Why Toro ML
Unlike traditional cloud services that sell GPU hours, we deliver tailor-made GPU performance in form of 'AI Compute Units' (a combination of TFLOPs, Memory size, and bandwidth). We calculate and provide the exact amount of AI Compute that you need for a successful AI/ML training job or to economically operate the AI/ML inference workload on our high-availability cluster.
Our AI Compute Units align precisely with your project's needs, and you do not need to worry about cluster downtime, efficiency,
low utilization, long-term reservations, or shutting down when not in use. On our platform, we automatically optimize AI/ML workloads at macro (cluster-wide) and micro (on GPU) scale operations without impacting accuracy.
Imagine no longer overpaying for unused capacity, being restricted by suboptimal configurations, never needing to wait for the reservation to become available, and never having to pay for overpriced flagship marketing hype.
With ToroML, you're investing in exactly what you need for optimized cost-effectiveness and peak performance for your AI/ML workloads. We're not just selling hardware: we're selling a perfect computational balance for your AI/ML initiatives unblocking GPU supply shortages.
If you prefer an on-prem deployment of our integrated hardware and software technology, we sell and deliver tailor-made AI clusters in a variety of AI Compute Unit sizes for private on-prem operations.
Estimate your project
1
CHOOSE PROJECT TYPE
Inference is the stage where the trained model produces predictions or
outputs based on new imports
2
SELECT MODEL FOR Inference
You may pick your model from Hugging Face or upload custom model
Enables users to contribute custom-built machine learning models, fostering collaboration and expanding the availability of diverse AI solutions tailored to specific needs.
Hugging Face LLM's
Hugging Face is a leading platform for natural language processing (NLP) that provides access to state-of-the-art models and fosters collaborative model development within a vibrant community.
4
Estimate your TFLOPs for your project
Estimate required TFLOPs for your project
How do we compare
| GPU | Provider | Performance, TFLOPs* | Cost, per hour** | ToroML, $/TFLOPs*** |
|---|---|---|---|---|
| A100 | AWS | 312 | $11.0 | $0.044 |
| A100 | GCP | 312 | $10.92 | $0.044 |
| A100 | Azure | 312 | $13.62 | $0.044 |
* Tensor FP16
** 3yr reserved p4d.24xlarge or a2-highgpu-8g or ND96asr
*** 10K TFLOPs reservation