Peak Single-GPU Performance
Per-model optimization that pushes a single card to its ceiling — every kernel, every layer, tuned for the model it serves.
Inference acceleration
Inference, Accelerated.
From one GPU to clusters, from cloud to edge.
The overlap
Overlapped
Serial
Speculation
Memory · Storage
Model
Same work, serial
Schematic, not a measurement — the axis is relative time. Speculation starts work before the next lane needs the result; the overlap is what shortens the run. Wherever work can be predicted, it can be overlapped and accelerated.
Scope
one GPU→clusters
cloud→edge
agent loop→flash cells
prompt→token
The goal
One goal: frontier intelligence belongs to everyone.
Nova democratizes intelligence, and uses it to democratize everything else.
What we do
All of inference optimization.
Storage / Memory for AI
Memory and storage systems designed for AI — coordinated scheduling across GPU memory, host memory, and SSD, serving models far beyond what VRAM alone allows.
Speculative Framework
A general framework for speculation across the inference stack — decoding is just the beginning: wherever work can be predicted, it can be overlapped and accelerated.
Agent Harness
The runtime around the model — we build the harness that drives AI agents, with context, tool calls, and orchestration engineered to keep pace with the models beneath them.
AISSD & Next-Gen Hardware
Building the software stack for AI-native storage — developing for the next generation of AISSD hardware, starting today.
Approach
We optimize every hop.
1Agent Harness
2Model
3Speculation
4Memory · Storage
5Silicon
Schematic — the bar is the same unit of work carried down the stack; each hop compounds on the one above it. No measured figures are shown.
From the agent loop down to the flash cells — if it sits between a prompt and a token, we make it faster.
GPU MEMORYHBM · fastest, smallest
highest bandwidth
GPU memory — the highest bandwidth and the smallest capacity. Hot weights and active KV Cache live here.
HOST MEMORYDRAM · larger, slower
staged over PCIe
Host memory — far larger than HBM, staged over PCIe, holding what spills out of the GPU.
SSDflash · largest, deepest
capacity tier
SSD — the deepest capacity tier. Coordinated scheduling is what lets model size stop being bounded by VRAM.
Schematic — relative capacity across tiers, not measured values. Coordinated scheduling across GPU memory, host memory, and SSD serves models far beyond what VRAM alone allows.
Contact
Get in touch.
Working on inference at the limits? We'd like to hear from you.
contact@nova-tech.ai