USA
1 config
4x
Nvidia GB300
Grace CPU + Blackwell Ultra GPU superchip built for rack-scale AI reasoning and inference.
- Arch
- Grace Blackwell Ultra
- Memory
- 288 GB HBM3e
- Bandwidth
- 8.00 TB/s
- Released
- Q1 2025
Price history
Weekly median price per GPU per hour
Aggregating historical prices...
At a glance Updated 11 minutes ago
- Cheapest
- $18.00 /GPU/hr
- on-demand · not verified in stock
- Median price (current)
- --
- 90-day trend
- --
- Coverage
- 7 providers
- 27 price points
Pricing & availability
How this list works
The two views
By provider shows one card per company, placed where its best offer ranked. By configuration lists every offer.
Order
What you can rent comes first: in stock, then waitlist, then not reported, then out of stock. Priced offers rank ahead of quote-only, and on-demand ahead of other billing types.
Within a group, five factors set the order:
- Location: datacenter proximity, blended with provider HQ.
- Price: hourly price, per GPU and in total.
- Billing type: reserved ahead of spot, spot ahead of quote-only.
- Specs: more VRAM, vCPUs and RAM.
- Provider diversity: a provider's repeat rows rank slightly lower, so one company can't take all the top spots.
Search
We match the provider, its country, GPU model, form factor, billing type, availability and instance name. Matching is partial and case-insensitive. Everyday words work too, so "interruptible" finds spot and "sold out" finds out of stock.
Transparency and funding
- Ads and sponsors: Paid placements sit at the top of the list and are always labeled as sponsored content. Sponsorship never influences the organic ranking itself.
- Affiliates: Affiliate links are marked. We may earn a commission if you click them, but commissions never affect the order.
- Prices: Shown in USD, converted at daily reference rates where a provider publishes in another currency. A month means 720 hours. How we estimate costs.
USA
1 config
72x
USA
1 config
4x
Netherlands
1 config
1x
USA
1 config
72x
Luxembourg
1 config
72x
Verda
Out of stock
Finland
21 configs
1x-4x
No providers match .
Heads up: A provider's own page may quote a different figure, for example on tax, region or a promotion. A monthly-only plan shows a derived hourly rate. Verify before provisioning. More on how we price.
What can the GB300 run?
One GB300 has 288 GB of VRAM. In practice, that's enough memory for roughly 460B parameters at 4-bit or 125B at 16-bit, assuming a 32K context. Below are some open-weight LLMs, with the estimated memory and GPUs each one needs.
Fits on 1
Single node ≤ 8
Multi-node
| Model | Memory (INT4 / FP4) | GB300s needed | Cost /hr | Cost /mo |
|---|---|---|---|---|
Qwen3.8-27B
27B
|
18 GB
|
1
|
–
|
–
|
Gemma 4 31B
30.7B
|
22 GB
|
1
|
–
|
–
|
GPT-OSS-120B
117B · 5.1B active
|
67 GB
|
1
|
–
|
–
|
GLM-5.3-Flash
320B · 18B active
|
178 GB
|
1
|
–
|
–
|
MiniMax-M3
428B · 23B active
|
239 GB
|
1
|
–
|
–
|
DeepSeek V4.1 Flash
552B · 16B active
|
306 GB
|
4
|
–
|
–
|
Kimi K3
2.8T · 104B active
|
1,544 GB
|
6
|
–
|
–
|
Estimates based on the median on-demand rate. Memory is weights plus FP8 KV cache at 32K context per request (FP16/BF16 in the 16-bit column). GPU counts assume 90% of advertised VRAM is usable. No guarantee of runtime support, usable performance, or that a matching quantized build exists. How we estimate costs.
Technical Specifications
Nvidia GB300 · Per GPU
| Compute · dense | |
|---|---|
| FP4 | 15,000 TFLOPS |
| FP8 | 5,000 TFLOPS 10,000 with sparsity |
| FP16 / BF16 | 2,500 TFLOPS 5,000 with sparsity |
| INT8 | 165 TOPS 330 with sparsity |
| FP32 | 80 TFLOPS |
| FP64 | 1.3 TFLOPS |
| Precision support | FP4FP6FP8FP16BF16TF32FP32FP64INT8 |
| Memory | |
|---|---|
| Capacity | 288 GB HBM3e |
| Bandwidth | 8,000 GB/s |
| Bus width | 8,192-bit |
| ECC | Yes |
| Silicon | |
|---|---|
| Architecture | Blackwell Ultra |
| Process | TSMC 4NP |
| Transistors | 208 billion |
| Shader cores | 20,480 CUDA cores |
| Matrix cores | 640 Tensor cores |
| Compute units | 160 SMs |
| Fabric and host | |
|---|---|
| GPU interconnect | NVLink 1,800 GB/s |
| Host interface | PCIe 6.0 x16 |
| Power | |
|---|---|
| Board power | 1,400 W |
| Cooling | Liquid |
| Platform | |
|---|---|
| Partitioning | MIG, up to 7 instances |
Source: official Nvidia GB300 datasheet.
Frequently Asked Questions
How much does the GB300 cost per hour?
-
As of September 12, 2026, we track 27 configs from 7 providers. Prices are per GPU per hour.
Billing type Configs Median /GPU/hr Cheapest On-demand
4
$18.00
Reserved
16
On request
Spot
3
Sold out
No median for on-demand: we only show this when at least 3 providers list the GPU on that billing type. 4 providers also quote the GB300 on a custom contract, priced per deal.
Who has the cheapest GB300?
-
The lowest listed on-demand price for the GB300 is $18.00 per GPU per hour from Oracle Cloud, though we haven't verified current stock.
Where can I rent a GB300?
-
GetDeploying currently tracks GB300 configs from 7 providers. See the full price comparison above for every provider and config.
How many GB300 GPUs do I need?
-
One GB300 runs models up to roughly 460B parameters at 4-bit quantization or 125B at 16-bit, assuming a 32K context. Larger models run across multiple GPUs: the model table above shows the estimated memory and GPU count for popular open-weight LLMs.
Why choose the GB300?
-
Pairs Grace CPUs with Blackwell Ultra GPUs carrying 288GB HBM3e each, connected in a 72-GPU NVLink domain. Suited for frontier-scale training and long-context reasoning inference where per-GPU memory and interconnect bandwidth are the bottleneck.
Alternatives to Nvidia GB300
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