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⚡ NVIDIA DGX B300 vs DGX B200

NVIDIA DGX B300 vs NVIDIA DGX B200 compared across 23 matched specifications — scores, the full spec table and a verdict.

NVIDIA DGX B300 Blackwell Ultra 10U AI server for enterprise AI factories
NVIDIA DGX B300
NVIDIA DGX
9.0
Overall Score
Best for: Large-scale AI model training requiring maximum GPU memory capacity and 800 Gb/s networking for distributed workloads.
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NVIDIA DGX B200 8x Blackwell GPU AI supercomputer for enterprise generative AI
NVIDIA DGX B200
NVIDIA DGX
8.5
Overall Score
Best for: High-performance AI inference and training workloads where 1.4 TB GPU memory and 400 Gb/s networking provide sufficient capability at optimal value.
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NVIDIA DGX B300 vs DGX B200: performance overview

Scores based on quantifiable specification values (1-10 scale)

ComputeMemoryStorageNetworkingExpandabilityManagement
NVIDIA DGX B300
NVIDIA DGX B200
Compute
NVIDIA DGX B300
9.5
NVIDIA DGX B200
9.0
Memory
NVIDIA DGX B300
9.5
NVIDIA DGX B200
8.5
Storage
NVIDIA DGX B300
8.0
NVIDIA DGX B200
8.0
Networking
NVIDIA DGX B300
9.5
NVIDIA DGX B200
8.5
Expandability
NVIDIA DGX B300
8.0
NVIDIA DGX B200
8.0
Management
NVIDIA DGX B300
8.5
NVIDIA DGX B200
8.5

Detailed Specifications

Specification
NVIDIA DGX B300
NVIDIA DGX
NVIDIA DGX B200
NVIDIA DGX
Key Metrics
FP4 Inference Performance144 PFLOPS sparse / 108 PFLOPS dense144 PFLOPS sparse / 72 PFLOPS dense
FP8 Training Performance72 PFLOPS72 PFLOPS
Total GPU Memory2,304 GB HBM3e (8 × 288 GB)1,440 GB HBM3e
Network Port Speed800 Gb/s per port400 Gb/s per port
Form Factor10 RU rack-mount10 RU rack-mount
Compute
Processor2x Intel Xeon 6776P, 128 cores total (64 per CPU), 2.3 GHz base / 3.9 GHz max turbo2x Intel Xeon Platinum 8570, 112 cores, 2.1 / 4.0 GHz
GPU Configuration8x NVIDIA Blackwell Ultra GPUs8x NVIDIA Blackwell GPUs
GPU Interconnect2x NVLink Switch System — 14.4 TB/s aggregate2x NVLink Switch System — 14.4 TB/s aggregate
Memory
System MemoryUp to 4 TB DDR52 TB (configurable to 4 TB)
GPU Memory2,304 GB total HBM3e (8 × 288 GB)1.4 TB HBM3e — 64 TB/s bandwidth
Storage
OS Storage2x 1.9 TB NVMe M.22x 1.9 TB NVMe M.2
Internal Storage8x 3.84 TB NVMe E1.S8x 3.84 TB NVMe U.2
Networking
Network Interface Cards8x ConnectX-8 VPI OSFP (800 Gb/s) + 2x BlueField-3 DPU8x single-port ConnectX-7 VPI via 4x OSFP ports (up to 400 Gb/s) + 2x dual-port BlueField-3 DPU
GPU / Accelerators
GPU Memory Bandwidth62 TB/s64 TB/s
I/O & Ports
Network Ports8x OSFP (800 Gb/s)4x OSFP (serving 8x ConnectX-7, up to 400 Gb/s each)
Management
Management SoftwareNVIDIA Mission ControlNVIDIA Mission Control
Power
Maximum Power Consumption14.5 kW (busbar) / 15.1 kW (PSU version)~14.3 kW
Physical / Environmental
Dimensions442mm H × 482.6mm W × 904.2mm D444mm H × 482.2mm W × 897.1mm D
CoolingAir-cooled chassisAir-cooled chassis
System Weight168 kg (PSU version) / 123 kg (busbar version)142.4 kg max
Software & OS Compatibility
Operating System SupportNVIDIA DGX OS, Ubuntu, RHEL, Rocky LinuxNVIDIA DGX OS, Ubuntu, Red Hat Enterprise Linux, Rocky
Included SoftwareNVIDIA AI Enterprise, NVIDIA Mission Control, NVIDIA Run:aiNVIDIA AI Enterprise, NVIDIA Mission Control, NVIDIA Run:ai
Warranty & Support
Support Period3-year business-standard hardware and software support3-year enterprise hardware and software support
Key Metrics
FP4 Inference Performance
NVIDIA DGX B300144 PFLOPS sparse / 108 PFLOPS dense
NVIDIA DGX B200144 PFLOPS sparse / 72 PFLOPS dense
FP8 Training Performance
NVIDIA DGX B30072 PFLOPS
NVIDIA DGX B20072 PFLOPS
Total GPU Memory
NVIDIA DGX B3002,304 GB HBM3e (8 × 288 GB)
NVIDIA DGX B2001,440 GB HBM3e
Network Port Speed
NVIDIA DGX B300800 Gb/s per port
NVIDIA DGX B200400 Gb/s per port
Form Factor
NVIDIA DGX B30010 RU rack-mount
NVIDIA DGX B20010 RU rack-mount
Compute
Processor
NVIDIA DGX B3002x Intel Xeon 6776P, 128 cores total (64 per CPU), 2.3 GHz base / 3.9 GHz max turbo
NVIDIA DGX B2002x Intel Xeon Platinum 8570, 112 cores, 2.1 / 4.0 GHz
GPU Configuration
NVIDIA DGX B3008x NVIDIA Blackwell Ultra GPUs
NVIDIA DGX B2008x NVIDIA Blackwell GPUs
GPU Interconnect
NVIDIA DGX B3002x NVLink Switch System — 14.4 TB/s aggregate
NVIDIA DGX B2002x NVLink Switch System — 14.4 TB/s aggregate
Memory
System Memory
NVIDIA DGX B300Up to 4 TB DDR5
NVIDIA DGX B2002 TB (configurable to 4 TB)
GPU Memory
NVIDIA DGX B3002,304 GB total HBM3e (8 × 288 GB)
NVIDIA DGX B2001.4 TB HBM3e — 64 TB/s bandwidth
Storage
OS Storage
NVIDIA DGX B3002x 1.9 TB NVMe M.2
NVIDIA DGX B2002x 1.9 TB NVMe M.2
Internal Storage
NVIDIA DGX B3008x 3.84 TB NVMe E1.S
NVIDIA DGX B2008x 3.84 TB NVMe U.2
Networking
Network Interface Cards
NVIDIA DGX B3008x ConnectX-8 VPI OSFP (800 Gb/s) + 2x BlueField-3 DPU
NVIDIA DGX B2008x single-port ConnectX-7 VPI via 4x OSFP ports (up to 400 Gb/s) + 2x dual-port BlueField-3 DPU
GPU / Accelerators
GPU Memory Bandwidth
NVIDIA DGX B30062 TB/s
NVIDIA DGX B20064 TB/s
I/O & Ports
Network Ports
NVIDIA DGX B3008x OSFP (800 Gb/s)
NVIDIA DGX B2004x OSFP (serving 8x ConnectX-7, up to 400 Gb/s each)
Management
Management Software
NVIDIA DGX B300NVIDIA Mission Control
NVIDIA DGX B200NVIDIA Mission Control
Power
Maximum Power Consumption
NVIDIA DGX B30014.5 kW (busbar) / 15.1 kW (PSU version)
NVIDIA DGX B200~14.3 kW
Physical / Environmental
Dimensions
NVIDIA DGX B300442mm H × 482.6mm W × 904.2mm D
NVIDIA DGX B200444mm H × 482.2mm W × 897.1mm D
Cooling
NVIDIA DGX B300Air-cooled chassis
NVIDIA DGX B200Air-cooled chassis
System Weight
NVIDIA DGX B300168 kg (PSU version) / 123 kg (busbar version)
NVIDIA DGX B200142.4 kg max
Software & OS Compatibility
Operating System Support
NVIDIA DGX B300NVIDIA DGX OS, Ubuntu, RHEL, Rocky Linux
NVIDIA DGX B200NVIDIA DGX OS, Ubuntu, Red Hat Enterprise Linux, Rocky
Included Software
NVIDIA DGX B300NVIDIA AI Enterprise, NVIDIA Mission Control, NVIDIA Run:ai
NVIDIA DGX B200NVIDIA AI Enterprise, NVIDIA Mission Control, NVIDIA Run:ai
Warranty & Support
Support Period
NVIDIA DGX B3003-year business-standard hardware and software support
NVIDIA DGX B2003-year enterprise hardware and software support
★

