---
title: "NVIDIA B300 | Aguasto"
description: "Manufacturer reference for NVIDIA B300: Blackwell Ultra, individual accelerator, with sourced specifications, variant boundaries and deployment considerations."
canonical: "https://www.aguasto.com/gpus/b300"
last-updated: "2026-10-12"
---

# NVIDIA B300 | Aguasto

Canonical HTML: [NVIDIA B300](https://www.aguasto.com/gpus/b300)

> Manufacturer reference for NVIDIA B300: Blackwell Ultra, individual accelerator, with sourced specifications, variant boundaries and deployment considerations.

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NVIDIA / Individual accelerator

## NVIDIA B300

NVIDIA states HGX B300 is shipping. A single generic capacity is withheld because current manufacturer documents describe different configurations.

Original Aguasto conceptual illustration. Not manufacturer geometry, an operating Aguasto asset, or a measured benchmark.

Aguasto Research documents third-party hardware, models and software. References do not represent Aguasto inventory, evaluated deployments or available inference services.

### Manufacturer specification reference

Architecture

Blackwell Ultra[NVIDIA Blackwell Ultra datasheet (external source)](https://dam-cdn.nvd.orangelogic.com/AssetLink/1k0p832eq8r5ca0u5383ie5o4tp3bst1.pdf)   · [Introduction to NVIDIA DGX B300 System (external source)](https://docs.nvidia.com/dgx/dgxb300-user-guide/introduction-to-dgxb300.html)   · [NVIDIA HGX Platform (external source)](https://www.nvidia.com/en-us/data-center/hgx/)   · [CUDA GPU Compute Capability (external source)](https://developer.nvidia.com/cuda/gpus)

Category

Individual accelerator[NVIDIA Blackwell Ultra datasheet (external source)](https://dam-cdn.nvd.orangelogic.com/AssetLink/1k0p832eq8r5ca0u5383ie5o4tp3bst1.pdf)   · [Introduction to NVIDIA DGX B300 System (external source)](https://docs.nvidia.com/dgx/dgxb300-user-guide/introduction-to-dgxb300.html)   · [NVIDIA HGX Platform (external source)](https://www.nvidia.com/en-us/data-center/hgx/)   · [CUDA GPU Compute Capability (external source)](https://developer.nvidia.com/cuda/gpus)

Accelerator memory

Not verified for this recordPer accelerator; generic value not normalized across HGX and DGX documentation.[NVIDIA Blackwell Ultra datasheet (external source)](https://dam-cdn.nvd.orangelogic.com/AssetLink/1k0p832eq8r5ca0u5383ie5o4tp3bst1.pdf)   · [Introduction to NVIDIA DGX B300 System (external source)](https://docs.nvidia.com/dgx/dgxb300-user-guide/introduction-to-dgxb300.html)   · [NVIDIA HGX Platform (external source)](https://www.nvidia.com/en-us/data-center/hgx/)   · [CUDA GPU Compute Capability (external source)](https://developer.nvidia.com/cuda/gpus)

Memory type

HBM3e[NVIDIA Blackwell Ultra datasheet (external source)](https://dam-cdn.nvd.orangelogic.com/AssetLink/1k0p832eq8r5ca0u5383ie5o4tp3bst1.pdf)   · [Introduction to NVIDIA DGX B300 System (external source)](https://docs.nvidia.com/dgx/dgxb300-user-guide/introduction-to-dgxb300.html)   · [NVIDIA HGX Platform (external source)](https://www.nvidia.com/en-us/data-center/hgx/)   · [CUDA GPU Compute Capability (external source)](https://developer.nvidia.com/cuda/gpus)

Memory bandwidth

Not verified for this recordConfiguration-dependent GPU memory bandwidth; not the eight-GPU aggregate or NVLink bandwidth.[NVIDIA Blackwell Ultra datasheet (external source)](https://dam-cdn.nvd.orangelogic.com/AssetLink/1k0p832eq8r5ca0u5383ie5o4tp3bst1.pdf)   · [Introduction to NVIDIA DGX B300 System (external source)](https://docs.nvidia.com/dgx/dgxb300-user-guide/introduction-to-dgxb300.html)   · [NVIDIA HGX Platform (external source)](https://www.nvidia.com/en-us/data-center/hgx/)   · [CUDA GPU Compute Capability (external source)](https://developer.nvidia.com/cuda/gpus)

