NXIO Enterprise GPU Infrastructure Configurations.
NXIO provides enterprise AI infrastructure sourcing, deployment coordination, GPU compute leasing, data center coordination, networking integration, and related infrastructure services for enterprise, research, sovereign AI, cloud, and high-performance computing deployments.
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H100
The Proven Workhorse NVIDIA's battle-tested Hopper-generation GPU, the H100 is the backbone of modern AI infrastructure. Ideal for training mid-scale models, running high-throughput inference, and production workloads that demand reliability and broad software ecosystem support. A cost-effective entry point into enterprise-grade AI compute.
Configuration Parameters
GPU
8 × NVIDIA HGX H100 80GB SXM5
CPU
2 × Intel Xeon 8468, 48C, 2.1 GHz
System
Supermicro SYS-821GE-TNHR or equivalent
Memory
32 × 64GB DDR5 RDIMM
SSD1
2 × 960GB NVMe
SSD2
4 × 7.68TB NVMe
NIC-1
8 × 400G NDR
NIC-2
1 × dual-port 200G InfiniBand NIC
NIC-3
Intel X550 dual-port 10GbE
Power Supply
6 × 3000W
Available Now
H100
The Proven Workhorse NVIDIA's battle-tested Hopper-generation GPU, the H100 is the backbone of modern AI infrastructure. Ideal for training mid-scale models, running high-throughput inference, and production workloads that demand reliability and broad software ecosystem support. A cost-effective entry point into enterprise-grade AI compute.
Configuration Parameters
GPU
8 × NVIDIA HGX H100 80GB SXM5
CPU
2 × Intel Xeon 8468, 48C, 2.1 GHz
System
Supermicro SYS-821GE-TNHR or equivalent
Memory
32 × 64GB DDR5 RDIMM
SSD1
2 × 960GB NVMe
SSD2
4 × 7.68TB NVMe
NIC-1
8 × 400G NDR
NIC-2
1 × dual-port 200G InfiniBand NIC
NIC-3
Intel X550 dual-port 10GbE
Power Supply
6 × 3000W
Available Now
H200
Hopper, Supercharged The H200 brings 141 GB of HBM3e memory and dramatically higher bandwidth, making it the go-to upgrade for teams hitting memory walls on H100s. Benchmark analysis shows the H200 processes large model inference nearly 2× faster than the H100 — perfect for real-time applications and large language model serving without re-architecting your stack.
Configuration Parameters
GPU
8 × NVIDIA H200 141GB
CPU
2 × Intel Xeon Platinum 8558, 2.1 GHz, 48C/96T
Memory
32 × 64GB RDIMM
SSD1
2 × 960GB NVMe
SSD2
4 × 7.68TB NVMe
NIC-1
8 × ConnectX-7 single-port 400G-OSFP
NIC-2
1 × dual-port 200G InfiniBand NIC
NIC-3
1 × dual-port 25G Ethernet
NIC-4
1 × dual-port 25G Ethernet
BMC
1 × embedded RJ45 management port
Available Now
H200
Hopper, Supercharged The H200 brings 141 GB of HBM3e memory and dramatically higher bandwidth, making it the go-to upgrade for teams hitting memory walls on H100s. Benchmark analysis shows the H200 processes large model inference nearly 2× faster than the H100 — perfect for real-time applications and large language model serving without re-architecting your stack.
Configuration Parameters
GPU
8 × NVIDIA H200 141GB
CPU
2 × Intel Xeon Platinum 8558, 2.1 GHz, 48C/96T
Memory
32 × 64GB RDIMM
SSD1
2 × 960GB NVMe
SSD2
4 × 7.68TB NVMe
NIC-1
8 × ConnectX-7 single-port 400G-OSFP
NIC-2
1 × dual-port 200G InfiniBand NIC
NIC-3
1 × dual-port 25G Ethernet
NIC-4
1 × dual-port 25G Ethernet
BMC
1 × embedded RJ45 management port
Available Now
B200
The Blackwell Leap The B200 delivers 2.3× the compute and 1.7× the memory bandwidth of the H200, marking NVIDIA's generational jump to the Blackwell architecture. With 192 GB of HBM3e and 8 TB/s bandwidth, it's purpose-built for training frontier LLMs, building AI inference platforms, and next-generation throughput demands at scale.
Configuration Parameters
GPU
8 × NVIDIA HGX B200, 180GB HBM3e
CPU
2 × Intel Xeon 6 / Xeon Platinum class processors
Memory
32 × 64GB DDR5 RDIMM, configurable up to 4TB
SSD1
2 × 960GB NVMe boot SSD
SSD2
4 × 7.68TB NVMe data SSD
NIC-1
8 × NVIDIA ConnectX-7 single-port 400G OSFP / NDR
NIC-2
1 × dual-port 200G InfiniBand / Ethernet NIC
NIC-3
1 × dual-port 25G / 10G management Ethernet
BMC
1 × embedded RJ45 management port
Power Supply
Approx. 14–15kW max system power
Available Now
B200
The Blackwell Leap The B200 delivers 2.3× the compute and 1.7× the memory bandwidth of the H200, marking NVIDIA's generational jump to the Blackwell architecture. With 192 GB of HBM3e and 8 TB/s bandwidth, it's purpose-built for training frontier LLMs, building AI inference platforms, and next-generation throughput demands at scale.