Expert Analysis

AI-assisted analysis based on published specifications

The NVIDIA DGX B300 and B200 represent two tiers within NVIDIA's Blackwell-generation AI supercomputing platform, sharing an 8-GPU, 10 RU design and 14.4 TB/s of NVLink bandwidth but differing in GPU (Blackwell Ultra vs Blackwell), host processors (Xeon 6776P vs Xeon Platinum 8570), GPU memory capacity and networking. The B300's primary advantage lies in its 2,304 GB of HBM3e GPU memory (8 × 288 GB)—60% more than the B200's 1,440 GB—making it particularly suited for massive model training where memory capacity directly determines model size and batch dimensions. This additional memory headroom enables the B300 to handle larger transformer models, more extensive context windows, and complex multi-modal AI workloads without requiring model parallelism or frequent checkpointing.

Network throughput represents the second key differentiator, with the B300 featuring 800 Gb/s ConnectX-8 NICs versus the B200's 400 Gb/s ConnectX-7. This doubling of per-port bandwidth significantly reduces communication bottlenecks in distributed training scenarios, particularly valuable for large-scale multi-node deployments where data parallelism across clusters demands high-speed interconnects. The B200 remains highly capable for single-node or smaller cluster deployments where 400 Gb/s networking provides sufficient bandwidth at a lower cost point.

Both systems are rated at 144 PFLOPS sparse FP4 inference and 72 PFLOPS sparse FP8 training, but NVIDIA quotes 1.5x the dense FP4 performance (108 vs 72 PFLOPS) and 2x the attention performance for the B300. Both share the same 14.4 TB/s NVLink bandwidth and include NVIDIA AI Enterprise and Mission Control. The choice between them hinges on workload characteristics: organisations training exceptionally large models or operating at massive scale will benefit from the B300's additional memory and networking headroom, while those with more moderate requirements may find the B200 delivers excellent performance at a more accessible price point. Infrastructure planning is not identical, though: both occupy 10 RU, but the B300 chassis is deeper (904.2 mm against 897.1 mm), draws 14.5 kW (busbar) or 15.1 kW (PSU version) against the B200's ~14.3 kW, and comes in either a 12-PSU AC version or a 54 V DC busbar version.

NVIDIA DGX B300
Best for: Large-scale AI model training requiring maximum GPU memory capacity and 800 Gb/s networking for distributed workloads.
NVIDIA DGX B200
Best for: High-performance AI inference and training workloads where 1.4 TB GPU memory and 400 Gb/s networking provide sufficient capability at optimal value.

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