Solutions

Transforming AI/ML Inference

Take Advantage of Smarter Approaches to AI Acceleration

The New Wave of Inference Acceleration

A lot has changed in a few years with AI/ML models and inference. The hardware that’s great at crunching training algorithms can fall behind in latency and utilization for real-time, batch size 1 inference. Deep learning models have gotten more complex, requiring new approaches for real-time applications to keep up.

The good new is, as machine learning has matured, acceleration technology has gotten smarter—and more efficient. These are both on a silicon level, such as using dedicated ASIC devices, and in a design approach—like using 8-bit integers for connections.

BittWare, a brand that’s been trusted for over thirty years to bring the best acceleration technology to market, has assembled an ecosystem FPGA- and ASIC-based AI solutions that are optimized for inference.

Whether it’s scaling up a CPU- or GPU-based system to the latest datacenter-grade tensor processor or getting every last watt of performance using an edge-focused solution, we have what you need to reduce risk and get to market faster.

BittWare + ML/AI Inference

When to Engage with BittWare

You have a trained model and you seek help deploying it
We can help with your deployment proof-of-concept
If PCIe cards won’t work for you, we can discuss something custom
We can talk about your options for getting real-world data into your inference model

Deployment Targets

Where do BittWare AI/ML customers deploy?

“Deployment at the edge” covers everything from a surveillance camera to a telephone pole to a closet inside an office building
We can help deploying special-purpose devices inside data centers (our partners generally have the traditional servers inside data centers well covered)