MI355X
AMD · CDNA 4
NVIDIA HGX B300: only 9 GPUs left at $4,899/mo, 25% below market.Only 9 B300 left at $4,899/mo
Configure B300NVIDIA · Blackwell Ultra · SXM · 8-GPU HGX
The NVIDIA B300 is Blackwell Ultra: 288 GB of HBM3e per GPU and 13.5 PF of dense FP4, built for reasoning-model inference and very large fine-tunes. An 8-GPU HGX B300 server gives you 2.3 TB of GPU memory on a single 1.8 TB/s NVLink 5 domain.
Blackwell Ultra trades FP64 throughput for AI throughput: for double-precision science, B200 or MI355X are better fits.
One flat price per GPU, the same from 1 to 8 GPUs. The market median is the public on-demand list price of specialist GPU clouds × 730 hours.
| Server | CoreGPU / month | Market median / month | You save / month | You save / year | ≈ per GPU-hour |
|---|---|---|---|---|---|
| 1× B300 | $4,899 | $1,653 | $19,836 | $6.71 | |
| 2× B300 | $9,798 | $3,306 | $39,672 | $6.71 | |
| 4× B300 | $19,596 | $6,612 | $79,344 | $6.71 | |
| 8× B300 | $39,192 | $13,224 | $158,688 | $6.71 |
Prices in USD, excluding taxes. Market median checked Nov 4, 2026 across specialist GPU clouds; hyperscalers excluded. All GPU prices
Pick B300 for FP4 inference and memory (288 vs 180 GB). Pick B200 when you need strong FP64 or the lower price matters more than memory.
| B300 | B200 | |
|---|---|---|
| Architecture | Blackwell Ultra | Blackwell |
| GPU memory | 288 GB HBM3e | 180 GB HBM3e |
| Memory bandwidth | 8 TB/s | 8 TB/s |
| FP8 dense | 4.5 PF | 4.5 PF |
| FP4 dense | 13.5 PF | 9 PF |
| Interconnect | NVLink 5 · 1.8 TB/s | NVLink 5 · 1.8 TB/s |
| Power (TDP) | 1,100 W | 1,000 W |
| Price per GPU / month | $4,899 | $4,449 |
| Price per GB of memory | $17.01 | $24.72 |
| Price per FP8 PFLOPS | $1,089 | $989 |
| Availability | Only 9 left | Back Nov 20 |
Per-GPU figures from the vendor datasheet. Tensor throughput is dense (without sparsity).
| Model | NVIDIA HGX B300 |
|---|---|
| Architecture | Blackwell Ultra |
| Form factor | SXM · 8-GPU HGX |
| GPU memory | 288 GB HBM3e |
| Memory bandwidth | 8 TB/s |
| FP8 Tensor (dense) | 4.5 PF |
| FP4 Tensor (dense) | 13.5 PF |
| Interconnect | NVLink 5 · 1.8 TB/s |
| Power (TDP) | 1,100 W |
| GPUs per server | 1 to 8 |
| Availability | Only 9 left |
Another question? Our engineers answer within one business day.
Contact us$4,899 per GPU per month at CoreGPU, about $6.71 per GPU-hour, versus a market median of $6,552 ($8.98/hour × 730 h). A full 8-GPU server is $39,192 per month, taxes excluded.
Yes: only 9 left in the current allocation of 64 GPUs. In-stock servers are delivered with root SSH access in under 60 seconds after payment.
From 1 to 8 GPUs per server, at the same price per GPU. Servers with 8 GPUs come with the full NVLink 5 mesh. Need more? Rent several servers or ask for a private allocation.
Pick B300 for FP4 inference and memory (288 vs 180 GB). Pick B200 when you need strong FP64 or the lower price matters more than memory. See the full B300 vs B200 comparison.
Dedicated GPUs (never shared or sliced), root SSH access, your choice of a clean OS or a ready image with CUDA, PyTorch and vLLM, local NVMe scratch, and month-to-month billing with no setup fee.
Pick 1 to 8 GPUs in the configurator above. Month to month, cancel anytime.