Nota AI Server

Private AI.
Ready for Production.

Half the Servers.
Full AI Performance.

Production-ready AI for secure, on-prem infrastructure with optimized models, lower GPU requirements, and deployment-ready serving.

Proven Optimization at Scale

See how production-scale models move from infrastructure-heavy baselines to efficient deployment, while preserving the quality.
CASE 02 / KIMI K3 2.8T ON NVIDIA B300 X 4
8
4
0
8
8
Baseline
Nota optimized
-50%0%
88
B300 GPUs
via proprietary global expert pruning
IFEval
Instruction Following
ORIGINAL 93.72
Better
▲ 2.22
0.00
0.00
REAP
NOTA
GPQA-Diamond
Reasoning
ORIGINAL 86.36
Better
▲ 2.52
0.00
0.00
REAP
NOTA
IFBench
Instruction Following
ORIGINAL 70.75
Better
▲ 0.68
0.00
0.00
REAP
NOTA
HumanEval+
Code Generation
ORIGINAL 82.32
Comparable
▽ 0.61
0.00
0.00
REAP
NOTA
REAP - Pruned 50% / Nota - Global Expert Pruned 50%
REAP — Cerebras's state-of-the-art MoE expert-pruning method — is already a tough benchmark to beat. Nota's global expert pruning outperforms it on 3 of 4 benchmarks while maintaining comparable accuracy on the fourth.
Hugging Face: nota-ai/Kimi-K3-Nota-Global-Pruned-50

More than a GPU Server

Optimized models, serving software, and NVIDIA infrastructure — bundled into one enterprise-ready solution.

01

Expand Your AI Business

Go beyond hardware sales into new AI opportunities.

02

Lower Customer Infrastructure Cost

Cut the GPU resources enterprise AI needs.

03

Technical Support from Nota AI

From optimization to PoC to deployment.

Better Economics for Enterprise AI

Model and serving, optimized together — better AI economics.

Cost Efficiency

Lower cost, same performance

# LOWER GPU REQUIREMENTS
# LOWER POWER CONSUMPTION
# LOWER TOTAL COST OF OWNERSHIP

Performance Efficiency

Better performance, same hardware

# HIGHER THROUGHPUT
# LOWER LATENCY
# HIGHER CONCURRENCY

Deployment Simplicity

Enterprise AI, without the complexity.

# OPTIMIZED AI MODELS
# HARDWARE-AWARE DEPLOYMENT
# FASTER TIME-TO-PRODUCTION

Ready-to-Deploy Enterprise AI

Validated combinations of AI models, NVIDIA hardware, and serving software.
AI Models

Qwen Series
Gemma Series
Solar Series
Kimi K3

Hardware

NVIDIA RTX PRO 6000
NVIDIA L40S
NVIDIA B300

Serving

vLLM
SGLang
OpenAI-Compatible API
Monitoring & Logging

Need a Different Model or Hardware?

Extend the standard stack with Nota AI experts for custom models, accelerators, and deployment environments.

01

Custom LLM & VLM

Optimization and serving for your selected open source or proprietary model

02

Additional NVIDIA GPUs

Benchmarking and tuning beyond the standard validated hardware list

03

NPU & AI Accelerators

Deployment support for emerging AI accelerator platforms

04

Edge AI Hardware

Efficient inference for constrained, distributed environments

05

Custom Deployment Environments

Integration into existing private cloud, on-premise, or hybrid operations

Expand Your Enterprise AI
Business with Nota AI Server

Give customers secure, production-ready AI with a deployment stack built to scale.