Parameters
Undisclosed
Context Length
128K
Modality
Multimodal
Architecture
Undisclosed
License
Proprietary
Release Date
10 Jan 2026
Knowledge Cutoff
-
API Pricing (per 1M)
Input: $2.00 · Output: $8.00
| Benchmark | Score | Rank |
|---|---|---|
Coding Archived | 0.53 | 15 |
Overall Rank
-
Coding Rank
-
NVIDIA Optimus Alpha delivers optimized AI inference with a focus on efficiency and throughput. Features hardware-aware optimizations for NVIDIA GPUs, enabling high-performance deployment in enterprise environments. Excels at sustained high-throughput workloads with consistent low latency. Ideal for production deployments requiring reliable performance at scale on NVIDIA infrastructure.
Architecture specifications are undisclosed for proprietary models.
Attention
Attention Structure
Multi-Head Attention
Attention Heads
Undisclosed
Key-Value Heads
Undisclosed
Attention Head Dimension
Undisclosed
Position Embedding
Absolute Position Embedding
RoPE Theta
Undisclosed
Sliding Window Attention
Undisclosed
Sliding Window Size
Undisclosed
Sliding Window Ratio
Undisclosed
Linear Attention
Undisclosed
Linear Attention Ratio
Undisclosed
Normalization
Undisclosed
Activation Function
Undisclosed
Dimensions
Hidden Dimension Size
Undisclosed
Number of Layers
Undisclosed
FFN Intermediate Size (Dense)
Undisclosed
Multi-Token Prediction Heads
Undisclosed
Tokenizer
Vocabulary Size
Undisclosed
NVIDIA's Optimus Alpha models combine advanced AI capabilities with hardware-software co-optimization. Built for enterprise deployments requiring high throughput, low latency, and efficient resource utilization on NVIDIA infrastructure.
APX AI
Online