them abundant, addressing their underutilization by applying systems-level virtualization to the hardware. Their cloud platform and enterprise solutions enable data centers to achieve step-change improvements in capacity by treating GPUs as network resources. They serve organizations looking to maximize their GPU investments.
Is Thunder Compute trustworthy and reputable?
StartupHub's Data Trust & Reputation score for Thunder Compute is 87 out of 100, based on site security posture and privacy practices.
What is Thunder Compute's revenue?
StartupHub estimates Thunder Compute's annual revenue at $3.1M (range $1.5M to $6.0M, 36% confidence), based on comparable companies in the sector.
What is Thunder Compute's valuation?
StartupHub estimates Thunder Compute's effective valuation at $44.2M (range $32.5M to $78.0M, 29% confidence), based on comparable companies in the sector.
How much funding has Thunder Compute raised?
Thunder Compute has raised a total of $13M in funding. The most recent round on record is Series A.
Where is Thunder Compute headquartered?
Thunder Compute is headquartered in San Francisco, United States.
When was Thunder Compute founded?
Thunder Compute was founded in 2022.
What industry does Thunder Compute operate in?
Thunder Compute operates in Cloud Computing, Artificial Intelligence, Infrastructure, AI Infrastructure, Foundation Model, GPU Virtualization.
Hong Kong Sainuo Ciyuan Technology Limited — the engineering team that takes your ideas from the first line of code to launch at scale.
Namma Cloud provides a sovereign cloud infrastructure platform for enterprises and governments in India.
Scaliti provides a platform for managing and optimizing cloud infrastructure costs and performance.
Cladnode provides a decentralized cloud infrastructure for AI and Web3 applications, offering scalable and secure compute resources.
Gaia-X is a European initiative developing a federated and secure data infrastructure to promote digital sovereignty and foster data-driven business models.
Cloudcapilet is a startup focused on providing innovative solutions in the cloud computing space.
Haitinode provides a decentralized cloud infrastructure for AI and Web3, offering scalable and secure compute resources.
Argusprism provides a platform for managing and optimizing cloud infrastructure costs and performance.
An entrant is a company tagged Cloud Computing whose domain was first registered in the window, counted from registry records in the StartupHub directory. 1 of them registered in the last 30 days. Registry detection runs two to three weeks behind registration, so recent weeks are a floor.
“Built a small site comparing GPU cloud rental prices (RunPod, Vast.ai, Hyperstack, Thunder Compute, etc) — on-demand vs spot, side by side, updated from each provider's API instead of hand-typed.”
View on Reddit“If you're searching for the best GPU rental deal, this usually means opening RunPod, Vast.ai, Thunder Compute, io.net etc. filtering for the hardware you're looking for and then eyeballing the options to figure out which is cheapest for wha…”
View on Reddit“Thunder Compute benchmarked H100 pricing across providers. The spread is $1.38/hr on the low end to $12.29/hr at major hyperscalers.”
View on Reddit“For additional context, I have experience with deploying and training models on my own using hyperstack and thunder compute. My goal is to figure out better RAG implementation and improve my skills at fine tuning.”
View on Reddit“Found a small company that gives students 20$ free compute and wanted to share as appreciation for them. I am doing research in eeg space and bci at home and beacuse I do it on my own as fun project while being student for other subject I d…”
View on Reddit“A100 80GB SXM4 prices: - VERDA: $0.45/hr - ThunderCompute: $0.78/hr - RunPod: $1.39/hr - Lambda Labs: $1.79/hr (and usually sold out) - AWS: $2.74/hr”
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.

