NVIDIA Grace Blackwell GB10 · Available Now
Private LLM
inference on
real hardware.
Pay-per-hour access to a local GB10 superchip running 70B+ parameter models. No queue. No cloud markup. OpenAI-compatible API — drop in your session token and go.
from openai import OpenAI client = OpenAI( base_url="https://gb10.studio/v1", api_key="st_your_session_token", ) response = client.chat.completions.create( model="GB10", messages=[{ "role": "user", "content": "Explain CUDA memory coalescing", }], stream=True, ) for chunk in response: print(chunk.choices[0].delta.content)▊
128 GB
Unified Memory
1 PFLOP
FP8 Performance
NVLink-C2C
CPU–GPU Interconnect
70B+
Parameter Models
$1.00
Per Hour
01
OpenAI-Compatible API
Change the base URL and API key — nothing else changes. Works with LangChain, LlamaIndex, Cursor, and any OpenAI SDK client out of the box.
02
No Queue. No Sharing.
Reserve a slot, start a session, get the full chip. Not a slice of a shared cluster. Not a rate-limited API wrapper. The whole machine is yours.
03
Pay by the Minute
Pre-load credits, run inference, stop when done. Billed per minute rounded up. No monthly commit. No egress fees. No surprise invoices.