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NVIDIA HGX B300

NVIDIA HGX B300

NVIDIA HGX B300

The most capable AI accelerator available today. Deployed on Bentaus-owned energy infrastructure. Reserve capacity now.

The most capable AI accelerator available today. Deployed on Bentaus-owned energy infrastructure. Reserve capacity now.

The most capable AI accelerator available today. Deployed on Bentaus-owned energy infrastructure. Reserve capacity now.

288GB

HBM3E PER GPU

2X

Performance

40%

More efficient

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Reserve Capacity

Reserve Capacity

8x GPU NODE

Bandwith

8 TB/s

HBM3E

288 GB

Bentaus is an energy-first NeoCloud that owns and operates its own full stack. Our B300 deployments are engineered for best-in-class performance, efficiency, and reliability.

Bentaus is an energy-first NeoCloud that owns and operates its own full stack. Our B300 deployments are engineered for best-in-class performance, efficiency, and reliability.

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WHY BENTAUS

Why Enterprise Teams Choose Us Over Today's Hyperscalers

Deploy dedicated B300 capacity without the delays, higher cost, or limits of traditional hyperscale solutions.

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WHY BENTAUS

Why Enterprise Teams Choose Us Over Today's Hyperscalers

Deploy dedicated B300 capacity without the delays, higher cost, or limits of traditional hyperscale solutions.

Order Now

Order Now

WHY BENTAUS

Why Enterprise Teams Choose Us Over Today's Hyperscalers

Deploy dedicated B300 capacity without the delays, higher cost, or limits of traditional hyperscale solutions.

Order Now

Order Now

Lower Cost Than Hyperscalers

Enterprise B300 capacity without the hyperscaler premium. Bentaus gives clients transparent pricing, and better cost control as GPU demand scales.

Lower Cost Than Hyperscalers

Enterprise B300 capacity without the hyperscaler premium. Bentaus gives clients transparent pricing, and better cost control as GPU demand scales.

Best in Class Performance

Powered by NVIDIA Blackwell Ultra, B300 delivers more AI compute, and faster throughout for enterprise training, inference, and agentic workloads.

Best in Class Performance

Powered by NVIDIA Blackwell Ultra, B300 delivers more AI compute, and faster throughout for enterprise training, inference, and agentic workloads.

Best in Class Performance

Powered by NVIDIA Blackwell Ultra, B300 delivers more AI compute, and faster throughout for enterprise training, inference, and agentic workloads.

Faster Deployments

From instant deployments to full clusters in weeks, not months. Our Bentaus designs are ready for today's datacenters and future proofed for tomorrow.

Faster Deployments

From instant deployments to full clusters in weeks, not months. Our Bentaus designs are ready for today's datacenters and future proofed for tomorrow.

Faster Deployments

From instant deployments to full clusters in weeks, not months. Our Bentaus designs are ready for today's datacenters and future proofed for tomorrow.

Super Efficient

Bentaus optimizes B300 deployments for stronger watt-per-token performance, helping clients generate more AI output with less wasted power.

Super Efficient

Bentaus optimizes B300 deployments for stronger watt-per-token performance, helping clients generate more AI output with less wasted power.

Choose Your Pricing Model

On-Demand

Flexible Access

$6.50 - $8.50

/ GPU hour

NVIDIA B300 Blackwell Ultra

Ideal for burst inference workloads

Elastic capacity on demand

Managed infrastructure stack

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Reserve Capacity

Reserve Capacity

Reserved

Reserved Term · Priority Access · Locked Rate

$4.25 - $6.50

/GPU hour

Priority access, guaranteed capacity

Lower hourly rate vs. shared cloud

Custom term lengths available

Dedicated solutions architect

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Reserve Capacity

Reserve Capacity

AI Factory

Dedicated Cluster


Custom Pricing

Design your own AI factory

Full cluster isolation

Monitoring, support, and SLAs

Additional feature

Contact Sales

Contact Sales

Reserve Capacity

Reserve Capacity

NVIDIA B300 Specifications

01

GPU Architecture

NVIDIA Blackwell Ultra

02

VRAM

288 GB HBM3e

03

Memory Bandwidth

Up to 8.0 TB/s

04

Tensor Cores

5th Generation (Ultra)

05

CUDA Cores

20,480

06

FP64 Performance

60 TFLOPS

07

FP32 Performance

120 TFLOPS

08

TF32 Performance

3,000 TFLOPS

09

FP8 Tensor Performance

5 PFLOPS dense

10

FP4 Tensor Performance

15 PFLOPS dense

11

Network

NVLink 1.8 TB/s

12

Max GPU Power

Up to 1,400W

COMPARISON

HGX B300 vs H200 vs H100

Side-by-side specs per node. See why the B300 is the only choice for frontier AI workloads.

