Lumbridge
GPU Infrastructure

Furnace

NVIDIA GB300 GPU rental by the hour. 288GB VRAM for your heaviest workloads.

$150/hour • No minimums • Auto-scaling

GB300 B300 Specifications

GPU
NVIDIA GB300 B300
VRAM
288GB HBM3e
Precision
FP8 / FP16 / FP32
Network
400Gb/s InfiniBand
Storage
NVMe SSD - 30TB+
Location
Bay Area

Built for ML workloads

Raw Compute Power

288GB VRAM per GPU. Run 70B parameter models entirely in memory. No sharding headaches.

Auto-Scaling

Start with 1 GPU. Scale to 1000+ automatically. Perfect for batch jobs or sudden traffic spikes.

Persistent Storage

Your datasets, models, and checkpoints stay warm between sessions. Pick up where you left off.

Pre-Configured Stacks

PyTorch, JAX, vLLM, TGI pre-installed. SSH in and start training. No setup scripts.

More VRAM, competitive pricing

Compare on a per-GB basis and Furnace delivers 3.6x more VRAM per dollar than standard H100 rentals.

Provider
Hourly Rate
AWS p5.48xlarge
$98.32/hr
Google Cloud A3
$102.40/hr
Azure NC48ads
$91.20/hr
Furnace (Lumbridge)Best VRAM/$
$150.00/hr

Cloud pricing as of April 2026. Prices subject to change.

Perfect for

Fine-tuning large language models
Running inference at scale
Training custom models from scratch
Batch processing and ETL
MLOps and model serving
Research and experimentation

How Furnace works

1

Request Access

Sign up and request Furnace access. Approved within 24 hours.

2

SSH In

Get SSH credentials. PyTorch, JAX, CUDA all pre-installed.

3

Start Training

Run your workloads. Billed hourly. Scale up or down anytime.

Ready to fire up the Furnace?

Get access to GB300 GPUs for training, inference, and experimentation.