Since each hmc has 8 layers of dram, my guess is that for first version they prefer to use old manufacturing lines and get some money from them, instead of taking a risk a reusing new manufacturing lines.
The size of the modules (2GB) makes this look like a technology for local GPU memory or perhaps even for mobile devices. But servers? How does this add up to 128GB or more seen on modern servers? Is there something else in plan for that market, or does that remain DDR4 territory?
Power costs at 10 cents/kWh are about 80 cents per year per watt. Many data centers have lower contracts than that, but should add in overheads to build the power distribution and substation so it is on balance a fair estimate. A 200W server (which includes the overhead ratio for a modern DC) is costing about $160 per year for power. This puts the cost of power under 10% of operating costs.
The bigger cost is opportunity cost. A DC is generally built out to the max power the site can obtain, so every watt in that 200W must be optimized. If you add 1W in DRAM then you subtract 1W from something else. Each W thus has an opportunity cost of about 0.5% of the server which more like $10 per year.
So, you have the right conclusion, but it can be helpful to have a better model of why.
Components which save power in the server market are definitely valuable. Each W saved is worth dollars, so long as performance is not compromised.
3% * 4100 = $123 = $7.6 per GB of power savings (without speaking about other benefits). Considering the fact that DDR(consumer- serever costs more) costs $11.5 per GB , those power savings look like a good reason for adding an HMC to a cloud server even as main memory.
HMC, HBM and other technologies are certainly very interesting but I dont see how they would replace commodity DDR4 DRAM anytime soon. Am I missing something here?
The cost/bit of DDR3/DDR4 will continue to be much lower than what HMC/HBM will offer for a long time. HMC and HBM do offer interesting possibiities with on-die memory stacking, fast look-aide memory but will they replace DDR4 a the main memory for processors?
What are the engineering and design challenges in creating successful IoT devices? These devices are usually small, resource-constrained electronics designed to sense, collect, send, and/or interpret data. Some of the devices need to be smart enough to act upon data in real time, 24/7. Are the design challenges the same as with embedded systems, but with a little developer- and IT-skills added in? What do engineers need to know? Rick Merritt talks with two experts about the tools and best options for designing IoT devices in 2016. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.