System Upgrade Scheduled
Cluster node #03 will be gracefully restarted on UTC 08:00 to apply the new Tensor enhancements. No downtime expected.
API Quota Status: Approaching 85% of monthly token limit. Consider upgrading your plan.
Core Capabilities
Vision
Visual Intelligence
Extract contextual data from images, detect anomalies in real-time streams, and classify complex objects.
NLP
Generative Language
Deploy conversational agents, summarize terabytes of text, and comprehend complex semantical context.
Analytics
Predictive Vectors
Forecast trends, cluster multidimensional data points, and identify statistical outliers effortlessly.
Model Registry
| MODEL ID | TYPE | CONTEXT W. | STATUS | ACTION |
|---|---|---|---|---|
| nexus-lang-v4 | LLM | 128K | Active | |
| nexus-vision-pro | Vision | - | Active | |
| nexus-audio-gen | Audio | 16K | Training |
Showing 3 of 42 models
Deployment Config
Cluster Telemetry
Current utilization of your active AI nodes. Reaching 100% capacity triggers the auto-scaling group.
GPU Memory (VRAM)
82%
Compute Tensor Cores
64%
Network I/O Latency
28% (Optimal)
Architecture FAQ
All data is encrypted at rest using AES-256 and in transit via TLS 1.3. We do not use customer API inputs to train our foundation models without explicit enterprise opt-in.
Yes, via LoRA or full parameter updates through our Tuning API. Upload your JSONL datasets and define your hyperparameters.
Usage is billed per 1,000 tokens generated or processed. The Developer tier allows 1M tokens/month. Above that, auto-billing to your registered card triggers asynchronously.
API Documentation
import nexus_ai
client = nexus_ai.Client(api_key="your_key")
response = client.completions.create(
model="nexus-lang-v4",
prompt="Explain quantum entanglement.",
max_tokens=150
)
print(response.choices[0].text)
import { NexusAI } from 'nexus-sdk';
const nexus = new NexusAI(process.env.NEXUS_KEY);
const result = await nexus.generate({
model: 'nexus-lang-v4',
prompt: 'Write a regex for email.',
});
console.log(result.text);
client := nexus.NewClient("your_key")
resp, err := client.Complete(ctx.Infer(
"nexus-lang-v4",
nexus.Prompt("Hello world"),
)
if err != nil { log.Fatal(err) }
fmt.Println(resp.Output)
Active Endpoints
-
Healthy
us-east-1-cluster
Vision API • 4 Nodes -
Healthy
eu-west-inference
Language V4 • 12 Nodes -
Suspended
sa-east-testing
Audio Gen • 1 Node
-
New Release
Generative Canvas
Text-to-image pipeline just got 40% faster. Try it now.
Hardware
H100 Support Added
Scale massive training workloads using our latest cluster additions.