Configuration Parameters
GPU
8 × NVIDIA HGX B200, 180GB HBM3e
CPU
2 × Intel Xeon 6 / Xeon Platinum class processors
Memory
32 × 64GB DDR5 RDIMM, configurable up to 4TB
SSD1
2 × 960GB NVMe boot SSD
SSD2
4 × 7.68TB NVMe data SSD
NIC-1
8 × NVIDIA ConnectX-7 single-port 400G OSFP / NDR
NIC-2
1 × dual-port 200G InfiniBand / Ethernet NIC
NIC-3
1 × dual-port 25G / 10G management Ethernet
BMC
1 × embedded RJ45 management port
Power Supply
Approx. 14–15kW max system power
Available Now
B300
Blackwell Ultra The B300 pushes FP4 compute performance 55% beyond the B200, with 50% more GPU memory for the most memory-intensive AI workloads on the planet. Delivering 15 petaFLOPS of dense FP4 compute and 8 TB/s of memory bandwidth, it's designed for teams running AI at planetary scale who simply can't compromise on throughput or model size.
Configuration Parameters
GPU
8 × NVIDIA B300 / Blackwell Ultra GPUs, 288GB HBM3e
CPU
2 × Intel Xeon 6 / AMD EPYC enterprise CPU platform
Memory
32 × 64GB DDR5 RDIMM, configurable
SSD1
2 × 960GB NVMe boot SSD
SSD2
4 × 7.68TB NVMe data SSD
NIC-1
8 × NVIDIA ConnectX-7 / ConnectX-8 400G or 800G-capable fabric ports
NIC-2
1 × dual-port 200G / 400G InfiniBand or Ethernet NIC
NIC-3
1 × dual-port 25G / 10G management Ethernet
BMC
1 × embedded RJ45 management port
Cooling
Air-cooled or liquid-cooled depending on OEM chassis
Power Supply
Estimated 15–18kW depending on OEM configuration
Available Now
B300
Blackwell Ultra The B300 pushes FP4 compute performance 55% beyond the B200, with 50% more GPU memory for the most memory-intensive AI workloads on the planet. Delivering 15 petaFLOPS of dense FP4 compute and 8 TB/s of memory bandwidth, it's designed for teams running AI at planetary scale who simply can't compromise on throughput or model size.
Configuration Parameters
GPU
8 × NVIDIA B300 / Blackwell Ultra GPUs, 288GB HBM3e
CPU
2 × Intel Xeon 6 / AMD EPYC enterprise CPU platform
Memory
32 × 64GB DDR5 RDIMM, configurable
SSD1
2 × 960GB NVMe boot SSD
SSD2
4 × 7.68TB NVMe data SSD
NIC-1
8 × NVIDIA ConnectX-7 / ConnectX-8 400G or 800G-capable fabric ports
NIC-2
1 × dual-port 200G / 400G InfiniBand or Ethernet NIC
NIC-3
1 × dual-port 25G / 10G management Ethernet
BMC
1 × embedded RJ45 management port
Cooling
Air-cooled or liquid-cooled depending on OEM chassis
Power Supply
Estimated 15–18kW depending on OEM configuration
Available Now
GB300
The Grace Blackwell Ultra Superchip The GB300 "Grace Blackwell Ultra" fuses a 72-core Grace CPU with a Blackwell Ultra GPU on a single package, supporting up to 784 GB of unified memory and delivering roughly 20 petaFLOPS of peak AI throughput. In rack-scale NVL72 configuration, it reaches 1.1 ExaFLOPS of FP4 — 1.5× the AI performance of its GB200 predecessor. The ultimate solution for hyperscale AI training and the largest foundation models in existence.
Configuration Parameters
GPU
72 × NVIDIA Blackwell Ultra B300 GPUs
CPU
36 × NVIDIA Grace CPUs
CPU Cores
2,592 Arm Neoverse V2 cores total
GPU Memory
20TB total HBM3e GPU memory
CPU Memory
17TB LPDDR5X CPU memory
Total Fast Memory
37TB
NVLink
72-GPU NVLink domain
NVLink Bandwidth
130TB/s total
Network Fabric
NVIDIA Quantum-X800 / InfiniBand scale-out fabric
Cooling
Direct liquid-cooled rack-scale architecture
Deployment Type
Full rack AI factory / rack-scale compute system
Use Case
Frontier model training, reasoning inference, sovereign AI, large-scale HPC
Available Now
GB300
The Grace Blackwell Ultra Superchip The GB300 "Grace Blackwell Ultra" fuses a 72-core Grace CPU with a Blackwell Ultra GPU on a single package, supporting up to 784 GB of unified memory and delivering roughly 20 petaFLOPS of peak AI throughput. In rack-scale NVL72 configuration, it reaches 1.1 ExaFLOPS of FP4 — 1.5× the AI performance of its GB200 predecessor. The ultimate solution for hyperscale AI training and the largest foundation models in existence.
Configuration Parameters
GPU
72 × NVIDIA Blackwell Ultra B300 GPUs
CPU
36 × NVIDIA Grace CPUs
CPU Cores
2,592 Arm Neoverse V2 cores total
GPU Memory
20TB total HBM3e GPU memory
CPU Memory
17TB LPDDR5X CPU memory
Total Fast Memory
37TB
NVLink
72-GPU NVLink domain
NVLink Bandwidth
130TB/s total
Network Fabric
NVIDIA Quantum-X800 / InfiniBand scale-out fabric
Cooling
Direct liquid-cooled rack-scale architecture
Deployment Type
Full rack AI factory / rack-scale compute system
Use Case
Frontier model training, reasoning inference, sovereign AI, large-scale HPC
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