Deploy AI/ML production models without headaches on the lowest-priced consumer GPUs (from $0.02/hr).
Save up to 90% on compute costs compared to expensive high-end GPUs, APIs, and hyperscalers.
Have questions about enterprise pricing for SaladCloud?
Consumer GPUs like the RTX 4090 offer better cost-performance for many use cases, such as AI inference and batch jobs. SaladCloud offers a fully managed container service, opening up access to thousands of AI-enabled consumer GPUs on the world’s largest distributed network.
Lowest GPU prices. Incredible scalability. Up to 90% less cost than hyperscalers.
“By switching to SaladCloud, Civitai is now serving inference on over 600 consumer GPUs to deliver 10 Million images per day and training more than 15,000 LoRAs per month. SaladCloud not only had the lowest GPU prices in the market but also offered us incredible scalability."
“On SaladCloud's consumer GPUs, we are running 3X more scale at half the cost of A100s on our local provider and almost 85% less cost than the two major hyperscalers we were using before.I’m not losing sleep over scaling issues anymore.”
“SaladCloud makes it more realistic to keep up with deploying these new models. We might never deploy most of them if we had to pay AWS cost for them.”
“Salad makes it more realistic to keep up with deploying these new models. We might never deploy most of them if we had to pay AWS cost for them.”
Scale quickly to thousands of GPU instances worldwide without the need to manage VMs or individual instances, all with a simple usage-based price structure.
Save up to 90% on orchestration services from big box providers, plus discounts on recurring plans.
Distribute data batch jobs, HPC workloads, and rendering queues to thousands of 3D accelerated GPUS.
Bring workloads to the brink on low-latency edge nodes located in nearly every corner of the planet.
Deploy Salad Container Engine workloads alongside your existing hybrid or multi-cloud configurations.
Scale your workloads effortlessly with dynamic resource allocation, meeting fluctuating demands in real time without over-provisioning.
Experience flexible pricing tailored to your usage, ensuring cost-effective scaling without compromising performance.
Scale quickly to thousands of GPU instances worldwide without the need to manage VMs or individual instances, all with a simple usage-based price structure.
Scale quickly to thousands of GPU instances worldwide without the need to manage VMs or individual instances, all with a simple usage-based price structure.
You are overpaying for managed services and APIs. Serve TTS inference on SaladCloud's consumer GPUs and get 10X-2000X more inferences per dollar.
If you serve AI transcription, translation, captioning & insights at scale, you are overpaying by thousands of dollars today. Save up to 90% with the Salad Transcription API, the lowest priced API in the market today.
Simplify and automate the deployment of computer vision models like YOLOv8 on 10,000+ consumer GPUs on the edge. Save 50% or more on your cloud cost compared to managed services/APIs.
Running Large Language Models (LLM) on SaladCloud is a convenient, cost-effective solution to deploy various applications without managing infrastructure or sharing compute.
We can’t print our way out of the chip shortage. Run your workloads on the edge with already available resources. Democratization of cloud computing is the key to a sustainable future, after all.
The high total cost of ownership (TCO) on popular clouds is a well-known secret. With SaladCloud, you containerize your application, choose your resources, and we manage the rest, lowering your TCO and getting to market quickly.
Over 1 million individual nodes and 100s of customers trust SaladCloud with their resources and applications.
Over 1 million individual nodes and 100s of customers trust SaladCloud with their resources and applications.
You don’t have to manage any Virtual Machines (VMs).
No ingress/egress costs on SaladCloud. No surprises.
Save time & resources with minimal DevOps work.
Scale without worrying about access to GPUs.