Power

Not verified for this recordA universal B300 module TDP is not established by the reviewed sources. Do not use a complete DGX server power rating as GPU TDP.[NVIDIA Blackwell Ultra datasheet (external source)](https://dam-cdn.nvd.orangelogic.com/AssetLink/1k0p832eq8r5ca0u5383ie5o4tp3bst1.pdf)   · [Introduction to NVIDIA DGX B300 System (external source)](https://docs.nvidia.com/dgx/dgxb300-user-guide/introduction-to-dgxb300.html)   · [NVIDIA HGX Platform (external source)](https://www.nvidia.com/en-us/data-center/hgx/)   · [CUDA GPU Compute Capability (external source)](https://developer.nvidia.com/cuda/gpus)

Precision formats

FP4, FP8, FP6, INT8, FP16, BF16, TF32, FP32, FP64[NVIDIA Blackwell Ultra datasheet (external source)](https://dam-cdn.nvd.orangelogic.com/AssetLink/1k0p832eq8r5ca0u5383ie5o4tp3bst1.pdf)

Cooling / integration

NVIDIA documents system-specific cooling. Verify the exact server and module configuration before comparison.[NVIDIA Blackwell Ultra datasheet (external source)](https://dam-cdn.nvd.orangelogic.com/AssetLink/1k0p832eq8r5ca0u5383ie5o4tp3bst1.pdf)   · [Introduction to NVIDIA DGX B300 System (external source)](https://docs.nvidia.com/dgx/dgxb300-user-guide/introduction-to-dgxb300.html)   · [NVIDIA HGX Platform (external source)](https://www.nvidia.com/en-us/data-center/hgx/)   · [CUDA GPU Compute Capability (external source)](https://developer.nvidia.com/cuda/gpus)

### Configuration boundaries

- The Blackwell Ultra datasheet's HGX column lists 270 GB per GPU, 7.7 TB/s and up to 1100 W; current DGX B300 documentation lists 288 GB per GPU. These are retained as variant/source differences.

- Null numeric fields mean no universal generic value was verified, not zero.

- A system-specific B300 entry can be added once the intended configuration is selected.

### Deployment considerations

- Resolve the exact OEM/module configuration and usable memory before estimating model fit.

- Keep each variant's memory, bandwidth and TDP together; mixing fields from different systems produces an invalid comparison.

#### Software ecosystem

CUDA. Confirm the exact model, runtime release, server integration and vendor support matrix before evaluating a deployment.

### Continue the research

[vLLM](https://www.aguasto.com/inference-stack/vllm) [SGLang](https://www.aguasto.com/inference-stack/sglang) [TensorRT-LLM](https://www.aguasto.com/inference-stack/tensorrt-llm) [NVIDIA Dynamo](https://www.aguasto.com/inference-stack/dynamo) [Model weights versus runtime memory](https://www.aguasto.com/learn/model-weights-and-runtime-memory) [Compare compatible hardware categories](https://www.aguasto.com/gpus/compare) [Why modular infrastructure?](https://www.aguasto.com/why-modular)

### Sources & verification

Reference revision 1 · Reviewed October 12, 2026. Manufacturer claims and documentation are attributed; Aguasto has not run the cited products in production.

- [NVIDIA Blackwell Ultra datasheet ↗](https://dam-cdn.nvd.orangelogic.com/AssetLink/1k0p832eq8r5ca0u5383ie5o4tp3bst1.pdf)

HGX individual Blackwell Ultra GPU: 270 GB HBM3e, 7.7 TB/s, configurable up to 1100 W; Supported precision formats. Publication: date not stated in the reviewed source. Verified: 2026-10-12.

- [Introduction to NVIDIA DGX B300 System ↗](https://docs.nvidia.com/dgx/dgxb300-user-guide/introduction-to-dgxb300.html)

DGX configuration lists eight B300 GPUs with 288 GB each; System includes B300 Blackwell Ultra GPUs; this is a server specification. Publication: date not stated in the reviewed source. Verified: 2026-10-12.

- [NVIDIA HGX Platform ↗](https://www.nvidia.com/en-us/data-center/hgx/)

HGX B300 shipping now. Publication: date not stated in the reviewed source. Verified: 2026-10-12.

- [CUDA GPU Compute Capability ↗](https://developer.nvidia.com/cuda/gpus)

CUDA product identification for H100, H200, B200, B300, GB200 and GB300. Publication: date not stated in the reviewed source. Verified: 2026-10-12.

### Reference journey

[Compare hardware ↗](https://www.aguasto.com/gpus/compare) [Model Index ↗](https://www.aguasto.com/models) [Serving software ↗](https://www.aguasto.com/inference-stack) [OEM collaboration ↗](https://www.aguasto.com/partners) [Sources & verification ↓](https://www.aguasto.com/gpus/b300#sources)

Research reference · No available Aguasto service

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