Spec (per node)

HGX H300

Top choice

HGX H200

HGX H100

Architecture

Blackwell Ultra

Hopper

Hopper

Architecture

Blackwell Ultra

Hopper

Hopper

GPUs / node

8× B300

8× H200

8× H100

GPUs / node

8× B300

8× H200

8× H100

Memory / GPU

288GB HBM3e

141GB HBM3e

80GB HBM3

Memory / GPU

288GB HBM3e

141GB HBM3e

80GB HBM3

Total HBM / node

2.3TB HBM3e

1.1TB HBM3e

640GB HBM3

Total HBM / node

2.3TB HBM3e

1.1TB HBM3e

640GB HBM3

FP4 Compute

Yes

No

No

FP4 Compute

Yes

No

No

FP8 Throughput

~80 PFLOPS

~32 PFLOPS

16 PFLOPS

FP8 Throughput

~80 PFLOPS

~32 PFLOPS

16 PFLOPS

NVLink Fabric

NVLink Ultra

NVLink 4

NVLink 4

NVLink Fabric

NVLink Ultra

NVLink 4

NVLink 4

Networking

400G InfiniBand

400G InfiniBand

400G InfiniBand

Networking

400G InfiniBand

400G InfiniBand

400G InfiniBand

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Reserve Capacity

Reserve Capacity

WORKLOADS

What the B300 Is Built For

From frontier model training to real-time inference and always-on agentic AI applications.

  • from accelerate import Accelerator
    from transformers import AutoModelForCausalLM
    import torch

    accelerator = Accelerator {mixed_precision = "fp8"}
     model = AutoModelForCausalLM.from_pretrained
     "meta-llama/Llama-3-405b",
     torch_dtype=torch.float8_e4m3fn)
     trainer.train(dataset="1T_tokens")

  • from accelerate import Accelerator
    from transformers import AutoModelForCausalLM
    import torch

    accelerator = Accelerator {mixed_precision = "fp8"}
     model = AutoModelForCausalLM.from_pretrained
     "meta-llama/Llama-3-405b",
     torch_dtype=torch.float8_e4m3fn)
     trainer.train(dataset="1T_tokens")

TRAINING

LLM Training at Scale

LLM Training at Scale

Train massive foundation models without compromise. 288 GB of HBM3e enables 405B-parameter models on a single node, eliminating sharding and delivering up to 4.1× faster training than H100 SXM5

Train massive foundation models without compromise. 288 GB of HBM3e enables 405B-parameter models on a single node, eliminating sharding and delivering up to 4.1× faster training than H100 SXM5

Frontier Model Training

Large-Scale Fine-Tuning

RLHF

INFERENCE

Low-Latency FP4 Inference

Low-Latency FP4 Inference

Accelerate AI inference with 15 PFLOPS of dense FP4 performance, 1.5× faster than HGX™ B200. Built for high-throughput, low-latency inference across large language models, reasoning models, and agentic AI.

Accelerate AI inference with 15 PFLOPS of dense FP4 performance, 1.5× faster than HGX™ B200. Built for high-throughput, low-latency inference across large language models, reasoning models, and agentic AI.

Production APIs

70B–400B models

Real-time serving

Inference Ready

8 x B300 - FP4 - 18ms avg - zero queue

|

Inference Ready

8 x B300 - FP4 - 18ms avg - zero queue

|

Agent Runtime

Autonomously coordinating reasoning, memory, and tool execution in real time.

Context Analysis

Reasoning Engine

Tool Execution

All Tasks

  • Distributed training run

    Running 8 x B300 - Started 2h ao

  • Inference serving - production

    94% active - 2.4M tok/s - 0 queue

  • Model checkpoint sync

    completed - 4 min ago

  • Agent Pipeline #4

    Queued - starts in 3 min

All Tasks

  • Distributed training run

    Running 8 x B300 - Started 2h ao

  • Inference serving - production

    94% active - 2.4M tok/s - 0 queue

  • Model checkpoint sync

    completed - 4 min ago

  • Agent Pipeline #4

    Queued - starts in 3 min

AGENTIC AI

Reasoning & Agentic Pipelines

Reasoning & Agentic Pipelines

Power advanced reasoning models and autonomous AI agents with the memory and bandwidth needed for complex, multi-step workflows. 288 GB of HBM3e preserves larger working context, while 1.8 TB/s NVLink enables fast, low-latency communication across multi-GPU deployments.

Power advanced reasoning models and autonomous AI agents with the memory and bandwidth needed for complex, multi-step workflows. 288 GB of HBM3e preserves larger working context, while 1.8 TB/s NVLink enables fast, low-latency communication across multi-GPU deployments.

Autonomous AI Agents

Multi-Step Reasoning

Use tools at scale

AI FACTORIES

Enterprise AI Factories

Enterprise AI Factories

Every AI factory is different. Bentaus designs and delivers AI infrastructure tailored to your workloads—from sovereign AI to advanced simulation—with optimized networking, integrated software, and expert support from design through deployment.

Every AI factory is different. Bentaus designs and delivers AI infrastructure tailored to your workloads—from sovereign AI to advanced simulation—with optimized networking, integrated software, and expert support from design through deployment.

AI Factory Design

Sovereign AI

Healthcare AI

GPU Compute

Memory Fabric

AI Workloads

Deploy Your B300 Solution Today!

B300 deployments are among the most versatile AI infrastructure solutions moving fast in the market. Our solution architects are ready to help you design, configure, and deploy now.

Order Now

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Deploy Your B300 Solution Today!

B300 deployments are among the most versatile AI infrastructure solutions moving fast in the market. Our solution architects are ready to help you design, configure, and deploy now.

Order Now

Order Now

Available Now

NVIDIA B300s faster than you expected.

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