AI infrastructure that's faster, cheaper, and smarter
Two products. One mission. Transform your raw data into application-ready datasets, and run your AI models on the most cost-efficient hardware — automatically.
Real benchmark results from real AWS hardware. 120,000 inferences. Zero simulated data.
5-8x
Faster on Inferentia2
~90%
Lower cost per inference
0
Errors on Inferentia2 (vs 29 on GPU)
Benchmark: DistilBERT Text Classification at Scale
Concurrent Requests
GPU (A10G) P50
Inferentia2 P50
Inf2 Advantage
1
4.6ms
2.2ms
2.1x faster
8
67ms
10.5ms
6.4x faster
32
244ms
44ms
5.5x faster
64
492ms
89ms
5.5x faster
128
992ms
179ms
5.5x faster
256
1,468ms (29 errors)
186ms (0 errors)
7.9x faster
Benchmark uses a simple Flask server. Production-optimized GPU setups would narrow the gap, but the cost advantage remains significant. Full methodology and code available on request.
How It Works
1️⃣
Connect Your AWS
Deploy our agent via CloudFormation. Takes 5 minutes. Your models never leave your account.
2️⃣
Benchmark
Point to your model. We run it on GPU and Inferentia2 side-by-side. See cost, latency, throughput.
3️⃣
Deploy
One click to deploy on Inferentia2 with auto-scaling, monitoring, and an API endpoint.
Supported Workloads
Workload
Models
Status
Text Classification
BERT, DistilBERT, RoBERTa
Available
LLM Inference
Llama 3, Mistral, Qwen
Available
Vision & Multimodal
Llama 4, Qwen-VL, Pixtral
Coming Soon
Training (Trainium)
Any PyTorch model
Coming Soon
Your Models Never Leave Your Cloud
Switch deploys a lightweight agent into your AWS account via CloudFormation. All benchmarking and inference happens inside your VPC. We only receive anonymized performance metrics — never your model weights, data, or predictions.
At OpsMind, our mission is to provide you with an AI data engineer that transforms raw operational data into application-ready, consumable datasets. This creates a solid foundation for decision intelligence and enables analytics, planning, or any AI tool you wish to utilize.
Acquire
Connect to any raw data source — databases, APIs, files, streams
Augment
AI-powered enrichment, cleaning, and transformation
Architect
Output application-ready datasets for analytics and AI