Managed NemoClaw
on Dedicated Hardware

Your own AI assistant. Your own GPU. Unlimited.

Your own AI agent platform with a dedicated LLM inference backend — all on NVIDIA GB10 Grace Blackwell. No API keys to bring, no infra to manage, no per-token billing.

EARLY ACCESS — LIMITED SLOTS

Request Access
NemoClaw WebUI + OpenAI-compatible API — powered by vLLM on NVIDIA GB10
128 GB
Unified Memory
1 PFLOP
FP4 Performance
200B+
Parameter Models
24/7
Dedicated Access

Why SparkServe

The only managed NemoClaw with a dedicated inference backend

🤖

Managed NemoClaw / OpenClaw

Always-on AI agents via WebUI + OpenAI-compatible API — no API keys to bring. We set up NemoClaw, vLLM, and OpenShell so you don't have to.

⚡

Dedicated Hardware

No noisy neighbors. You get the full GB10 Superchip — not a slice of a shared cluster. Consistent latency, every request.

🔗

OpenAI-Compatible API

Change one line of code. Works with LangChain, LlamaIndex, Cursor, Continue, and any OpenAI SDK client.

🔎

Any Model, Any Size

Run Qwen, Llama, Mistral, DeepSeek, or any open model up to 200B parameters. Switch models on request.

💰

Flat Monthly Pricing

No per-token charges. No egress fees. No surprises. One price, unlimited inference within your plan.

🔒

Private & Secure

Your data never leaves your dedicated instance. No logging, no training on your prompts, full privacy.

How It Works

From signup to first inference in under 24 hours

1

Request Access

Tell us your use case and preferred model. We'll set up your dedicated instance.

2

Get Your API Key

Receive your endpoint URL and API key. Point your existing code at SparkServe.

3

Start Inferencing

Run unlimited inference on your dedicated GB10 hardware. Scale up anytime.

# Just change the base URL — everything else stays the same
from openai import OpenAI

client = OpenAI(
    base_url="https://api.sparkserve.io/v1",
    api_key="your-api-key"
)

response = client.chat.completions.create(
    model="Qwen/Qwen3.5-27B",
    messages=[{"role": "user", "content": "Hello!"}]
)

Supported Models

Popular models ready to deploy — or bring your own

Qwen 3.5

27B / 35B-A3B MoE

Llama 4

Scout 17B-A16E / Maverick

DeepSeek-R1

Distill 70B · Reasoning

Mistral Small

24B · Multilingual

Gemma 3

27B · Google

Your Model

Custom · GGUF / HF

What You Get

Other providers give you OpenClaw hosting and tell you to bring your own API key. We include the backend.

🔗

OpenAI-Compatible API

vLLM runs on your dedicated GB10. NemoClaw's gateway exposes an OpenAI-compatible endpoint — swap your base_url and go. No external API keys needed.

🤖

NemoClaw WebUI

Manage always-on AI agents from a browser. OpenShell sandboxing keeps agents secure. Build, monitor, and evolve your agents — all through one dashboard.

# Other providers: bring your own API key
export OPENAI_API_KEY=sk-...   # $$$

# SparkServe: everything included
export OPENAI_API_KEY=spark-...   # flat $299/mo
export OPENAI_BASE_URL=https://api.sparkserve.io/v1

Performance

Real-world inference benchmarks on NVIDIA GB10 Grace Blackwell

Model Parameters Throughput Quantization
Qwen 3.5 27B 27B ~56 tok/s NVFP4
Llama 4 Scout 17B-A16E ~50 tok/s NVFP4
DeepSeek-R1 Distill 70B 70B ~30 tok/s NVFP4
Nemotron Nano 30B 30B-A3B MoE ~56 tok/s NVFP4

Measured on a single GB10 node with vLLM + NVFP4 quantization. Actual throughput varies by prompt length and concurrency.
Reference: NVIDIA DGX Spark Performance Blog

Simple Pricing

LLM inference + AI agent platform, all-in-one. No per-token fees. Cancel anytime.

Starter
$99/mo
For individual developers & side projects
  • Shared GB10 instance
  • Models up to 30B parameters
  • OpenAI-compatible API
  • 100K requests/month
  • Rate limit: 10 req/min
  • Community support
Get Started
Pro
$299/mo
For teams and production workloads
  • Dedicated GB10 instance
  • Models up to 100B parameters
  • vLLM or TensorRT-LLM
  • Unlimited requests
  • Custom model deployment
  • NemoClaw / OpenClaw (WebUI + API)
  • Priority support
Get Started
On-Prem Setup
Custom
We build NemoClaw on your hardware
  • Your DGX Spark or GPU server
  • Hardware procurement support
  • NemoClaw + vLLM setup
  • OpenShell sandboxing config
  • Model deployment & tuning
  • Fine-tuning & distillation
  • Ongoing support available
Contact Us

In Production

How we use SparkServe ourselves

N
Nakamu-Tech Inc.
AI Scrum Master Agent

We run an always-on Scrum Master agent powered by NemoClaw on our own SparkServe Pro instance. It manages sprint planning, tracks Jira tickets, posts daily standups to Slack, and flags blockers automatically. The agent runs 24/7 on a dedicated GB10 with Qwen 3.5 27B — no per-token costs, no cold starts, consistent sub-second latency.

FAQ

Common questions about SparkServe

Why is this so affordable?
We own all hardware outright — no cloud provider markup, no data center lease. The NVIDIA GB10's ultra-efficient 200W power draw keeps operating costs under $20/month per unit. No VC-funded burn rate, no enterprise sales team. We pass the savings directly to you.
How does this compare to other GPU clouds?
A dedicated A100 80GB on RunPod costs ~$2/hr ($1,440/month) — and you still set up vLLM, manage Docker, and handle ops. Together AI and Groq charge per-token with no cost ceiling. SparkServe Pro gives you 128GB unified memory, a fully managed API, and NemoClaw — all for a flat $299/mo. No setup, no Docker, no per-token surprises.
What's the catch? Is this a shared instance?
No catch. The Starter plan shares hardware across a small number of users with rate limits. The Pro plan gives you a fully dedicated GB10 Superchip — no other users, no noisy neighbors, consistent performance 24/7.
How does GB10 performance compare to A100 / H100?
The GB10 delivers up to 1 PFLOP at FP4 with 128GB unified memory connected via NVLink-C2C. While raw throughput is lower than an H100, the unified memory architecture means larger models fit without quantization trade-offs. For most inference workloads under 200B parameters, it's a sweet spot of cost and capability.
Can I switch models?
Yes. Contact us and we'll swap the model on your instance — typically within a few hours. During Early Access, model changes are included at no extra cost.
What about uptime and reliability?
During Early Access, we target 99% uptime with transparent maintenance windows. Enterprise plans include a 99.9% SLA with guaranteed response times. All maintenance is scheduled and communicated in advance.
What's the difference between Starter and Pro?
Starter shares a GB10 across a small number of users with rate limits (10 req/min, 100K/month, models up to 30B). Pro gives you a fully dedicated GB10 — unlimited requests, models up to 100B, custom model deployment, and NemoClaw/OpenClaw pre-installed for running always-on AI agents.
What is NemoClaw / OpenClaw?
OpenClaw is an open-source framework for running always-on AI agents locally. NemoClaw is NVIDIA's enterprise version with built-in security sandboxing and guardrails. Pro plans include NemoClaw pre-installed with a WebUI for agent management and an OpenAI-compatible API running on the same stack — inference and agents on one dedicated machine.

Get Started

Tell us about your use case and we'll get you set up